Study On Microplasma Oxidation Technology Of Aluminium Alloy And The Modeling By Use Of Adaptive Neural Fuzzy Inference System

Microplasma oxidation technology of aluminium alloy is a new surface treatment way for non ferrous alloy. It is to put some non ferrous alloy such as Al,Mg,Ti to the special electrolytes to form a layer of ceramic film in-situ on metal surface based on the reaction of thermochemistry, electrochemistry and plasmachenmistry.The ceramic film with different properties can be got by control of composition and its concentration, temperture, of electrolyte ,electric current density and treat time. Our research group has made a series of study on four types of electrolytes.This sdtudy is only on the silicate electrolyte system. It includes the orthogonal testing for main substance concentration and additive in electrolyte to optimizing the composition of electrolyte.Then the relationship of thickness and microhardness of films vs treat time with different current density and treat temperature are tested. Based on the experiment data by use of adaptive neural fuzzy inference system a model was built. This method can get fuzzy regular automtically from experiment data and it can be modified from the input and the output data by "constructure study " and " parameter study", the precision of model within 10% checked by experiment data.The model can be expressed the relation of films thickness and microhardness vs time with different temperature and electric current density. The precision of model within 10% is also proved by use of a holder casting in the same condition in experiment.So the model can be used for the control of treat process or to estimate the films thickness and microhardness based on electric current density and treat time in case of electrolytes concentration is fixed.