Analysis of Cutting Parameters for Enhanced Machining Efficiency and Tool Life in Milling of Nickel Titanium Alloy Through FE Simulation

This study investigates the careful investigation of cutting parameters to improve machining effectiveness and increase tool life while milling Nickel-Titanium Shape Memory alloy (NiTiNOL). The NiTiNOL material is employed to manufacture components such as, dental braces, seismic dampers and medical implants. Using Finite Element (FE) simulation, the research closely examines the intricate interactions among parameters, such as feed rate (f r ), depth of cut (D), and cutting speed (V c ). The use of Response Surface Methodology (RSM) and Taguchi has been used to determine the most optimal settings for tool longevity and machining efficiency. The FE simulation model provides a strong framework to investigate how cutting parameters affect necessary reactions. The present study examines interactions among parameters like cutting speed, depth of cut, and feed rate. Moderate cutting speed, lower depth of cut, and the highest feed rate has induced lower stress in the workpiece. This study adds to understanding NiTiNOL alloy machining fundamentals and offers useful information for industry applications. To attain better machining results while milling NiTiNOL alloy, the results are intended to guide an optimization technique

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Publication Details

Journal
Materials science forum
Published
2024-12-12
DOI
https://doi.org/10.4028/p-juwks9
Citations
1
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.21
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article

Analysis of Cutting Parameters for Enhanced Machining Efficiency and Tool Life in Milling of Nickel Titanium Alloy Through FE Simulation

Vinayak N. Kulkarni, Chandana Panji, Pavankumar Yavagal, S.G. Gurusiddayya et al.
1 citations
Materials science forum
Advanced machining processes and optimization
0.21
article

Analysis of Cutting Parameters for Enhanced Machining Efficiency and Tool Life in Milling of Nickel Titanium Alloy Through FE Simulation

Vinayak N. Kulkarni, Chandana Panji, Pavankumar Yavagal, S.G. Gurusiddayya, N.Deeban Chakravarthy, Yash Rawal
article en
1 citations

Abstract

This study investigates the careful investigation of cutting parameters to improve machining effectiveness and increase tool life while milling Nickel-Titanium Shape Memory alloy (NiTiNOL). The NiTiNOL material is employed to manufacture components such as, dental braces, seismic dampers and medical implants. Using Finite Element (FE) simulation, the research closely examines the intricate interactions among parameters, such as feed rate (f r ), depth of cut (D), and cutting speed (V c ). The use of Response Surface Methodology (RSM) and Taguchi has been used to determine the most optimal settings for tool longevity and machining efficiency. The FE simulation model provides a strong framework to investigate how cutting parameters affect necessary reactions. The present study examines interactions among parameters like cutting speed, depth of cut, and feed rate. Moderate cutting speed, lower depth of cut, and the highest feed rate has induced lower stress in the workpiece. This study adds to understanding NiTiNOL alloy machining fundamentals and offers useful information for industry applications. To attain better machining results while milling NiTiNOL alloy, the results are intended to guide an optimization technique

Materials science forumVol. 1135
KLE Technological University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 49%
Advanced machining processes and optimization
0.21
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Analysis of Cutting Parameters for Enhanced Machining Efficiency and Tool Life in Milling of Nickel Titanium Alloy Through FE Simulation — Vinayak N. Kulkarni, Chandana Panji, et al. · Materials science forum (2024) | TGRS Research Map | TGRS