Effect analysis and ANN prediction of surface roughness in end milling AISI H13 steel

Qing Zhang, Song Zhang*, Jia Man, Bin Zhao

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

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摘要

Surface roughness has a significant effect on the performance of machined components. In the present study, a total of 49 end milling experiments on AISI H13 steel are conducted. Based on the experimental results, the signal-to-noise (S/N) ratio is employed to study the effects of cutting parameters (axial depth of cut, cutting speed, feed per tooth and radial depth of cut) on surface roughness. An ANN predicting model for surface roughness versus cutting parameters is developed based on the experimental results. The testing results show that the proposed model can be used as a satisfactory prediction for surface roughness.

源语言英语
主期刊名High Speed Machining VI
编辑Xianli Liu, Bin Jiang, Xuefeng Wu, Caixu Yue
出版商Trans Tech Publications Ltd.
590-595
页数6
ISBN(印刷版)9783038351429
DOI
出版状态已出版 - 2014
已对外发布
活动6th International Conference on High Speed Machining, ICHSM 2014 - Harbin, 中国
期限: 24 7月 201425 7月 2014

出版系列

姓名Materials Science Forum
800-801
ISSN(印刷版)0255-5476
ISSN(电子版)1662-9752

会议

会议6th International Conference on High Speed Machining, ICHSM 2014
国家/地区中国
Harbin
时期24/07/1425/07/14

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引用此

Zhang, Q., Zhang, S., Man, J., & Zhao, B. (2014). Effect analysis and ANN prediction of surface roughness in end milling AISI H13 steel. 在 X. Liu, B. Jiang, X. Wu, & C. Yue (编辑), High Speed Machining VI (页码 590-595). (Materials Science Forum; 卷 800-801). Trans Tech Publications Ltd.. https://doi.org/10.4028/www.scientific.net/MSF.800-801.590