[1]杨西荣,权强强,田倩炆,等.人工神经网络在材料加工中的应用及展望[J].中国材料进展,2023,42(11):896-901.[doi:10.7502/j.issn.1674-3962.202104002]
 YANG Xirong,QUAN Qiangqiang,TIAN Qianwen,et al.Application and Prospect of Artificial Neural Network in Material Processing[J].MATERIALS CHINA,2023,42(11):896-901.[doi:10.7502/j.issn.1674-3962.202104002]
点击复制

人工神经网络在材料加工中的应用及展望()
分享到:

中国材料进展[ISSN:1674-3962/CN:61-1473/TG]

卷:
42
期数:
2023年第11期
页码:
896-901
栏目:
出版日期:
2023-11-30

文章信息/Info

Title:
Application and Prospect of Artificial Neural Network in Material Processing
文章编号:
1674-3962(2023)11-0896-06
作者:
杨西荣12权强强1田倩炆1刘晓燕1罗雷12王敬忠1
1. 西安建筑科技大学冶金工程学院,陕西 西安 710055 2. 陕西省纳米材料与技术重点实验室,陕西 西安 710055
Author(s):
YANG Xirong12QUAN Qiangqiang1TIAN Qianwen1LIU Xiaoyan1LUO Lei12WANG Jingzhong1
1. College of Metallurgical Engineering, Xi’an University of Architecture & Technology, Xi’an 710055, China 2. Shaanxi Key Laboratory of Nanomaterial and Technology, Xi’an 710055,China
关键词:
人工神经网络材料加工性能预测材料设计相变规律
Keywords:
artificial neural network material processing performance prediction material design phase transition rule
分类号:
TP183
DOI:
10.7502/j.issn.1674-3962.202104002
文献标志码:
A
摘要:
随着计算机技术的发展,“材料基因组计划”的推行促进了数据驱动技术在材料加工中的应用发展。人工神经网络因具有自学习、信息存储、联想记忆及高速寻求最优解等能力而广泛应用于材料设计、材料性能预测、工艺条件最优参数确定等材料科学技术研究方面,改变了传统上采用“试错法”进行的实验研究。综述了人工神经网络的基本理论及发展历程,对其在国内外在材料性能预测、材料设计优化和相变规律预测3个方面的应用发展进行了概括性总结,探究了人工神经网络在材料加工方面存在的不足,并对其未来的发展进行了展望。
Abstract:
In recent years, with the development of computer technology, the implementation of “Material Genome Initiative(MGI)” has promoted the application and development of data-driven technology in material processing. Artificial neural networks are widely used in material science and technology research such as material design, material performance prediction, and optimal parameter determination of process conditions because of their capabilities of self-learning, information storage, associative memory, and high-speed search for optimal solutions. It is difficult to use the “trial and error method” to carry out experimental research. In this paper, the basic theory and development history of artificial neural network at home and abroad are reviewed. The application development of material performance prediction, material design optimization and phase change rule prediction are summarized. The shortcomings of artificial neural network in material processing are explored and the future development is prospected.

参考文献/References:

