Leveraging digital transformation to shorten the time from designing to manufacturing production lines

Product: Tecnomatix
Industria: Automotive & transportation, Electronics

Undertaking a digital transformation

Hirata Corporation (Hirata), headquartered in Kumamoto, Japan, is a global leader in constructing production lines. It has locations throughout Japan as well as plants in North America, Europe and across Asia, providing production equipment to automotive and semiconductor manufacturers worldwide.

Hirata provides transmission assembly lines, engine assembly lines, electrical vehicle (EV) and other automotive production equipment to numerous manufacturers.

When the 2016 Kumamoto earthquakes damaged the company’s plants, Hirata decided to contribute to the reconstruction effort by relocating its headquarters to Kumamoto City.

As sales increased, the company’s newly built plant was expanded to provide space for adjusting equipment test runs and enabling customers to conduct inspections inside the plant. Hirata has integrated design, manufacturing, assembly, electrical work and adjustment test runs. As the company constructed and subsequently expanded its plant, it also started a large-scale digital transformation.

After evaluating several simulation solutions, Hirata chose Siemens Digital Industries Software’s Process Simulate in the Tecnomatix® portfolio. It also decided to work with Siemens as its strategic partner to promote digital transformation, and as part of that initiative introduced the Siemens Xcelerator business platform of software, hardware and services to the company.

Strategically promoting digital transformation

By embracing digital transformation, Hirata has been able to shorten the time it takes to go from product design to manufacturing. Hirata has front-loaded its investment in resources early in the product development process, bringing forward work that was previously done in later stages.

As Hirata’s customers began to face shorter production times, they focused on how to compress the time between new products, handle low-volume, high-mix production and shrink the period required to modify production lines during operation.

Hirata knew the digital transformation would help them, but it was challenging to explain to senior management and on-site personnel what would change and what the simulations with Process Simulate would reveal. Describing the benefits of simulations was particularly difficult at first. Some personnel had the impression that simulations would require twice as much effort. However, as the implementation went ahead, workers were able to see the positive effects and started saying it made sense.

Simulation supports high-quality manufacturing

“Prior to introducing digital simulations, we were able to check for equipment interferences and conduct on-site verifications, but now we were able to teach robots offline,” says Shoichiro Seki, general manager of the engineering departments at Hirata. “Once that data has been downloaded, the robots can immediately be operated on-site, which is a huge advantage.

“Previously, we had to turn on the power, start up the robots and then perform the teaching work to check for interferences, cable twists and other issues. Now all of that can be performed offline, which is incredibly helpful for manufacturing.”

Leveraging Process Simulate

Hirata’s major customers have added 3D model validation to their equipment development process and most of them were using Process Simulate, which is part of Siemens Xcelerator. This also motivated Hirata to select Process Simulate.

“Previously we required three engineers to complete the verification process in three to 10 days, but one engineer using Process Simulate for cable simulation can complete the verification process in approximately two hours,” says Seki. “That reduced man-hours compared to conventional methods by 90 percent and manpower requirements by 66 percent.”

“After a year of simulation experience with Process Simulate, I was able to gain a deeper overall understanding of the work I had been doing for the past five years in my own area of expertise, human machine interface,” says Mami Hayata, chief of the control design group in the engineering department. “This enabled me to receive information from many different fields, including mechanical, control, instrumentation and robotics. The introduction of simulation has allowed me to learn so much more about the world of equipment.”

“I used to only talk to people in control,” says Kosuke Nishi, who is a mechanical design engineer. “But now I have connections with various people in mechanical, control, instrumentation and robotics. Initially, when simulations were introduced, my requests to mechanical designers to provide information for simulation were met with resistance, but now that awareness and demand have increased considerably, I feel that we are able to exchange useful information.”

“Previously, we determined the optimal cable routes and fixing methods by trial and error,” says Ryosei Sekiguchi, manager of the control design group in the engineering department. “With Process Simulate we can use simulations to verify multiple patterns of routes and fixing methods simultaneously, which significantly reduces the time spent on that.”

“Prior to introduction, we used 2D drawings to confirm ergonomic areas and workability based on planar dimensions, which frequently led to insufficient verification of worker postures and product shapes,” says Seki.

“This often resulted in us discovering necessary adjustments only after the completed equipment started being used. However, with the introduction of human machine interface, we can now perform work verifications for various postures in 3D. The results are clear and easy to understand, allowing smooth consensus building with customers.

