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Machine tool cutting amount energy consumption optimization method based on adaptive genetic algorithm

A technology of genetic algorithm and optimization method, applied in genetic rules, data processing applications, calculations, etc., can solve problems such as low energy utilization efficiency of machine tools and large energy saving potential

Inactive Publication Date: 2016-08-10
JIANGNAN UNIV
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  • Summary
  • Abstract
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Problems solved by technology

However, a large number of studies have shown that the energy utilization efficiency of machine tools in my country is very low, with an average of less than 30%, and some even as low as 14.8%, so the potential for energy saving is huge.

Method used

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  • Machine tool cutting amount energy consumption optimization method based on adaptive genetic algorithm
  • Machine tool cutting amount energy consumption optimization method based on adaptive genetic algorithm
  • Machine tool cutting amount energy consumption optimization method based on adaptive genetic algorithm

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Embodiment Construction

[0057] The present invention will be further described below in conjunction with drawings and embodiments. Concrete implementation steps of the present invention are as follows:

[0058] (1) Determine the model optimization variables.

[0059] In the optimization design, its essence is to make the target to be optimized reach the optimum by changing the design variables. In the cutting optimization mathematical model, three elements of cutting processing: cutting speed v c , Feed amount f, back cutting amount a p These are the three most active and independent variables that affect carbon emissions and energy consumption during processing. Since in NC programming a p is determined by the user according to the machining allowance, v c It is determined by the spindle speed n and the cutting diameter. However, n and f are generally recommended by the system or determined by the user based on experience and cutting manuals. Therefore, a p It can be determined by the user a...

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Abstract

The invention discloses a method for optimizing cutting consumption and energy consumption of a machine tool based on an adaptive genetic algorithm, comprising the following steps: 1) a step of determining model optimization variables; 2) a step of determining an optimization objective function; 3) a step of determining constraint conditions in the model; 4 ) using an adaptive genetic algorithm to determine the cutting amount. The advantages of the present invention are: because the present invention adopts the self-adaptive genetic algorithm scheme, it is more reasonable in the selection of the cutting amount, effectively improves the utilization efficiency of the machine tool, and reduces energy consumption.

Description

technical field [0001] The invention provides a method for optimizing the energy consumption of the cutting amount of a machine tool, relates to the problem of energy-saving optimization of processing parameters of a discrete manufacturing system, and belongs to the field of mechanical processing. Background technique [0002] With the current energy crisis and environmental problems becoming more and more serious, many countries have regarded energy conservation and emission reduction as a key national strategy. Today, with the rapid development of manufacturing industry, the degree of automation is getting higher and higher. While it brings us great convenience, it also causes us huge energy consumption, especially in discrete manufacturing. my country ranks first in the world in the number of machine tools in the discrete manufacturing system, about 7 million units. However, a large number of studies have shown that the energy utilization efficiency of machine tools in ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N3/12
CPCG06Q10/04G06N3/126
Inventor 王艳彭竹清纪志成
Owner JIANGNAN UNIV
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