Optimization of Variable Reluctance Electrical Machines by Topological Optimization Method

• Grant number: 23/09304-4
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: August 01, 2023
• End date: July 31, 2025
• Field of knowledge: Engineering - Mechanical Engineering
• Agreement: BG E&P Brasil (Shell Group)
• Principal Investigator: Emílio Carlos Nelli Silva
• Grantee: Bruno Henrique Fiorindo Paschoal
• Host Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Company: Universidade de São Paulo (USP). Escola Politécnica (EP)
• Associated research grant: 20/15230-5 - Research Centre for Greenhouse Gas Innovation - RCG2I, AP.PCPE

Abstract

This work falls within the scope of research on Multiphysics Topology Optimization. Topology optimization is capable of optimizing the spatial distribution of material within a structure domain, maximizing a desired aspect. In this particular work, the focus of optimization is to maximize the electromagnetic force of the electric motor by altering its geometry. There is currently a great concern regarding the viability and energy efficiency of electric motors in certain applications. Therefore, through the application of topology optimization, the aim is to improve the power-to-weight ratio and energy efficiency of variable reluctance electric motors by minimizing the weight of components while maintaining or increasing the magnitude of the electromagnetic force. This will be accomplished using the Maxwell's differential equations. The objective of this work is to implement an algorithm, using the FEniCS platform along with the Dolfin-Adjoint and IPOPT libraries, capable of utilizing topology optimization to obtain motor architectures that embody the mentioned improvements. This study will be based on the Finite Element Method for the implementation of numerical solutions. The student, who has prior knowledge related to modeling and simulation with FEniCS, will carry out this project following the steps established in the Work Plan within the estimated timeline of the Schedule. (AU)