Siemens simulation software powers Continental’s digital manufacturing journey

Product: Tecnomatix
Industry: Automotive

The realm of smart automation is complex and encompasses the integration of advanced technologies and intelligent systems to enhance and automate industrial processes. Explore the convergence of simulation and smart automation between Siemens Digital Industries Software and Continental, a major player in automotive technology, dedicated to sustainable and connected mobility solutions. Explore how Siemens simulation software in the Tecnomatix® portfolio powers Continental’s digital manufacturing transformation. Dive into the intricate world where Process Simulate and Plant Simulation help coordinate a symphony of efficiency for Continental. 

Founded in 1871, Continental is renowned for pioneering technologies that ensure safe, efficient, intelligent and affordable solutions for vehicles, machines and transportation. Jakub Hamerník, Continental’s Smart Automation Manager, sheds light on the profound impact of how Siemens software enables seamless digitalization on the shop floor, transforming processes and applications to enhance production timelines and efficiency. Siemens and Continental, long-time collaborators in PLCs and control systems, have deepened their partnership in recent years, particularly focusing on simulation. A pivotal aspect of this collaboration is the development of the digital twin factory, specifically the collection of production line data for future optimization, tracking and analysis. 

A new standard: a collaborative approach to manufacturing efficiency  

Central to this partnership is the challenge of streamlining the process flow from raw material to the end of production. Siemens simulation products play a critical role in providing comprehensive process information well before the production line delivery. This marks a significant departure from the previous norm, where engineers spent three to five years on the task. With Siemens, this duration has been slashed to a remarkable one and a half years, setting a new standard in the industry. 

Thanks to the Siemens products, we have all relevant information from the process point of view prepared months before the delivery of the production line. Before, the engineers would take 3-5 years to make it. Now we are able to make it in 1.5 years.”

Jakub Hamerník, Continental, Smart Automation Manager 

In a dynamic environment where original equipment manufacturers (OEMs) frequently update their car models, Continental recognizes the imperative to deliver new products efficiently and timely. Siemens software solutions enable Continental to meet these demands, facilitating the optimization of overall equipment efficiency (OEE) on production lines. 

Continental’s vision extends beyond the production floor, aiming to integrate Siemens’ products with their manufacturing execution system (MES) and enterprise resource planning (ERP) system. The goal is to establish a complete digital twin of the factory, effectively bringing IT applications to the shop floor. This comprehensive approach will provide insights into the entire end-to-end process, enabling real-time monitoring of goods, production progress and delivery timelines. 

From concept to reality: Siemens and Continental’s strategic partnership 

A moment of revelation for Continental occurred when its production line seamlessly transitioned without collisions. The simulation-derived cycle time was accurate, allowing Continental to commence production immediately after activation—a ‘wow effect’ resonating with both Jakub and Continental management. 

Audi uses Simcenter to enhance the accuracy and speed of simulations for EV batteries

Product: Simcenter
Industry: Automotive

Developing safer, more reliable EV batteries

Accurately predicting the thermal performance of EV batteries is perhaps the most critical challenge facing automotive original equipment manufacturers (OEMs). Batteries have a temperature zone they can operate in to avoid failure. If the battery goes outside this zone, it can reduce the battery’s lifetime or even jeopardize occupant safety.

It is therefore no surprise that Audi, a brand known worldwide for its superior premium vehicles, has formed a highly specialized team dedicated to high voltage battery system concept development. Located in Germany, this team’s contributions are crucial to Audi’s vision of designing the mobility of tomorrow and ensuring an exceptional driving experience that is digital, electric and sustainable.

Increasing thermal model accuracy

Joohwa Sarah Lee, concept development engineer, is part of this team and specializes in battery thermal performance.

“Building accurate thermal simulation models is a critical aspect of my team’s work,” says Lee. “The models themselves are very important, as they directly contribute to our goal of optimizing thermal performance of the batteries.”

In 2021, Lee and her team discovered that, for certain cases and conditions, the simulation output did not match the test measurements. As a result, Lee set out to improve the quality of these simulation models. Lee and her team selected Siemens Digital Industries Software’s Simcenter™ Engineering and Consulting services as a development partner.

“We selected Simcenter because their tools enabled a seamless connection between not only 1D and 3D models, but also connectivity to third-party tools,” says Lee. “Simcenter Engineering Services provided the technical knowledge and support to help us set up these integrations and ensure the highest possible accuracy.”

Combining 1D and 3D simulations

Traditionally, module and pack geometry have been modeled using 3D computational fluid dynamics (CFD) thermal simulation. This method has significant computational costs and can take days or weeks to complete. Additionally, extensive knowledge of parameters and 3D simulation experience is required to produce an accurate 3D model. Performing 1D system simulation is much faster, but it is often challenging to generate 1D models from a 3D model without compromising accuracy.

Simcenter Engineering Services set out to create a faster, more accurate battery stack thermal model to support Audi’s battery management systems, from the initial strategy development to validation with the rest of the vehicle’s subsystems. These models needed to consider several parameters, including current, coolant temperature variations, connectivity with 1D electrical models and integration with MATLAB/Simulink. Lee and her team provided the Simcenter team with test cases and boundary conditions for a variety of scenarios.

