Multi-target optimization method for numerical control machining technological parameters facing energy efficiency

A multi-objective optimization and processing technology technology, which is applied in the field of process parameter optimization related to energy efficiency in CNC machining, and can solve problems such as improper selection.

A multi-objective optimization and processing technology technology, which is applied in the field of process parameter optimization related to energy efficiency in CNC machining, and can solve problems such as improper selection.

CN104517033AActive Publication Date: 2015-04-15CHONGQING UNIV

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  • Multi-target optimization method for numerical control machining technological parameters facing energy efficiency
  • Multi-target optimization method for numerical control machining technological parameters facing energy efficiency
  • Multi-target optimization method for numerical control machining technological parameters facing energy efficiency

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Experimental program
Comparison scheme
Effect test

Embodiment

[0029] In this embodiment, a company's CNC500 five-axis linkage machine tool is used as the platform, and the following The milling size of the cemented carbide integral milling cutter is 150×100 square steel surface, and the machine tool energy efficiency monitoring system independently developed by the applicant is used to measure the real-time power of the CNC machine tool. The experimental conditions mainly include machine tool conditions, tool conditions, etc., as follows:

[0030] (1) Machine tool conditions

[0031] Table 1 Machine tool models and their parameters

[0032]

[0033] Include the following steps:

[0034] 1) Set the spindle speed of CNC machining as n and the feed per tooth as f z , the amount of back cut is a p , and the amount of side cut is a e ;

[0035] 2) Establish a multi-objective optimization model for NC machining process parameters:

[0036] minF(n, f v , a p , a e ) = (minSEC, minT p );

[0037] Among them, T p = t st +t air ...

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Abstract

The invention discloses a multi-target optimization method for numerical control machining technological parameters facing energy efficiency, aiming at realizing the aims of the technical scheme. The multi-target optimization method comprises the following steps: (1) setting a main shaft rotary speed n, a feeding mount of each tooth fz, back cutting depth ap and side cutting depth ae of numerical control cutting machining; (2) establishing a multi-target optimization model of the numerical control machining technological parameters, wherein minF(n, fv, ap, ae)=(minSEC, minTp); (3) determining a constraint condition; (4) optimizing the target model to obtain values of the corresponding n, fz, ap and ae when the minF(n, fv, ap, ae) is obtained; and (5) carrying out cutting machining on a workpiece by adopting the main shaft rotary speed n, the feeding mount of each tooth fz, the back cutting depth ap and the side cutting depth ae of the step (4).

Description

technical field [0001] The invention relates to the field of mechanical cutting, in particular to a process parameter optimization method related to energy efficiency in numerical control machining. Background technique [0002] In the production process of mechanical processing, the selection of numerical control processing process parameters is directly related to the product quality, production efficiency and production cost of the processed products. Reasonable selection of NC machining process parameters is of great significance to improve production efficiency, reduce production costs and improve product quality. At present, in most production practices, the selection of NC machining process parameters mainly depends on experience or consulting the NC machining process parameter manual, but the NC machining process parameters selected according to this method are often not optimal, which will lead to long production cycles. , low productivity, low energy efficiency, w...

Claims

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Application Information

Patent Timeline
15 Apr 2015
Publication
CN104517033A
IPC
G06F19/00; G05B19/406
Inventors
李聪波; 朱岩涛