Statistic Modeling and Optimization of the Track in Plasma Cladding Process

摘要

A single cladding track with good surface is the premise of preparation of a good coating in plasma cladding process. Generally, the available domain for the match of factors (ADMF) is not clear for a specific set-up system. The ADMF of principle operational factors (current of the transferred arc P, powder feeding rate F, and scanning speed S) was primarily detected by a discriminant model of mahalanobis distance. To predict and control the geometric features (height, width, and surface finish) of a single plasma cladding track, Uniform design and stepwise regression analysis were applied to build statistic models. These statistic models were confirmed by experiments. A coating with designed size was prepared based on the statistic models.