Investigation of drilling parameters on hybrid polymer composites using grey relational analysis, regression, fuzzy logic, and ANN models

Abstract

Among many machining operations, drilling has become one of the important machining operations performed in polymer composites. The quality of the drilled hole is closely associated with the drilling parameters and conditions. The current work focuses on the optimization of multiple response characteristics during drilling of hybrid glass fiber reinforced polymeric nanocomposites. Taguchi's L25, orthogonal array is used to conduct the experiments and for optimization of the process parameters. The machining parameters such as spindle speed, feed rate, and drill diameter are optimized for the response which includes delamination, thrust force and torque via grey relational analysis technique. From the grey relational grade analysis, it is clear that the drill diameter is the most influencing factor followed by the feed rate and the spindle speed. The optimized process parameter settings were found as spindle speed of 2700 rpm, the feed rate of 30 mm/ min and drill diameter of 4 mm, respectively, for lower delamination, torque and thrust force. Among the various modeling techniques used, ANN is found to be suitable for the process with minimum error percentage of 0.526.

Optimization and Modeling of Process Parameters in Multi-Hole Simultaneous Drilling Using Taguchi Method and Fuzzy Logic Approach

“…Recently, artificial intelligence techniques have been acknowledged as effective and alternative ways for modeling many engineering or other systems precisely [10]. One of these techniques is fuzzy logic, which works on mathematical theory combining multivalued logic and probability theory to overcome complex problems [11].…”

Experimental influence of twist angle and cryogenic gas on quality of drilled hole in carbon fiber reinforced plastic composites

“…16 The multi-objective optimization has been studied to analyze the thrust force, the feed rate, the tool wear, and the delamination factor. [17][18][19][20] New technologies such as ultrasonic-assisted have been applied in the machining process to improve the quality product. The surface is better when using cold air.…”

Modeling and evolutionary computation on drilling of carbon fiber-reinforced polymer nanocomposite: an integrated approach using RSM based PSO

“…Additionally, numerous authors have proposed the entry and exit delamination influence factors [18], and the thrust force [19][20][21], torque [22] and surface roughness [23,24] have been discussed. Moreover, using statistical techniques such as the Taguchi method [25,26], response surface methodology (RSM) [27,28], gray relational analysis (GRA) and corresponding hybrid methods [29][30][31] were proposed by many authors to obtain high-quality holes using drilling. Although many researchers widely used statistical optimization techniques to solve multiobjective optimization problems simultaneously, the solutions provided by the statistical techniques are often discrete combinations of a predetermined level of process parameters, and sometimes, these combinations may not be optimum.…”