Design Exploration / Optimization
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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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[JFT207] Offline Optimization Using a Surrogate Model
This tutorial describes the procedures to run an offline optimization using only a surrogate model created via an optimization in advance.
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[JAC309] Material Optimization as Design Variable
A case study to optimize the dimensions of the IPM motor geometry and its core material among three types (electrical steel sheet, amorphous alloy and nanocrystalline alloy) simul…
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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-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-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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[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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[JFT152] Output of Response Values Using Surrogate Models
In this document, a macro is provided for quickly evaluating the results obtained by design parameter combinations using surrogate models. This document, as a workflow for paramet…
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[JFT146] Optimization Calculation Using Surrogate Models
This document describes as the workflow for optimization calculations using surrogate models creating training data, creating the sample case, and using a surrogate model in runni…
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[JFT094] Parametric Analysis of Material Properties
In this document, a parametric analysis is run varying coefficients for an iron loss equation from case to case, and a procedure for obtaining Joule loss and hysteresis loss is pr…
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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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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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Improvement of Motor Design Process through Topology Optimization and Parametric Multi-Objective Optimization
Hisayoshi Takeuchi, DAIHATSU MOTOR CO.,LTD.
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Case Study of Data-driven Design in Electric Motor Development
Naoki Ohmura, IHI Corporation
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Advanced 3D Simulation and Optimization of Dual-Rotor Radial-Flux Electric Machines Using JMAG
Adrian Wanner, DeepDrive GmbH
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Design And Simulation Of High-Performance Permanent Magnet Synchronous Machines for Next Generation of Systems
Bulent Sarlioglu, University of Wisconsin-Madison
