Optimizing drilling parameters for minimizing delamination in polypropylene-date palm fiber bio-composite materials

Abstract

This study examines the ability to machine a type of bio-composite material made up of polypropylene reinforced with date palm fibers. The focus is on how drilling affects the delamination of the material at the entry and exit points of the hole. The impact of three drilling parameters (spindle speed, drill size, and feed rate) on the quality of the holes, as measured by the delamination factor, is analyzed. The research was conducted experimentally based on the design of experiment method, and data were analyzed using statistical techniques such as analysis of variance (ANOVA), response surface modeling (RSM), fuzzy logic (FL), and artificial neural network (ANN). The design expert software was also used to identify the optimal values for the machining parameters that minimize delamination. The results indicate that delamination caused by drilling is primarily influenced by drill bit diameter, with a threefold greater impact than feed rate. This bio-composite material may have potential for use in industrial applications where joining parts is necessary for product design and assembly.