Socio-Inspired Optimization of Cutting Force in Micro Drilling of CFRP Composites for Aerospace Applications
Aniket Nargundkar1, Apoorva Shastri2
1Aniket Nargundkar*, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Lavale, Pune, India.
2Apoorva Shastri, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Lavale, Pune, India.
Manuscript received on November 15, 2019. | Revised Manuscript received on 20 November, 2019. | Manuscript published on December 10, 2019. | PP: 43-47 | Volume-9 Issue-2, December 2019. | Retrieval Number: A4770119119/2019©BEIESP | DOI: 10.35940/ijitee.A4770.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The aim of this paper is to apply socio-inspired Cohort Intelligence algorithm for the minimization of forces(cutting) induced in micro drilling machining of composite materials for aerospace applications. Three objective functions developed by Ravi Shankar Anand and Karali Patra are being used. These objective functions are forces in radial directions and thrust force.. Four variations of CI namely Follow Best, Roulette Wheel Follow Better, and Alienation have been applied. The variations of CI was coded in MATLAB (R2016a). The results are compared with experimental work. The results obtained are much better than already available results giving significant drop in cutting forces and thereby power consumption and ultimately improvement in hole quality. As a future direction, other metaheuristics, socio based algorithms can be applied for solving the problem. Also, variations of Cohort Intelligence can be applied for constrained problems.
Keywords: Micro Drilling, Cutting Forces, Cohort Intelligence, Optimization and Applications
Scope of the Article: Composite Materials