Eco-friendly MoS2/waste coconut oil nanofluid for machining of magnesium implants

Author:

Saravanan R.1,Sathish T.1,Vijayan V.2,Rajkumar S.3,Sharma Shubham45,Li Changhe5,Zhang Yanbin5,Sharma Kamal6,Eldin Sayed M.7

Affiliation:

1. Department of Mechanical Engineering, Saveetha School of Engineering, S.I.M.A.T.S. , Chennai 602 105 , Tamil Nadu , India

2. Department of Mechanical Engineering, K. Ramakrishnan College of Technology, Samayapuram , Trichy 621 112 , Tamil Nadu , India

3. Department of Mechanical Engineering, Faculty of Manufacturing, Institute of Technology, Hawassa University , Awasa , Ethiopia

4. Mechanical Engineering Department, University Center for Research & Development, Chandigarh University , Mohali , Punjab, 140413 , India

5. School of Mechanical and Automotive Engineering, Qingdao University of Technology , 266520 , Qingdao , China

6. Institute of Engineering and Technology, GLA University , Mathura (U.P.) , 281406 , India

7. Center of Research, Faculty of Engineering, Future University in Egypt , New Cairo , 11835 , Egypt

Abstract

Abstract The cost of the coolant and its disposal cost are significant issues in metal machining processes. In biocompatible magnesium alloy-based medical implants and instrument manufacturing, the cost hikes are owing to the use of unconventional machining processes and computerised numerical control machines. This research aims to improve machinability performance and optimize process parameters for biocompatible magnesium implant manufacturing for biomedical applications using eco-friendly nanofluid of MoS2 nanoparticles suspended in waste coconut oil. The nanofluid was prepared from the multiple times used waste coconut oil (waste) and was mixed with MoS2 nanoparticles. The orthogonal array L16, Taguchi analysis, and analysis of variance were employed in experimental design and statistical optimization. The machinability performance was determined by measuring and comparing the responses like cutting force, feed force, surface roughness, cutting zone temperature, and tool wear. They were compared with machining using a nanofluid and conventional commercial coolant. The results reveal that the proposed method of machining improved machinability performance appreciably; therefore, the observations of the proposed method were used and the process parameters were optimized. Mathematical models were developed for the prediction of process parameters. The proposed method exhibited the average reduction of the cutting force by 68.23167 N, feed force requirements by 34.180 N, the cutting zone temperature by 60.435°C, the surface roughness by 0.118908 µm, and the tool wear by 039938 mg·h−1.

Publisher

Walter de Gruyter GmbH

Subject

Condensed Matter Physics,General Materials Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3