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QUANTITATIVE HEAT EXPOSURE RISK ASSESSMENT OF A SHIPMENT USING AN INSULATED BOX AND ICE

机译:使用绝缘盒和冰的定量热曝光风险评估货物

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The domestic transport of low volume perishable products within Australia is commonly conducted with the use of insulated boxes and non-refrigerated commercial courier networks. The temperature of the product during transport is governed by the balance of the environmental temperature versus the protection provided by the box's insulation and accompanying coolant (e.g. ice). While for any given day the box, product and coolant properties may be constant, the ability of that package to maintain appropriate product temperatures will be different, due to the day-to-day variations of environmental conditions. Current means of validating (or qualifying) insulated packages include measuring product temperature while exposed to a standard temperature regime or in an "extreme" or even "average" real life circumstance. In either case, these testing procedures do not identify or quantify the likelihood of product failure in a real system, where environmental conditions are different on a daily basis. This paper presents the use of climatic data to estimate environmental temperature and the subsequent use of this data in a heat transfer model to assess the likelihood of package failure. As an example, simulations of an insulated box holding 16 canned beverages packed with ice travelling by road from Sydney to Melbourne were performed for each of the 365 days of the calendar year. The data obtained allows for the quantification of rates of package failure and allows calculation of cost of failure and informed decisions on appropriate corrective action, and ultimately optimisation of the insulated box itself.
机译:澳大利亚内部低量易腐产品的国内运输通常是在使用绝缘盒和非冷藏商业传讯网络的情况下进行的。运输过程中产品的温度受环境温度的平衡与盒子绝缘和伴随冷却剂(例如冰)提供的保护。虽然对于任何给定的日,产品和冷却剂性能可能是恒定的,但由于环境条件的日常变化,该包装保持适当产品温度的能力将不同。验证(或合格)绝缘套件的当前方法包括测量产品温度,同时暴露于标准温度制度或在“极端”甚至“平均”现实生活环境中。在任何一种情况下,这些测试程序都不识别或量化真实系统中产品故障的可能性,环境条件每天都不同。本文介绍了气候数据来估计环境温度和随后在传热模型中使用这种数据,以评估包装失效的可能性。例如,为历史年的365天的每一个,为举办有16个罐装饮料的绝缘盒的模拟,搭配悉尼到墨尔本的冰。所获得的数据允许定量包装失败的速率,并允许计算失败的成本并在适当的纠正措施上计算出现明智的决策,并最终优化绝缘盒本身。

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