Fuzzy Logic Model System for Prediction of Process Parameters by Plasma Assisted Diffusion Bonding of Dissimilar Alloys
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In this study, dissimilar materials such as commercially pure titanium and austenitic stainless steel (304 L grade) was diffusion bonded using plasma assisted sintering process. The generic approach of response surface methodology based central composite design was employed to perform the experiments. The influences of sintering parameters viz., bonding temperature (T), applied pressure (P) and holding time (t) on the quality and performance characteristics of specimens are merely non-linear in nature. Therefore, the rule-based fuzzy logic intelligent modelling was employed to predict the shear strength and interface hardness of bonded specimens. It is evident that the developed fuzzy logic model is greatly comparable with the experimental results. The result of the study shows the adequacy of the developed fuzzy logic approach for the effective prediction of the responses in diffusion bonding process.
KeywordsDiffusion bonding Plasma- assisted sintering techniques Fuzzy logic Shear strength Interface hardness
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