메뉴 건너뛰기




Volumn 48, Issue 5, 2010, Pages 519-525

The prediction of the building precision in the Laser Engineered Net Shaping process using advanced networks

Author keywords

Depositing height; Laser Engineered Net Shaping; Least square support vector machine; Technology parameter

Indexed keywords

ADAPTIVE LEARNING RATES; ADVANCED MANUFACTURING TECHNOLOGIES; ADVANCED NETWORKS; FORMING PROCESS; GENERALIZATION ABILITY; HIGH DEFINITION; LASER ENGINEERED NET SHAPING; LASER POWER; LEAST SQUARE SUPPORT VECTOR MACHINES; MAIN PARAMETERS; MOMENTUM COEFFICIENT; PERFORMANCE INDICES; POWDER FEEDING; SCANNING SPEED; SINGLE-TRACKS; TECHNOLOGY PARAMETERS; THIN-WALLED PARTS; TRAINING SAMPLE;

EID: 77249104454     PISSN: 01438166     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.optlaseng.2010.01.002     Document Type: Article
Times cited : (79)

References (22)
  • 2
    • 33644984611 scopus 로고    scopus 로고
    • Microstructure and phase evolution in laser rapid forming of a functionally graded Ti-Rene88DT alloy
    • Lin X., Yue T.M., Yang H.O., and Huang W.D. Microstructure and phase evolution in laser rapid forming of a functionally graded Ti-Rene88DT alloy. Acta Mater 54 (2006) 1901-1915
    • (2006) Acta Mater , vol.54 , pp. 1901-1915
    • Lin, X.1    Yue, T.M.2    Yang, H.O.3    Huang, W.D.4
  • 3
    • 13844276569 scopus 로고    scopus 로고
    • Binding mechanisms in selective laser sintering and selective laser melting
    • Kruth J.P., Mercelis P., and Van Vaerenbergh J. Binding mechanisms in selective laser sintering and selective laser melting. Rapid Prototyping J 11 1 (2005) 26-36
    • (2005) Rapid Prototyping J , vol.11 , Issue.1 , pp. 26-36
    • Kruth, J.P.1    Mercelis, P.2    Van Vaerenbergh, J.3
  • 4
    • 11344291836 scopus 로고    scopus 로고
    • Effects of powder concentration distribution on fabrication of thin-wall parts in coaxial laser cladding
    • Liu J., and Li L. Effects of powder concentration distribution on fabrication of thin-wall parts in coaxial laser cladding. Opt Laser Technol 37 (2005) 287-292
    • (2005) Opt Laser Technol , vol.37 , pp. 287-292
    • Liu, J.1    Li, L.2
  • 5
    • 33846815062 scopus 로고    scopus 로고
    • Direct laser fabrication of thin-walled metal parts under open-loop control
    • Peng L., Shengqin J., Xiaoyan Z., Qianwu H., and Weihao X. Direct laser fabrication of thin-walled metal parts under open-loop control. IET Sci Meas Technol 47 (2007) 996-1002
    • (2007) IET Sci Meas Technol , vol.47 , pp. 996-1002
    • Peng, L.1    Shengqin, J.2    Xiaoyan, Z.3    Qianwu, H.4    Weihao, X.5
  • 6
    • 67650215352 scopus 로고    scopus 로고
    • Optimizing process parameters for selective laser sintering based on neural network and genetic algorithm
    • doi:10.1007/s00170-008-1669-0
    • Rong-Ji Wang, Xin-hua Li, Qing-ding Wu, Lingling Wang. Optimizing process parameters for selective laser sintering based on neural network and genetic algorithm. Int J Adv Manuf Technol 2008, doi:10.1007/s00170-008-1669-0
    • (2008) Int J Adv Manuf Technol
    • Wang, R.-J.1    Li, X.-H.2    Wu, Q.-D.3    Wang, L.4
  • 7
    • 0036408926 scopus 로고    scopus 로고
    • Parameter selection by an artificial neural network for a laser bending process
    • Casalino G., and Ludovico A.D. Parameter selection by an artificial neural network for a laser bending process. P I Mech Eng B-J Eng 216 11 (2002) 1517-1520
    • (2002) P I Mech Eng B-J Eng , vol.216 , Issue.11 , pp. 1517-1520
    • Casalino, G.1    Ludovico, A.D.2
  • 8
    • 0037251064 scopus 로고    scopus 로고
    • A study on effects of process parameters in prototyping
    • Frances D.B., Sui G.H., and Ming C.L. A study on effects of process parameters in prototyping. Rapid Prototyping J 9 1 (2003) 19-23
    • (2003) Rapid Prototyping J , vol.9 , Issue.1 , pp. 19-23
    • Frances, D.B.1    Sui, G.H.2    Ming, C.L.3
  • 9
    • 0035311654 scopus 로고    scopus 로고
    • On the modelling of nonlinear dynamic systems using support vector neural networks
    • Chan W.C., Chan C.W., Cheung K.C., and Harris C.J. On the modelling of nonlinear dynamic systems using support vector neural networks. Eng Appl Artif Intell 14 (2001) 105-113
    • (2001) Eng Appl Artif Intell , Issue.14 , pp. 105-113
    • Chan, W.C.1    Chan, C.W.2    Cheung, K.C.3    Harris, C.J.4