\[1\]贾豫婕,林希衡,邹小伟,等.中国材料展\[J\],2022,41(5):354-370. JIA Y J,LIN X H,ZOU X W,et al.Materials China\[J\],2022,41(5):354-370. \[2\]康靓,米晓希,王海莲,等.材料导报\[J\],2020,34(21):21172-21179. KANG L,MI X X,WANG H L,et al.Materials Review\[J\],2020,34(21):21172-21179. \[3\]钱旭,田子奇.数据与计算发展前沿\[J\],2020,2(1):128-141. QIAN X,TIAN Z Q.Frontiers of Data & Computing\[J\],2020,2(1):128-141. \[4\]崔岩,卢昀坤,曹雷刚,等.热加工工艺\[J\],2018,47(12):13-16. CUI Y,LU Y K,CAO L G,et al.Hot Working Technology\[J\],2018,47(12):13-16. \[5\]宿彦京,付华栋,白洋,等.金属学报\[J\],2020,56(10):1313-1323. SU Y J,FU H D,BAI Y,et al.Acta Metallurgica Sinica\[J\].2020,56(10):1313-1323. \[6\]贾豫冬,刘凡,朱宏康.中国材料进展\[J\],2019,38(6):626-630. JIA Y D,LIU F,ZHU H K.Materials China\[J\],2019,38(6):626-630. \[7\]阳杰,徐锐,黄群,等.固体力学学报\[J\],2020,41(1):1-14. YANG J,XU R,HUANG Q,et al.Chinese Journal of Solid Mechanics\[J\],2020,41(1):1-14. \[8\]MLLER J J,KRNER W,KRUGEL G,et al.Acta Materialia\[J\],2018,153(153):53-61. \[9\]REN F,WARD L,WILLIAMS T,et al.Science Advances\[J\],2018,4(4):1566. \[10\]宋晓艳,刘东,刘雪梅,等.中国科学:技术科学\[J\],2020,50(6):786-800. SONG X Y,LIU D,LIU X M,et al.Scientia Sinica Technologica\[J\],2020,50(6):786-800. \[11\]ZHOU Y,GAN G Y,YI J H,et al.Journal of Micromechanics and Molecular Physics\[J\],2020,5(2): 2040002. \[12\]米晓希,汤爱涛,朱雨晨,等.材料导报\[J\],2021(15):1-18. MI X X,TANG A T,ZHU Y C,et al.Materials Review\[J\],2021(15):1-18. \[13\]赵崇文.山西电子技术\[J\],2020(3):94-96. ZHAO C W.Shanxi Electronic Technology\[J\],2020(3):94-96. \[14\]GOMES S C P,GARDEL K P R,GONCALVES L R,et al.Applied Soft Computing Journal\[J\],2021,104(7):107254. \[15\]BADR C,MOHAMED T,EMMANUEL S,et al.Energy & Buildings\[J\],2021,239: 110839. \[16\]田方斌,刘敏,李吉成. 国防科技大学学报\[J\],2004(2):51-55. TIAN F B, LIU M, LI J C. Journal of National University of Defense Technology\[J\],2004(2):51-55. \[17\]SUJATHA K,CHANDRASHAKER R B,PONMAGAL R S,et al.Procedia Computer Science\[J\],2020,171:1517-1526. \[18\]HAGLIN J M,JIMENEZ G,ELTORAI A E M.Health and Technology\[J\],2019,9(1):1-6. \[19\]YU C.E3S Web of Conferences\[J\],2021,233:02003-02008. \[20\]ABABNEH A,ALHASSAN M,ABU-HAIFA M.Case Studies in Construction Materials\[J\],2020,13:1-13. \[21\]李维刚,谌竟成,范丽霞,等.钢铁研究学报\[J\],2020,32(1):33-43. LI W G,CHEN J C,FAN L X,et al.Journal of Iron and Steel Research\[J\],2020,32(1):33-43. \[22\]伊茹梦.科技经济导刊\[J\],2015(18):59-60. YI R M.Technology and Economic Guide\[J\],2015(18):59-60. \[23\]JAMES W.Science\[J\],1890,16(401):207-208. \[24\]NEWELL A.Science\[J\],1969,165(3895):780-782. \[25\]HOPFIELD J J.Proceedings of the National Academy of Sciences of the United States of America\[J\],1982,79(8):2554-2558. \[26\]STUART S.Nature\[J\],1986,323(6088):486. \[27\]姚国正,汪云九.