Optimization of AWJM Process on Processing of Lite Bamboo Reinforced Polymer Composite by Using Grasshopper Algorithm

Abstract

AbstractGreen composites are extensively used in wide range of applications like construction, textiles, packaging, automobile, and aerospace industries etc. due to their unique chemical and mechanical properties. This paper presents study and optimization of abrasive water jet machining (AWJM) process on processing of lite bamboo reinforced polymer (LBRP) composites by using grasshopper optimization algorithm (GOA). Further, the experimentation is performed based on Taguchi (L-9) orthogonal array to assess the AWJM processing variables like material removal rate (MRR) and surface roughness (SR) to changes in the independent variables like stand of distance (SOD), nozzle speed (NS), working pressure (WP). In addition, grasshopper optimization (GOA) is used to optimize the AWJM process variables on machining of LBRP composites. At last, parametric analysis is done to predict the statistical significance of independent variables on dependent variables of AWJM process. The optimum process variable setting is obtained exp. No. 9 with optimal condition is SOD as 1.5 mm WP as 150 Mpa and NS as 150 mm/min and the corresponding response conditions are obtained as MRR is 58.442 g/s, and SR is 0.169 µm. Parametric analysis results show that the process variables SOD and NS are most influencing variables on MRR and SR of AWJM process on LBRP composite.KeywordsLBRP compositesAWJMTaguchi methodOptimizationParametric analysis