Method for predicting energy consumption of CNC milling machine based on time parameters

Abstract

The invention discloses a method for predicting the energy consumption of a CNC milling machine based on time parameters. The method includes the steps that (a) an energy consumption prediction model is established for the machining process of the CNC milling machine; (b) the no-load power, the additional power, the cutting power and the feeding power of a feed shaft of each component process are detected, and meanwhile the time parameters including the idle time of a main transmission system, the milling time and the working time of the feed shaft are acquired respectively through NC codes; (c) all the obtained power parameters and the obtained time parameters are substituted into the energy consumption prediction model, and the overall energy consumption prediction technological process is correspondingly executed. By the adoption of the method, the energy consumption prediction process of the CNC milling machine can be rapidly and accurately realized only by inputting the cutting data and the time parameters of each process, the method is high in feasibility, and optimization and support can be provided for solving a series of problems of process selection, energy consumption prediction, energy consumption evaluation, energy saving and emission reduction of the machine and the like in workpiece machining process of the CNC milling machine.

Description

technical field [0001] The invention belongs to the technical field of milling, and more particularly relates to a method for predicting energy consumption of a numerically controlled milling machine based on time parameters. Background technique [0002] The process of machining is a process of continuous energy consumption. In the process of processing, people often only start from obtaining satisfactory product quality, pay attention to the processability and craftsmanship of the product, and ignore the energy consumption problem in the process of processing the product. Under the background of the current era of energy saving, emission reduction and green environmental protection, a large number of international organizations, universities and business groups have conducted in-depth research on the energy consumption in the machining process of machine tools. In our country, machine tools are the main body of machining, which has a large amount of machining and huge ene...

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Problems solved by technology

[0004] However, further studies have shown that the above-mentioned existing technologies mainly focus on the energy consumption prediction and calculation of CNC lathes, but do not involve CNC milling machines.

In fact, for the machining process of CNC milling machine, because the energy consumption of the workpiece is usually composed of many complex factors, the energy consumption and flow in the machining process are extremely complex and change dynamically with the change of the machining environment and machining parameters. Moreover, the working time of each feed axis is difficult to obtain accurately due to the difference in tool path, so it is often more difficult to perform energy consumption calculation and prediction operations in practice

In particular, the existing technology does not provide an easy-to-operate method for the acquisition of time parameters in the processing process, especially the acquisition of the time parameters of the feed system, resulting in poor implementability in practice and relatively difficult operation. difficult and time consuming

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