Experimental evaluation and prediction on drilling of <i>Corchorus olitorius</i> filler-based composite
Vijay Kumar Mahakur, Sumit Bhowmik, Promod Kumar Patowari
Abstract
Naturally derived fibers/fillers-based polymers have gained much attention in many industrial applications due to the requirement for renewable and biodegradable components. Machining is sometimes needed to simplify the assembly of pieces in a finished product. Here, this article reports how drill machining affects polymer composites made with 5 wt.% jute filler that has undergone alkaline treatment. The experimental tests have been conducted to explore the impact of tool bit diameter, cutting speed and feed on the various generated responses (thrust force, surface roughness, delamination peel-up and delamination push-out). The results reveal that the appropriate responses are achieved when the cutting speed of the tool is at its maximum while the feed and tool diameter are at their minimal amounts. The response surface methodology (RSM) and support vector machine (SVM) algorithms have been devised to anticipate the drilling performance of produced composites, and both strategies have shown high agreement with experimentally acquired findings. However, the ML tool algorithm proven more reliable than RSM models because of the superior correlation of determination coefficients.