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Optimal tool design in micro-milling of difficult-to-machine materials
The limitations of significant tool wear and tool breakage of commercially available fluted micro-end mill tools often lead to ineffective and inefficient manufacturing, while surface quality and geometric dimensions remain unacceptably poor. This is especially true for machining of difficult-to-mac...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shanghai University
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140131/ https://www.ncbi.nlm.nih.gov/pubmed/37128239 http://dx.doi.org/10.1007/s40436-022-00418-w |
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author | O’Toole, Lorcan Fang, Feng-Zhou |
author_facet | O’Toole, Lorcan Fang, Feng-Zhou |
author_sort | O’Toole, Lorcan |
collection | PubMed |
description | The limitations of significant tool wear and tool breakage of commercially available fluted micro-end mill tools often lead to ineffective and inefficient manufacturing, while surface quality and geometric dimensions remain unacceptably poor. This is especially true for machining of difficult-to-machine (DTM) materials, such as super alloys and ceramics. Such conventional fluted micro-tool designs are generally down scaled from the macro-milling tool designs. However, simply scaling such designs from the macro to micro domain leads to inherent design flaws, such as poor tool rigidity, poor tool strength and weak cutting edges, ultimately ending in tool failure. Therefore, in this article a design process is first established to determine optimal micro-end mill tool designs for machining some typical DTM materials commonly used in manufacturing orthopaedic implants and micro-feature moulds. The design process focuses on achieving robust stiffness and mechanical strength to reduce tool wear, avoid tool chipping and tool breakage in order to efficiently machine very hard materials. Then, static stress and deflection finite element analysis (FEA) is carried out to identify stiffness and rigidity of the tool design in relation to the maximum deformations, as well as the Von Mises stress distribution at the cutting edge of the designed tools. Following analysis and further optimisation of the FEA results, a verified optimum tool design is established for micro-milling DTM materials. An experimental study is then carried out to compare the optimum tool design to commercial tools, in regards to cutting forces, tool wear and surface quality. |
format | Online Article Text |
id | pubmed-10140131 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Shanghai University |
record_format | MEDLINE/PubMed |
spelling | pubmed-101401312023-04-29 Optimal tool design in micro-milling of difficult-to-machine materials O’Toole, Lorcan Fang, Feng-Zhou Adv Manuf Article The limitations of significant tool wear and tool breakage of commercially available fluted micro-end mill tools often lead to ineffective and inefficient manufacturing, while surface quality and geometric dimensions remain unacceptably poor. This is especially true for machining of difficult-to-machine (DTM) materials, such as super alloys and ceramics. Such conventional fluted micro-tool designs are generally down scaled from the macro-milling tool designs. However, simply scaling such designs from the macro to micro domain leads to inherent design flaws, such as poor tool rigidity, poor tool strength and weak cutting edges, ultimately ending in tool failure. Therefore, in this article a design process is first established to determine optimal micro-end mill tool designs for machining some typical DTM materials commonly used in manufacturing orthopaedic implants and micro-feature moulds. The design process focuses on achieving robust stiffness and mechanical strength to reduce tool wear, avoid tool chipping and tool breakage in order to efficiently machine very hard materials. Then, static stress and deflection finite element analysis (FEA) is carried out to identify stiffness and rigidity of the tool design in relation to the maximum deformations, as well as the Von Mises stress distribution at the cutting edge of the designed tools. Following analysis and further optimisation of the FEA results, a verified optimum tool design is established for micro-milling DTM materials. An experimental study is then carried out to compare the optimum tool design to commercial tools, in regards to cutting forces, tool wear and surface quality. Shanghai University 2022-10-17 2023 /pmc/articles/PMC10140131/ /pubmed/37128239 http://dx.doi.org/10.1007/s40436-022-00418-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article O’Toole, Lorcan Fang, Feng-Zhou Optimal tool design in micro-milling of difficult-to-machine materials |
title | Optimal tool design in micro-milling of difficult-to-machine materials |
title_full | Optimal tool design in micro-milling of difficult-to-machine materials |
title_fullStr | Optimal tool design in micro-milling of difficult-to-machine materials |
title_full_unstemmed | Optimal tool design in micro-milling of difficult-to-machine materials |
title_short | Optimal tool design in micro-milling of difficult-to-machine materials |
title_sort | optimal tool design in micro-milling of difficult-to-machine materials |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10140131/ https://www.ncbi.nlm.nih.gov/pubmed/37128239 http://dx.doi.org/10.1007/s40436-022-00418-w |
work_keys_str_mv | AT otoolelorcan optimaltooldesigninmicromillingofdifficulttomachinematerials AT fangfengzhou optimaltooldesigninmicromillingofdifficulttomachinematerials |