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Numerical control machine tool energy consumption modeling and machining process optimization method

A technology of CNC machine tools and processing processes, applied in simulators, program control, computer control, etc., can solve problems such as lack of energy consumption models

Active Publication Date: 2020-05-15
SHANGHAI JIAO TONG UNIV
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, relevant researches are concentrated on three-axis machine tools, but there is a lack of relevant research on the energy consumption model of the additional two rotary axes of five-axis machine tools

Method used

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  • Numerical control machine tool energy consumption modeling and machining process optimization method
  • Numerical control machine tool energy consumption modeling and machining process optimization method
  • Numerical control machine tool energy consumption modeling and machining process optimization method

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Experimental program
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Embodiment

[0085] Step 1. Through the energy consumption modeling experiment, collect the energy consumption data under no-load conditions and during milling processing, and use outlier elimination and mean filtering to denoise the collected data. The energy consumption data can be connected to the power Obtained by the measuring equipment, the measured power curve is as figure 2 shown;

[0086] Step 2, use the energy consumption data in the non-processing state to fit the no-load energy consumption model of the machine tool, that is, establish the energy consumption model of the spindle, feed axis, and auxiliary functional components, and measure the basic energy consumption of the machine tool.

[0087] Step 3, constructing a milling model based on a gradient enhanced regression tree;

[0088] Step 4, by superimposing the no-load power and milling power models under the corresponding process parameters to obtain the real-time power of the machine tool, the model prediction effect is ...

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Abstract

The invention provides a numerical control machine tool energy consumption modeling and machining process optimization method which comprises the following steps: a data acquisition step: acquiring energy consumption data according to an energy consumption modeling experiment; establishing a no-load power model: fitting the machine tool no-load power model according to the energy consumption data,and measuring the machine tool no-load energy consumption; establishing a milling power model, namely training the milling power model according to a gradient boosting regression tree algorithm and the energy consumption data; a real-time power prediction step: superposing the no-load power and the milling power; a machining parameter optimization step: establishing a machining parameter optimization model by taking the machining cutting specific energy and the machining time as target functions, and solving the machining parameter optimization model; and a machining sequence optimization step: establishing a machining sequence optimization model by taking the sum of adjacent idle feed energy consumption as a target, and carrying out constraint. Energy-saving and efficient manufacturing is achieved. A numerical control machine tool energy consumption model is constructed through combination of formula fitting and a machine learning method, high prediction precision is achieved, and better generalization performance is achieved.

Description

technical field [0001] The invention relates to the field of green manufacturing, in particular to a method for modeling energy consumption of a numerically controlled machine tool and optimizing a machining process. Background technique [0002] From the perspective of processing status, CNC machine tools will go through multiple stages such as start-up, standby, no-load operation, processing, and shutdown, and each stage corresponds to different energy consumption subsystems. Modeling is a difficult and challenging job. In order to cope with increasingly serious international problems such as rising energy prices, resource shortages, global warming, and environmental pollution, it is necessary to improve energy utilization and production efficiency in manufacturing. [0003] At present, the research on the energy consumption of CNC machine tools is focused on the research on the energy consumption of material removal in the machining process, that is, in the actual millin...

Claims

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Application Information

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IPC IPC(8): G05B19/408
CPCG05B19/4083G05B2219/35356Y02P70/10
Inventor 毕庆贞陈韬
Owner SHANGHAI JIAO TONG UNIV
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