| 一种基于模糊神经网络确定电火花加工条件的新方法 |
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| 引用本文： | 胡建华,汪炜,徐启华. 一种基于模糊神经网络确定电火花加工条件的新方法[J]. 机械科学与技术, 2008, 27(8) |
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| 作者姓名： | 胡建华 汪炜 徐启华 |
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| 作者单位： | 淮海工学院,机械工程系,连云港,222005;南京航空航天大学,机电工程学院,南京,210016 |
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| 基金项目： | 江苏省高校自然科学基金，江苏省高校高新技术产业发展项目 |
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| 摘 要： | 在电火花加工中,影响因素较多,难以确定最优加工条件。应用模糊神经网络确定电火花加工条件是一种新的尝试,它可以充分发挥模糊逻辑和神经网络的长处。为方便操作者决定粗加工最优加工条件,并提高表面加工效果和粗加工速度,本文提出了一种基于模糊神经网络自动确定和优化电火花成形加工中加工参数的方法。经实践证明,用该方法所确定的最优加工条件,能保证较高的粗加工速度,方便了操作者对加工条件的确定。
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| 关 键 词： | 电火花加工 神经网络 模糊神经网络 |
A New Method for Determination of the Optimal Machining Conditions in Electrical Discharge Machining Using Fuzzy Neural Network |
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| Hu Jianhua,Wang Wei,Xu Qihua. A New Method for Determination of the Optimal Machining Conditions in Electrical Discharge Machining Using Fuzzy Neural Network[J]. Mechanical Science and Technology for Aerospace Engineering, 2008, 27(8) |
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| Authors: | Hu Jianhua Wang Wei Xu Qihua |
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| Abstract: | There are many factors affecting electric discharge machining(EDM),and it is difficult to determine the optimal machining conditions.We present a new method based on fuzzy neural network(FNN) for determining EDM machining conditions,taking advantage of both fuzzy logic system and neural network.To determine the optimal machining condition of primary machining and to increase the speed of machining,a method is proposed that can be used to auto-compute the initial machining condition by the fuzzy neural network(FNN) in the EDM sinking process.The experimental results prove that the conditions determined by the FNN can ensure a high machining speed and efficiency,and it is convenient for operators to determine the most effective machining conditions. |
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| Keywords: | electrical discharge machining neural networks fuzzy neural network |
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