Characterisation of basalt/glass/kevlar-29 hybrid fibre-reinforced plastic composite material through Nd: YAG laser drilling and optimisation using stochastic methods
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引用次数: 0
Abstract
A newly developed and hand layup hybrid FRP of Basalt, Glass and Kevlar-29 was considered for the characterisation of Nd: YAG laser drilling and optimisation using stochastic methods. Laser current (LC), pulse width (PW), stand-off distance (SoD), and compressed air pressure (CAP) were the laser parameters. The Box-Behnken designed laser drilling experiments were completed to characterise through hole taper angle and average overcut. The grey relational grade (GRG) of the responses was considered for optimisation using a genetic algorithm (GA), teaching learning-based optimisation (TLBO) and golden jackal optimisation (GJO). The predicted optimum setting was LC of 180 A, SoD of 1 mm and CAP of 8 kg/cm2. The GA & TLBO and GJO predicted PW of 3 ms with GRG of 0.9948 and 2.625 ms with GRG of 0.9203, respectively. The experimental verification of the predicted conditions acknowledges the predicted values of the responses with acceptable errors.
期刊介绍:
The aim of the Journal of Mechanical Science and Technology is to provide an international forum for the publication and dissemination of original work that contributes to the understanding of the main and related disciplines of mechanical engineering, either empirical or theoretical. The Journal covers the whole spectrum of mechanical engineering, which includes, but is not limited to, Materials and Design Engineering, Production Engineering and Fusion Technology, Dynamics, Vibration and Control, Thermal Engineering and Fluids Engineering.
Manuscripts may fall into several categories including full articles, solicited reviews or commentary, and unsolicited reviews or commentary related to the core of mechanical engineering.