새로운 프로그램을 위한 혁신적이며, 협업이 가능한 동기화된 프로그램 관리
자동차 및 운송
Integration of mechanical, software and electronic systems technologies for vehicle systems
산업 자세히 보기에너지 및 공공 시설
Supply chain collaboration in design, construction, maintenance and retirement of mission-critical assets
산업 자세히 보기산업용 기계 및 중장비
Integration of manufacturing process planning with design and engineering for today’s machine complexity
산업 자세히 보기Insurance & Financial
Visibility, compliance and accountability for insurance and financial industries
Explore IndustryMedia & Telecommunications
Siemens PLM Software, a leader in media and telecommunications software, delivers digital solutions for cutting-edge technology supporting complex products in a rapidly changing market.
Explore IndustrySmall & Medium Business
Remove barriers and grow while maintaining your bottom line. We’re democratizing the most robust digital twins for your small and medium businesses.
Explore IndustryOptimizing off-road equipment with system simulation
Optimizing off-road equipment with system simulation
General introduction
Market demands, and regulation organizations are calling for improved performance, in terms of pollutant emissions, machine work output, and ownership cost. Additional drivers include operators working conditions and comfort.
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Reach 50% efficiency of your off-road engines while complying with emission regulations
Guest speaker: Bakir Puran from Liebherr Machines Bulle
Even if we are currently hearing a lot about electrification, off-road vehicles remain mainly powered by internal combustion engine (almost nearly 100% for construction equipment). Nevertheless, heavy equipment OEMs still need to comply with the total cost of ownership reduction objectives and emission regulations. By 2020, they may reach the 50% engine efficiency target – positioned between 30-40% today. This requires investigating several means for OEMs and engine suppliers.
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Verify and validate controls system design to reach the testing phase with an advanced and qualitative prototype
More and more heavy equipment systems are being controlled to be more efficient and meet environmental regulations. Software code size deployed to implement control logics has increased dramatically over the past decade. This implies an increasing number of parameter combinations. Management of conflicting calibration requirements and attributes through physical validation and testing is not sustainable anymore in terms of development cost and time. A new approach is essential, and model-based design including virtual verification and validation becomes a critical success factor.
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Virtually perform hybrid architecture design exploration and optimization
Pushed by stringent regulations (CO2 and low emission zones) and market competition (total cost of ownership), heavy equipment industrial players start to see a shift to electrified machines. To support this revolution, OEMs and suppliers have to predict the performance of their electrified systems as early as possible. System simulation can support you over several innovation areas to optimize fuel economy, productivity, and autonomy.
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Moving forward hydraulic systems technology
Hydraulic systems must satisfy increasing demands for high performance and efficiency of products without affecting durability nor reliability. More and more control systems are introduced, adding another level of complexity that impacts the development time and costs. System simulation becomes then key for researchers and engineers who need to face the challenges of designing energy efficient and controllable fluid power systems, particularly when exploring new concepts.
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Transitioning to model-based engineering across your organization
Engineering methods and processes are shifting to a new paradigm. Engineering departments cannot rely only on handcraft-based process and employees’ goodwill to improve and maintain product development quality. The reason is clear: the number of requirements and demand for customization from the market are huge and bring engineering departments to work on a large number of simulation models that can’t be managed without a streamlined process. Consequently, new organizations with clearly defined processes and roles are being established to provide a “simulation factory.”
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