A hybrid driven approach to integrate surrogate model and Bayesian framework for the prediction of machining errors of thin-walled parts
Hao Sun, Fangyu Peng, Lin Zhou, Rong Yan, Shengqiang Zhao
Topics & Concepts
MachiningSurrogate modelBayesian probabilityCalibrationComputer scienceKrigingData-drivenAlgorithmBayesian inferenceEngineeringMachine learningArtificial intelligenceMechanical engineeringMathematicsStatisticsAdvanced machining processes and optimizationManufacturing Process and OptimizationInjection Molding Process and Properties