A customized workflow

By combining Simcenter STAR-CCM+™ software and Simcenter Amesim™ software, which are part of the Siemens Xcelerator business platform of software, hardware and service, Simcenter Engineering Services experts developed a semiautomated workflow to generate a 1D system-level model in Simcenter Amesim from a 3D Simcenter STAR-CCM+ model. The purpose of this workflow was to make sure Audi’s 1D simulation users could benefit from the high level of detail provided by 3D models while also maintaining the speed of 1D simulation.

Using specified inputs, Simcenter STAR-CCM+ was used to calculate several steady state conditions covering the chosen design space, such as inlet coolant temperature, flow rate and current. The data can then be used to derive a 1D electro-thermal model for investigating transient scenarios for the complete stack.

Reducing time, increasing accuracy

The workflow developed by Simcenter Engineering Services experts has reduced the computational time of battery thermal simulations to just minutes. One of the most vivid examples is simulating an EV battery charging scenario from 10 percent battery capacity to 80 percent.

“As a result of our project with Simcenter Engineering Services, we were able to reduce the simulation time of the charging scenario from almost an entire day to less than a minute,” Lee says. “This is a huge difference in calculation time. We have also seen a significant improvement in the simulation results, especially for thermal behavior studies.

“We explored other solutions for this problem, but no other company offered the level of connectivity between tools that Siemens did. Combining a detailed 3D model in Simcenter STAR-CCM+ with the speed and efficiency of Simcenter Amesim and third-party tools supported by the Simcenter Engineering Services team provided a crucial advantage. We are also excited to explore other aspects of the Simcenter portfolio, including Simcenter Battery Design Studio.”

Lee and her team are optimistic about the future of their partnership with Simcenter Engineering Services.

“We will continue to apply our new tools and methodologies to future challenges,” says Lee. “We are thankful for the support provided by the Simcenter Engineering Services team and their willingness and ability to help us solve difficult problems.”

Hyundai Motor Group uses AI to reduce the parameter optimization process from 1 week to 15 minutes

Product: Simcenter
Industry: Automotive

AI-powered shift left

In the vehicle development process, it is advantageous for companies to shift left in the V-cycle as much as possible. By avoiding late-stage design changes, engineering teams can achieve significant time and cost savings and help drive products to market faster.

Artificial intelligence (AI) is an increasingly popular tool to enable engineering teams to shift left. For example, engineers can train neural networks to search through enormous amounts of simulation models and data and help identify the ideal vehicle or component configuration.

Powered by AI, the effort to shift left is more urgent than ever as the world transitions to a more sustainable future with electrification. Many original equipment manufacturers (OEMs) are in the process of transitioning from producing internal combustion engines (ICEs) to battery-powered vehicles. Each of these vehicles has years of development data and simulation models that now need to be adapted for electrification.

Neural networks for vehicle target setting

Simcenter Engineering Services and Hyundai Motor Group partnered to use AI to reduce the parameter optimization process for the Genesis GV 80.

At the start of their electrification journey, Hyundai Motor Group (HMG) recognized the need to implement AI to enable a seamless shift left in the electric vehicle development process. In 2023, they partnered with Simcenter Engineering and Consulting services to build the neural networks that will enable them to define architecture-driven requirements at the concept stage of vehicle development.

Early in the design process (at the left of the V-cycle), engineering teams typically have an estimate of what they would like to see from their next generation of vehicle, including mass, size, suspension technology, etc. These early ideas need to be explored and analyzed in the most efficient way possible to define the ideal design and configuration. Target setting for attributes such as optimal mass, kinematics, drivability, ride and handling gives engineering teams subjective key performance indicators (KPIs) to meet. The earlier these targets can be met, the more time and cost savings a company can reap.

Ilsoo Jeong, comfort engineer, is part of the driving comfort virtual development team at Hyundai Motor Group. His team was tasked with target setting for chassis development of the Genesis GV 80, which will be released in a future generation as an electric vehicle (EV).

“Our goal was to achieve the best possible comfort and handling performance, so we had to consider hundreds of chassis parameters, such as mass distribution, suspension kinematics, the mounting system,” says Jeong.  “We also needed to consider how these designs and configurations would need to be changed considering the ICE will be replaced with a battery.

“Additionally, we wanted the ability to perform sensitivity analyses to quickly understand how changes to the design of one component may impact the performance of others. We realized that taking advantage of AI could help us accomplish this quickly and efficiently. We partnered with Simcenter Engineering and Consulting Services to build these neural networks because they had the most expertise in Simcenter Amesim, our preferred tool, and because of their vast expertise in the vehicle development process.”

EV architecture optimization

In a separate project, the Simcenter Engineering Services team had collaborated with HMG engineers to develop an architecture in Simcenter Amesim software that could be used to evaluate a variety of vehicle maneuvers and provide automatic postprocessing.

This architecture allowed criteria to be weighed separately – including 52 individual KPIs for each requirement – to achieve an overall score, and it could handle over 350 parameters as input.

In this project, Simcenter Engineering Services expanded on this work to apply it to the chassis. Using the targets provided by HMG, Simcenter engineers generated over 200,000 simulation models in Simcenter Amesim and validated them against real vehicles. They saved the simulation results in a high-performance computing (HPC) to make them run faster in the future.

“Simcenter Amesim was the driving force behind our decision to select Siemens for this project,” explains Jeong. “Only Simcenter Amesim had the capabilities to perform the number of simulations we needed, as well as the flexibility for attributes such as NVH frequency. Simcenter Amesim was also advantageous because it enabled us to work with our own templates rather than a prepackaged one. When it came to flexibility and simulation time, Simcenter Amesim was the best choice.”

