Inovação e gerenciamento de programa sincronizado e colaborativo para novos programas
Aeroespacial e Defesa
Inovação e gerenciamento de programa sincronizado e colaborativo para novos programas
Explorar o SetorAutomotivo e Transporte
Integration of mechanical, software and electronic systems technologies for vehicle systems
Explorar o SetorProdutos de Consumo e Varejo
A inovação de produtos através do gerenciamento eficaz de formulações, embalagens e processos de manufatura integrados
Explore o SetorEletrônicos e Semicondutores
O desenvolvimento de novos produtos aproveita dados para melhorar a qualidade e a lucratividade e reduz custos e tempo de introdução no mercado
Explore o SetorEnergia e Utilidades
Supply chain collaboration in design, construction, maintenance and retirement of mission-critical assets
Explorar o SetorHeavy Equipment
Construction, mining, and agricultural heavy equipment manufacturers striving for superior performance
Explore IndustryMáquinas Industriais e Equipamento Pesado
Integration of manufacturing process planning with design and engineering for today’s machine complexity
Explorar o SetorInsurance & Financial
Visibility, compliance and accountability for insurance and financial industries
Explore IndustryMarinha
Inovação na construção naval para reduzir de maneira sustentável o custo do desenvolvimento de frotas futuras
Explore o SetorMedia & 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 IndustryDispositivos Médicos e Farmacêuticos
“Inovação de produtos personalizados" através da digitalização para atender a demandas do mercado e reduzir custos
Explore o SetorSmall & 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 IndustryOptimize electric motors design and related torsional vibrations
Optimize electric motors design and related torsional vibrations
Frontload qualitative NVH risk assessment
Electric machines are key elements to guarantee optimal vehicle performance, but they also have a strong impact on the system level NVH performance. The machine torque waveform may contain harmonics that may have implications on the control, power output, noise, vibration, and durability.
Being able to address those issues requires the implementation of a comprehensive process including the optimization of design trade-offs for torque and torque ripple by the machine designer, the machine’s vehicle level integration at various fidelity levels, and collaborations with the NVH teams to assess the influence of different design topologies and control strategies.
In this webinar, our experts will explain how to use simulation to improve the electromagnetic and vibro-acoustic design of e-machines, and to increase performance, reliability and durability levels.
During this 45-minutes session, we’ll introduce possible solutions to:
Lionel Broglia
Business Development Manager, Siemens Digital Industries Software
Lionel is the Business Development Manager for System simulation activities, focusing on the electrification of ground transportation. He has a master's degree in mechanical engineering and is involved in multi-domain system simulation since 1999.
Tanvir Rahman
Product Manager, Electric Machines, Siemens Digital Industries Software
Tanvir has worked extensively on the design and development of electric motors for the last 12 years as a product manager, researcher, software developer, and application engineer. Between 2013 and 2016, Tanvir worked as a research engineer at McGill University’s Computer and Electrical Engineering Department in the Automotive Partnership Canada (APC) project. He worked with industrial partners to deliver R&D results for commercial development. Tanvir obtained his Ph. D. in computational physics from McGill University in 2006.
Stefano Orlando
Technical Expert, Siemens Digital Industries Software
Stefano Orlando has been with Siemens Digital Industries Software for 12 years, working in various roles in the Engineering and Consulting services division. He is currently a technical expert responsible for developing and deploying new technologies related to car body concept design and NVH for e-powertrains, including early stage BiW concept design and NVH characterization of e-motors, advanced CAE modeling of laminated structures, model order reduction techniques for improving simulation process efficiency, etc.
Olá Bob (será substituído com o primeiro nome real durante a visita do site real)
Queremos saber mais sobre você.
Olá Bob (será substituído com o primeiro nome real durante a visita do site real)
Você tem acesso a este webinar por 90 dias. Clique abaixo para iniciar a visualização.
Frontload qualitative NVH risk assessment
Electric machines are key elements to guarantee optimal vehicle performance, but they also have a strong impact on the system level NVH performance. The machine torque waveform may contain harmonics that may have implications on the control, power output, noise, vibration, and durability.
Being able to address those issues requires the implementation of a comprehensive process including the optimization of design trade-offs for torque and torque ripple by the machine designer, the machine’s vehicle level integration at various fidelity levels, and collaborations with the NVH teams to assess the influence of different design topologies and control strategies.
In this webinar, our experts will explain how to use simulation to improve the electromagnetic and vibro-acoustic design of e-machines, and to increase performance, reliability and durability levels.
During this 45-minutes session, we’ll introduce possible solutions to:
Lionel Broglia
Business Development Manager, Siemens Digital Industries Software
Lionel is the Business Development Manager for System simulation activities, focusing on the electrification of ground transportation. He has a master's degree in mechanical engineering and is involved in multi-domain system simulation since 1999.
Tanvir Rahman
Product Manager, Electric Machines, Siemens Digital Industries Software
Tanvir has worked extensively on the design and development of electric motors for the last 12 years as a product manager, researcher, software developer, and application engineer. Between 2013 and 2016, Tanvir worked as a research engineer at McGill University’s Computer and Electrical Engineering Department in the Automotive Partnership Canada (APC) project. He worked with industrial partners to deliver R&D results for commercial development. Tanvir obtained his Ph. D. in computational physics from McGill University in 2006.
Stefano Orlando
Technical Expert, Siemens Digital Industries Software
Stefano Orlando has been with Siemens Digital Industries Software for 12 years, working in various roles in the Engineering and Consulting services division. He is currently a technical expert responsible for developing and deploying new technologies related to car body concept design and NVH for e-powertrains, including early stage BiW concept design and NVH characterization of e-motors, advanced CAE modeling of laminated structures, model order reduction techniques for improving simulation process efficiency, etc.