Socio-Inspired Optimization of Cutting Force in Micro Drilling of CFRP Composites for Aerospace Applications

The aim of this paper is to apply socio-inspired Cohort Intelligence algorithm for the minimization of cutting force for micro drilling of CFRP composites for aerospace applications. Three objective functions developed by Ravi Shankar Anand and Karali Patra are being used. These objective functions...

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Bibliographic Details
Published in:International journal of innovative technology and exploring engineering 2019-12, Vol.9 (2), p.43-47
Main Authors: Nargundkar, Aniket, Shastri, Apoorva
Format: Article
Language:English
Online Access:Get full text
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Summary:The aim of this paper is to apply socio-inspired Cohort Intelligence algorithm for the minimization of cutting force for micro drilling of CFRP composites for aerospace applications. Three objective functions developed by Ravi Shankar Anand and Karali Patra are being used. These objective functions are radial force (Fx and Fy), thrust force (Fz). Four variations of CI namely Roulette Wheel Selection, Follow Best, Follow Better, and Alienation Selection 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 reduction in cutting forces and thereby cutting power and 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.
ISSN:2278-3075
2278-3075
DOI:10.35940/ijitee.A4770.129219