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Fuzzy Logic Based Model For Predicting Surface Roughness Of Machined Al-Si-Cu-Fe Die Casting Alloy Using Different Additives-Turning
Faculty of Engineering University of Malaya
This paper presents a fuzzy logic artificial intelligence technique for predicting the machining performance of Al-Si-Cu-Fe die casting alloy treated with different additives including strontium, bismuth and antimony to improve surface roughness. The Pareto-ANOVA optimization method was used to obtain the optimum parameter conditions for the machining process. Experiments were carried out using oblique dry CNC turning. The machining parameters of cutting speed, feed rate and depth of cut were optimized according to surface roughness values. The results indicated that a cutting speed of 250 m/min, a feed rate of 0.05 mm/rev, and a depth of cut of 0.15 mm …
The Wear Behavior Of Cross-Linked Uhmwpe Under Dry And Bovine Calf Serum-Lubricated Conditions
The Wear Behavior Of Cross-Linked Uhmwpe Under Dry And Bovine Calf Serum-Lubricated Conditions
A.S. Md Abdul Haseeb
The present study was performed to investigate the effects of gamma radiation on the wear behavior of unirradiated and irradiated ultra-high-molecular-weight polyethylene (UHMWPE) against Ti-6Al-4V under dry and lubricated conditions at different applied loads. The UHMWPE specimens were exposed directly to nominal doses of 0, 25, 40, 50, and 100 kGy. Scanning electron microscope (SEM) analysis of the worn surface of UHMWPE and Ti-6Al-4V was performed to understand the mechanism of wear involved between the contact surfaces during wear testing. From the wear test results, there were significant differences between the wear of unirradiated UHMWPE and UHMWPE irradiated at 25, …