Non-Convectional Machining (NCM) processes are used widely to produce accurate and intricate material shape such as titanium, stainless steels and resistant alloy that are of high strength, fiber-based composite, refractories and ceramics. The production of more complex shapes of materials using convectional machining processes is considered to be challenging. This research paper focusses on the section of the most effective NCM process. The ‘choice’ of the most considerable NCM process for a particular application could be seen as a multi-technique for making proper choices for diverse or conflicting approaches. To aid the process of choosing, various NCM techniques have been proposed in this research. This contribution focuses on the usage of unexplored NCM and Multi-Feature Decision-Making (MFDM) ‘choice’ issues.
Non-convectional Machining (NCM), Convectional Machining (CM), Multi-Feature Decision-Making (MFDM).
The author(s) received no financial support for the research, authorship, and/or publication of this article.
No funding was received to assist with the preparation of this manuscript.
The authors have no conflicts of interest to declare that are relevant to the content of this article.
No data available for above study.
All authors have equal contribution in the paper and all authors have read and agreed to the published version of the manuscript.
Open Access This article is licensed under a Creative Commons Attribution NoDerivs is a more restrictive license. It allows you to redistribute the material commercially or non-commercially but the user cannot make any changes whatsoever to the original, i.e. no derivatives of the original work. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-nd/4.0/
Jesang Hutchinson, “Critical Analysis of the Selection of Non-Conventional Machining Processes”, Journal of Machine and Computing, vol.1, no.3, pp. 132-139, July 2021. doi: 10.53759/7669/jmc202101015.
© 2021 Jesang Hutchinson. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.