Method for predicting workpiece machining energy consumption based on geometrical characteristics

Abstract

The invention discloses a method for predicting workpiece machining energy consumption based on geometrical characteristics. The method comprises the steps that a workpiece CAD model is split to establish a characteristic tree according to geometrical characteristic information integrated in the CAD model and geometrical characteristic categories and a hierarchical relation of the geometrical characteristic categories are expressed through the characteristic tree; a workpiece geometrical characteristic matter-element model is established according to a matter-element method, the geometrical characteristics and a machining mode of a workpiece are extracted from the matter-element model, a mapping relation is established, a workpiece machining energy consumption model based on the geometrical characteristics is established with the combination of the energy consumption characteristics of energy consumption components of a machine tool in the machining process, and operation parameters corresponding to the energy consumption components of the numerical control machine are obtained by analyzing an NC code of the geometrical characteristics; parameter information is substituted into the energy consumption model, an energy consumption value for machining of the geometrical characteristics is calculated, and the overall energy consumption in the workpiece machining process is obtained by summation of energy consumption of the geometrical characteristics. The method is conducted according to the energy consumption property of the geometrical characteristics of the workpiece, and energy consumption prediction in the workpiece machining process can be conducted according to the split geometrical characteristics.

Description

technical field [0001] The invention relates to the field of mechanical manufacturing and processing, in particular to a method for predicting energy consumption of workpiece processing based on geometric features. Background technique [0002] The machining process is mainly to process blanks or workpieces of metal or other materials to obtain the required geometric shape, dimensional accuracy and surface quality. With the advancement of a series of manufacturing models such as energy-efficient manufacturing and low-carbon manufacturing that reduce energy consumption in the manufacturing process and reduce environmental emissions, the implementation of energy-saving optimization has become the development trend of the machinery manufacturing industry. Prediction of workpiece energy consumption in machining process is one of the first steps to reduce energy consumption and improve energy efficiency. In recent years, it is rapidly rising at home and abroad and has gradually b...

AI Technical Summary

Problems solved by technology

CN102621932A discloses "A Method for Predicting Energy Consumption in the Serving Process of CNC Machine Tools". The disclosed scheme is to divide the service process of CNC machine tools into three sub-processes: start-up, no-load and processing according to the workpiece processing technology, and carry out energy consumption for each sub-process. Consumption prediction, this method is only suitable for detailed workpiece processing information, and requires manual division of the service process

[0004] In the existing prediction methods, the workpiece energy consumption prediction mainly obtains the main power and process parameters in the machining process of the machine tool through experimental measurement, and then uses the model formula to estimate the workpiece energy consumption. method

Images