Simulation of coating process: rheological approach in combination with artificial neural network.
IR@CFTRI: CSIR-Central Food Technological Research Institute, Mysore
View Archive Info| Field | Value | |
| Relation |
http://ir.cftri.com/6414/
JTS-02-07 |
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| Title |
Simulation of coating process: rheological approach in combination with artificial neural network.
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| Creator |
Suvendu, Bhattacharya
Patel, B. K. |
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| Subject |
18 Processed foods
05 Processing and Engineering |
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| Description |
The coating of foods is a complex process involving many variables, and obtaining repeatable results is difficult as the surface of foods varies widely because of the presence of pores, cracks and vacuoles. A simulation study using metal flakes is reported. Coating of cereal flakes with maltodextrin and/or malt dispersions containing 0-25% solids was simulated by measuring the adhesion to metal strips. The amount of coating was related to the rheological properties of the dispersion. Dispersions containing malt were shear-thinning liquids with yield stress, and obeyed the Herschel-Bulkley model (r <greater than or equal to> 0.98, P <less than or equal to> 0.01). Coating adhesion was quantified and explained as a dimensionless uptake. A system analytical model was proposed, which consisted of influencing variables (solids in the dispersion and rheological parameters) and influenced variables (adhesion characteristics) that were analysed by 2 artificial neural networks having configurations 3-28-12-4 and 4-9-9-3-3, respectively.
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| Date |
2007
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| Type |
Article
PeerReviewed |
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| Format |
application/pdf
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| Language |
en
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| Identifier |
http://ir.cftri.com/6414/1/Journal_of_Texture_Studies_38%285%29_2007_555-.pdf
Suvendu, Bhattacharya and Patel, B. K. (2007) Simulation of coating process: rheological approach in combination with artificial neural network. Journal of Texture Studies, 38 (5). pp. 555-576. |
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