Taguchi based fuzzy logic model for optimisation and prediction of surface roughness during AWJM of DRCUFP composites

From last two decades, plant fiber reinforced polymer/polyester composites have been effectively used in structural and automotive applications. Researchers manufacturers are looking forward for an effective utilization of these composites. However, despite the outstanding properties terms load bearing capacity environmental sustainability fibers uptake limited due to its poor machinability characteristics. Hence this paper, Taguchi based fuzzy logic model optimization prediction process output variable such as surface roughness during Abrasive Water Jet Machining (AWJM) new class polyester i.e., Discontinuously Reinforced Caryota Urens Fiber Polyester (DRCUFP) has explored. Initially machining experiments carried out using L 27 orthogonal array obtained from Design Experiments (TDOE). Finally, developed optimisation roughness. extensive experimentation TDOE it was observed that optimum cutting conditions obtaining minimum value, water pressure (A): 300 bar, traverse speed (B): 50 mm, stand distance: 1 abrasive flow rate: 12 g/s, depth cut (C): 5 mm Size:200 microns. Further FLM, is 100 8 size:100 microns gave higher values (3.47 microns) than at maximum 150 4 15 size:200 (3.25 microns).