机械工程 |
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基于GA-WPT-ELM的6061铝合金表面粗糙度预测 |
谭芳芳1( ),朱俊江1,严天宏1,*( ),高志强2,何岭松2 |
1. 中国计量大学 机电工程学院,浙江 杭州 310018 2. 华中科技大学 机械科学与工程学院,湖北 武汉 430074 |
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Surface roughness prediction of 6061 aluminum alloy based on GA-WPT-ELM |
Fang-fang TAN1( ),Jun-jiang ZHU1,Tian-hong YAN1,*( ),Zhi-qiang GAO2,Ling-song HE2 |
1. College of Mechanical and Electronic Engineering, China Jiliang University, Hangzhou 310018, China 2. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China |
引用本文:
谭芳芳,朱俊江,严天宏,高志强,何岭松. 基于GA-WPT-ELM的6061铝合金表面粗糙度预测[J]. 浙江大学学报(工学版), 2020, 54(1): 40-47.
Fang-fang TAN,Jun-jiang ZHU,Tian-hong YAN,Zhi-qiang GAO,Ling-song HE. Surface roughness prediction of 6061 aluminum alloy based on GA-WPT-ELM. Journal of ZheJiang University (Engineering Science), 2020, 54(1): 40-47.
链接本文:
http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2020.01.005
或
http://www.zjujournals.com/eng/CN/Y2020/V54/I1/40
|
1 |
WANG H, TO S, CHAN C Y Investigation on the influence of tool-tip vibration on surface roughness and its representative measurement in ultra-precision diamond turning[J]. International Journal of Machine Tools and Manufacture, 2013, 69 (3): 20- 29
|
2 |
仲为武, 赵东标, 王希 航空铝合金7050-T7451干式铣削工艺参数对振动信号影响研究[J]. 中国机械工程, 2011, 22 (4): 458- 461 ZHONG Wei-wu, ZHAO Dong-biao, WANG Xi Effects of process parameters on vibration signals in dry milling of aeronautic aluminum alloy 7050-T7451[J]. China Mechanical Engineering, 2011, 22 (4): 458- 461
|
3 |
王政平, 张锡芳, 张艳娥 表面粗糙度光学测量方法研究进展[J]. 传感器与微系统, 2007, 26 (9): 4- 6 WANG Zheng-ping, ZHANG Xi-fang, ZHANG Yan-e Progress on optical measurement of surface roughness[J]. Transducer and Microsystem Technologies, 2007, 26 (9): 4- 6
doi: 10.3969/j.issn.1000-9787.2007.09.002
|
4 |
刘晨, 卢荣胜, 陈磊, 等 基于光学法表面粗糙度的测量研究进展[J]. 半导体光电, 2010, 31 (4): 495- 500 LIU Chen, LU Rong-sheng, CHEN Lei, et al Progress of surface roughness measurement based on optical method[J]. Semiconductor Optoelectronics, 2010, 31 (4): 495- 500
|
5 |
SALGADO D R, ALONSO F J, CAMBERO I, et al In-process surface roughness prediction system using cutting vibrations in turning[J]. The International Journal of Advanced Manufacturing Technology, 2009, 43 (1/2): 40- 51
|
6 |
LAURO C H, BRANDAO L C, BALDO D, et al Monitoring and processing signal applied in machining processes: a review[J]. Measurement, 2014, 58: 73- 86
doi: 10.1016/j.measurement.2014.08.035
|
7 |
OZEL T, KARPAT Y, LUíS FIGUEIRA, et al Modelling of surface finish and tool flank wear in turning of AISI D2 steel with ceramic wiper inserts[J]. Journal of Materials Processing Technology, 2007, 189 (1-3): 192- 198
doi: 10.1016/j.jmatprotec.2007.01.021
|
8 |
HESSAINIA Z, BELBAH A, YALLESE M A, et al On the prediction of surface roughness in the hard turning based on cutting parameters and tool vibrations[J]. Measurement, 2013, 46 (5): 1671- 1681
doi: 10.1016/j.measurement.2012.12.016
|
9 |
KIM D S, CHANG I C, KIM S W Microscopic topographical analysis of tool vibration effects on diamond turned optical surfaces[J]. Precision Engineering, 2002, 26 (2): 168- 174
doi: 10.1016/S0141-6359(01)00115-5
|
10 |
SEGRETO T, KARAM S, SIMEONE A, et al Residual stress assessment in Inconel 718 machining through wavelet sensor signal analysis and sensor fusion pattern recognition[J]. Procedia CIRP, 2013, 9: 103- 108
doi: 10.1016/j.procir.2013.06.176
|
11 |
迟军, 陈廉清, 杨超珍 基于小波包分析和Elman网络的切削表面粗糙度预测方法[J]. 中国机械工程, 2010, (7): 822- 826 CHI Jun, CHEN Lian-qing, YANG Chao-zhen Research on prediction of cutting surface roughness based on wavelet packet analysis and Elman network[J]. China Mechanical Engineering, 2010, (7): 822- 826
