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Machinability Analysis and Optimization in Wire EDM of Medical Grade NiTiNOL Memory Alloy
NiTiNOL (Nickel–Titanium) shape memory alloys (SMAs) are ideal replacements for titanium alloys used in bio-medical applications because of their superior properties like shape memory and super elasticity. The machining of NiTiNOL alloy is challenging, as it is a difficult to cut material. Hence, in...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254380/ https://www.ncbi.nlm.nih.gov/pubmed/32397503 http://dx.doi.org/10.3390/ma13092184 |
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author | Kulkarni, Vinayak N. Gaitonde, V. N. Karnik, S. R. Manjaiah, M. Davim, J. Paulo |
author_facet | Kulkarni, Vinayak N. Gaitonde, V. N. Karnik, S. R. Manjaiah, M. Davim, J. Paulo |
author_sort | Kulkarni, Vinayak N. |
collection | PubMed |
description | NiTiNOL (Nickel–Titanium) shape memory alloys (SMAs) are ideal replacements for titanium alloys used in bio-medical applications because of their superior properties like shape memory and super elasticity. The machining of NiTiNOL alloy is challenging, as it is a difficult to cut material. Hence, in the current research the experimental studies on machinability aspects of medical grade NiTiNOL SMA during wire electric discharge machining (WEDM) using zinc coated brass wire as electrode material have been carried out. Pulse time (T(on)), pause time (T(off)), wire feed (WF), and servo voltage (SV) are chosen as varying input process variables and the effects of their combinational values on output responses such as surface roughness (SR), material removal rate (MRR), and tool wear rate (TWR) are studied through response surface methodology (RSM) based developed models. Modified differential evolution (MDE) optimization technique has been developed and the convergence curve of the same has been compared with the results of differential evolution (DE) technique. Scanning electron microscopy (SEM) and energy dispersive X-ray spectrography (EDS) analysis are carried out to study the surface morphology of the machined alloy. SV is found to be more influential process parameter for achieving better MRR with minimal SR and TWR, followed by T(on), T(off), and WF. The WF has good impact on reduced SR and TWR responses and found to be least significant in maximizing MRR. |
format | Online Article Text |
id | pubmed-7254380 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72543802020-06-10 Machinability Analysis and Optimization in Wire EDM of Medical Grade NiTiNOL Memory Alloy Kulkarni, Vinayak N. Gaitonde, V. N. Karnik, S. R. Manjaiah, M. Davim, J. Paulo Materials (Basel) Article NiTiNOL (Nickel–Titanium) shape memory alloys (SMAs) are ideal replacements for titanium alloys used in bio-medical applications because of their superior properties like shape memory and super elasticity. The machining of NiTiNOL alloy is challenging, as it is a difficult to cut material. Hence, in the current research the experimental studies on machinability aspects of medical grade NiTiNOL SMA during wire electric discharge machining (WEDM) using zinc coated brass wire as electrode material have been carried out. Pulse time (T(on)), pause time (T(off)), wire feed (WF), and servo voltage (SV) are chosen as varying input process variables and the effects of their combinational values on output responses such as surface roughness (SR), material removal rate (MRR), and tool wear rate (TWR) are studied through response surface methodology (RSM) based developed models. Modified differential evolution (MDE) optimization technique has been developed and the convergence curve of the same has been compared with the results of differential evolution (DE) technique. Scanning electron microscopy (SEM) and energy dispersive X-ray spectrography (EDS) analysis are carried out to study the surface morphology of the machined alloy. SV is found to be more influential process parameter for achieving better MRR with minimal SR and TWR, followed by T(on), T(off), and WF. The WF has good impact on reduced SR and TWR responses and found to be least significant in maximizing MRR. MDPI 2020-05-09 /pmc/articles/PMC7254380/ /pubmed/32397503 http://dx.doi.org/10.3390/ma13092184 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kulkarni, Vinayak N. Gaitonde, V. N. Karnik, S. R. Manjaiah, M. Davim, J. Paulo Machinability Analysis and Optimization in Wire EDM of Medical Grade NiTiNOL Memory Alloy |
title | Machinability Analysis and Optimization in Wire EDM of Medical Grade NiTiNOL Memory Alloy |
title_full | Machinability Analysis and Optimization in Wire EDM of Medical Grade NiTiNOL Memory Alloy |
title_fullStr | Machinability Analysis and Optimization in Wire EDM of Medical Grade NiTiNOL Memory Alloy |
title_full_unstemmed | Machinability Analysis and Optimization in Wire EDM of Medical Grade NiTiNOL Memory Alloy |
title_short | Machinability Analysis and Optimization in Wire EDM of Medical Grade NiTiNOL Memory Alloy |
title_sort | machinability analysis and optimization in wire edm of medical grade nitinol memory alloy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254380/ https://www.ncbi.nlm.nih.gov/pubmed/32397503 http://dx.doi.org/10.3390/ma13092184 |
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