Energy consumption prediction method for use in service process of numerically-controlled machine tool

Abstract

The invention provides an energy consumption prediction method for use in the service process of a numerically-controlled machine tool specific to the current situation of the lack of an energy consumption prediction method for a numerically-controlled machine tool. In the method, an energy prediction model for use in the service process of a numerically-controlled machine tool based on energy prediction of three types of sub-processes such as starting, idle load and processing on the basis of energy consumption characteristic analysis for the service process of the numerically-controlled machine tool. The energy prediction model for every type of sub-process is resolved respectively, so that an energy consumption prediction result of an entire numerically-controlled machine tool service process is obtained. According to the method, the energy consumption of a machine tool processing process can be predicted directly according to numerical control processing technic parameters.

Description

technical field [0001] The invention belongs to the technical field of machine tool control, and in particular relates to a new method for predicting energy consumption in the service process of a numerically controlled machine tool. [0002] Background technique [0003] The mechanical processing system with machine tools as the main body has a large volume and wide range, and has great potential for energy saving and environmental emission reduction; the energy consumption prediction of machine tools is an important part of the energy consumption problem in the process of machine tool processing. For the formulation of energy consumption quotas, cutting process parameters A series of issues such as energy-saving optimization have an important supporting role; therefore, research on the energy consumption prediction problem in machine tool processing is rapidly rising around the world. Li, W et al. established an energy prediction model under processing conditions, and ver...

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Problems solved by technology

Li, W et al. established an energy prediction model under processing conditions, and verified the reliability and accuracy of the model through experiments [3]; Dietmair A et al. proposed a statistically based discrete The general modeling method of machine tool and factory energy consumption formulated by time, this method can be directly used in the planning process to predict the energy consumption of different configurations in different scenarios [4]; but these methods do not take into account the complex nature of machine tools Additional load loss power; Gutowski et al. also conducted a series of analyzes on processing environmental factors and introduced the theoretical energy consumption model of the processing process [5, 6], but he did not define each parameter clearly,

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