Optimization of Cutting Parameters Under the Constraint of Machining Time

  IJRES-book-cover  International Journal of Recent Engineering Science (IJRES)          
  
© 2022 by IJRES Journal
Volume-9 Issue-6
Year of Publication : 2022
Authors : Bachir Haoulef, Mohamed Rahou, Fethi Sebaa
DOI : 10.14445/23497157/IJRES-V9I6P102

How to Cite?

Bachir Haoulef, Mohamed Rahou, Fethi Sebaa, "Optimization of Cutting Parameters Under the Constraint of Machining Time," International Journal of Recent Engineering Science, vol. 9, no. 6, pp. 5-10, 2022. Crossref, https://doi.org/10.14445/23497157/IJRES-V9I6P102

Abstract
The choice of cutting parameters plays a crucial role in the life of cutting tools, the surface condition of machined parts, manufacturing tolerances and productivity. This paper aims to develop a new approach for optimizing cutting parameters for machining on CNC machine tools, such as cutting speed, feed rate, and depth of cut. This approach is based on the transfer from a single-objective system to a multi-objective system. A tool has been developed to determine the optimized cutting parameters directly.

Keywords
Cutting parameters, Multi-criteria, Workpiece quality, Machining time, Cutting speed.

Reference
[1] Luis Wilfredo Hernández González et al., “Effects of Cutting Parameters on Surface Roughness and Hardness in Milling of AISI 304 Steel,” Dyna, vol. 85, no. 205, pp. 57-63, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Sofiane Berkani et al., “Statistical Analysis of AISI304 Austenitic Stainless Steel Machining Using Ti (C, N)/Al2O3/TiN CVD Coated Carbide Tool,” International Journal of Industrial Engineering Computations, vol. 6, no. 4, pp. 539-552, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[3] M. Kaladhar, K. Venkata Subbaiah, and Srinivasa Rao, “Determination of Optimum Process Parameters During Turning of AISI 304 Austenitic Stainless Steels Using Taguchi Method and ANOVA,” International Journal of Lean Thinking, vol. 3, no. 1, 2012.
[Google Scholar] [Publisher Link]
[4] Rusid Nur et al., “Machining Parameters Effect in Dry Turning of AISI 316L Stainless Steel Using Coated Carbide Tools,” Journal of Process Mechanical Engineering, vol. 231, no. 4, pp. 676-683, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Gabriel Medrado Assis Acayaba, and Patricia Muñoz De Escalona, “Prediction of Surface Roughness in Low-Speed Turning of AISI316 Austenitic Stainless Steel,” CIRP Journal of Manufacturing Science and Technology, vol. 11, pp. 62-67, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Y. A. Avevor, and A. Moufkia, “Studied the Influence of the Cutting Speed on the Thermomechanical Conditions at the Tool-Chip Interface,” 22nd French Congress of Mechanics Lyon, 2015.
[7] Roger Serra, “Optimization of Cutting Parameters in Machining: Comparison of Existing Methods,” CFM 2013 - 21st French Mechanical Congress, Bordeaux, France, 2013.
[8] Mehmet Emre Kara, “Modeling and Optimization of Turn-Milling Processes for Cutting Parameter Selection,” Industrial Engineering, Msc. Thesis, 2015.
[Google Scholar] [Publisher Link]
[9] M. Dib, et al., “Optimization of the Parameters of Cut by Roughness Analysis,” CFM 2015 - 22nd French Mechanical Congress, Lyon, France, 2015.
[10] S. Varun, and Shilpa Parkhi, “Optimization of Multiple Process Parameter of Milling (multi-objective) on AISI 202 Stainless Steel Using Taguchi Based Grey Relational Analysis,” International Journal of Engineering Trends and Technology, vol. 68, no. 10, pp. 81-86, 2020.
[CrossRef] [Publisher Link]
[11] Vedat Savas, and Cetin Ozay, “The Optimization of the Surface Roughness in the Process of Tangential Turn-Milling Using Genetic Algorithm,” International Journal of Advanced Manufacturing Technology, vol. 37, pp. 335–340, 2008.
[CrossRef] [Google Scholar] [Publisher Link]
[12] M.C. Santos et al., “Multi-Objective Optimization of Cutting Conditions When Turning Aluminum Alloys (1350-O and 7075-T6 Grades) Using Genetic Algorithm,” International Journal of Advanced Manufacturing Technology, vol. 76, pp. 1123-1138, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Ali Salmanasnia et al., “Multiple Surface Optimizations with Correlated Data,” The International Journal of Advanced Manufacturing Technology, vol. 64, pp. 841-855, 2013.
[CrossRef] [Publisher Link]
[14] H. Chibane et al., “Correlation Between Vibrations and the Defects Generated During the Machining of a Carbon/Epoxy Composite Material T800s/M21,” 20th French Congress of Mechanics, 2011.
[15] L.L. Corso et al., “Using Optimization Procedures to Minimize Machining Time While Maintaining Surface Quality,” The International Journal of Advanced Manufacturing Technology, vol. 65, pp. 1659-1667, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Claude Marty, and Jean-Marc Linares, “Industrialization of Mechanical Products,” Hermes Science, Paris, vol. 1, 1999.
[17] Claude Marty, and Jean-Marc Linares, “Industrialization of Mechanical Products,” Hermes Science, Paris, vol. 3, 1999.
[18] Chevalier Bohan, Manufacturing Guide, Paris, 2003.
[19] Rahul Reddy Sandi, ChanikyaAnasuri, and Shyam Kumar. S, “Cutting Tool Selection - Geometry, Workpiece, Tool Material: A Simulated, Library-Based Interactive Approach,” SSRG International Journal of Mechanical Engineering, vol. 8, no. 11, pp. 18-30, 2021.
[CrossRef] [Publisher Link]
[20] M Rahou, and F Sebaa, “Automation of Cutting Parameters,” 4 th International Conference on Computer Integrated Manufacturing, Cip' 2007, Setif, Algeria, 2007.
[21] Naife A. Talib, “Studying the Effect of Cutting Speed and Feed Rate on Tool Life in the Turning Processes,” Diyala Journal of Engineering Sciences, pp. 181-194, 2010.
[Google Scholar] [Publisher Link]
[22] M. Rahou et al., “Automation of Machining Instructions "Case of Cutting Parameters",” International Conference on Advances in Mechanical Engineering Istanbul 2016 - ICAME'16, Yildiz Technical University, Istanbul, Turkish, 2016.
[23] A Hassi, M Khathat, and M Lagha, “Automation of Cutting Parameters,” Duea Memory, University of Tlemcen, 2008.
[24] Y.Touggui, et al., “Optimization of Cutting Parameters When Turning AISI 316l Stainless Steel Using ANOVA and the Taguchi Method,” ISMRE 2018, Algeria, 2018.
[25] Mulugeta Berhane Haile, “Optimization of Cutting Parameters on Compacted Graphite Iron (CGI) Machining,” Master of Science Thesis, School of Industrial Engineering and Management Royal Institute of Technology, 2011.
[Publisher Link]
[26] N. Hamlaoui et al., “Optimization of Cutting Parameters To Minimize Cutting Temperature When Machining Hdpe-100 Tubes,” 24th French Mechanical Congress, Brest, 2019.
[27] Benard Ansemetti, “Manufacturing and Metrology Quotation,” Hermes Science, Lavoisier, Paris, vol. 3, 2003.