A neuro-computing approach for modeling of residence time distribution (RTD) of carrot cubes in a vertical scraped surface heat exchanger (SSHE)

Food Research International

Volumn 33, Issue 7, 2000, Pages 549-556

  Chen, C R ^a   Ramaswamy, H S ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

ANN; Aseptic processing; Modeling; RTD; SSHE

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CARROT; COMPUTER MODEL; HEAT EXCHANGER; PARTICLE AGGLOMERATION; REGRESSION ANALYSIS;

EID: 0033940634     PISSN: 09639969     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0963-9969(00)00090-9     Document Type: Article

References (21)

1. Abdelrahim, K. A. (1994). Residence time distributions (RTD) of food particles and rheological properties of carrier fluids under aseptic processing conditions. PhD thesis, McGill University, Department of Food Science and Agricultural Chemistry.
2. Abdelrahim K.A., Ramaswamy H.S., Marcotte M., Toupin C.J. Residence time distribution (RTD) of carrot cubes in starch solutions in a polot scale aseptic processing system. Food Research International. 26:1993;431-441.
3. Abdelrahim K.A., Ramaswamy H.S., Marcotte M., Toupin C.J. Mathematical characterization of residence time distribution (RTD) curves of cubes in a pilot scale aseptic processing system. Lebensmittel.-Wissenschaft unt.-Technologie. 26:1993;498-504.
4. Alcairo E.R., Zuritz C.A. Residence time distribution of spherical particles suspended in non-Newtonian flow in scraped surface heat exchanger. Transactions of the ASAE. 33:1990;1621-1627.
5. Baughman D.R., Liu Y.A. Neural networks in bioprocessing and chemical engineering. 1995;New York, Academic Press.
6. Chen Y.R., Nguyen M., Park B. Neural network with principal component analysis for poultry carcass classification. Journal of Food Process Engineering. 21:1998;351-367.
7. Choi Y.S., Whittaker A.D., Bullock D.C. Predictive neuro-fuzzy controller for multivariate process control. Transactions of the ASAE. 39(4):1996;1535-1541.
8. Ding K., Gunasekaran S. Shape feature extraction and classification of food material using computer vision. Transactions of the ASAE. 37(5):1994;1537-1545.
9. Lee J.H., Singh R.K. Residence time distribution characteristic of particle flow in a vertical scraped surface heat exchanger. J. Food Engineering. 18:1991;413-424.
10. Lee J.H., Singh R.K. Particle residence time distribution in a model horizontal scraped surface heat exchanger. Journal of Food Process Engineering. 14:1993;125-146.
11. Manson J.E., Cullen J.F. Thermal process simulation for aseptic processing of foods containing discrete particulate matter. Journal of Food Science. 39:1974;1084-1089.
12. Ramaswamy H.S., Abdelrahim K.A., Marcotte M., Clavier P. Residence time distribution (RTD) characteristics of meat and carrot cubes in starch solutions in a vertical scraped surface heat exchanger (SSHE). Food Research International. 28:1995;273-284.
13. Ramaswamy H.S., Abdelrahim K.A., Simpson B.K., Smith J.P. Residence time distribution (RTD) in aseptic processing of particulate foods. a review Food Research International. 28:1995;291-310.
14. Ruan R., Almaer S., Zhang J. Prediction of dough rheological properties using neural networks. Cereal Chemistry. 72(3):1995;308-311.
15. Sablani S.S., Ramaswamy H.S., Sreekanth S., Prasher S.O. A neural network approach for thermal processing application. Journal of Food Processing and Preservation. 19(4):1995;283-301.
16. Sablani S.S., Ramaswamy H.S., Sreekanth S., Prasher S.O. Neural network modeling of heat transfer to liquid particle mixtures in cans subjected to end over-end processing. Food Research International. 30(2):1997;105-116.
17. Sastry S.K. Mathematical evaluation for process schedules for aseptic processing of low acid foods containing discrete particulates. Journal of Food Science. 51:1986;1323-1328.
18. Singh R.K., Lee J.H. Residence time distributions of foods with/without particulate in aseptic processing systems. Singh R.K., Nelson P.E. Advances in aseptic processing technologies. 1992;7-62 Elsevier Applied Science, London.
19. Sreekanth S., Ramaswamy H.S., Sablani S. Prediction of psychrometric parameters using neural networks. Drying Technology. 16(3-5):1998;825-837.
20. Taeymans, D., Roleans, E. & Lenges, J. (1986). Residence time distribution in a horizontal SSHE used for UH processing of liquids containing solids. In M. Le Maguer & P. Jelen, Food engineering and process applications, Vol 1. Transport phenomena. London: Elsevier Applied Sciences.
21. Tomlins K.I., Gay C. Prediction of quality and origin of black tea and pine resin samples from chromatographic and sensory information. evaluation of neural networks Food Chemistry. 50:1994;157-161.