Optimization
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Improvement of Motor Design Process through Topology Optimization and Parametric Multi-Objective Optimization
Hisayoshi Takeuchi, DAIHATSU MOTOR CO.,LTD.
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The Future of R&D and Design: What Can Electromagnetic Field Analysis and Artificial Intelligence Do for You?
Hajime Igarashi, Hokkaido University
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[JAC302] Optimization of IPM Motor Geometry and Coil Turns
This case study optimizes IPM motor geometry and coil turns by using objective functions to maximize the average efficiency of several operating points and minimize the volume to …
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[JAC307] Topology Optimization of SPM Motor Using the Magnet Orientation Direction as a Design Variable
This case study runs an optimization to simultaneously explore the magnet topology and orientation directions through design variables to obtain at least the same torque as a Halb…
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[L-OP-188] High-Speed Large-Scale Design Space Exploration Using Surrogate Model-Assisted Optimization
In this case study, we used JMAG to optimize the geometry of an induction heating coil with surrogate models.
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[L-OP-187] Multi-disciplinary Evaluation for Optimal Design Without Rework
In this case study, we optimize a wound field synchronous motor (EESM) with two objective functions - average efficiency under the WLTC driving cycle and maximizing torque.
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[L-OP-201] Storing and Reusing Simulation Data
In this case study, JMAG Design Explorer is used to reference and compare ten different optimization results for two types of motors—IPM motors and induction motors—each with diff…
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[L-SE-194] Many-Case Distributed Calculations: Performance of Large-Scale Optimization
Optimization with many design variables requires exploring a large design space, leading to increased computational cost. In these scenarios, leveraging distributed processing on …
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[L-OP-190] Standalone Simulations to Evaluate Magnetic, Thermal, Structural, and Control Designs
This case study runs an optimization on the initial nabla-shaped IPM drive motor design to maximize torque and minimize magnet mass for greater fuel economy during the WLTC drive …
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Data-Driven Optimization of E-Machines Considering the Powertrain of Electric Vehicles
Maximilian Clauer, Dr. Ing. h.c. F. Porsche AG
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Machine learning in traction motor design – fragile hype or real revolution? An experience report.
Louis Jäkel, IAV Japan Co., Ltd.
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Multi-physics Design Optimization of an Externally Excited Axial Flux Machine
Martin Bruell, Schaeffler AG
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A Modular Generator Design for Large Wind Turbines: Concept and Case Study
Masaya Inoue, Albatross technology inc.
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Advancing CSC Electrical Steels: From Material Development to Measurement and Prototype Applications
Chen Guan-Ming, China Steel Corporation
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[JAC319] Design Exploration of an IPM Motor Using an Offline Optimization
This document introduces a process for an offline optimization run using a surrogate model to explore design solutions that satisfy the requirements in less time while also reduci…
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[JAC317] Optimization via a Surrogate Model Using Materials as Design Variables
This case study runs a material optimization of an IPM motor that minimizes the iron losses and material costs to select the best core from three types of materials: electromagnet…
