Parametric Optimization and Influence of Near-Dry WEDM Variables on Nitinol Shape Memory Alloy.

Rakesh Chaudhari, Aniket Kevalramani, Jay Vora, Sakshum Khanna, Vivek K Patel, Danil Yurievich Pimenov, Khaled Giasin

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Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed

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3 · Its place in the literature

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5 citing papers in PubMed.

Towards a Nitinol-Based Microfabricated Approach to Repair Long-Gap Esophageal Atresia.Micromachines · 2026
Article
Shape memory alloys in modern engineering: progress, problems, and prospects.RSC advances · 2025
Review
Performance evaluation and multi-objective optimization of EDM parameters for Ti6Al4V using different tool electrodes.Scientific reports · 2025
Article
Editorial for the Special Issue on Micro-Electro Discharge Machining: Principles, Recent Advancements and Applications, Volume II.Micromachines · 2022
Article
Implementation of Passing Vehicle Search Algorithm for Optimization of WEDM Process of Nickel-Based Superalloy Waspaloy.Nanomaterials (Basel, Switzerland) · 2022
Article

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7 authors.

Rakesh ChaudhariDepartment of Mechanical Engineering, School of Technology, Pandit Deendayal Energy University, Raysan, Gandhinagar 382007, India.ORCID 0000-0001-6904-2362

Aniket KevalramaniDepartment of Mechanical Engineering, School of Technology, Pandit Deendayal Energy University, Raysan, Gandhinagar 382007, India.

Jay VoraDepartment of Mechanical Engineering, School of Technology, Pandit Deendayal Energy University, Raysan, Gandhinagar 382007, India.ORCID 0000-0002-7543-903X

Sakshum KhannaJournal of Visualized Experiments, Delhi 110016, India.ORCID 0000-0001-7918-3206

Vivek K PatelDepartment of Mechanical Engineering, School of Technology, Pandit Deendayal Energy University, Raysan, Gandhinagar 382007, India.ORCID 0000-0001-7508-186X

Danil Yurievich PimenovDepartment of Automated Mechanical Engineering, South Ural State University, Lenin Prosp. 76, 454080 Chelyabinsk, Russia.ORCID 0000-0002-5568-8928

Khaled GiasinSchool of Mechanical and Design Engineering, University of Portsmouth, Portsmouth PO1 3DJ, UK.ORCID 0000-0002-3992-8602

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nitinol-shape memory alloys (SMAs) are widely preferred for applications of automobile, biomedical, aerospace, robotics, and other industrial area. Therefore, precise machining of Nitinol SMA plays a vital role in achieving better surface roughness, higher productivity and geometrical accuracy for the manufacturing of devices. Wire electric discharge machining (WEDM) has proven to be an appropriate technique for machining nitinol shape memory alloy (SMA). The present study investigated the influence of near-dry WEDM technique to reduce the environmental impact from wet WEDM. A parametric optimization was carried out with the consideration of design variables of current, pulse-on-time (T

Indexed as

near-dry wire electric discharge machining (WEDM)nitinoloptimizationshape memory alloysteaching–learning based optimization (TLBO) algorithm

Identifiers

PMID35888844

DOI10.3390/mi13071026

PMCPMC9320167

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.