|
12 |
UPADHYAY V, JAIN P K, MEHTA N K In-process prediction of surface roughness in turning of Ti–6Al–4V alloy using cutting parameters and vibration signals[J]. Measurement, 2013, 46 (1): 154- 160
doi: 10.1016/j.measurement.2012.06.002
|
13 |
RISBOOD K A, DIXIT U S, SAHASRABUDHE A D Prediction of surface roughness and dimensional deviation by measuring cutting forces and vibrations in turning process[J]. Journal of Materials Processing Tech, 2003, 132 (1): 203- 214
|
14 |
PLAZA E G, LóPEZ P J N Surface roughness monitoring by singular spectrum analysis of vibration signals[J]. Mechanical Systems and Signal Processing, 2017, 84: 516- 530
doi: 10.1016/j.ymssp.2016.06.039
|
15 |
PLAZA E G, LóPEZ P J N Analysis of cutting force signals by wavelet packet transform for surface roughness monitoring in CNC turning[J]. Mechanical Systems and Signal Processing, 2018, 98: 634- 651
doi: 10.1016/j.ymssp.2017.05.006
|
16 |
钟崴, 彭梁, 周永刚, 等 基于小波包分析和支持向量机的锅炉结渣诊断[J]. 浙江大学学报: 工学版, 2016, 50 (8): 1499- 1506 ZHONG Wei, PENG Liang, ZHOU Yong-gang, et al Slagging diagnosis of boiler based on wavvelet packet analysis and support vector machine[J]. Journal of Zhejiang University: Engineering Science, 2016, 50 (8): 1499- 1506
|
17 |
李国宾, 关德林, 李廷举 基于小波包变换和奇异值分解的柴油机振动信号特征提取研究[J]. 振动与冲击, 2011, 30 (8): 149- 152 LI Guo-bin, GUAN De-lin, LI Ting-ju Study on feature extraction of diesel engine vibration signal based on wavelet packet transform and singularity value decomposition[J]. Journal of Vibration and Shock, 2011, 30 (8): 149- 152
doi: 10.3969/j.issn.1000-3835.2011.08.029
|
18 |
HUANG G B, ZHU Q Y, SIEW C K Extreme learning machine: theory and applications[J]. Neurocomputing, 2006, 70 (1-3): 489- 501
doi: 10.1016/j.neucom.2005.12.126
|
19 |
HUANG G B, ZHOU H, DING X, et al Extreme learning machine for regression and multiclass classification[J]. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), 2012, 42 (2): 513- 529
doi: 10.1109/TSMCB.2011.2168604
|
20 |
段斌, 梁军, 费正顺, 等 基于GA-ANN的非线性半参数建模方法[J]. 浙江大学学报: 工学版, 2011, 45 (6): 977- 983 DUAN Bin, LIANG Jun, FEI Zheng-shun, et al Nonlinear semi-parametruc modeling mothed based on GA-ANN[J]. Journal of Zhejiang University: Engineering Science, 2011, 45 (6): 977- 983
|
21 |
刘浩然, 赵翠香, 李轩, 等 一种基于改进遗传算法的神经网络优化算法研究[J]. 仪器仪表学报, 2016, 37 (7): 1573- 1580 LIU Hao-ran, ZHAO Cui-xiang, LI Xuan, et al Study on a neural network optimization algorithm based on improved genetic algorithm[J]. Chinese Journal of Scientific Instrument, 2016, 37 (7): 1573- 1580
doi: 10.3969/j.issn.0254-3087.2016.07.017
|
22 |
杨阳, 李春, 缪维跑, 等 基于多目标遗传算法的风力机叶片全局优化设计[J]. 机械工程学报, 2015, 51 (14): 192- 198 YANG Yang, LI Chun, MIAO Wei-pao, et al Global optimal design of wind turbines blade based on multi-object genetic algorithm[J]. Journal of Mechanical Engineering, 2015, 51 (14): 192- 198
|
23 |
TABOADA H A, ESPIRITU J F, COIT D W MOMS-GA: a multi-objective multi-state genetic algorithm for system reliability optimization design problems[J]. IEEE Transactions on Reliability, 2008, 57 (1): 182- 191
doi: 10.1109/TR.2008.916874
|
24 |
刘守山, 杨辰龙, 李凌, 等 基于自适应小波阈值的超声信号消噪[J]. 浙江大学学报: 工学版, 2007, 41 (9): 1557- 1560 LIU Shou-shan, YANG Chen-long, LI Ling, et al Adaptive wavelet thresholding based ultrasonic signal denoising[J]. Journal of Zhejiang University: Engineering Science, 2007, 41 (9): 1557- 1560
|
25 |
覃柏英, 林贤坤, 张令弥, 等 基于整数编码遗传算法的传感器优化配置研究[J]. 振动与冲击, 2011, 30 (2): 252- 257 QIN Bo-ying, LIN Xian-kun, ZHANG Ling-mi, et al Research on optimal sensor placement based on integer-coded genetic algorithm[J]. Journal of Vibration and Shock, 2011, 30 (2): 252- 257
doi: 10.3969/j.issn.1000-3835.2011.02.051
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