Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)

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Study of Machining Characteristics of Non-conventional Methods

Authors
Rakesh R. Kolhapure1, 2, *, Duradundi S. Badkar1, 2
1Shivaji University, Kolhapur, India
2Faculty of Engineering, YSPM’s, Yashoda Technical Campus, Satara, India
*Corresponding author. Email: rockkolhapure@gmail.com
Corresponding Author
Rakesh R. Kolhapure
Available Online 1 May 2023.
DOI
10.2991/978-94-6463-136-4_26How to use a DOI?
Keywords
Shape memory alloy; Wire electro-discharge machining; traditional machining; non-traditional machining
Abstract

Smart alloy, which is typically called a shape memory alloy (SMA), have wide application in industry such as in aircraft, spacecraft, automotive, robotics, in civil structures, piping, medical field, engines, due to its shape memory effect, biocompatibility, strong resistance against corrosion, anti-fatigue characteristic. In a traditional machining method, physical contact occurs between workpiece and tool (SMA); therefore, increased tool wear and lesser dimensional stability due to pseudo-plasticity occur, which is not feasible. In contrast, different non-traditional machining methods are there, such as electrochemical machining (ECM), water jet machining (WJM), electro discharge machining (EDM), and wire electro-discharge machining (WEDM). The objective of this present work is to find a research gap. Based on the gap in a future new method, results get develop.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial 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 license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
Series
Advances in Computer Science Research
Publication Date
1 May 2023
ISBN
978-94-6463-136-4
ISSN
2352-538X
DOI
10.2991/978-94-6463-136-4_26How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial 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 license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Rakesh R. Kolhapure
AU  - Duradundi S. Badkar
PY  - 2023
DA  - 2023/05/01
TI  - Study of Machining Characteristics of Non-conventional Methods
BT  - Proceedings of the International Conference on Applications of Machine Intelligence and Data Analytics (ICAMIDA 2022)
PB  - Atlantis Press
SP  - 288
EP  - 305
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-136-4_26
DO  - 10.2991/978-94-6463-136-4_26
ID  - Kolhapure2023
ER  -