Research On Tool Replacement Strategy Considering Product Quality Information

The tool and the workpiece are an important part of the processing system.The two remove excess material during relative movement to complete the product production.The tool performance and product quality interact with each other.Therefore,the formulation of a tool replacement strategy should not only consider the changes in the performance of the tool itself,but also the product quality related to the process must be considered,and the replacement strategy that conforms to the actual project can be obtained by analyzing the interaction between the two during the processing process.In view of the current neglect of the mutual influence between the tool status and the quality of the processed product,and the deviation caused by the tool replacement strategy based on the single failure mode of the tool,this paper proposes a tool replacement model that integrates the interaction between the quality of processed products and the state of the tool,and the competitive relationship between tool degradation and sudden failure.The goal is to minimize the average cost of the replacement cycle,and takes the replacement cycle as a decision variable to complete the formulation of the tool replacement strategy,aiming to reduce losses,save costs and make production run smoothly.The research is as follows:Firstly,based on Bayes tool degradation model construction.The tool degradation model under the Wiener process was established based on historical information,and the deviation of the small sample data was considered,and the model parameters were corrected by Bayes theory.The normal-inverse Gaussian distribution is taken as the prior distribution under the Wiener process,combined with tool historical degradation data information to realize parameter estimation,combined with tool field data to obtain the Bayesian posterior distribution,and the AIC criterion is used to test the model fit.Secondly,the tool competition failure model is established.A tool sudden failure model was constructed based on Weibull distribution,and the Bayes Bootstrap method was introduced to expand the sample data on the basis of maximum likelihood estimation.The model parameters under small sample information were corrected for deviation,and the AIC criterion is used to test the fit of the model under the Bayes Bootstrap method.The tool degradation model is integrated,and the correlation between sudden tool failure and degradation process is considered,and the tool competition failure model is established.Finally,research on tool replacement strategy considering product quality.Considering the mutual influence between the performance of the tool and the quality of the processed product,the quality characteristic model of the processed product considering the degradation of the tool performance and the tool failure rate model under the influence of the quality of the processed product are established respectively,and then the tool competition failure model considering the quality of the processed workpiece is obtained.Comprehensive cost factors,establish a tool replacement strategy model,and take the minimum replacement cycle average cost as the goal,and the replacement cycle as the decision variable to complete the formulation of the tool replacement strategy.