BEST PRACTICE | Fully Automated Multi-Disciplinary Optimization of an Electric Vehicle Motor Thermal Design

This Best Practice document describes how an optimization based on a sequential
thermal-structural analysis can be deployed across an organization and used in the decision-making process to arrive at a design that satisfies the requirements.


The optimization is conducted by building a Simulation Process in the SIMULIA Optimization Process Composer application. The Simulation Process executes an optimization based on sequential thermal-structural analysis. The thermal analysis is set up using the SIMULIA Fluid Scenario Creation application and simulates the heat transfer between the Coolant and Stator of an Electric Vehicle motor. The structural analysis is set up using the SIMULIA Mechanics Scenario Creation application and simulates the structural performance of the Coolant jacket design under the forces exerted by the fluid. The optimization optimizes the thermal and structural performance of the coolant jacket design. The Simulation Process created for the optimization is converted into a Simulation Template and deployed to the design engineers in the organization.


Prerequisites and recommendations: To use this best practice, the user must be familiar with the following roles: Multidisciplinary Optimization Engineer (MDO), Fluid Dynamics Engineer (FMK) and Structural Mechanics Engineer (SSU) role. 


Target audience: Design Engineers, Thermal Engineers, Hydraulic Engineers, CFD analysts, and Methods developers. 


In this Best Practice , you will learn about :

  • Creating and configuring a sequential Thermal-Structural analysis
  • Creating, configuring and deploying a fully automated Multi-Disciplinary optimization 








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