Design Exploration / Optimization
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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…
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[JFT211] Parametric Analysis and Optimization in JMAG-Express Using Custom User Geometry
This tutorial describes the procedures to run a parametric analysis and optimization in JMAG-Express using two-dimensional geometry data created in external CAD software.
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[JFT214] Optimization with Constraints on Dependent Dimension Parameters
OverviewGeometry optimization is a promising technique to produce innovative designs but imposing proper constraints on dimension parameters is crucial to exclude unmanufacturable…
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[JFT213] Offline Optimization Using Response Value Surrogate Model and Geometry Check Surrogate Model
This tutorial describes the procedures to export a geometry check surrogate model from an optimization run with a response value surrogate model to execute an optimization that re…
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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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Advancing CSC Electrical Steels: From Material Development to Measurement and Prototype Applications
Chen Guan-Ming, China Steel Corporation
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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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Multi-physics Design Optimization of an Externally Excited Axial Flux Machine
Martin Bruell, Schaeffler 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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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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[L-OP-211] Offline Optimizations Using Surrogate Models
This case study runs an offline optimization to explore the optimal geometry for an axial gap motor to maximize average torque and minimize losses. A constraint condition anticipa…
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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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[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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[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.
