Prediction Algorithm for Solid State Diffusion Bonding in The Case When Material Constants Are Unknown : Surpport System of Optimum Condition of Solid State Joining Process(Physics, Process, Instrument & Measurements)

概要

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The purpose of the present study is to predict the diffusion bonding process of materials for which the model parameters (material constants) are unknown. Material constants are necessary for the numerical model developed, but the material constants are arranged into seven model parameters, except for the yield stress. We estimate the values of the seven parameters by inverse analysis. We propose the methods to choose the experimental conditions which we need for the inverse analysis. We also propose the algorithm to obtain the proper converged solutions of the unknown model parameters. We indicate that the solutions converge to true model parameters. Further, we show that bonding processes with unknown parameters can be predicted by our algorithm.
大阪大学の論文