Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Tolerance Sensitivity Analysis and Robust Optimal Design Method of a Surface-Mounted Permanent Magnet Motor by Using a Hybrid Response Surface Method Considering Manufacturing Tolerances

Authors
Jun, Cha-SeungKwon, Byung-IlKwon, Ohbong
Issue Date
May-2018
Publisher
MDPI
Keywords
hybrid response surface design; manufacturing tolerance; robust design; surface-mounted permanent magnet (SPM) motor; Taguchi robust design
Citation
ENERGIES, v.11, no.5
Indexed
SCIE
SCOPUS
Journal Title
ENERGIES
Volume
11
Number
5
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/6279
DOI
10.3390/en11051159
ISSN
1996-1073
Abstract
This paper presents a robust optimal design method using a hybrid response surface method (H-RSM) which directly finds an optimal point satisfying a target Z-value or a probability of failure. Through three steps, this paper achieves the goal that is to increase the open-circuit airgap flux (OCAF) in a surface-mounted permanent magnet motor and decrease its variation caused by variations of the airgap lengths including an additional one between permanent magnets and rotor back yoke. First, the OCAF equation is derived from the magnetic equivalent circuit (MEC) considering the additional airgap. Then, the equation is validated by comparing its results with those of the finite element method (FEM) modeled by the slotless stator. Next, the tolerance sensitivity analysis, using the partial derivative of the OCAF equation with respect to the airgap length, is performed to investigate the effects of design variables on the OCAF. It is shown that increasing the magnet thickness is effective for both increasing mean of the OCAF and reducing its variation. Finally, robust optimal design is performed using the H-RSM, in which all data are obtained from the FEM modeled by the slotted stator. The results of the robust optimal design are verified using the FEM.
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF ENGINEERING SCIENCES > SCHOOL OF ELECTRICAL ENGINEERING > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE