Abstract
The machining accuracy prediction has been widely studied in many manufacturing processes to achieve efficient control for production process. In this paper, a dynamic analysis model is proposed to develop the prediction model of machining accuracy. The dynamic analysis model has the advantage of high predictable power of the GM(1,1) model while at the same time utilizing the prediction power of the Markov chain model from stochastic process theory. Furthermore, Taylor approximation method is employed to enhance the prediction accuracy. The effectiveness of the proposed model is validated with a real case.
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