Using Simcenter Reduced Order Modeling software, Simcenter Engineering Services created and trained a neural network to deliver simulation results that enables direct optimization of models later in the process. This neural network integrates with HEEDS software to assist HMG engineers in identifying the ideal vehicle configuration.

Using AI to reduce the parameter optimization process from weeks to minutes

“If our targets or parameters change, we will no longer need to start the entire process from scratch,” says Jeong. “We can now find the optimal parameter set very quickly by searching through the neural network built by Simcenter Engineering Services. The ability to easily retrieve these simulation results means we can give very quick feedback to each subsystem team on the ideal configuration. Later in development, we will also be able to efficiently compare the vehicle’s driving performance to our targets by using the benchmarking data retrieved by the neural network.”

AI-enabled time savings

The collaboration with Simcenter Engineering Services and use of Simcenter software has led to significant engineering process benefits for Jeong’s team.

“Before this project, one requirement evaluation took two minutes to run in simulation,” says Jeong. “Using the neural network developed by Simcenter Engineering Services, this was reduced to one-tenth of a second. Similarly, our subsystem parameter optimization process used to take a week. With the help of Simcenter Engineering Services, this has been reduced to 15 minutes.”

Together, Jeong and the Simcenter Engineering Services team are working to reap even more efficiency benefits from this neural network. They will soon integrate with Teamcenter software to fully link to and provide traceability for parameters and requirements. This will enable a program manager with no knowledge of simulation to directly input their requirements and use parameters from a previous project to run simulations directly on the web. They can then predict system performance or optimize parameter sets for subsystems, bringing the power of system simulation to nonexperts.

“Siemens’ Simcenter portfolio and Simcenter Engineering Services will continue to be a special development partner for HMG,” says Jeong. “Our companies have a strong relationship and I look forward to collaborating on future projects.”

CETIM – using AI and Simulation to gain the advantage

Product: Simcenter
Industry: Aerospace, automotive

CETIM is a research and study center that supports many industries (aerospace, automotive, agriculture, construction, energy, oil & gas, process) in their current and future technological challenges.

  • Collective studies (link between academia and industry)
    • Study common problems for a large set of industry players to share/capitalize on knowledge/know-how
  • Commercial studies (service offering)
    • Specific engineering services for companies who do not necessarily have the tools or expertise in-house

CETIM aims at improving the competitiveness of the companies that benefit from its services/studies thanks to mechanical engineering, innovation transfer and advanced manufacturing solutions.

The range of skills and expertise offered by CETIM is very wide (see image below + “metallic and composite materials, surface treatments, manufacturing processes, assembly, sealing, fluid and flows, NDT, …”).

A simulation poll bringing together about thirty simulation engineers was created in 2017 under the direction of Thierry Raphenne to meet the needs of analysis in the product development phase, which are more and more prevalent in the industry.

CETIM areas of expertise

Part 1 – Simulation team: Experts to support industry engineering challenges

Thierry Raphenne and his team ran a simulation poll on a community of experts. Thierry supervises that team of 30 people who work full time on simulation analysis projects (mechanics, finite element, CFD, DEM…). He has worked in this field since his engineering study. At CEA, his thesis established a material behavior model with finite element method.
Expectations from the industry on requesting expert support from CETIM:

  • Validate product sizing
  • Understand the source of a failure. (Failure analysis, simulation helps to understand and explain the phenomena)

“What simulation brings is a better understanding of what’s going on and an acceleration of the implementation / release of products. For example, the design of a car today is done in less than 18 months versus 5 years ago. The use of simulation accelerates the process of validation and design of industrial products. Without simulation > more recurrent breakage because many fatigue situations are not considered, which are at the origin of part breakage.” – Thierry Raphenne

Simulation allows us to analyze more use-case and consequently, therefore can reduce development costs.

Without simulation, the work was done more on simplified hypotheses. This led to the oversizing of certain parts of the machine to ensure that they fitted and did not break.


Part 2: A strong link between academia and industry to meet common needs – with a particular focus on co-simulation

Collaboration among academia and industry worlds

CETIM offers the opportunity to bridge the gap between the industry players and academics, based on real-world cases coming from the industry. Those work groups allow the development of strong skill sets for the company benefiting from CETIM simulation expertise. Those transversal projects assemble up to 80 industry representatives who are then split into subgroups to work on given topics. One of the projects co-led among CETIM, the industry and the academic world is to focus on simulation and coupling.


Focus on co-simulation

For industrial players involved in that collaborative working group, it’s key to focus simulation and coupling among various types of simulation (from 1D to 3D, to couple Multiphysics with multibody type of simulation..). The aim is to verify and validate the design of a complete (and complex) system using simulation.

After this working group, the idea is to establish what are the know-how that can be easily transferred to the industrial players, based on a real demonstrator built by the team.


Part 3: The strength of Simcenter simulation solutions

The CETIM simulation team opted for Simcenter

The team chose simulation software from the Simcenter portfolio because these solutions “provide a wide range of physics, mechanical, fluidic, thermal, which allows multi-physics simulations to be performed with a single environment. Simcenter solutions are open to input/output from/to other simulation solutions.” – Thierry Raphenne


The development of a methodology to spread the use of software

“we have developed templates on the way to use Simcenter software to save time for post-processing of results, for combining constraint values. Available to all users of the software.”
“There is still a lot of work to do to internally to create a strong/solid simulation community. We still need to convince non-users of the simulation of the usefulness and create a dynamic team.”

