With the widespread application of digital processes in the manufacturing industry,how to efficiently utilize the accumulated process knowledge has become the key to enhancing the efficiency and quality of process design.However,there are technical bottlenecks in acquiring,describing,and transforming tacit process knowledge,hindering the adoption of the intelligent process design mode.Therefore,a method of acquiring tacit process knowledge for processing complex parts was proposed.Firstly,the equal-width method was employed to discretize the structured process data,a text mining based tacit process knowledge acquisition process was constructed,and tacit process knowledge was expressed through production rules.Then,a knowledge reasoning method was proposed,which combined case-based reasoning and rule-based reasoning.The recognition of tacit process knowledge was achieved using the nearest neighbor algorithm.Finally,the method for acquiring processing tacit process knowledge was effectively validated using complex machining parts of marine diesel engine cylinder heads as the verification object.
维普
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