[1] |
SILVA C C, DE MIRANDA H C, MOTTA M F, et al.New insight on the solidification path of an alloy 625 weld overlay [J]. Journal of Materials Research and Technology, 2013, 2(3): 228-237.
|
[2] |
GUO L L, ZHENG H L, LI Y Q, et al. Microstructure and performance of Inconel 625 cladding deposited by hot wire pulsed TIG [J]. China Surface Engineering,2016, 29(2): 77-84 (in Chinese).
|
[3] |
DINDA G P, DASGUPTA A K, MAZUMDER J. Laser aided direct metal deposition of Inconel 625 superalloy:Microstructural evolution and thermal stability [J]. Materials Science and Engineering: A, 2009,509(1/2): 98-104.
|
[4] |
XING X X, DI X J,WANG B S. The effect of post-weld heat treatment temperature on the microstructure of Inconel 625 deposited metal [J]. Journal of Alloys and Compounds, 2014, 593: 110-116.
|
[5] |
GUO L L, ZHENG H L, LIU S H, et al. Formation quality optimization and corrosion performance of Inconel 625 weld overlay using hot wire pulsed TIG [J].Rare Metal Materials and Engineering, 2016, 45(9): 2219-2226.
|
[6] |
ABIOYE T E, MCCARTNEY D G, CLARE A T. Laser cladding of Inconel 625 wire for corrosion protection[J]. Journal of Materials Processing Technology,2015, 217: 232-240.
|
[7] |
RAJANI H R Z,MOUSAVI S A A A, SANI F M. Comparison of corrosion behavior between fusion cladded and explosive cladded Inconel 625/plain carbon steel bimetal plates [J]. Materials and Design, 2013, 43:467-474.
|
[8] |
KIM J S, PARK Y I, LEE H W. Effects of heat input on the pitting resistance of Inconel 625 welds by overlay welding [J]. Metals and Materials International,2015, 21(2): 350-355.
|
[9] |
DUPONT J N. Solidification of an Alloy 625 weld overlay [J]. Metallurgical and Materials Transactions A,1996, 27(11): 3612-3620.
|
[10] |
ABIOYE T E, FOLKES J, CLARE A T. A parametric study of Inconel 625 wire laser deposition [J]. Journal of Materials Processing Technology, 2013, 213(12):2145-2151.
|
[11] |
KIM J S, LEE H W. A study on effect of intergranular corrosion by heat input on Inconel 625 overlay weld metal [J]. International Journal of Electrochemical Science, 2015, 10(8): 6454-6464.
|
[12] |
LIANG E B, HU S S, WANG Z J. Optimization of GTAW cladding process of Inconel 625 on carbon steel using response surface methodology [J]. Transactions of the China Welding Institution, 2016, 37(6): 85-88 (in Chinese).
|
[13] |
KUMAR T S, BALASUBRAMANIAN V, SANAVULLAH M Y. Influences of pulsed current tungsten inert gas welding parameters on the tensile properties of AA6061 aluminium alloy [J]. Materials and Design, 2007,28(7): 2080-2092.
|
[14] |
GUO L L, HE Y T, JU L Y, et al. Progress in additive manufacturing technique based on pulsed TIG [J].Journal of Materials Engineering, 2018, 46(12): 10-17(in Chinese).
|
[15] |
MADADI F, ASHRAFIZADEH F, SHAMANIAN M.Optimization of pulsed TIG cladding process of stellite alloy on carbon steel using RSM [J]. Journal of Alloys and Compounds, 2012, 510(1): 71-77.
|
[16] |
GHOSH P K, KUMAR R. Surface modification of micro-alloyed high-strength low-alloy steel by controlled TIG arcing process [J]. Metallurgical and Materials Transactions A, 2015, 46(2): 831-842.
|
[17] |
GUO L L, ZHENG H L, LIU S H, et al. Effect of heat treatment temperatures on microstructure and corrosion properties of Inconel 625 weld overlay deposited by PTIG [J]. International Journal of Electrochemical Science, 2016, 11(7): 5507-5519.
|
[18] |
QI B J, YANG M X, CONG B Q, et al. The effect of arc behavior on weld geometry by high-frequency pulse GTAW process with 0Cr18Ni9Ti stainless steel [J]. The International Journal of Advanced Manufacturing Technology, 2013, 66: 1545-1553.
|
[19] |
WEN P, FENG Z H, ZHENG S Q. Formation quality optimization of laser hot wire cladding for repairing martensite precipitation hardening stainless steel [J].Optics and Laser Technology, 2015, 65: 180-188.