“We compared simulation software from various manufacturers, but ultimately chose to adopt Process Simulate due to its global market share and especially its widespread use among automotive manufacturers.

“As a result of this evaluation, we chose Siemens as our strategic partner to promote digital transformation. We also introduced Siemens Xcelerator as part of that effort.”

Future of Process Simulate

Hirata is implementing Process Simulate add-on features every year, including modules for robotics, virtual commissioning, safety and cable. They have also introduced Plant Simulation in the Tecnomatix portfolio in various departments.

Zanini Renk Embraces Industry 4.0 with Siemens Solutions

Product: Opcenter
Industry: Manufacture

Introduction

Zanini Renk, a renowned player in the manufacturing industry, has embarked on a transformative journey towards Industry 4.0 with the help of Siemens solutions. By leveraging their integrated software, Opcenter Execution Discrete and Opcenter Advanced Planning and Scheduling (APS), Zanini Renkhas revolutionized their operations and achieved remarkable improvements in efficiency, visibility, and customer satisfaction.

Enhancing Efficiency and Visibility

Prior to implementing Siemens solutions, Zanini Renk faced significant challenges in their factory operations. A lack of visibility and accuracy in scheduling resulted in daily firefighting and missed deadlines. However, with Opcenter Execution Discrete, the company gained a real-time view of their shop floor, allowing them to track and document the transformation of raw materials into finished goods with precision and transparency. Opcenter APS further facilitated detailed production scheduling, enabling Zanini Renk to optimize their manufacturing process and allocate resources effectively.

Transforming Operations with Industry 4.0

The implementation of Siemens solutions enabled them to determine their Overall Equipment Effectiveness (OEE). Within two years, their OEE increased from 45% to an impressive 71%, showcasing significant improvements in productivity and efficiency. The production data collection software, Opcenter Execution, provided Zanini Renk with precise measurement of data for each part, ensuring quality control and informed decision-making.

Gaining Holistic Visibility and Cultural Shift

With the aid of Opcenter APS, Zanini Renk experienced a cultural shift within their organization. Their team embraced the new system, reaping the benefits of increased visibility, credibility, and accuracy in delivery timelines. The software offered a holistic view of operations, enabling the company to overcome local limitations and make data-driven decisions on a global scale.

Next Steps Forward

Integrating Engineering with Manufacturing: Zanini Renk recognizes that true integration between engineering and the factory is the next clear step in their Industry 4.0 journey. To achieve this, they plan to introduce engineering software, such as Product Lifecycle Management (PLM), that seamlessly integrates with their production software. By creating a greater integration between engineering and the factory, Zanini Renk aims to enhance collaboration, optimize processes, and further improve efficiency. They believe that this integration will unlock new possibilities and drive their competitiveness to new heights.

Leveraging Data Analytics: In the era of Industry 4.0, data analytics plays a crucial role in driving improvement and increasing competitiveness. Zanini Renk recognizes the importance of leveraging the vast amount of data they generate and utilizing it effectively to fuel continuous improvement. By harnessing the power of data analytics, they aim to gain valuable insights that will enable them to make data-driven decisions, optimize their processes, and identify opportunities for further enhancement. Zanini Renk firmly believes that by embracing data analytics, they will propel their organization forward and continue to thrive in the dynamic landscape of Industry,

Virtual commissioning with Siemens solutions reduces launch time by three weeks

Product: Tecnomatix
Industry: Intralogistics

Experts in intralogistics and warehousing operations

Intelligent Distributed Controls (IDC) was founded in 2003 to support customers with intralogistics and warehousing operations in the U.K. and Europe. The engineering, management and IT team at IDC have a broad range of skills including HV Control Panel Design, PLC Software Development, with C# .NET and Android supporting the WCS and WMS development. The team is also supported by project managers with an in-depth knowledge of intralogistics and warehousing and advises customers on automation and warehouse control and management systems (WMS).

One of IDC’s customers, a retail distribution center serving major mail order and e-commerce businesses, had begun planning in spring for the upcoming Christmas seasonal peak. One of the key machines in the distribution center is a high-speed tilt-tray sortation machine that processes more than 6,000 items per hour. The customer wanted to update the machine’s systems due to unsupportable SCADA and controls systems, and asked IDC to complete the upgrade in a narrow two-month window during May and June.