  • 10
    • 64249165543 scopus 로고    scopus 로고
    • Laser cladding height prediction based on neural network
    • Jiang S., Liu W., and Nan L. Laser cladding height prediction based on neural network. J Mech Eng 45 3 (2009) 269-274
    • (2009) J Mech Eng , vol.45 , Issue.3 , pp. 269-274
    • Jiang, S.1    Liu, W.2    Nan, L.3
  • 11
    • 34548245002 scopus 로고    scopus 로고
    • Improved BP neural network for transformer fault diagnosis
    • Sun Y., Zhang S., Miao C., and Li J. Improved BP neural network for transformer fault diagnosis. J China Univ Min Technol 17 1 (2007) 138-142
    • (2007) J China Univ Min Technol , vol.17 , Issue.1 , pp. 138-142
    • Sun, Y.1    Zhang, S.2    Miao, C.3    Li, J.4
  • 12
    • 0032638628 scopus 로고    scopus 로고
    • Least squares support vector machine classifiers
    • Suykens J.A.K., and Vandewalle J. Least squares support vector machine classifiers. Neural Process Lett 9 3 (1999) 293-300
    • (1999) Neural Process Lett , vol.9 , Issue.3 , pp. 293-300
    • Suykens, J.A.K.1    Vandewalle, J.2
  • 14
    • 31744447275 scopus 로고    scopus 로고
    • Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference
    • Vong C.M., Wong P.K., and Li Y.P. Prediction of automotive engine power and torque using least squares support vector machines and Bayesian inference. Eng Appl Artif Intell 19 (2006) 277-287
    • (2006) Eng Appl Artif Intell , vol.19 , pp. 277-287
    • Vong, C.M.1    Wong, P.K.2    Li, Y.P.3
  • 16
    • 33846844788 scopus 로고    scopus 로고
    • Tool wear predictive model based on least squares support vector machines
    • Shi D., and Gindy N.N. Tool wear predictive model based on least squares support vector machines. Mech Syst Signal Process 21 (2007) 1799-1814
    • (2007) Mech Syst Signal Process , vol.21 , pp. 1799-1814
    • Shi, D.1    Gindy, N.N.2
  • 17
    • 40649092045 scopus 로고    scopus 로고
    • Low rank updated LS-SVM classifiers for fast variable selection
    • Ojeda F., Suykens J.A.K., and De Moor B. Low rank updated LS-SVM classifiers for fast variable selection. Neural Networks 21 (2008) 437-449
    • (2008) Neural Networks , vol.21 , pp. 437-449
    • Ojeda, F.1    Suykens, J.A.K.2    De Moor, B.3
  • 18
    • 60249100480 scopus 로고    scopus 로고
    • Application of least square support vector machines in the prediction of aeration performance of plunging overfall jets from weirs
    • Baylar A., Hanbay D., and Batan M. Application of least square support vector machines in the prediction of aeration performance of plunging overfall jets from weirs. Expert Syst Appl 36 (2009) 8368-8374
    • (2009) Expert Syst Appl , vol.36 , pp. 8368-8374
    • Baylar, A.1    Hanbay, D.2    Batan, M.3
  • 19
    • 34547501982 scopus 로고    scopus 로고
    • RRS+LSSVM: a new strategy for "a priori" sample selection
    • Carvalho B.P.R., Lacerda W.S., and Braga A.D.P. RRS+LSSVM: a new strategy for "a priori" sample selection. Neural Comput Appl 16 (2007) 227-234
    • (2007) Neural Comput Appl , vol.16 , pp. 227-234
    • Carvalho, B.P.R.1    Lacerda, W.S.2    Braga, A.D.P.3
  • 20
    • 0035181296 scopus 로고    scopus 로고
    • Optimal control by least squares support vector machines
    • Suykens J.A.K., Vandewalle J., and De Moor B. Optimal control by least squares support vector machines. Neural Networks 14 (2001) 23-35
    • (2001) Neural Networks , vol.14 , pp. 23-35
    • Suykens, J.A.K.1    Vandewalle, J.2    De Moor, B.3
  • 21
    • 58349104329 scopus 로고    scopus 로고
    • Multiclass least-squares support vector machines for analog modulation classification
    • Sengur A. Multiclass least-squares support vector machines for analog modulation classification. Expert Syst Appl 36 3 (2009) 6681-6685
    • (2009) Expert Syst Appl , vol.36 , Issue.3 , pp. 6681-6685
    • Sengur, A.1
  • 22
    • 41849109878 scopus 로고    scopus 로고
    • Modelling a ground-coupled heat pump system by a support vector machines
    • Esen H., Inalli M., Sengur A., and Esen M. Modelling a ground-coupled heat pump system by a support vector machines. Renewable Energy 33 8 (2008) 1814-1823
    • (2008) Renewable Energy , vol.33 , Issue.8 , pp. 1814-1823
    • Esen, H.1    Inalli, M.2    Sengur, A.3    Esen, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.