“People are more eager to trust simulation analysis when it cannot be visualized by tests (in the case of CFD for example). Highlighting of very complex, very coupled phenomena, which cannot be done in tests / allows us to popularize more the utility of simulation tools” – Thierry Raphenne


Part 4: Application cases – simulation to answer very complex engineering challenges application cases – almost impossible to test.

The industry needs is to get things done right the first time, to reduce time to market delivery with a reliable and durable product.


Application case 1 :

Increase the lifespan of machine parts. In the context of energy transition, being able to predict lifespan of machine parts and increase the durability of equipment.

CETIM - Heavy Machinery
Application case – Heavy construction machine


Application case – Heavy construction machine


Application case 2:

“Thanks to Simcenter STAR-CCM+ technical feature, especially on DEM application we could win new projects to support the agricultural industry”

2-Phase Mulch Modelling

Part 5 : Machine learning and artificial intelligence – future of simulation

  • The future of simulation involves the use of AI with the implementation of machine learning methods.  This will be increasingly used by industry and will boost the use of simulation. Simulation will help refine and develop models in complex contexts. Benefits from studies and related results achieved on previous projects will be used to nurture new projects (part of the transverse project simulation and coupling.)
  • Coupling data from testing and simulations campaign will naturally follow thanks to an increasingly important use of machine learning > integration of data coming from the test bench.

Ingemat: a virtual commissioning success story

Product: Tecnomatix
Industry: Automotive

Automotive engineering company uses Tecnomatix virtual commissioning software to better meet customer requirements while driving operational efficiency.

Ingemat employees using Process Simulate software for virtual commissioning solutions
Ingemat employees using Process Simulate software for virtual commissioning.

Ingemat is a Spanish engineering company offering robotic automation services for different industrial sectors, specializing in turnkey, tailor-made projects for the automotive industry. Their services cover installation design, erection, assembly, and commissioning to achieve the customer’s requirements for cycle time and quality. The primary technologies used in their projects include welding, hemming, bonding, clinching, and riveting.

Why Ingemat adopted virtual commissioning technology

Designing, deploying, and constructing a production line has always been based on a sequential process— The fixture installation is followed by robot installation and ensuring smooth operation with the equipment. Then, equipment and robots are integrated with programmable logic controller (PLC) automation until a qualified prototype can be produced. 

But this waterfall process is time-consuming and costly, involving massive robot and control code debugging and dealing with physical installation and cabling and wiring issues. It also requires using several expensive prototype assets that are not always available on time. This makes engineers perform under restrictive time constraints and high-stress levels, especially in the automotive space, where high-quality standards are imposed. 

The high standards of the automotive industry require Ingemat to work efficiently with as few errors as possible to meet timing and cost milestones. Because of this, they adopted Process Simulate in the Tecnomatix® portfolio of digital manufacturing software for robotics simulation and virtual commissioning.

“I would say, based on experience acquired in recent years, the selection of Process Simulate as a tool for virtual commissioning has been the right choice.

Oscar Vázquez, Electrical Engineering Deputy Manager at Ingemat

Watch this video to learn why Siemens was the right choice, or continue reading below.

Process Simulate helps Ingemat drive operational efficiency

Projects at Ingemat start with mechanical design and simulation, while electrical design progresses in parallel. After completing or advancing the mechanical design and simulation to a mature stage, offline robot programming (OLP) and PLC programming will kick off, followed by virtual commissioning. 

Using Process Simulate, Ingemat has realized virtual commissioning projects with different robot brands such as ABB, KUKA, Fanuc, Yaskawa, and Kawasaki – all this in connection with PLCs issued from Siemens and Allen‑Bradley, as well as custom-defined hardware.

Process Simulate software screenshot showing a virtual commissioning project by Ingemat
Ingemat uses Process Simulate and virtual PLC software together for virtual commissioning projects.

This methodology using Process Simulate allows Ingemat to parallelize work and shift most of the engineering tasks to the left in the project timeline, performing them in the back office.

Enabling mechanical, robotics, and controls departments to collaborate in the same platform allows the robot programs and the automation control code for PLCs and human-machine interfaces (HMIs) to be validated in the virtual environment before their delivery to the shop floor. 

As a result, the physical commissioning phase is much shorter and more efficient, requiring less debugging effort and fewer prototype assets, allowing the virtual commissioning personnel to focus on the quality of the produced assembly rather than the debugging of program code.

Why Process Simulate was the right choice for Ingemat

In a typical project, Ingemat implements virtual commissioning on a robotic zone, including up to 10 robots performing various tasks.

Once the virtual commissioning technician sets the engineering environment, it takes 2 to 3 weeks to test the production scenario and finish the virtual commissioning phase via the collaboration between the PLC and robot programmers. 

Consequently, robot programs and PLC codes are validated in the virtual environment and are already in a mature state when reaching the shop floor for the first time, leading to the following: 

  • 90% line readiness before physical implementation
  • 40% reduction in on-site debugging time
  • 10% savings in overall cost

The city of the future is here, and Dubai’s Micropolis Robotics is at the forefront

Product: Simcenter
Industry: Robotics

Imagine a world where communities are safer, cleaner, more efficient, and more convenient for residents.

In this world, a crime in progress can be immediately identified and reported. Groceries and food are delivered to homes without extra service fees or wait times. Trash is collected and roads are frequently cleaned with zero emissions.