Besides its short time frame, the project posed additional challenges for IDC. IDC wanted to explore how much work could be completed remotely, to reduce the time required for final commissioning checks at the customer site.

Experts in intralogistics and warehousing operations

Partnership with Simsol

IDC decided to use a combination of virtual and on-site commissioning techniques to reduce lead time on the project, and for this purpose partnered with Simsol, a Siemens Digital Industries Software solution partner.

Simsol is focused on Siemens’ Tecnomatix® portfolio of digital manufacturing solutions, and has gained recognition as a Expert partner, providing specialized expertise in digital manufacturing technologies and production simulation. Simsol trained IDC on the Tecnomatix software and offered best-practice advice on how to use and construct its models throughout the project.

Partnership with Simsol

Leveraging the digital twin

IDC used Plant Simulation in the Tecnomatix portfolio to build a comprehensive digital twin of the retail distribution center – a complete and accurate 3D model of the logistics systems and their processes, including control logic. The digital twin gives a strategic overview of the entire operation, rather than just a single cell or line. This gives more opportunity to focus on key areas identified for investigation and to continually improve across the whole production. IDC used the digital twin to explore and optimize the distribution center for performance, and to accurately simulate the tilt-tray sortation machine and more importantly the induction logic, which is critical to optimizing the throughput.

To make the most of the time available, the IDC team focused on the more complex areas of the machinery, investigating the dynamics and relationships among components and simulating mechanical changes to moving parts.

With the digital twin, the team was able to consider oversized (or “ugly”) items. Instead of building from the general throughput rate for standard items, the team generated virtual stock data in a range of item sizes that closely represented the packages to be processed by the distribution center. The dynamic data yielded a more realistic view of machinery performance. Performing this work remotely was crucial to meeting the customer’s deadlines.

“Without access to the actual sortation machinery, we had to use standard warehouse control system design models to construct code for testing,” says Richard Towne, Managing Director at IDC. “With the simulation model that IDC created, we could simulate almost all aspects and know that the code was validated against the system design, so we didn’t need major changes when we got on site.”

Leveraging the digital twin

Tangible results

IDC realized tangible results from the use of digital twin plant simulation. The company was able to upgrade the controls and commission the tilt-tray sortation machine in just five weeks, well within the time frame proposed by the customer. With remote commissioning, IDC also minimized costly on-site time, reducing overall commissioning time by three weeks as compared to a similar upgrade project that required eight weeks using on-site commissioning only. The controls upgrades also increased the throughput of the sortation machine.

Tecnomatix solutions help improve steel foundry plant planning

Product: Tecnomatix
Industry: Industrial machinery

Leading the world in roll production

Sinosteel Xingtai Machinery and Mill Roll Co., Ltd. (Sinosteel Xingtai) is the world’s largest producer of mill rolls with an annual output of 180,000 tons and a global market share of more than 20 percent. Pursuing the China 2025 national industrial manufacturing strategy, the company began upgrading its plants in 2018. The company moved to the Xingtai economic development zone to build new plants, investing nearly 10 billion RMB. Xingtai Machinery and Mill Roll aims to become the world’s first intelligent digital roll production enterprise.

Sinosteel Xingtai Machinery and Mill Roll verified and optimized a new plant using Siemens digital manufacturing solutions.

Implementing Tecnomatix digital manufacturing

In the earliest phase of new plant planning, the company adopted the Tecnomatix® portfolio of digital manufacturing solutions, part of the Siemens Xcelerator business platform of software, hardware and services. With the assistance of IPS, a Siemens Smart Partner consultancy, Xingtai Machinery and Mill Roll collected production and logistics data and imported a new plant blueprint into the Tecnomatix Plant Simulation 2D/3D simulation environment.

Tecnomatix Plant Simulation includes tools for simulating, exploring, and optimizing logistics systems and their processes. The plant models enable analysis of material flow, resource utilization, and logistics for all levels of manufacturing planning, well in advance of production execution. Using these tools, Xingtai Machinery and Mill Roll conducted the plant simulations, verified the layout and logistics, and optimized the total manufacturing plan.

Sinosteel Xingtai Machinery and Mill Roll verified and optimized a new plant using Siemens digital manufacturing solutions.