|
[20] |
SHAHI A S, PANDEY S. Modelling of the effects of welding conditions on dilution of stainless steel claddings produced by gas metal arc welding procedures[J]. Journal of Materials Processing Technology,2008, 196(1/2/3): 339-344.
|
[21] |
PETKOVI′C D. Prediction of laser welding quality by computational intelligence approaches [J]. Optik, 2017,140: 597-600.
|
[22] |
ALAMANIOTIS M, MATHEW J, CHRONEOS A, et al. Probabilistic kernel machines for predictive monitoring of weld residual stress in energy systems [J]. Engineering Applications of Artificial Intelligence, 2018,71: 138-154.
|
[23] |
ZHANG Z F, ZHONG J Y, CHEN Y X, et al. Feature extraction and modeling of welding quality monitoring in pulsed gas touch argon welding based on arc voltage signal [J]. Journal of Shanghai Jiao Tong University(Science), 2014, 19(1): 11-16.
|
[24] |
YOUSEFIEH M, SHAMANIAN M, SAATCHI A. Optimization of experimental conditions of the pulsed current GTAW parameters for mechanical properties of SDSS UNS S32760 welds based on the Taguchi design method [J]. Journal of Materials Engineering and Performance, 2012, 21(9): 1978-1988.
|
[25] |
GIRIDHARAN P K, MURUGAN N. Optimization of pulsed GTA welding process parameters for the welding of AISI 304L stainless steel sheets [J]. The International Journal of Advanced Manufacturing Technology,2009, 40: 478-489.
|
[26] |
BABU S, KUMAR T S, BALASUBRAMANIAN V. Optimizing pulsed current gas tungsten arc welding parameters of AA6061 aluminium alloy using Hooke and Jeeves algorithm [J]. Transactions of Nonferrous Metals Society of China, 2008, 18(5):1028-1036.
|
[27] |
GOMES J H F, PAIVA A P, COSTA S C, et al. Weighted Multivariate Mean Square Error for processes optimization: A case study on flux-cored arc welding for stainless steel claddings [J]. European Journal of Operational Research, 2013, 226(3): 522-535.
|
[28] |
DAS B, PAL S, BAG S. Torque based defect detection and weld quality modelling in friction stir welding process [J]. Journal of Manufacturing Processes, 2017,27: 8-17.
|
[29] |
HUANG X X, SHI F H, GU W, et al. SVM-based fuzzy rules acquisition system for pulsed GTAW process [J]. Engineering Applications of Artificial Intelligence,2009, 22(8): 1245-1255.
|
[30] |
DAS B, PAL S, BAG S. A combined wavelet packet and Hilbert-Huang transform for defect detection and modelling of weld strength in friction stir welding process[J]. Journal of Manufacturing Processes, 2016, 22:260-268.
|
[31] |
KOO Y D, YOO K H, NA M G. Estimation of residual stress in welding of dissimilar metals at nuclear power plants using cascaded support vector regression[J]. Nuclear Engineering and Technology, 2017, 49(4):817-824.
|
[32] |
CORTES C, VAPNIK V. Support-vector networks [J].Machine Learning, 1995, 20(3): 273-297.
|
[33] |
EDWIN RAJA DHAS J, KUMANAN S. Evolutionary fuzzy SVR modeling of weld residual stress [J]. Applied Soft Computing, 2016, 42: 423-430.
|
[34] |
MA H B, WEI S C, LIN T, et al. Mixed logical dynamical model for back bead width prediction of pulsed GTAW process with misalignment [J]. Journal of Materials Processing Technology, 2010, 210(14): 2036-2044.
|
[35] |
PAI P F, HONG W C. Software reliability forecasting by support vector machines with simulated annealing algorithms [J]. Journal of Systems and Software, 2006,79(6): 747-755.
|
[36] |
PAI P F. System reliability forecasting by support vector machines with genetic algorithms [J]. Mathematical and Computer Modelling, 2006, 43(3/4): 262-274.
|
[37] |
KEERTHI S S, LIN C J. Asymptotic behaviors of support vector machines with Gaussian kernel [J]. Neural Computation, 2003, 15(7): 1667-1689.
|
[38] |
EL-ABBASY M S, SENOUCI A, ZAYED T, et al. Artificial neural network models for predicting condition of offshore oil and gas pipelines [J]. Automation in Construction, 2014, 45: 50-65.
|
[39] |
KARTHIKEYAN R, BALASUBRAMANIAN V. Predictions of the optimized friction stir spot welding process parameters for joining AA2024 aluminum alloy using RSM [J]. The International Journal of Advanced Manufacturing Technology, 2010, 51: 173-183.
|