All powered by robots.

It’s not the future, nor is it science fiction.

It’s happening now, and Dubai-based tech startup Micropolis Robotics is making it real.

Autonomous robots Dubai

I sat down with CEO and founder, Fareed Aljawhari, to learn more about his company and how they’ve partnered with Siemens to bring this vision to life.

Tell me about your company. What inspired you to start it?

Since I was a small child, I’ve always been fascinated with technology. You could say it’s in my blood. Funny enough, what got me interested in robotics was my discovery of a plotter back in 1996.

I remember watching a storekeeper set up a small sign and complimenting him on the artwork, expressing my admiration of the artist’s precision and quality. His response? “A person didn’t draw this, it was a robot.”

I was shocked. I asked him if he would show me the plotter and he gave me the address, so I went to see it for myself.

When I arrived, I was in awe. I must have watched that plotter run for at least 30 minutes. I asked the machine operator if he would show me how to use it. This turned into my first “job,” but because I just wanted to learn, I didn’t ask to be paid.  

A few months later, I used this knowledge to get a job at a trade center operating the plotters. I wanted the job so badly that I didn’t tell them during my interview that I was underage. Of course, they eventually found out, but I had gotten so good at operating this machine that they agreed to pay my high school and college tuition fees in exchange for my work.

In school, I studied architecture, which gave me a solid foundation in design. Then I learned about product development, and eventually jumped to marketing and brand development. This led to a career as a creative director. All this experience was vital to the founding of Micropolis Robotics, as it gave me a comprehensive understanding of what a product is.

In 2012, I started my own agency with a similar idea as what is now known as the Metaverse. This was the inspiration for the name Micropolis – think “metropolis,” but it’s micro because we want to mimic a virtual city.

In 2014, I was introduced to my first investor, who also founded the Sustainable City in Dubai. He loved the idea of a virtual city, and I began developing a graphic engine to build a virtual city for Dubai.

Fast forward to 2018 and I presented a project called Microspot to Dubai Police. Microspot is a crime deterrence/prevention software we developed based on our graphic engine that we created for the virtual city. It identifies a crime in progress and uses facial recognition software to identify the person committing the crime.

The Commander in Chief loved it and asked, “What if you added embedded this technology into an autonomous patrol robot?”

I knew we could fail, but I also knew that if I didn’t say yes, I would regret it the rest of my life. So, I said yes.

What happened next?

Next, we started to research and learn how to build robots. My background is in design, so I designed a mockup of an autonomous police robot. It was good, but the Commander in Chief told us, “Great, but it won’t work for police. You need to make it bigger.” So we went back to the drawing board.

In 2021, we finalized the visual design for the M01 and M02, our first patrol robots. After that, I started looking for investors to bring this design to life.

Autonomous robots in Dubai

This is where things got even more difficult. Dubai is very advanced – we have excellent infrastructure with an Internet City, Media Production City, and lots of industrial cities. And the government is very supportive of technologies like this, but the problem is we don’t have a lot of investors who are interested in tech and we don’t have a large pool of engineering talent here. You either need to attract talent from Europe and the United States, which is where engineering talent tends to be concentrated, or you have to make your own.

Engineer building an autonomous robot

We hired local engineers and adopted a framework inside of our company where we allowed them to experiment and make as many mistakes as possible. We learned from each other’s triumphs and errors and eventually got organized. We now have a very professional, extremely talented team and presented the first successful models of the M01 and M02 robots in 2022.

In 2023, we received an investment from Dubai Police to build the final stage of these patrol robots, and we succeeded. It’s now a production-level robot.

Autonomous robot Siemens Micropolis Robotics

The learning curve is getting shorter and shorter, our team is bigger, and everyone just got very good at what they do. I’m proud of my team. Suddenly they are all like masters of their craft.

Where does Siemens come into all of this?

We got everything right with our robots except autonomous driving. This was the biggest challenge facing our company and we needed a company like Siemens with expertise and know-how in autonomy.

We partnered with the Simcenter Engineering and Consulting Services team to develop algorithms to help us reach Level 4 in autonomous driving. For both the M01 and M02, our plan is to develop a perception layer, including internal sensors with audiometry wheels, encoders, IMU, and steering angles, as well as external sensors such as LIDAR, cameras, ultrasonics, imaging radars, and obstacle detection.

Why did you choose Simcenter Engineering and Consulting Services for this project?

Siemens and Micropolis Robotics partner

Siemens is one of those brands who, when you hear the name, you know you’re going to succeed. We selected Simcenter Engineering and Consulting Services because we needed their expertise, knowledge, and ability to get the job done right. We thought we just needed help developing some algorithms, but they’re taking our autonomous technology to a different level and have really partnered with us to develop a proper autonomous driving program.

Simcenter Engineering Services has been an incredible partner to our company. When we first contracted with them, I thought we would maybe get four or five of their engineers to work with. Instead, we get access to 26 of their engineers. It’s beyond anything I could have hoped for.

We have been delighted by the amount of expertise Simcenter Engineering Services is providing for this project. Their professionalism, organization, and level of knowledge is just extraordinary. My team and I are constantly learning from them and we are getting better every day because of them.

When will these robots be deployed?

Autonomous robot in Dubai

The Dubai Police have been excellent partners and have been very flexible in their timing with us. We are hoping to launch the patrol robots in summer 2024. We would start with residential and commercial areas first with the M02 because it is smaller. We hope to launch the M01, which is the size of an SUV, in 2025.