An effective way to discover plan deficiencies after the static design phase

By simulating the production and logistics processes, the Xingtai Machinery and Mill Roll team effectively discovered several problems that are otherwise difficult to detect at the static design phase. For example, the simulation results revealed that the inventory of pig iron and steel scrap was negative when studying the cross-region material distribution. By checking the input data table, the team found that the daily demand for pig iron and steel scrap was greater than the planned capacity of the storage tanks.

In another example, the team used Plant Simulation to discover that a flat car did not return to the waiting position for the next batch of material according to the batching schedule. The flat car was still in the melting span, and the material on the flat car had not been consumed, so the next batch of material could not be distributed on time. The error in the logistics design was easily understood when the team compared the simulation data with the input data table. The problem was finally solved by adding a spare material plate. Simulation has helped to accurately identify and correct other problems, such as the interference of a moving crane with other cranes and equipment. The ability and efficiency of Plant Simulation to help discover problems introduced at the static planning phase is highly valued by the company.Sinosteel Xingtai Machinery and Mill Roll verified and optimized a new plant using Siemens digital manufacturing solutions.

A powerful platform for plan optimization

Using Plant Simulation, Xingtai Machinery and Mill Roll optimized the plant plan. For example, one of the optimization considerations for a steel sand box area was whether to add a flat car track. Plant Simulation helped the team to easily verify the option by running the simulation and comparing the results. The simulation determined that adding a flat car track would reduce the moving distance of the overhead traveling crane by 1,600 meters and reduce working time by 27 minutes per day. Similarly, in a cast crossing and other areas, the team proposed a series of optimization solutions that were quickly verified by the simulation. These optimizations helped eliminate logistics collisions and increase the efficiency and utilization rates of high-value equipment. By the end of the first phase of the plant simulation project, the team had found six important design deficiencies and proposed two important optimization solutions for layout and logistics.

“With the help of Tecnomatix solutions and IPS consultants, we have improved the plan of the new plant in a relatively short time at a limited cost,” says Wang Jingjun, director of information management at Sinosteel Xingtai Machinery and Mill Roll. “The project not only helped avoid several important design deficiencies, but also helped save 100 million RMB in equipment investment by optimizing the layout and logistics.”

Sinosteel Xingtai Machinery and Mill Roll verified and optimized a new plant using Siemens digital manufacturing solutions.

Leading automation machinery manufacturer improves safety with Process Simulate Safety Robots Manager

Product: Tecnomatix
Industry: Automation

Hear from Ondřej Pažout, Benthor head of robotics and simulation, about how the leading automation machinery innovator uses Siemens Process Simulate software to help elevate robotic safety and efficiency. Benthor is a leading innovator in the manufacturing industry, specializing in the design and integration of advanced robotic systems.

process-simulate-robot-safety-manager-2
Benthor engineers can monitor the status of robots in a simulated environment where there is no risk of injury or hardware damage.

Automation solutions for machines and production facilities

Benthor Automation, based in Mladá Boleslav, Czech Republic, develops automation and information technology (IT) systems for industrial manufacturing. The company’s customers are primarily in the automotive industry and include domestic and foreign car makers. Benthor’s core competencies include automation solutions for machines and production facilities with superior control technology and material flow management, and it offers services throughout the process chain, including consulting, technical solutions, hardware planning, software development, system deployment and after-sales service.

At Benthor, we prioritize the safety of robotic systems, and thanks to our collaboration with safety experts, we are able to design cutting-edge manufacturing equipment with integrated safety elements from the very first concepts of the workstations. This way, we provide our customers with transparency — visualizing the future workstation while eliminating additional costs caused by misinterpretation or misunderstanding of functionality.”Ondřej Pažout, Head of robotics and simulation for Benthor automation s.r.o.

In the industrial automation space and as robotic systems become more prevalent in densely populated automated lines, functional safety remains crucial to prevent human injury and equipment damage. When planning a new robot station or lines, whether implementing changes for new products or layout adjustments, prioritizing robot safety is paramount. The intricacies of addressing robot safety in production systems started only as a discussion between Benthor and Siemens team, and now it has evolved into a strategic business priority for Benthor. That is when the leading automation machinery manufacturer realized the value of using Process Simulate Safety Robots Manager to address the safety of robotic workstations.

