An integrated approach of CCD-TOPSIS-RSM for optimizing the marine grade GFRP drilling process parameters

被引:11
作者
Bhat, Ritesh [1 ]
Mohan, Nanjangud [1 ]
Sharma, Sathyashankara [1 ]
Shandilya, Madhukar [1 ]
Jayachandran, Krishnanunni [2 ]
机构
[1] Manipal Acad Higher Educ, Manipal Inst Technol, Mech Engn, Manipal 576104, Karnataka, India
[2] Manipal Univ Jaipur, Mech Engn, Fac Engn, Jaipur 303007, Rajasthan, India
关键词
GFRP composites; Drilling; Technique for order of preference by similarity to ideal solution (TOPSIS); Response surface method; Analysis of variance (ANOVA); THRUST FORCE; OPTIMIZATION; DELAMINATION; COMPOSITES;
D O I
10.1016/j.matpr.2019.07.214
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This article aims to optimize the drilling process parameters using an integrated approach of the central composite design (CCD), the technique for order of preference by similarity to ideal solution (TOPSIS) and response surface method (RSM) to reduce delamination in the marine grade glass fiber reinforced polyester (GFRP) drilling. Marine grade GFRP composite laminates of 6, 8 and 10 mm thickness were made using E-glass fiber and isophthalic resins. Drilling experiments were conducted using 10 mm high-speed steel (HSS) drills on the specimen as per the central composite design framework with a face center value of unity. The process parameters speed (600, 1050 and 1500 rpm) and feed (0.1, 0.3 and 0.5 mm/rev) were considered as the control variables along with the material thickness. TOPSIS technique is used to optimize the process control parameters: speed, feed and material thickness based on four output performance characteristics: thrust force, torque, entry delamination and exit delamination. Analysis of variance (ANOVA) with a 99% confidence interval is used to determine the significant main and interaction effects with the corresponding percentage contribution of the drilling parameters. The experimental results indicate feed to be the most influential factor in the drilling of marine grade glass fiber reinforced polyester composites contributing 70.38% to the variation in the overall performance index, represented by the TOPSIS grade (TG). (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:307 / 311
页数:5
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