The delivery and cleaning robots are a bit further out. We don’t have the capacity to develop all three robots at the same time, so we will take what we have developed and learned from the patrol robots and apply similar technologies to the other robot types.

Are you expanding this beyond Dubai?

Absolutely. Abu Dhabi is also interested. The Emirati Ministry of the Interior is interested. We will first focus on the UAE and Saudi Arabia, but will eventually expand to an international scale. We won’t be regional forever.

What would you say to someone who questions the ethics of using robots to do police work? Or to those who would accuse robots of stealing jobs?

Autonomous robot for police

My response would be that this is simply a reporting robot. It sends a picture of the person committing a crime to the police along with an identification. If it has misidentified the person, the human analyzing the picture can tell the system it is wrong. However, facial recognition software has made some incredible advancements in recent years and is almost always right. But even if the facial recognition software did make a mistake, the AI embedded into the robots will learn from that mistake and use it to get better with time.

As to whether robots are stealing jobs, it is true that some jobs will vanish as new technologies emerge. But we’re also adding new jobs that didn’t exist before and augmenting others. We’re enhancing security for residents of Dubai and improving safety for Dubai Police officers by removing the need for them to go into dangerous situations.

Robots also have the potential to enhance human lives and creativity. If I can send a robot to get my groceries, that is 20 minutes of my day that I have to focus on something else or create something new. We are not only making society safer, we are also giving people time back to think and create.  

You mentioned earlier that it is challenging to hire engineers due to your location in the Middle East. Given this challenge, can you explain why you launched Micropolis Robotics in Dubai rather than somewhere else?

Autonomous robot on street in Dubai

As an entrepreneur, I believe I have a responsibility to my region. Dubai and the broader Gulf Cooperation Council (GCC) region have been actively working to transform the technology consumers in our area into technology innovators. The government of the UAE is taking proactive steps to encourage entrepreneurs from the region to take the initiative and establish their tech firms. They’ve invested heavily in developing advanced infrastructure to foster innovation in technology and attract the best talent from around the world.

Their commitment to innovation aligns perfectly with our vision at Micropolis Robotics. We are excited to be part of this transformative journey, leveraging the promising local market demand. With GCC countries increasingly focusing on developing smart cities and enhancing the well-being of our residents, the opportunities for innovative tech products and solutions are very promising here.

Succeeding here feels like a victory.

What is the future of your company and partnership with Siemens?

Our goal is to be a tech powerhouse that develops technology to automate large operations. We think Siemens will play a huge role in all our future software development – this autonomous robot project is just the beginning. We don’t live alone in this world and recognize that we need big partners like Siemens and NVIDIA in order to be successful. 

But what we’ve talked about today is just one example. Robots are just one piece of technology that is useful for humanity, and our goal is really to develop any technology that is useful for humanity.

For example, one project that is currently in the development stage is an alarm system for forests. I consider myself an environmentalist, so seeing all the recent forest fires in every corner of the earth saddens me. We are developing an idea for a sensor grid that could alert the authorities at the very start of a fire. The sensors would detect whether there is a change in the atmosphere that would indicate a fire has started. Forest authorities could then go to that location and confirm whether a fire has started and stop it before it spreads.

Our overarching goal is to develop technologies that better humanity and the planet.

Sending it with Siemens NX

Product: NX Design
Industry: Bikes

How a mountain bike enthusiast designed and manufactured his custom carbon fiber bike from scratch with Siemens NX

Siemens is not only offering products to big companies, but also small and medium businesses and even private persons can subscribe and benefit from the Siemens Xcelerator portfolio of software and services. This is what this case demonstrates:

We recently found out about the project completed by a German mountain bike enthusiast, who calls himself Uncle Bob, and his journey that started with an empty screen and ended with custom self-built carbon fiber mountain bike.

Uncle Bob’s journey

Due to an injury from biking, Uncle Bob needed a new project to keep himself entertained. He is the founder of an engineering consultancy, which is why he owned the Siemens NX CAD software and has experience with it. So, in his free time he just started directly scribbling in Siemens NX with a try and error approach and with the following weeks, his ideas became a solid concept. 

Bob was especially delighted with the plentiful and individual 3D visualization options NX had to offer, they enabled him to work creatively and to see the realistic result of his design before building. 

Considering the design, Uncle Bob has gone for a form follows function approach: “If something already looks like something that will not last, it surely will not last during tests.” 

mountain bike in forest

Why NX?

Apart from the design aspect, he really appreciates NX for the ability to test and verify his CAD design data into finite element analysis (FEA) simulation tools, which he uses in his daily professional life as well as with this bike. “I have not regretted the investment for Siemens NX, it was worth it and definitely helped me to ease up processes. Before NX, I had to copy data manually from program to program. The implementation of NX at Daimler got me starting to look out for better solutions.” 

bike model inside of nx

So, an FEA study was done to stress test the frame and structure. After all, mountain bikes like these need to withstand high physical forces due to big jumps, loose ground and high speeds. And his bike did!

For example, his calculations resulted that the frame around the bottom bracket can withstand jumps or falls with more than 6,000N. For the areas that failed his tests, the layup of the composite material was modified in Siemens NX and additional plies were added to strengthen these areas.