Meet the robot safety experts part of this collaboration:

eddy-finaro-siemens
Eddy Finaro
Product Manager Siemens Digital Industries Software
Alex Greenberg
Director of Advanced Robotics Simulation
Siemens Digital Industries Software

Hear from Ondřej Pažout, Head of robotics and simulation for Benthor

process-simulate-robot-safety-manager-1
Ondřej Pažout, Benthor

Priority at Benthor

At Benthor, we fully recognize the crucial importance of safety in the integration of robotic systems. We design robotic workstations with the goal of minimizing risks for both  operators and the equipment itself. Our integrations include not only physical barriers, but also sophisticated software tools for simulation and safety management. We address safety right from the start of the project by using simulations that consider all possible scenarios and potential safety incidents arising from risk analysis.

This approach allows us to eliminate potential risks even before the construction of the workstation begins. This helps us avoid costly adjustments to equipment or software during or after deployment. Thanks to our collaboration with the Siemens team responsible for Tecnomatix Process Simulate Safety Robots Manager, Benthor is able to implement advanced simulation technologies and methodologies that ensure detailed analysis and optimization of robotic workstations.

Solution: Process Simulate Safety Robots Manager

One of the key tools we use at Benthor is Process Simulate Safety Robots Manager (SRM). This application enables detailed management of robot safety functions and helps us simulate safety scenarios before physical implementation. With SRM, we can set up safety zones, define allowed movements, and monitor the status of robots in a simulated environment where there is no risk of injury or hardware damage. This allows us to quickly respond to any safety deviations and take appropriate measures during the design or virtual commissioning phase. This approach not only increases safety but also the efficiency, reliability, and profitability of automated systems. 

Robot safety use cases

By utilizing solutions from the Tecnomatix Process Simulate portfolio, we have integrated more than 2,000 robots at Benthor, with nearly half of the installations using Safety Robots Manager to simulate safe robot behavior at the software level. Recently, we successfully implemented a robotic system project for the production of interior textile linings in the automotive industry. The core focus was the safety of operators when handling materials and preventing collisions with pressing tools. This resulted in more than 40 safety zones were successfully deployed and simulated across three robots. Thanks to simulation with SRM, Benthor was able to optimize robot movements and the production cycle without compromising safety standards.Ondřej Pažout, Head of robotics and simulation for Benthor automation s.r.o.


A robust partnership and the future of robot safety

The collaboration between Benthor and Siemens has proven invaluable in advancing the safety and effectiveness of our robotic workstations. By leveraging advanced simulation tools like Process Simulate Safety Robots Manager, Benthor continues to innovate and ensure that its systems meet the highest safety standards. Looking ahead, Siemens and Benthor are excited about future projects and the ongoing improvement of advancing safety protocols, which will further strengthen Benthor’s commitment to providing next-level solutions for its customers.

Reducing design error probability by 25 percent

Product: Capital
Industry: Agriculture

Improving farmers’ work and quality of life

Carraro Group was founded in 1932 with the goal of improving farmers’ work and quality of life. It designs and manufactures solutions for agricultural machines from tractors to combine harvesters. Since establishing its axles and transmissions division, Carraro Group has become a key partner for the world’s leading manufacturers of agricultural machinery. This global organization has nine manufacturing plants and over 3,000 employees.

Additionally, Carraro Group is creating a new paradigm in the agricultural equipment sector with the introduction of its hybrid tractor models and a line of zero impact eTransmission products, designed for hybrid and fully electric vehicles. The company’s lean team of 11 harness and electrical engineers creates roughly 50 wire harnesses per year.

“Today, our focus is reducing emissions and maximizing machine efficiency for earth moving machines and orchard and vineyard equipment,” says Paolo Righetti, electrical competence center director at Carraro Agritalia, Carraro Group’s tractor division. “Technology, innovation and people are our pillars – the starting points to position ourselves as the world’s leading manufacturer of gears and transmission systems.”

Improving farmers’ work and quality of life

Keeping up with accelerated production

In 2014, Carraro Agritalia’s rapid growth prompted its busy research and development (R&D) team to look for new tools for streamlining electrical wiring and harness design.

“Wiring and harness design is critical for Carraro Agritalia, because it is the heart of the vehicles we manufacture,” states Righetti. However, the changing design requirements for creating powertrains for heavy equipment challenges primitive simulation and analysis tools. To accommodate the growing number of complex software-driven product features, functions and operating systems, sophisticated software validation and revision management are required.

