مدلسازی پدیده های حمل و نقل در طول تولید خنک کننده برای طراحی بسته بندی بهینه: تجزیه و تحلیل حساسیت حرارتی
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|26576||2012||11 صفحه PDF||سفارش دهید||محاسبه نشده|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Biosystems Engineering, Volume 111, Issue 3, March 2012, Pages 315–324
Mathematical modelling of transport phenomena was performed to assess the cooling of produce with respect to package design during forced convection cooling. Nine different vent designs including 1, 2, 3 and 5 vents corresponding to 4 different vent areas of 2.4, 4.8, 7.2 and 12.1%, respectively, were simulated. More uniform produce cooling with less cooling time was obtained where there were properly distributed vents on package walls with enough opening area. Experimental validations were performed considering produce centre temperature at 4 positions inside 3 different ventilated packages. Good agreement between experimental and simulated temperatures was obtained with mean absolute error of 2.2 °C considering all the 3 vent configurations. The study showed that for a suitable package design, with respect to different vent areas and positions on package walls, it is necessary to consider both produce cooling time as well as cooling uniformity during the cooling operation.
Precooling of fruit and vegetables is among the most cost-effective and efficient quality preservation methods for retarding ripening and controlling microbial processes. It is available to commercial crops and is the most essential of all the value-added marketing services demanded by increasingly more sophisticated consumers (Baird and Gaffney, 1976, Brosnan and Sun, 2001, He and Li, 2003 and Sullivan et al., 1996). Forced convection precooling processes are commonly used to decrease agricultural produce temperature following harvest (Castro et al., 2005, Kader, 2002 and Kumar et al., 2008). To maintain optimum quality of the commodities during storage or transportation (Rodriguez-Bermejo, Barreiro, Robla, & Ruiz-Garcia, 2007), the process should provide uniform cooling throughout the stacked produce during the treatment (Goyette, Vigneault, Panneton, & Raghavan, 1996). However, heterogeneous airflow distribution at different locations in the package occurs resulting in produce deterioration and shrivelling during storage (Alvarez et al., 2003, Alvarez and Flick, 1999, Ben Amara et al., 2004, Castro et al., 2004, Gowda et al., 1997 and Smale et al., 2003). In practice, experiential combinations of air temperature and velocity are chosen by designers to rapidly cool the produce to a suitable temperature. This is because the thermal performance of containers is neither supplied, nor considered, in package design due to the lack of available tools. A more logical approach to designing new packages is to develop a model that would be able to predict package performance rather than requiring costly experiments. The airflow and heat transfer models in the literature during forced convection cooling process have not considered the effects of package vent design, including vent area and position, on produce cooling uniformity (Ferrua and Singh, 2008, Opara and Zou, 2007, Zou et al., 2006a and Zou et al., 2006b). Opara & Zou (2007) applied sensitivity analysis using a computational fluid dynamics (CFD) model to study the effect of variations in package vent area and position during the forced convection cooling process. The authors noticed some considerable variations in produce cooling rate. However, the effect of multiple vents on cooling uniformity considering different vent area and position was not examined in the study. Dehghannya, Ngadi, and Vigneault (2008) developed and experimentally validated a mathematical model of airflow and heat transfer for aerodynamic analysis during forced-air precooling inside ventilated packages. Direct numerical simulations and analysed velocity distributions were applied and their resultant airflow heterogeneity indices inside different ventilated packages. However, temperature distribution at different positions of the packages was not considered. Dehghannya, Ngadi, and Vigneault (2010) critically reviewed comprehensive and detailed mathematical modelling procedures for the airflow, heat and mass transfer occurred during forced convection cooling of produce in order to optimise the cooling process. Two main modelling procedures used during the process, namely the porous medium approach and direct numerical simulation, were extensively explored in the study. In a further study, Dehghannya, Ngadi, and Vigneault (2011) simulated and analysed temperature distributions inside different ventilated packages so that more uniform temperature distribution could be achieved during the process. The results of the investigation confirmed that produce temperature distribution is influenced by different ventilated package designs. It was also shown that produce cooling uniformity is increased by increasing number of vents. In the present study, a sensitivity analysis was conducted. In addition to packages with different number of vents, packages with the same number of vents but different vent distributions on package walls were considered. This was to investigate the simultaneous effect of the vent numbers and the vent distribution on produce cooling efficiency during the forced-air precooling process. Thus, the aim of this study was to assess sensitivity of produce cooling uniformity and cooling time with respect to package vent design during forced convection cooling of produce. The effect of different package designs including various vent areas and positions on produce cooling were considered.
نتیجه گیری انگلیسی
Coupled mathematical modelling of airflow and heat transfer was used to investigate produce cooling during forced convection cooling process considering nine different package vent configurations. Considerable differences were obtained for different package vent configurations regarding produce temperature distribution, cooling heterogeneity and cooling time. It was shown that a certain number of vents, together with their distribution on the package walls, can provide suitable air pathways and therefore provide uniform cooling. Additionally, it was confirmed that increasing vent area does not necessarily shorten the cooling time and it can even increase the time of cooling if the vents are not properly distributed on package walls. Consequently, increasing vent area beyond a specific level cannot have a positive effect on cooling uniformity and time. Less cooling time, together with less cooling heterogeneity, can be achieved by suitable package designs to provide an efficient forced convection cooling process.