Getting started and getting building with NX

bike model mold

With a flaw free concept ready, he designed an injection mold in Siemens NX that he could use for producing the carbon-fiber parts. Due to the extensive 3D features in Siemens NX, he could make the mold as material efficient and small as possible.  Then he started working in his garage: A wax core was casted that represents the inner geometry of the carbon frame. Then, he wrapped the carbon fiber around it and closed the mold airtight. Using vacuum and high pressure a hardening resign was injected into the mold. After a few hours of tempering the resign was hardened and with higher temperature the wax core melted and flowed out. Now the frame was made. He didn’t clearcoat the frame because Uncle Joe was confident enough that his construction and his materials used were sufficiently durable anyway.

After that, the frame was made and he started to assemble all the custom frame parts and bought standard parts together. A few weeks later it was all done, a extreme mountain fat bike, that all-in-all only weighted 17kg, with the NX constructed custom carbon forged frame only taking 3kg part of that. After his first test ride, Bob was beyond impressed:

“Insane! Sore muscles in the face because of the permanent grin. I can only say: Dreamy. The bike fits me like a glove.”

The strength of Siemens NX

This business case shows the accessibility, exactness and prediction powers of Siemens NX. Building something from carbon-fiber was a task that only large manufacturers would consider just ten years ago. With Siemens’ NX, now even talented designers can plan and design flaw free carbon structures from scratch at home. 

How the EDAG Group goes the extra mile to improve pedestrian safety

Product: Simcenter
Industry: Safety

Nearly 20% of all road accident fatalities in the EU are pedestrians. Car manufacturers all over the world want to improve pedestrian safety. In this blog, we share the story of the world’s leading mobility engineering experts, the EDAG Group AG in Germany.

Remember those adverts where a car drives into a wall, and the crash-test dummies inside are left intact? If you watched closely, you might have noticed that different dummies are used in different tests. This is because they are highly calibrated for each test, and any changes will affect their validation. You might have also noticed that the acceleration given to the car is always in one direction. This ensures the dummy does not change position before impact. The dummies are passive objects and can not reposition themselves. A test is ruined if they move out of position before the impact.  

Using dummies comes with three problems

Firstly, you can’t test until you have built a complete physical prototype. Secondly, you will need to destroy multiple vehicles to complete all the validation tests. Thirdly, you can not quickly test pre-crash maneuvers such as lane change.

From physical to virtual dummies

A few decades ago, manufacturers had to crash over a hundred vehicles while designing a single model. Today, only a fraction of that number is required. With the use of virtual models, engineers can design new, safer models quicker and more cheaply.

Simcenter Madymo simulates both dummy and human models, including models that can reposition themselves after and during a maneuver. It integrates Multibody Dynamics, Finite Elements, and CFD technologies in one single solver that includes a database dummy and human models that can be scaled to any size or to population percentiles.

This means that not only can you get the most realistic assessment of what will happen to occupants and pedestrians in a collision, but you can also carry out testing much earlier in the development phase. Once you have your virtual vehicle model, combine it with your Simcenter Madymo model, and you’ll get accurate test results before you’ve built a single prototype.

Crash Test Innovation of the Year

In 2021 Simcenter Madymo was named the ‘Crash Test Innovation of the Year’ by ATTI magazine. It is no wonder that more companies are turning to this simulation software to aid vehicle design.

Keeping pedestrians safe

EDAG Group supplies mobility engineering expertise to the worldwide automotive industry. Its CAE and Safety department specializes in attaining the highest safety levels for vehicles and meeting legal requirements and customer ratings for particular regions or companies.

The Active Hood is a common pedestrian safety solution for minimizing head injuries when a pedestrian is struck by a car. By automatically lifting the hood when a collision is detected, a space is created between the inside surface and the rigid components underneath. This ensures that when the head hits the hood, the head is much less likely to suffer serious damage.

But to develop an effective Active Hood, engineers need to understand exactly how a human body will behave when struck by that vehicle.

This is where Simcenter Madymo comes in

The CAE and Safety department, led by Stefan Hundertmark, uses Simcenter Madymo to simulate the kinematic behavior of pedestrians’ bodies in accidents to help their customers develop the safest possible vehicles. Read the case study to discover how Simcenter Madymo allows them to significantly reduce simulation time for human body behavior from days to hours while meeting all the necessary standards and regulations in pedestrian safety performance.

You can also find out more about how Simcenter Madymo enables manufacturers to meet regulations by watching the pedestrian safety systems webinar featuring Assistant Professor Corina Klug of TU Graz and Cindy Charlot, technical lead of the Safety and Comfort Modeling team of Simcenter Madymo. Corina Klug was instrumental in creating the Euro NCAP guidelines, which reduced EU pedestrian fatalities by 36%. Cindy explains how to use Simcenter Madymo in the validation process and how to comply with all certification requirements.

Vision Zero

The ultimate aim for The EDAG Group and other companies using Simcenter Madymo is to eliminate all traffic fatalities and severe injuries.

That might sound like a pipe dream, but it forms part of a global movement known as Vision Zero.

The campaign began in Sweden in the 1990s and has since proved successful across Europe and is now gaining momentum in the United States.

First and foremost, it challenges the traditional belief that road traffic deaths are inevitable and that saving lives is expensive. Vision Zero accepts that human failure and collisions will happen, but with a systemic approach, we can prevent fatal and severe crashes that lead to deaths.

Simcenter Madymo is a key element of Vision Zero as its occupant and pedestrian safety simulations help manufacturers design vehicles that offer the most protection.

