Performance assessment of vegetable oil-based nanofluid in Minimum Quantity Lubrication (MQL) during machining of Inconel 718
Author:
Affiliation:
1. Mechanical Engineering Department, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Mechanics of Materials,General Materials Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/2374068X.2021.1945305
Reference57 articles.
1. Surface integrity and sustainability assessment in high-speed machining of Inconel 718 – An eco-friendly green approach
2. Influence of Al2O3 and palm oil–mixed nano-fluid on machining performances of Inconel-690: IF-THEN rules–based FIS model in eco-benign milling
3. Synergistic effect of silica and pure palm oil on the machining performances of Inconel 690: A study for promoting minimum quantity nano doped-green lubricants
4. Development of electrostatic solid lubrication system for improvement in machining process performance
5. Tool life and cutting forces in end milling Inconel 718 under dry and minimum quantity cooling lubrication cutting conditions
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Evaluation of the turning parameters of AISI 5115 steel in dry and MQL cutting environments with the use of a coated carbide cutting insert: An Experimental Study;Journal of Materials and Mechatronics: A;2024-06-26
2. Sustainable machining of AISI 4340 steel using semi-vegetable oil blends;Materials and Manufacturing Processes;2024-06-20
3. Machinability of Inconel 718 using unitary and hybrid nanofluids under minimum quantity lubrication;Advances in Materials and Processing Technologies;2024-02
4. Numerical and experimental investigation of the droplet size for MQL aerosol under different operating parameters with Flow visualization;Engineering Research Express;2023-09-01
5. Minimum quantity lubrication machining nickel base alloy: a comprehensive review;The International Journal of Advanced Manufacturing Technology;2023-06-17
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