“Our existing electrical design environment was sufficient when we were just getting started,” Righetti explains. “However, as we expanded our team and began taking on more projects, quickly and efficiently tracking errors and troubleshooting mistakes became critical and the tool we had in place made this slow and cumbersome.” The existing tool did not provide the ability to perform design rule checks (DRCs), which was an important next step as the company ramped up project volume.

Carraro Agritalia’s R&D team needed a solution that could integrate harness design with wiring, so data could be easily transferred and reused throughout development. They also needed to minimize errors and reduce the time required for parts assignment by eliminating tedious manual tasks. The ability to automatically generate custom reports was also essential.

“Reducing errors during design is of paramount importance,” states Righetti. “Manufacturing errors can significantly delay production and require time-consuming manual changes before manufacturing can continue.” Design mistakes that persist into the finished product can result in mandatory recalls, impacting brand credibility among customers and prospects. “To prevent post-production faults, we needed a single-source data management system and a way to test and validate the designs early in the process when they are easier to correct,” Righetti explains.

Keeping up with accelerated production

Enabling the right design, the first time

After the discovery and pre-sales activity with Siemens Digital Industries Software solution partner, Har-Tech, Carraro Agritalia’s R&D team selected Capital™ Essentials software. They used the software to handle the demands of designing electrical schematics and harnesses for its growing catalog of tractors and agricultural machinery, including its line of hybrid tractors and eTransmission products. Although Carraro Agritalia evaluated other solutions, Capital Essentials stood out due to its ease of use and value for the price. Capital Essentials is part of the Siemens Xcelerator business platform of software, hardware and services. 

Capital Essentials helps wire and harness designers achieve dramatic return-on-investment (ROI) with powerful, intuitive functionality. The software is also optimized for rapid deployment and easy installation. Design and harness tools can be used individually or deployed together, which enables wiring design data to flow seamlessly to the associated harness designs, reduces effort and minimizes the risk of errors.

“Capital Essentials is a next-generation tool that provides us with an easy and streamlined way to track, share and analyze engineering data and information throughout the design cycle,” Righetti says.

Using Capital Essentials enables the engineering team to rapidly achieve error-free electrical and harness designs the first time and take advantage of numerous validation features in the future. They can automatically create production-ready drawings, bill-of-materials (BOMs) and all the files and reports needed for costing and manufacturing activity. Capital Essentials integrates with 3D computer-aided design (CAD) systems so engineers can model the design then engineer the electrical details in Capital Essentials. “One of the big selling points for Capital Essentials is its strong integration capabilities and the potential to pull data from a variety of CAD, MCAD and PLM solutions,” Righetti says.

Capital Essentials is intuitive and easy-to-use and comes with video tutorials, online training, extensive documentation and support from an active user community. Additionally, Capital Essentials offers full data compatibility with Siemens’ Capital™ software electrical engineering (E/E) systems development solution, making it seamless for Carraro Agritalia to partner with original equipment manufacturers (OEMs) who use Capital solutions.

“By using Capital Essentials and this new approach, we can eliminate errors, accelerate time-to-market with new products and be confident that customers will not waste time or productivity fixing machinery,” states Righetti.

Enabling the right design, the first time

Integrating code library to enable early verification and eliminate errors

As part of the deployment, Righetti worked with Har-Tech to create a library of electrical component models that correspond to the electrical symbols and Carraro Agritalia code and integrated this library into the Capital Essentials tool.

Additionally, Har-Tech created checklists and automatic test sessions to validate schematics prior to creating the prototype, which enabled Carraro Agritalia’s R&D team to perform the first phase of validation and checks before placing the first harness order.

By simplifying the process of designing and verifying complex modern wire and harness designs, Capital Essentials is helping Carraro Agritalia establish a presence in the electric tractor market. According to the Global Autonomous Electric Tractor Market 2021 research report, this is projected to grow at a compound annual growth rate (CAGR) of 32.7 percent from 2021 to 2027 and reach about $4,233.50 million by 2027.

Gaining a competitive edge with fewer errors and faster test times

Since implementing Capital Essentials, Carraro Agritalia’s R&D team has expanded its use of Capital Essentials from two licenses to seven, substantially reducing costs and increasing productivity. They have reduced the probability of design errors by 25 percent, increased functional team to clearly understand connectivity and circuit behavior and correct any issues early in the design cycle. Har-Tech will be an integral part of that process, planning to introduce simulation into the design process for continuity, as well as voltage drop and current directions and calculations. In this way, Carraro Agritalia’s engineers can work faster and more accurately than they can with traditional systems.

