Multi objective optimization of CFRP Composite Drilling Using Ant Colony Algorithm

被引：18

作者：

Sankar, B. Ravi ^{[1
]}

Umamaheswarrao, P. ^{[1
]}

机构：

[1] Bapatla Engn Coll, Dept Mech Engn, Bapatla 522102, AP, India

来源：

MATERIALS TODAY-PROCEEDINGS | 2018年 / 5卷 / 02期

关键词：

CFRP composite; ACO; Surface Roughness; Thrust Force; Delamination;

D O I：

10.1016/j.matpr.2017.12.061

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Carbon fiber reinforced composites (CFRP) found many applications due to its adequate tensile strength, good specific modulus and unique physical properties. Drilling was the frequently used machining process for CFRP composites. The CFRP drilling process poses several hurdles owing to their layered structure. The performance of drilling was studied through the measurement of thrust force, surface roughness and delamination factor. The performance characteristics were more sensitive to the parameters namely cutting speed, depth of cut, feed and point angle. However the effective drilling was achieved with the optimisation of the process parameters. Hence the present work is aimed to optimize the CFRP drilling process using Ant Colony Algorithm (ACO) as a tool. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：4855 / 4860

页数：6

共 21 条

[1] Multi-objective optimization in drilling of CFRP (polyester) composites: Application of a fuzzy embedded harmony search (HS) algorithm
Abhishek, Kumar
Datta, Saurav
Mahapatra, Siba Sankar
[J]. MEASUREMENT, 2016, 77 : 222 - 239
[2] Abhishek Kumar, 2014, INT J ADV MANUFACTUR
[3] Abrate S., 1997, MACHINING COMPOSITES
[4] [Anonymous], 2002, POLYM MATRIX COMPOSI
[5] Bhatnagar N., 1993, Mater. Manuf. Processes, V8, P683, DOI DOI 10.1080/10426919308934873
[6] Ant colony optimization theory: A survey
Dorigo, M
Blum, C
[J]. THEORETICAL COMPUTER SCIENCE, 2005, 344 (2-3) : 243 - 278
[7] Eberhart R., 1995, MHS95 P 6 INT S MICR, DOI [DOI 10.1109/MHS.1995.494215, 10.1109/MHS.1995.494215]
[8] The influence of surface roughness on the mechanical strength properties of machined short-fibre-reinforced thermoplastics
Eriksen, E
[J]. COMPOSITES SCIENCE AND TECHNOLOGY, 2000, 60 (01) : 107 - 113
[9] Kennedy J, 1995, 1995 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS PROCEEDINGS, VOLS 1-6, P1942, DOI 10.1109/icnn.1995.488968
[10] Application of grey fuzzy logic for the optimization of drilling parameters for CFRP composites with multiple performance characteristics
Krishnamoorthy, A.
Boopathy, S. Rajendra
Palanikumar, K.
Davim, J. Paulo
[J]. MEASUREMENT, 2012, 45 (05) : 1286 - 1296

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