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Machine tool manufacturing system processing and energy saving optimization method based on particle swarm algorithm

A particle swarm algorithm and manufacturing system technology, applied in the field of energy efficiency optimization control of machine tool manufacturing system, can solve problems such as high energy consumption and long processing time

Active Publication Date: 2016-09-07
JIANGNAN UNIV
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Problems solved by technology

[0005] The root of the present invention is to address the above-mentioned problems and propose an energy-saving optimization method for machine tool product manufacturing system, which is used to solve the problems of high energy consumption and long processing time caused by improper selection of processing parameters

Method used

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  • Machine tool manufacturing system processing and energy saving optimization method based on particle swarm algorithm
  • Machine tool manufacturing system processing and energy saving optimization method based on particle swarm algorithm
  • Machine tool manufacturing system processing and energy saving optimization method based on particle swarm algorithm

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Embodiment Construction

[0081] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0082] Such as figure 1 Shown, overall flow process of the present invention is as follows:

[0083] (1) Establish the processing time and energy consumption model of the machine tool manufacturing system;

[0084] (2) Constraints are given in combination with machine tool characteristics and processing conditions;

[0085] (3) draw the multi-objective optimization model of the present invention by (1) and (2);

[0086] (4) Using the improved particle swarm optimization algorithm to solve the multi-objective optimization model;

[0087] (5) Use the AHP decision-making method to select the appropriate combination of processing parameters in a set of solutions obtained.

[0088] Concrete steps of the present invention are as follows:

[0089] Step 1: Establish a multi-objective mathematical model for solving optimal processing para...

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Abstract

The invention discloses a machine tool manufacturing system processing and energy saving optimization method based on a particle swarm algorithm, and solves the problems high energy consumption and long processing time caused by improper selection of processing parameters in component processing of a machine tool. The adopted method comprises the steps that firstly: a machine tool manufacturing system processing energy consumption and processing time mathematical model is constructed; secondly: corresponding constraint conditions are set according to the actual processing situation; thirdly: a multi-target model is solved by adopting the improved particle swarm algorithm; and fourthly: a solution set is processed by adopting an analytic hierarchy process in one solved solution set so that one optimal solution is objectively selected. Cutting speed, cutting depth, feed amount and other parameters of processing are optimized through the swarm intelligent algorithm so that the parameters are enabled to be optimal and the objective of energy saving can be realized.

Description

technical field [0001] The invention relates to the technical field of energy-efficiency optimization control of machine tool product manufacturing systems, and in particular, to a method for optimizing energy-saving processing of machine tool manufacturing systems based on particle swarm algorithm. Background technique [0002] my country is a developing country with relatively poor energy and resources. As a big energy-consuming country, my country’s energy consumption per unit of GDP in 2012 was 2.5 times that of the world’s average level, 3.3 times that of the United States, and 7 times that of Japan. The energy consumption is huge. At the same time, in the face of equipment replacement, some small and medium-sized enterprises are unwilling to pay this expensive fee. For this reason, how to improve the utilization rate of equipment and reduce the energy cost and environmental cost of enterprises without changing the existing equipment is a direction worth studying. [0...

Claims

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 王艳蔡磊纪志成潘琛
Owner JIANGNAN UNIV
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