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Probabilistic Sequential Prediction of Cutting Force Using Kienzle Model in Orthogonal Turning Process
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Probabilistic sequential prediction of cutting forces is performed applying Bayesian inference to Kienzle force model. The model uncertainties are quantified using the Metropolis algorithm of the Markov chain Monte Carlo ...
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