메뉴 건너뛰기




Volumn 25, Issue 6, 2009, Pages 909-916

The scope of artificial neural network metamodels for precision casting process planning

Author keywords

Casting parameters; Investment casting; Neural networks

Indexed keywords

AREA RATIOS; ARTIFICIAL NEURAL NETWORK; CASTING CONDITIONS; CASTING PARAMETERS; CASTING SIMULATION SOFTWARE; EXPANDABILITY; FEED-FORWARD ARTIFICIAL NEURAL NETWORKS; FEEDING POINTS; GENERALISATION; INPUT PARAMETER; MELTING TEMPERATURES; META MODEL; MOULD TEMPERATURE; PART GEOMETRY; PREDICTIVE CAPABILITIES; PRODUCT QUALITY; SIMULATION RESULT; SOFTWARE SIMULATION; SURFACE AREA; USER FRIENDLY INTERFACE; WORK PIECES;

EID: 68949218896     PISSN: 07365845     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rcim.2009.04.018     Document Type: Article
Times cited : (13)

References (20)
  • 1
    • 9244258549 scopus 로고    scopus 로고
    • Analysis of cooling channels performance
    • Norwood A.J., and Dickens P.M. Analysis of cooling channels performance. Int J Comput Integr Manuf 17 8 (2004) 669-678
    • (2004) Int J Comput Integr Manuf , vol.17 , Issue.8 , pp. 669-678
    • Norwood, A.J.1    Dickens, P.M.2
  • 3
    • 27744523910 scopus 로고    scopus 로고
    • Variant process planning of castings using AHP-based nearest neighbour algorithm for case retrieval
    • Chougule R.G., and Ravi B. Variant process planning of castings using AHP-based nearest neighbour algorithm for case retrieval. Int J Prod Res 43 6 (2005) 1255-1273
    • (2005) Int J Prod Res , vol.43 , Issue.6 , pp. 1255-1273
    • Chougule, R.G.1    Ravi, B.2
  • 4
    • 0036507925 scopus 로고    scopus 로고
    • Rapid manufacturability evaluation of die-cast components
    • Park K.M., and Pochiraju K. Rapid manufacturability evaluation of die-cast components. Concurrent Eng: Res Appl 10 1 (2002) 67-74
    • (2002) Concurrent Eng: Res Appl , vol.10 , Issue.1 , pp. 67-74
    • Park, K.M.1    Pochiraju, K.2
  • 5
    • 0030414631 scopus 로고    scopus 로고
    • Possibilistic multi-response quality design
    • Lai Y.-J. Possibilistic multi-response quality design. Int J Prod Res 34 12 (1996) 3341-3359
    • (1996) Int J Prod Res , vol.34 , Issue.12 , pp. 3341-3359
    • Lai, Y.-J.1
  • 8
    • 0344687364 scopus 로고    scopus 로고
    • Assimilation of knowledge for a copper alloy casting defect expert system
    • Ate M., Yamaguchi I., and Ohnaka I. Assimilation of knowledge for a copper alloy casting defect expert system. Int J Comput Appl Technol 19 1 (2004) 1-11
    • (2004) Int J Comput Appl Technol , vol.19 , Issue.1 , pp. 1-11
    • Ate, M.1    Yamaguchi, I.2    Ohnaka, I.3
  • 9
    • 0035127746 scopus 로고    scopus 로고
    • Applications of optimisation in metal casting
    • Singh D.P.K., and Vijayaraghavan R. Applications of optimisation in metal casting. Int J Veh Des 25 1-2 (2001) 40-52
    • (2001) Int J Veh Des , vol.25 , Issue.1-2 , pp. 40-52
    • Singh, D.P.K.1    Vijayaraghavan, R.2
  • 10
    • 0033626910 scopus 로고    scopus 로고
    • Casting shape optimisation via process modelling
    • Lewis R.W., and Manzari M.T. Casting shape optimisation via process modelling. MaterDes 21 4 (2000) 381-386
    • (2000) MaterDes , vol.21 , Issue.4 , pp. 381-386
    • Lewis, R.W.1    Manzari, M.T.2
  • 11
    • 0031651550 scopus 로고    scopus 로고
    • The runner optimisation design of a die-casting die and the part produced
    • Lin J.C., and Tai C.C. The runner optimisation design of a die-casting die and the part produced. Int J Adv Manuf Technol 14 2 (1998) 133-145
    • (1998) Int J Adv Manuf Technol , vol.14 , Issue.2 , pp. 133-145
    • Lin, J.C.1    Tai, C.C.2
  • 12
    • 28544445673 scopus 로고    scopus 로고
    • Simulation-based selection of optimum pressure die casting process parameters using neural nets and genetic algorithms
    • Krimpenis A., Benardos P., Vosniakos G.-C., and Koukouvitaki A. Simulation-based selection of optimum pressure die casting process parameters using neural nets and genetic algorithms. Int J Adv Manuf Technol 27 5-6 (2006) 509-517
    • (2006) Int J Adv Manuf Technol , vol.27 , Issue.5-6 , pp. 509-517
    • Krimpenis, A.1    Benardos, P.2    Vosniakos, G.-C.3    Koukouvitaki, A.4
  • 14
    • 0032205695 scopus 로고    scopus 로고
    • Static neural network process models: considerations and case studies
    • Coit D.W., Jackson B.T., and Smith A.E. Static neural network process models: considerations and case studies. Int J Prod Res 36 11 (1998) 2953-2967
    • (1998) Int J Prod Res , vol.36 , Issue.11 , pp. 2953-2967
    • Coit, D.W.1    Jackson, B.T.2    Smith, A.E.3
  • 15
    • 0036218270 scopus 로고    scopus 로고
    • Selection of the optimal gate location for a die-casting die with a freeform surface
    • Lin J.C. Selection of the optimal gate location for a die-casting die with a freeform surface. Int J Adv Manuf Technol 19 4 (2002) 278-284
    • (2002) Int J Adv Manuf Technol , vol.19 , Issue.4 , pp. 278-284
    • Lin, J.C.1
  • 16
    • 0034627923 scopus 로고    scopus 로고
    • Prediction of die casting process parameters by using an artificial neural network model for zinc alloys
    • Yarlagadda P.K.D.V. Prediction of die casting process parameters by using an artificial neural network model for zinc alloys. Int J Prod Res 38 1 (2000) 119-139
    • (2000) Int J Prod Res , vol.38 , Issue.1 , pp. 119-139
    • Yarlagadda, P.K.D.V.1
  • 20
    • 33847675397 scopus 로고    scopus 로고
    • Optimising feedforward artificial neural network architecture
    • Benardos P.G., and Vosniakos G.-C. Optimising feedforward artificial neural network architecture. Eng Appl Artif Intell 20 3 (2007) 365-382
    • (2007) Eng Appl Artif Intell , vol.20 , Issue.3 , pp. 365-382
    • Benardos, P.G.1    Vosniakos, G.-C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.