Car manufacturers such as Volvo incorporate zero accidents in their vision. The basic philosophy of the Volvo Group Safety Vision is that accidents can be prevented. At the same time, they are aware that many things are outside of their control. This is why collaboration with other players is important. And change is happening. Also, suppliers such as ZF or Continental go the extra mile to contribute to the zero fatalities future. For more information, read this article on how Continental is heading for Vision Zero.

Pedestrian safety and ADAS & autonomous vehicles

Don’t be mistaken by thinking that ADAS (Advanced Driver Assistance Systems) and fully autonomous vehicles will render accident simulation obsolete.

In fact, they make it even more important.

Even with self-driving vehicles, collisions will still happen. The artificial intelligence controlling the vehicle needs to be able to minimize injury and calculate the best course of action in a split second. It’s no use swerving to avoid one car if that takes you into the path of several cars and causes a bigger crash.

Using Simcenter Madymo, developers of these systems can train them to maximize occupant and pedestrian safety. By understanding exactly how human bodies will be affected by collisions, AI can determine which action will result in the least injury. So instead of swerving, it may simply choose to brake. While not avoiding the collision completely, the reduction in speed, combined with ensuring airbags fire at the right moment and the seat belts do their job, will be enough to prevent serious injury. Ultimately, it will lead to fewer deaths, which is the number one priority on the path toward Vision Zero.

InMotion student team breaks records with 12-minute charging

Product: Simcenter
Industry: Motor Racing

Now that is something to celebrate…

Today to celebrate the fifth UNESCO International Day of Education, we want to highlight quite an exceptional story from the InMotion student team that just happens to use Siemens software – and of course: Simcenter.

Although InMotion has made a serious technical impact with its all-electric, track-ready Le Mans race car, the Revolution, the real beauty of this story is what this team of students has accomplished with their 12-minute fast-charging technology and next-generation battery packs.

Based on the Automotive Campus in Helmond, The Netherlands, InMotion is closely associated with the Technical University of Eindhoven. The InMotion team, which is run as a foundation and rotates students annually, practices continuous innovation. Experienced former members meet weekly with the current team to guarantee knowledge transfer and help solve technical challenges.

Moving forward and making progress

Over its ten-year history (plus), InMotion has built four, successive innovative race cars, including the heritage bio-ethanol Ignition, the fastest student e-Formula 3, the Fusion, the Vision, a more aerodynamic e-concept car and the Revolution, a true pioneer with its 12-minute e-charging time – that is faster than an e-Porsche or even a Tesla.

“Ten years being a student team is quite amazing. I think this is what makes InMotion special. The people that founded it ten years ago are still on the supervisory board. People that built the first electric race car, the Fusion, are still providing us knowledge on the Revolution. That’s unique. It’s about moving forward, making progress, and keeping continuity in the team,” states Ewout Timmermans, former Team Manager, InMotion.

Digital twin work experience

Working in a digital thread with a digital twin was new to some of the engineers on the team. Old school tactics, like prototyping and on-the-fly troubleshooting, are things left in the past for the new generation of InMotion engineers.

“I think for most of the engineers, it was a true eye opener that you can work in this detail and represent advanced design and engineering performance this accurately in a virtual world,” explains Thomas Kuijpers, former Technical Manager, InMotion.

The team is quick to point out that getting everyone up to speed on all the Siemens Xcelerator tools, pretty much the same package that many F1 teams use, btw, was far from an out-of-box experience. They had help from cards PLM Solutions, a Siemens Platinum Smart Expert Partner, based nearby in Best, The Netherlands.

“The consultants from cards PLM were always really quick to respond and help point us in the right direction when we got stuck,” explains Kuijpers. “Another plus point about Siemens, especially for students, is the Siemens Xcelerator Academy. Most of us had already followed courses online with university, but once we started working as a new team, we even had more access to more specific material and tutorials. This was very useful for us.”

Innovation on the mobility side

“We really try to innovate on the mobility side. We believe that fast charging is way too slow at this point, and that might be a reason that people do not drive electrically,” explains Martijn Scholtus, former Account Manager, InMotion. “With the Revolution, we want to make the charging time as fast as possible. It is charging in 12 minutes. That’s a big leap. And it’s a Le Mans race car.”

“The most prestigious race is the 24 Hours of Le Mans. It is really a dream of the entire team to race there with this technology.” Adds Scholtus, “If it works at the 24 Hours of Le Mans, then it’s going to work everywhere.”

The importance of hands-on experience

Clearly the InMotion team has put its footprint on the power of innovative technology and, without forgetting International Day of Education, the importance of getting out of the classroom for some hands-on experience and on-the-job training in the world of engineering education (or any higher education for that matter). But more importantly, the team shares passion for engineering innovation to make the world a better place. And, at Siemens and Simcenter, all we can say is that we are happy that we could help.

A short InMotion Photo Gallery

A rotating student team going into its 11th season, InMotion aims to inspire students, organizations, and society with its unique concept to accelerate the energy transition in the automotive industry. The team’s vision is to make future charging as fast as “filling up”. To showcase its unique electric refueling technology, the team is setting a goal to race in the toughest endurance racing environments, the 24 Hours of Le Mans.

The simulated top speed of the Revolution is 300 km/h. Either way, it definitely outpaced our famous technology demonstrator, the Simcenter SimRod, on the track. (Although you have to argue that even though SimRod never set out to be a famous race car with a need for speed, it can pack a bit of punch…and keep up with the big guys.)

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