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The process parameters modeling and experimental study based on BP neural network for laser direct rapid forming metal parts

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成果类型:
期刊论文、会议论文
作者:
Wang, Jianbin*;Yin, Jishu;Chen, Binghuang
通讯作者:
Wang, Jianbin
作者机构:
[Chen, Binghuang; Wang, Jianbin; Yin, Jishu] Univ S China, Sch Mech Engn, Hengyang, Peoples R China.
通讯机构:
[Wang, Jianbin] U
Univ S China, Sch Mech Engn, Hengyang, Peoples R China.
语种:
英文
关键词:
Laser direct rapid forming;Metal parts;Modeling;Neural network;Process parameters
期刊:
Advanced Materials Research
ISSN:
1022-6680
年:
2011
卷:
156-157
页码:
737-741
会议名称:
International Conference on Advances in Materials and Manufacturing Processes
会议论文集名称:
Advanced Materials Research
会议时间:
NOV 06-08, 2010
会议地点:
Shenzhen, PEOPLES R CHINA
会议主办单位:
[Wang, Jianbin;Yin, Jishu;Chen, Binghuang] Univ S China, Sch Mech Engn, Hengyang, Peoples R China.
会议赞助商:
Univ Wollongong, NE Univ, Univ Sci & Technol Beijing, Hebei Polytechn Univ, Hong Kong Ind Technol Res Ctr
主编:
Han, JT Jiang, ZY Jiao, S
出版地:
KREUZSTRASSE 10, 8635 DURNTEN-ZURICH, SWITZERLAND
出版者:
TRANS TECH PUBLICATIONS LTD
ISBN:
978-0-87849-205-3
机构署名:
本校为第一且通讯机构
院系归属:
机械工程学院
摘要:
Discussed in detail using BP neural network to establish the quantitative relationship model between the process parameters and components density on the laser direct rapid forming (LDRF) metal parts, in which input of single-pass sintering model is: laser power (P), scanning speed (V) and powder feeding rate (G), performance indicators to measure the width of the sintered layer (W) and height (H);input of multi-pass multi-sintering model is: P, V, G, scan spacing (D) and layer thick (ΔZ), the performance measure for the density of sintered parts, And neural network simulation results an...

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