基于GRA-RBF-FA的整体叶盘通道盘铣加工多目标参数优化

Nan Zhang; Yaoyao Shi; Chen Yang; Zhen Chen; Jiang Liu

doi:10.1051/jnwpu/20193710160

基于GRA-RBF-FA的整体叶盘通道盘铣加工多目标参数优化

Nan Zhang, Yaoyao Shi, Chen Yang, Zhen Chen, Jiang Liu

机电学院

科研成果: 期刊稿件 › 文章 › 同行评审

6 引用（Scopus）

摘要

The process of disc-mill cutter machining blisk-tunnel is a typical multi-input and multi-output system, therefore multi-objective optimization is applied to improve the process. In this paper, an integrated approach that Grey Relational Analysis(GRA)couples with Radial Basis Function (RBF) neural network and Firefly algorithm (FA) is used to solve the optimization problem. The aim is to satisfy the minimum cutting force and maximum material removal rate simultaneously by optimizing the cutting speed, feed rate per tooth and cutting height. The results for verifying experiment indicated that GRA-RBF-FA method can be applied to optimize the processing parameters of disc-mill cutter machining TC17 blisk-tunnel and the optimization results are superior to the GRA's.

投稿的翻译标题	Multi-Objective Optimization of Processing Parameters for Disc-Mill Cutter Machining Blisk-Tunnel Based on GRA-RBF-FA Method
源语言	繁体中文
页（从-至）	160-166
页数	7
期刊	Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
卷	37
期	1
DOI	https://doi.org/10.1051/jnwpu/20193710160
出版状态	已出版 - 1 2月 2019

关键词

Blisk-tunnel
Disc-mill cutter
GRA-RBF-FA
GRG
Multi-objective optimization
Processing parameters

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10.1051/jnwpu/20193710160

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链接到 Scopus 的出版物

引用此

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title = "基于GRA-RBF-FA的整体叶盘通道盘铣加工多目标参数优化",

abstract = "The process of disc-mill cutter machining blisk-tunnel is a typical multi-input and multi-output system, therefore multi-objective optimization is applied to improve the process. In this paper, an integrated approach that Grey Relational Analysis(GRA)couples with Radial Basis Function (RBF) neural network and Firefly algorithm (FA) is used to solve the optimization problem. The aim is to satisfy the minimum cutting force and maximum material removal rate simultaneously by optimizing the cutting speed, feed rate per tooth and cutting height. The results for verifying experiment indicated that GRA-RBF-FA method can be applied to optimize the processing parameters of disc-mill cutter machining TC17 blisk-tunnel and the optimization results are superior to the GRA's.",

keywords = "Blisk-tunnel, Disc-mill cutter, GRA-RBF-FA, GRG, Multi-objective optimization, Processing parameters",

author = "Nan Zhang and Yaoyao Shi and Chen Yang and Zhen Chen and Jiang Liu",

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AU - Zhang, Nan

AU - Shi, Yaoyao

AU - Yang, Chen

AU - Chen, Zhen

AU - Liu, Jiang

PY - 2019/2/1

Y1 - 2019/2/1

N2 - The process of disc-mill cutter machining blisk-tunnel is a typical multi-input and multi-output system, therefore multi-objective optimization is applied to improve the process. In this paper, an integrated approach that Grey Relational Analysis(GRA)couples with Radial Basis Function (RBF) neural network and Firefly algorithm (FA) is used to solve the optimization problem. The aim is to satisfy the minimum cutting force and maximum material removal rate simultaneously by optimizing the cutting speed, feed rate per tooth and cutting height. The results for verifying experiment indicated that GRA-RBF-FA method can be applied to optimize the processing parameters of disc-mill cutter machining TC17 blisk-tunnel and the optimization results are superior to the GRA's.

AB - The process of disc-mill cutter machining blisk-tunnel is a typical multi-input and multi-output system, therefore multi-objective optimization is applied to improve the process. In this paper, an integrated approach that Grey Relational Analysis(GRA)couples with Radial Basis Function (RBF) neural network and Firefly algorithm (FA) is used to solve the optimization problem. The aim is to satisfy the minimum cutting force and maximum material removal rate simultaneously by optimizing the cutting speed, feed rate per tooth and cutting height. The results for verifying experiment indicated that GRA-RBF-FA method can be applied to optimize the processing parameters of disc-mill cutter machining TC17 blisk-tunnel and the optimization results are superior to the GRA's.

KW - Blisk-tunnel

KW - Disc-mill cutter

KW - GRA-RBF-FA

KW - GRG

KW - Multi-objective optimization

KW - Processing parameters

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基于GRA-RBF-FA的整体叶盘通道盘铣加工多目标参数优化

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