“Our goal is to improve the lives of workers operating agricultural and construction machinery,” says Righetti. “With Capital Essentials in our toolbox, we can deliver top-quality machinery to market faster, reduce operational overhead and risk and deliver our promise to reduce emissions while maximizing machine efficiency.”

Gaining a competitive edge with fewer errors and faster test times

[Hyster Yale] How to convert a conventional lift truck into an electric truck?

Product: Simcenter
Industry: Heavy machinery

The estimated volume of international freight movement for 2020 was around 4 million tons per day. Or an average of 1.3 million containers handled daily. To optimize their logistics at major ports and terminals, FREIT uses high-performance and reliable container handling equipment. Hyster-Yale is one of the biggest suppliers of handling equipment. It offers its customers a broad line of products and power options.

As a responsible global operation, the company has begun to address climate and environmental concerns. In doing so, has focused on the emissions of their handling equipment. To maintain its position as the market leader in heavy forklift machinery, Hyster-Yale has to consider the conversion of its machines from fuel-powered to fully electric versions. Converting a 120 tons gross weight machine (80 for the machine and 40 tons for the lifted load) into an electric vehicle is not a straightforward process. Indeed it should offer similar or better operational performance as a conventional machine over duty cycles.

Rob Damen is a project engineer at Hyster Yale, based in the Netherlands. He is part of the Innovation & projects team at Hyster Yale Big Truck development center. He has a focus on testing and simulation of the equipment. During the last Siemens Realize Live event, Rob explained how, with his team, they succeeded in converting a Laden Container Handler into an electrified machine. That vehicle is now in a testing phase. The team used simulation to virtually explore all the possibilities. They came up with one design to fit all the market expectations and regulations without compromising development time or cost.

Know your kilowatt

Before exploring what the power options for electrification were, the engineering team virtually modeled the current truck. Using Simcenter Amesim, the Simcenter system simulation solution, the team captured the machine behavior into a virtual environment. They analyzed the energy flows through different areas of the machine. To proceed, they divided the machine model into different systems and sub-systems. They also identified all the parameters of the machine components that they could virtually capture in the model.

From that model of the truck, Rob’s group was able to identify where they could simplify and make some assumptions but still keep a model that would deliver accurate results. “We were able to develop our model thanks to pre-defined components on Simcenter Amesim”, said Rob.

To make the model even more representative of a real-life system, the team instrumented one truck at their premises. There they captured data over predefined cycle steps. That analysis allowed them to compare the test-data results (vehicle speed, lift height, engine speed/power/torque, fuel consumption, etc.) with the Simcenter Amesim model results to refine and validate the model.

Modeling Hyster Yale's conventional truck systems using system simulation before electrification
Modeling the conventional truck systems using system simulation

Collecting real-life data to refine model complexity

However, in real life, machines are subject to so many different duty constraints and usage. Consequently, the team went to various customers to capture multiple types of data (GPS, lift, hydraulic pressures, etc.). They measured the performance of their machines with sensors over long durations. Those measurement campaigns enabled the team to define various duty cycles, depending on the nature of the application, with different patterns of energy distribution.

Capturing real life data on different duty constraints and usage to optimize the energy recovery system
Capturing real life data on different duty constraints and usage to optimize the energy recovery system

One major finding identified during this benchmark test was the need to improve energy recovery. Over the measurement campaigns, Rob’s team identified an opportunity to recover up to 15 percent potential energy especially during load lowering and braking phases. This energy can be recovered using electric storage.

Virtually explore and validate the Hyster Yale’s electric machine concept

“Once we got our benchmark model and our truck duty cycle, we were finally set to come up with an electric powertrain concept that fits the truck needs”, explains Rob. The group made the selection based on ranking categories and drivetrain concepts to determine the best-ranked concept.

The team chose a hybrid approach combining fuel cell and battery. In this case, the battery can store and benefit from energy recovery from load lowering and breaking. Such a system enables the recharge of the battery and improves systems’ lifetime.

At that stage, Rob converted the conventional benchmark model into the electrified version. From that defined concept, the group was able to precisely virtually assess where energy recovery could happen during braking and load lowering. This next step in virtual benchmarking using Simcenter Amesim helped to define 3 main things. The battery state of charge, how to size the battery, as well as hydrogen consumption.