生物化学与生物物理进展\[J\],1988,2:94. YAO G Z,WANG Y J.Progress in Biochemistry and Biophysics\[J\],1988,2:94. \[28\]张巧超,曾昭冰.辽宁经济职业技术学院学报\[J\],2010(4):68-69. ZHANG Q C,ZENG Z B.Journal of Liaoning Economic Management Cadre Institute\[J\],2010(4):68-69. \[29\]陈东焰,陆畅.科技创新导报\[J\],2020,17(13):146-148. CHEN D Y,LU C.Science and Technology Innovation Herald\[J\],2020,17(13):146-148. \[30\]SILVER D,HUANG A,MADDISON C J.Nature\[J\],2016,529(7587):484-489. \[31\]朱英.化工中间体\[J\],2014,10(11):1-5. ZHU Y.Modern Chemical Research\[J\],2014,10(11):1-5. \[32\]陈锟,刘克家,施宇涛,等.广州化工\[J\],2019,47(1):125-126. CHEN K,LIU K J,SHI Y T,et al.Guangzhou Chemical Industry\[J\],2019,47(1):125-126. \[33\]宋维锡.金属学\[M\].北京:冶金工业出版社,1989. SONG W X.Metallography\[M\].Beijing:Metallurgical Industry Press, 1989. \[34\]ONDER A,SEDAT B,TAHIR A,et al.Indian Journal of Engineering and Materials Sciences\[J\],2016,23(4):239-246. \[35\]王鑫,刘金亮,周舸,等.沈阳工业大学学报\[J\],2021,3(24):1-6. WANG X,LIU J L,ZHOU G, et al.Journal of Shenyang University of Technology\[J\],2021,3(24):1-6. \[36\]RAMACHANDRA S,DURODOLA J F,FELLOWS N A,et al.International Journal of Fatigue\[J\],2019,126:112-121. \[37\]PATOWARI P K,SAHA P,MISHRA P K.The International Journal of Advanced Manufacturing Technology\[J\],2010,51(5-8):627-638. \[38\]魏艳红,张玉莲.电焊机\[J\],2020,50(9):213-220. EI Y H,ZHANG Y L.Electric Welding Machine\[J\],2020,50(9):213-220. \[39\]张吉会.基于人工神经网络的电弧增材制造焊道成型尺寸预测\[D\].辽宁:沈阳大学,2016. ZHANG J H.Prediction of Weld Pass Forming Size in Arc Additive Manufacturing Based on Artificial Neural Network\[D\].Liaoning:Shenyang University,2016. \[40\]CHAKI S,BOSE D,BATHE R N.Lasers in Manufacturing and Materials Processing\[J\],2020,7(1):88-110. \[41\]刘晓燕,杨成,杨西荣,等.稀有金属材料与工程\[J\],2018,47(10):3038-3044. LIU X Y,YANG C,YANG X R,et al.Rare Metal Materials and Engineering\[J\],2018,47(10):3038-3044. \[42\]胡赓祥,蔡珣,戎咏华.材料科学基础\[M\].上海:上海交通大学出版社,2010. HU G X,CAI X,RONG Y H.Fundamentals of Material Science\[M\].Shanghai:Shanghai Jiao Tong University Press,2010. \[43\]CHAKRABORTY S,DAS P,KAVETI N K.Multidiscipline Modeling in Materials and Structures\[J\],2019,15(1):170-186. \[44\]REDDY D C,REDDY C S.Transactions of the American Foundrymens Society\[J\],1996,104:191-196. \[45\]VERMEULEN W G,WOLK P J,WEIJER A P.Journal of Materials Engineering and Performance\[J\],1996,5(1):57-63. \[46\]孙宇,曾卫东,赵永庆,等.稀有金属材料与工程\[J\],2010,39(6):1031-1036. SUN Y,ZENG W D,ZHAO Y Q,et al.Rare Metal Materials and Engineering\[J\],2010,39(6):1031-1036.

备注/Memo

备注/Memo:
收稿日期:2021-04-01修回日期:2022-03-09 基金项目:陕西省医用金属材料重点实验室开放基金项目(SXBMM-201903);西安建筑科技大学自然科学专项基金项目(ZR19043) 第一作者:杨西荣,男,1971年生,教授,博士生导师, Email:lazy_yxr@qq.com
更新日期/Last Update: 2023-10-25