کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
223476 | 464374 | 2013 | 12 صفحه PDF | دانلود رایگان |
A three-dimensional (3D) finite element model for simulating heat transfer during cooling of irregular-shaped ready-to-eat meat products was developed and validated. The heat transfer model considered conduction as the governing equation, subject to convection, radiation and moisture evaporation boundary conditions. A 3D finite element algorithm developed in Java™ was used to solve the model. The algorithm generated solutions for meshes containing 4-node tetrahedral volume elements and 3-node triangular boundary elements. Product geometries were generated from CT-scan images of the meat products. The model was adapted to receive input parameters that can be easily provided by a meat processors including air relative humidity, air temperature, air velocity, type of casing, duration of water shower, product weight, and estimated core temperature of product prior to entering the cooling chamber. Model validation was conducted in four commercial facilities, under normal processing conditions. Temperatures predicted by the model were in agreement with observed values. Average root-mean-square error (RMSE) was 1.19 ± 0.54 °C for core temperatures, 1.73 ± 0.48 °C for temperatures 0.05 m from core to surface, and 2.01 ± 1.01 °C for surface temperatures. The developed heat transfer model was integrated with predictive microbiology models through a food safety website: numodels4safety.unl.edu. The integration can be useful for estimating the severity of cooling deviations and resulting microbiological safety caused by unexpected cooling process disruptions.
► A heat transfer model for cooling of 3D irregular-shaped cooked meats was developed.
► The model was validated in commercial facilities under normal processing conditions.
► RMSE was 1.19 ± 0.54 °C for core temperatures and 2.01 ± 1.01 °C for surface temperatures.
► The model is available to use through a website: numodels4safety.unl.edu.
► The model can be used to support food safety management in the meat industry.
Journal: Journal of Food Engineering - Volume 116, Issue 2, May 2013, Pages 450–461