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Published in:
Introduction to Advanced Manufacturing Processes and Optimization Methodologies Read chapter Read first chapter

2021 | OriginalPaper | Chapter

8. Optimization of Micro Drilling of CFRP Composites for Aerospace Applications

Authors : Apoorva Shastri, Aniket Nargundkar, Anand J. Kulkarni

Published in: Socio-Inspired Optimization Methods for Advanced Manufacturing Processes

Publisher: Springer Singapore

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Abstract

In this chapter, variations of Cohort Intelligence (CI) algorithm have been applied for the minimization of cutting forces in \({\text{x}},\;{\text{y }}\;{\text{and }}\;{\text{z }}\) directions induced in micro drilling of carbon fiber reinforced plastic (CFPR) composite materials for aerospace applications.

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previous chapter Optimization of Micro Drilling Process
next chapter Optimization of Micro-turning Process
Literature
1.
Abhishek K, Datta S, Mahapatra SS (2015) Optimization of thrust, torque, entry, and exist delamination factor during drilling of CFRP composites. Int J Adv Manuf Technol 76(1–4):401–416
2.
Abhishek K, Kumar VR, Datta S, Mahapatra SS (2017) Parametric appraisal and optimization in machining of CFRP composites by using TLBO (teaching–learning based optimization algorithm). J Intell Manuf 28(8):1769–1785CrossRef
3.
Abhishek K, Kumar VR, Datta S, Mahapatra SS (2017) Application of JAYA algorithm for the optimization of machining performance characteristics during the turning of CFRP (epoxy) composites: comparison with TLBO, GA, and ICA. Eng Comput 33(3):457–475CrossRef
4.
Anand RS, Patra K (2018) Cutting force and hole quality analysis in micro-drilling of CFRP. Mater Manuf Processes 33(12):1369–1377CrossRef
5.
Dhavle SV, Kulkarni AJ, Shastri A, Kale IR (2018) Design and economic optimization of shell-and-tube heat exchanger using cohort intelligence algorithm. Neural Comput Appl 30(1):111–125CrossRef
6.
Gulia V, Nargundkar A (2019) Optimization of process parameters of abrasive water jet machining using variations of Cohort Intelligence (CI). In: Applications of artificial intelligence techniques in engineering. Springer, Singapore, pp 467–474
7.
Guo YB, Dornfeld DA (1999) Finite element modeling of burr formation process in drilling 304 stainless steel. J Manuf Sci Eng 122(4):612–619CrossRef
8.
Krishnaraj V, Prabukarthi A, Ramanathan A, Elanghovan N, Kumar MS, Zitoune R, Davim JP (2012) Optimization of machining parameters at high speed drilling of carbon fiber reinforced plastic (CFRP) laminates. Compos B Eng 43(4):1791–1799CrossRef
9.
Kulkarni AJ, Durugkar IP, Kumar M (2013) Cohort intelligence: a self supervised learning behavior. In: 2013 IEEE international conference on systems, man, and cybernetics. IEEE, pp 1396–1400
10.
Miyake T, Yamamoto A, Kitajima K, Tanaka Y, Takazawa K (1991) Study on mechanism of burr formation in drilling: deformation of material during burr formation. J Japan So Precision Eng 57(3):485–490CrossRef
11.
Pahuja R, Ramulu M (2019) Surface quality monitoring in abrasive water jet machining of Ti6Al4V–CFRP stacks through wavelet packet analysis of acoustic emission signals. Int J Adv Manuf Technol 104(9–12):4091–4104CrossRef
12.
Patankar NS, Kulkarni AJ (2018) Variations of cohort intelligence. Soft Comput 22(6):1731–1747CrossRef
13.
Shastri AS, Thorat EV, Kulkarni AJ, Jadhav PS (2019) Optimization of constrained engineering design problems using cohort intelligence method. In: Proceedings of the 2nd international conference on data engineering and communication technology. Springer, Singapore, pp 1–11
14.
Shikata H, DeVries MF, Wu SM, Merchant ME (1980) An experimental investigation of sheet metal drilling. CIRP Ann 29(1):85–88CrossRef
15.
Takeyama H, Kato S, Ishiwata S, Takeji H (1993) Study on oscillatory drilling aiming at prevention of burr. J Japan Soc Precision Eng 59(10)
16.
Wu CQ, Gao GL, Li HN, Luo H (2019) Effects of machining conditions on the hole wall delamination in both conventional and ultrasonic-assisted CFRP drilling. Int J Adv Manuf Technol 104(5–8):2301–2315
17.
Zhang Y, Wu D, Chen K (2019) A theoretical model for predicting the CFRP drilling-countersinking thrust force of stacks. Compos Struct 209:337–348CrossRef
Metadata
Title
Optimization of Micro Drilling of CFRP Composites for Aerospace Applications
Authors
Apoorva Shastri
Aniket Nargundkar
Anand J. Kulkarni
Copyright Year
2021
Publisher
Springer Singapore
Book
Socio-Inspired Optimization Methods for Advanced Manufacturing Processes

Print ISBN: 978-981-15-7796-3

Electronic ISBN: 978-981-15-7797-0

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-7797-0_8

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