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Synergizing Simulation: Ansys Motor-CAD and optiSLang for Peak Performance | eBook

Electric motors are critical in a growing number of sectors, demanding intricate design considerations that encompass electromechanical dynamics, thermal management, and noise factors. In particular, the evolution of traction motors in electric and hybrid-electric vehicles adds to this complexity, requiring a more a holistic approach. Synergizing Simulation: Ansys Motor-CAD and optiSLang for Peak Performance explores the optimization of electric motor design and provides engineers invaluable guidance through the process.

Ansys Motor-CAD™ is widely considered a cornerstone in electric machine design, seamlessly integrating analytical methods with Finite Element Analysis (FEA). This fusion empowers engineers to quickly and accurately predict performance, allowing for informed decision-making, more efficient design iterations, and seamless integration with other Ansys tools.

The evolution of electric machine design, “fueled” by automotive electrification and sustainability goals, mandates the creation of compact, efficient, and powerful motors which are suitable for mass production. This process spans all stages, from specification analysis to optimization, and addresses various performance criteria. Ansys optiSLang™, through Process Integration and Design Optimization (PIDO), revolutionizes optimization workflows by automating parameter tuning and iteration processes. By leveraging AI and machine learning, optiSLang can generate optimal prediction metamodels and provide deep insights into the design space.

Synergizing Simulation eBook Cover Mockup

Electric motors are critical in a growing number of sectors, demanding intricate design considerations that encompass electromechanical dynamics, thermal management, and noise factors. In particular, the evolution of traction motors in electric and hybrid-electric vehicles adds to this complexity, requiring a more a holistic approach. Synergizing Simulation: Ansys Motor-CAD and optiSLang for Peak Performance explores the optimization of electric motor design and provides engineers invaluable guidance through the process.

Ansys Motor-CAD™ is widely considered a cornerstone in electric machine design, seamlessly integrating analytical methods with Finite Element Analysis (FEA). This fusion empowers engineers to quickly and accurately predict performance, allowing for informed decision-making, more efficient design iterations, and seamless integration with other Ansys tools.

The evolution of electric machine design, “fueled” by automotive electrification and sustainability goals, mandates the creation of compact, efficient, and powerful motors which are suitable for mass production. This process spans all stages, from specification analysis to optimization, and addresses various performance criteria. Ansys optiSLang™, through Process Integration and Design Optimization (PIDO), revolutionizes optimization workflows by automating parameter tuning and iteration processes. By leveraging AI and machine learning, optiSLang can generate optimal prediction metamodels and provide deep insights into the design space.

The integration of Motor-CAD and optiSLang forms a robust optimization workflow, allowing for comprehensive design exploration and multi-physics analysis. It therefore enables engineers to streamline decision-making, mitigate risks, and enhance design insights. Through structured sensitivity analysis, metamodel generation, and validation, engineers are equipped to meet specific requirements and achieve tailored solutions.

In summary, the collaboration between Ansys Motor-CAD and optiSLang marks an important paradigm shift in electric motor design. By integrating simulation-driven insights with advanced optimization strategies, these tools continuously redefine industry standards while unlocking virtually endless design possibilities. Synergizing Simulation: Ansys Motor-CAD and optiSLang for Peak Performance provides a comprehensive look into the future of electric motor design and attaining peak performance by leveraging Ansys’ state-of-the-art tools and methodologies.

 

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