The model analysis for the opted strategy opened the discussion to a new set of questions about thermal management of the battery, related to a dissipated heat and battery cooling strategy definition. Rob explains that “the list of topics that we can cover with simulation is so wide. This is definitely a good thing for us. Indeed, it can help on reducing a large number of physical testing. That is a win in terms of development cost and time for our company”.

Develop an energy recovery system on load lowering

A highlight of the project is the development of the energy recovery system on load lowering, which Rob and the team collaborated on closely with Hyster-Yale’s supplier. “In that collaboration, the use of Simcenter Amesim made it easier to answer questions that require specific data with our suppliers”. The system uses one electric motor on load-lifting but split the flow over two motors during lowering as it is almost twice as fast and with that, the power is also twice high.

“From our initial simulation model, we continued further detailed work of the truck systems”. The team worked on 3D simulations based on an advanced electric model design. Then they performed tests on a machine to compare simulation and real-life results of the electrified version of the vehicle. “The test bench results and the Simcenter Amesim models results matched really well” concludes Rob.

Comparing simulation and real-life results of the truck electrified version
Comparing simulation and real-life results of the truck electrified version

Next step: going faster and deeper into details for future electrification project

“With that laden container handler experience, we are now ready to initiate a new project on one of our other big machines”. For that new project, Rob and his team will use a similar approach. With their learning of the previous project, they are able to go faster and deeper into details through the overall process. “We clearly benefit from Simcenter Amesim into our innovation project. It gave us the ability to simulate, analyze and adjust the truck systems in a very short time frame”.

Modal Survey Testing for an unscathed journey to space

Product: Simcenter
Industry: Space

All structures have natural frequencies, and it is often the most important feature of the structure, especially when it comes to dynamic response. Very often the vibrations must be investigated to quantify the structural response in some way, so that its implication on factors such as performance and fatigue can be evaluated.

Modal testing is a very useful and widely used technique to verify and investigate this behavior. It looks at the natural frequencies, mode shapes and damping of a structure and helps engineers understand how a design will respond to different dynamic loads.

In the space industry, this technique is also referred to as modal survey testing and is intended to calibrate and increase the accuracy of finite element (FE) structural dynamics model of spacecraft and space launchers. The validated models are important, among other things, for the prediction of the launcher vibrational characteristics, the aeroelastic stability and the dynamic environments to which payloads and on-board equipment are submitted to during the launch.

Courtesy NASA: Modal survey testing on Ares launch vehicle (left), Space Shuttle Challenger (middle) and SLS core stage (right)

A modal survey test consists of injecting forces, using electrodynamic shakers or in some cases also a modal impact hammer at a number of carefully chosen inputs. In the case of shaker excitation, burst random excitation is usually used because it is fast and efficient. When higher excitation levels are required, or for the assessment of nonlinear characteristics, stepped sine techniques are used. The forces are measured during the test, along with the response accelerations at many locations throughout the structure. During this test, the spacecraft is mounted in well-known boundary conditions, clamped or free-free, or a combination thereof. During the excitation, FRFs are measured.

After the test, modal curve-fitting technology is applied to extract modal information: resonance frequencies, damping values and mode shapes. The test results are used for the purpose of validating the entire FE model and correlating frequencies, mode shapes and damping assumptions. The significant mode shapes and frequencies are those that are primary contributors to launcher/spacecraft interface loads and internal loads.

This process is illustrated schematically below. It shows how early FE models of the spacecraft can be used in Simcenter 3D Structural Dynamics to perform pre-test analysis and optimally design the test campaign. Simcenter Testlab and Simcenter SCADAS are then used to efficiently and reliably measure FRFs and accurately determine the best experimental modal model. Finally, the experimental results are further exploited to correlate the preliminary model with experimental results and to update the FE model to better reflect reality.

Different stages of the modal survey process: from test preparation, to the test execution, analysis and reporting.

A good example of a program where a modal survey test was conducted is the Bartolomeo project from Airbus Defense & Space, carried out by Deutsches Zentrum für Luft- und Raumfahrt (DLR). Simcenter SCADAS Mobile hardware has been used as the critical measurement equipment for the modal survey test that was meant to update the FE simulation model of the Bartolomeo platform. This enabled the team to simulate and predict aspects that could only be done using simulation and analysis, such as how the platform would couple with the launcher.

×