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Mass Production Costing of Induction Machines for Automotive Applications

Hundak, Vladimir; Cox, Tom; Vakil, Gaurang; Gerada, Christopher

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Authors

Vladimir Hundak

Dr Tom Cox T.Cox@nottingham.ac.uk
ASSOCIATE PROFESSOR



Abstract

Cost is one of the key parameters of electric machines designed for automotive applications. In order to keep manufacturing cost low, it is desirable to estimate the manufacturing cost of the machine in the early stages of the design process. For this purpose, a costing algorithm for mass production of induction machines is proposed. The case study examines the impact of variations in dimension (stack length and bore diameter) of the input design on cost outputs, in order to validate the base structure of the algorithm. The overall aim of this work is to provide cost optimization of the machine design by implementation into a design optimization routine.

Citation

Hundak, V., Cox, T., Vakil, G., & Gerada, C. (2018, June). Mass Production Costing of Induction Machines for Automotive Applications. Presented at 2018 IEEE Transportation and Electrification Conference and Expo (ITEC), Long Beach, CA, USA

Conference Name 2018 IEEE Transportation and Electrification Conference and Expo (ITEC)
Start Date Jun 13, 2018
End Date Jun 15, 2018
Acceptance Date Jun 13, 2018
Online Publication Date Aug 30, 2018
Publication Date 2018
Deposit Date Oct 30, 2018
Publicly Available Date Oct 31, 2018
Publisher Institute of Electrical and Electronics Engineers
Pages 500-505
Book Title 2018 IEEE Transportation and Electrification Conference and Expo (ITEC)
Chapter Number N/a
ISBN 978-1-5386-3049-5
DOI https://doi.org/10.1109/ITEC.2018.8450116
Keywords Manufacturing; Torque; Induction machines; Optimization; Costing; Mathematical model; Windings
Public URL https://nottingham-repository.worktribe.com/output/1211254
Publisher URL https://ieeexplore.ieee.org/document/8450116
Additional Information © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Contract Date Oct 30, 2018

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