ANN model for the prediction of density in Selective Laser Sintering

International Journal of Manufacturing Research

Volumn 4, Issue 3, 2009, Pages 362-373

  Wang, Rong Ji ^a   Li, Jianbing ^a   Wang, Fenghua ^a   Li, Xinhua ^a   Wu, Qingding ^a  

^a CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY   (China)

Author keywords

ANN; Artificial neural network; Density; Process parameter; Selective laser sintering; SLS

Indexed keywords

BACKPROPAGATION ALGORITHMS; DENSITY (SPECIFIC GRAVITY); FEEDFORWARD NEURAL NETWORKS; LASER HEATING; NEURAL NETWORKS; SINTERING;

EXPERIMENTAL INVESTIGATIONS; FEED-FORWARD TOPOLOGY; LAYER THICKNESS; PROCESS PARAMETERS; SCANNING MODE; SCANNING SPEED; SELECTIVE LASER SINTERING(SLS); WORKING ENVIRONMENT;

SELECTIVE LASER SINTERING;

EID: 67649616602     PISSN: 17500591     EISSN: 17500605     Source Type: Journal    
DOI: 10.1504/IJMR.2009.026579     Document Type: Article

References (12)

1. Alva, E.T. and Childs, H.C. (2001) 'Density prediction of crystalline polymer sintered parts at various powder bed temperatures', Rapid Prototyping Journal, Vol. 7, pp.180-184.
2. Boillatl, E., Kolossovl, S. and Glardonlet, R. (2004) 'Finite element and neural network models for process optimization in selective laser sintering', Proc. Instn Mech. Engrs. Part B: J. Engineering Manufacture, Italien, Vol. 218, pp.607-614.
3. Ian, G. and Dongping, S. (1997) 'Material properties and fabrication parameters in selective laser sintering process', Rapid Prototyping Journal, Vol. 3, pp.129-135.
4. Kolosov, S., Vansteenkiste, G. and Boudeau, N. (2006) 'Homogeneity aspects in selective laser sintering (SLS)', Journal of Materials Processing Technology, Vol. l77, pp.348-351.
5. Martin, T.H. and Howard, B.D. (2002) Neural Network Design, China Machine Press, Beijing.
6. Monideepa, M., Shiv, B.S. and Omkar, N.M. (2006) 'Neural network analysis of strain induced transformation behaviour of retained austenite in TRIP-aided steels', Materials Science and Engineering A Vol. 434, pp.237-245.
7. Pelletier, B. (2003) 'Neural network fields', IEEE 13th Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TN8778), pp.167-176.
8. Ragunath, N. and Pandey, P.M. (2007) 'Improving accuracy through shrinkage modelling by using Taguchi method in selective laser sintering', International Journal of Machine Tools and Manufacture Vol. 47, No. 6, pp.985-995.
9. Shi, Y., Zhong, Q. and Chen, X. (2002) 'Research and implement of a new kind of scanning mode for selective laser sintering', Chi Hsieh Kung Ch'eng Hsueh Pao, Vol. 38, pp.35-39.
10. Tiebing, C. and Yuwen, Z. (2006) 'A partial shrinkage model for selective laser sintering of a two-component metal powder layer', International Journal of heat and Mass, Vol. 49, pp.1489-1492.
11. Williams, J.D. and Deckard, C.R. (1998) 'Advances in modeling the effects of selected parameters on the SLS process', Rapid Prototyping Journal, Vol. 4, pp.90-96.
12. Zarringhalam, H., Hopkinson, N. and Kampermanb, N.F. (2006) 'Effects of processing on microstructure and properties of SLS Nylon 12', Materials Science Engineering, Vols. A 435-436, pp.172-180.