System and method for optimizing cutting process

A technology of machining and process solutions, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as innovation and breakthroughs that have not yet been

Inactive Publication Date: 2017-02-22
LIAONING UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

In recent years, my country's evaluation of green manufacturing has mainly focused on the abov

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  • System and method for optimizing cutting process
  • System and method for optimizing cutting process
  • System and method for optimizing cutting process

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Embodiment Construction

[0103] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0104] Adaptive Neuro-Fuzzy Inference System (ANFIS) is the main research branch of the artificial intelligence discipline. It has the advantages of easy expression of human knowledge in fuzzy reasoning, as well as the advantages of distributed data processing and autonomous learning, which can effectively eliminate the problems of evaluation indicators. The impact of fuzziness and randomness on the evaluation results, as well as avoiding the bias caused by the subjectivity and tendency of evaluation experts, are especially effective for evaluation systems whose inference rules are not yet fully understood by people or whose structure is very complex. However, using artifi...

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Abstract

The invention provides a system and a method for optimizing a cutting process, relating to the technical field of the cutting process. The system comprises an evaluation index selector, a data quantitative processor, a sample classifier, a process scheme evaluator and a process scheme selector. The method for realizing the optimization for the cutting process by adopting the system and on the basis of a particle swarm classifying and self-adaption nerve fuzzy inference system comprises the following steps: generating a training sample set by adopting a particle swarm optimization algorithm according to the collected process index data; establishing a self-adaption nerve fuzzy inference system model by learning the training sample set; autonomously generating a fuzzy inference rule, thereby acquiring an evaluation value and confirming the optimal cutting process scheme. According to the method provided by the invention, the intelligent evaluation and the prior evaluation can be realized; the evaluation process is simple and clear; through the method and the system, different cutting process schemes of a same part can be compared and then the optimal process route can be confirmed; under the condition of guaranteeing the emission reduction and environment protection, the cutting process can be more effectively realized.

Description

technical field [0001] The invention relates to the technical field of cutting technology, in particular to a system and method for optimizing cutting technology. Background technique [0002] In today's world, all countries are actively pursuing green, intelligent and sustainable development of the manufacturing industry. Especially since entering the new century, green manufacturing has become an important trend in the development of my country's manufacturing industry. At present, the application rate of green manufacturing technology in Chinese enterprises is very low. The main reason is that on the one hand, enterprises have insufficient technical reserves for green manufacturing technology and the level of manufacturing technology is low; Green process analysis and evaluation methods and optimization tools. Therefore, it is urgent to develop a cutting process evaluation method and optimization tool to realize the optimization and development of green cutting process ...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/17
Inventor 王宇钢
Owner LIAONING UNIVERSITY OF TECHNOLOGY
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