An energy modeling and evaluation approach for machine tools using generalized stochastic Petri Nets

Abstract Lower production cycle time and higher energy efficiency have become a paramount requirement for machining processes under global competition. A formalized method to assess multiple performance indicators (e.g. production time, energy consumption) of machine tools for comparable analysis of production data is indispensable given the increasing scrutiny of manufacturing systems. A novel energy consumption model based on Generalized Stochastic Petri Nets is proposed and an analysis method is also presented. Furthermore the model was successfully applied to a turning machine tool. The main trend of energy consumption and other related indicators of studied machine tool are then compared and the optimal parameters for energy efficiency are discussed under various cutting parameters and different production plans.

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