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气缸套激光表面硬化指标的神经网络预测
引用本文:任菲,吴耀宇,吴晓铃,赵少甫. 气缸套激光表面硬化指标的神经网络预测[J]. 机械传动, 2010, 34(4)
作者姓名:任菲  吴耀宇  吴晓铃  赵少甫
作者单位:1. 郑州大学,机械工程学院,河南,郑州,450001
2. 中州大学,工程技术学院,河南,郑州,450004
3. 郑州大学,机械工程学院,河南,郑州,450001;重庆大学,机械传动国家重点实验室,重庆,400030
4. 郑州机械研究所,河南,郑州,450052
摘    要:
以某汽车发动机的HT150气缸套激光表面硬化正交实验得到的实验数据为基础,利用Mat-lab人工神经网络工具箱中的BP网络强大的数据预测功能,建立了该HT150气缸套激光表面硬化指标(表面硬度和硬化层深度)的神经网络预测模型,通过对网络隐含层神经元个数的调整,使收敛速度加快,提高了硬化指标的预测精度。

关 键 词:气缸套  激光表面硬化  硬化指标  BP网络  预测  

Prediction of Laser Surface Hardening Index on Cylinder Liner by Neural Network
Ren Fei Wu Yaoyu Wu Xiaoling, Zhao Shaofu. Prediction of Laser Surface Hardening Index on Cylinder Liner by Neural Network[J]. Journal of Mechanical Transmission, 2010, 34(4)
Authors:Ren Fei Wu Yaoyu Wu Xiaoling   Zhao Shaofu
Affiliation:1 Schod of Mechanical Engineering/a>;Zhengzhou University/a>;Zhengzhou 450001/a>;China;2 College of Engineering Technology/a>;Zhongzhou Untversity/a>;Zhengzhou 450004/a>;China;3 The State Key Laboratory of Mechanical Transmission/a>;Chongqing University/a>;Chongqing 400030/a>;China;4 Zhengzhou Research Institute of Mechanical Engineering/a>;Zhengzhou 450052/a>;China
Abstract:
Based on the data obtained from the perpendicular experiment of laser surface hardening on HT150 cylinder liner of a certain motor engine,and with BP neural network's powerful function in numeric forecast,a neural network forecast model of laser surface hardening index about HT150 cylinder liner is established.The convergence speed is accelerated and the prediction accuracy of the hardening index is improved by adjusting the number of hidden-layer neurons in the network.
Keywords:Cylinder liner Laser surface hardening Hardening index BP network Prediction  
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