Six Sigma-Based Mathematical Optimization Framework for Flux-Switching Machines : A Roadmap for Quality, Performance, and Manufacturing Tolerances
| dc.contributor.author | Abunike, Chiweta E. | |
| dc.contributor.author | Okoro, Ogbonnaya I. | |
| dc.contributor.author | Aphale, Sumeet S. | |
| dc.contributor.institution | University of Aberdeen.Engineering | en |
| dc.contributor.institution | University of Aberdeen.Engineering | en |
| dc.contributor.institution | University of Aberdeen.Data and Artificial Intelligence | en |
| dc.contributor.institution | University of Aberdeen.Artificial intelligence, Robotics and Mechatronic Systems Group (ARMS) | en |
| dc.date.accessioned | 2025-06-09T10:14:01Z | |
| dc.date.available | 2025-06-09T10:14:01Z | |
| dc.date.issued | 2025-02 | |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 22 | |
| dc.format.extent | 2350304 | |
| dc.identifier | 302492216 | |
| dc.identifier | fb7e417c-9fa5-45a7-a893-01cf36f2386f | |
| dc.identifier | 85219032197 | |
| dc.identifier.citation | Abunike, C E, Okoro, O I & Aphale, S S 2025, 'Six Sigma-Based Mathematical Optimization Framework for Flux-Switching Machines : A Roadmap for Quality, Performance, and Manufacturing Tolerances', Machines, vol. 13, no. 2, 102. https://doi.org/10.3390/machines13020102 | en |
| dc.identifier.doi | 10.3390/machines13020102 | |
| dc.identifier.iss | 2 | en |
| dc.identifier.issn | 2075-1702 | |
| dc.identifier.other | ORCID: /0000-0002-1691-1648/work/181280009 | |
| dc.identifier.uri | https://hdl.handle.net/2164/25543 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85219032197&partnerID=8YFLogxK | en |
| dc.identifier.vol | 13 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Machines | en |
| dc.subject | SDG 7 - Affordable and Clean Energy | en |
| dc.subject | Design for Six Sigma (DFSS) | en |
| dc.subject | electromagnetic performance | en |
| dc.subject | flux-switching wound field machines (FSWFMs) | en |
| dc.subject | manufacturing tolerances | en |
| dc.subject | response surface methodology (RSM) | en |
| dc.subject | robust optimization | en |
| dc.subject | TA Engineering (General). Civil engineering (General) | en |
| dc.subject | Control and Systems Engineering | en |
| dc.subject | Computer Science (miscellaneous) | en |
| dc.subject | Mechanical Engineering | en |
| dc.subject | Control and Optimization | en |
| dc.subject | Industrial and Manufacturing Engineering | en |
| dc.subject | Electrical and Electronic Engineering | en |
| dc.subject | Supplementary Data | en |
| dc.subject | DAS | en |
| dc.subject.lcc | TA | en |
| dc.title | Six Sigma-Based Mathematical Optimization Framework for Flux-Switching Machines : A Roadmap for Quality, Performance, and Manufacturing Tolerances | en |
| dc.type | Journal article | en |
Files
Original bundle
1 - 1 of 1
- Name:
- Abunike_etal_M_Six_Sigma_Based_VoR.pdf
- Size:
- 2.24 MB
- Format:
- Adobe Portable Document Format
