Optimizing drilling parameters for unidirectional glass fiber/nanoclay-epoxy matrix composites using gray relational analysis and response surface methodology

被引:2
作者
Kiratli, Sakine [1 ]
Gokce, Huseyin [1 ]
机构
[1] Cankiri Karatekin Univ, Fac Engn, Mech Engn Dept, TR-18100 Cankiri, Turkiye
关键词
Nanoclay; Laminated composite; Drilling; Gray Relational Analysis (GRA); Response Surface Methodology (RSM); FIBER-REINFORCED COMPOSITES; CUTTING PARAMETERS; TEMPERATURE-MEASUREMENT; THRUST FORCE; DELAMINATION; OPTIMIZATION; BEHAVIOR; ROUGHNESS; MODELS; TOOL;
D O I
10.1007/s13726-024-01382-x
中图分类号
O63 [高分子化学(高聚物)];
学科分类号
070305 ; 080501 ; 081704 ;
摘要
In this innovative study, the drilling performances of laminated composites containing different ratios (0, 1, 3, and 5 wt% ) of nanoclay were examined and optimized using the Multi-Criteria Decision-Making method. Control factors included material (NC), feed rate (f), cutting speed (Vc), drill bit (D), were considered and an appropriate experimental design was made. Thrust force (Fc), cutting tool temperature (T), and delamination factor (Df) were determined as quality characteristics. Delamination in the holes was measured using imaging analysis, and a two-dimensional (2D) delamination factor based on the nominal diameter was calculated. As the nanoclay ratio increased, the Fc increased by over 50% due to the increase in friction and material strength. Conversely, as the drill tip angle decreased, a relative decrease was observed in the Fc and T values. According to the quality characteristics, NC was found to be the most effective control factor, with 65.53% and 70.74% for Fz and T, respectively, while D was found to be the most effective control factor with 41.23% for Df. Using Gray Relational Analysis, the optimum drilling parameters were found to be a pure composite material, a drill bit with a 90 degrees tip angle, 140 m/min cutting speed, and a 0.04 mm/rev feed rate. The results calculated with the mathematical models obtained using the Response Surface Method were tested with a series of verification experiments. The relative error values of the results obtained from these experiments and the results measured from the models were calculated as approximately 1% for Fz, nearly 0.54% for T, and almost 1.48% for Df. The results calculated with the mathematical models obtained using the Response Surface Method were tested with a series of verification experiments. The relative error values of the results obtained from these experiments and the results calculated from the models were calculated as approximately 1% for Fz, approximately 0.54% for T, and approximately 1.48% for Df.
引用
收藏
页码:413 / 431
页数:19
相关论文
共 47 条
[41]   Multi-response optimization of dry sliding wear parameters of AA6026 using hybrid gray relational analysis coupled with response surface method [J].
Gajalakshmi, K. ;
Senthilkumar, N. ;
Prabu, B. .
MEASUREMENT & CONTROL, 2019, 52 (5-6) :540-553
[42]   RETRACTED: Multiobjective Optimization of Mechanical Properties on Sisal-Glass Fiber-Reinforced Hybrid Composites Using Response Surface Methodology and LINGO Analysis (Retracted Article) [J].
Ragunath, S. ;
Shankar, A. N. ;
Meena, K. ;
Guruprasad, B. ;
Madhu, S. ;
Rakesh, N. ;
Hariprabhu, M. ;
Balamuralitharan, S. ;
Daniel, Nahom .
ADVANCES IN MATERIALS SCIENCE AND ENGINEERING, 2021, 2021
[43]   SURFACE ROUGHNESS PARAMETERS OPTIMIZATION IN MACHINING A356/SiC/20p METAL MATRIX COMPOSITES BY PCD TOOL USING RESPONSE SURFACE METHODOLOGY AND DESIRABILITY FUNCTION [J].
Palanikumar, K. ;
Muthukrishnan, N. ;
Hariprasad, K. S. .
MACHINING SCIENCE AND TECHNOLOGY, 2008, 12 (04) :529-545
[44]   Optimization and Enhancement of Tensile Strength and Elongation at Failure in Basalt/Glass Fiber Polymer Composites With MWCNTs + SiO2 Hybrid Nanofillers Using Response Surface Methodology [J].
Sathish, T. ;
Boobalan, V. ;
Giri, Jayant ;
Hourani, Ahmad O. ;
Santhosh, A. Johnson ;
Nasri, Faouzi .
ENGINEERING REPORTS, 2025, 7 (02)
[45]   Effects of dry turning parameters of Incoloy 800H superalloy using Taguchi-based Grey relational analysis and modeling by response surface methodology [J].
Palanisamy, A. ;
Jeyaprakash, N. ;
Sivabharathi, V ;
Sivasankaran, S. .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2022, 236 (01) :607-623
[46]   Modeling and optimization of machining parameters during grinding of flat glass using response surface methodology and probabilistic uncertainty analysis based on Monte Carlo simulation [J].
Ozturk, Sabri ;
Kahraman, Mehmet Fatih .
MEASUREMENT, 2019, 145 :274-291
[47]   Prediction of dry sliding wear behaviour of China clay particles reinforced AA6082 matrix composites using response surface methodology and analysis of the worn surfaces [J].
Bright, Renjin J. ;
Selvakumar, G. ;
Sumathi, M. .
SURFACE TOPOGRAPHY-METROLOGY AND PROPERTIES, 2022, 10 (01)