GOALI: Improvements Spray Drying Manufacturing Through Control of Drop Size Distributions

目标：通过控制液滴尺寸分布改进喷雾干燥制造

• 批准号: 0323622
• 负责人: Paul Sojka
• 金额: $ 38万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-15 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0323622&HistoricalAwards=false
• 关键词: GOALI; Improvements; Spray; Drying; Manufacturing

The goals of this Grant Opportunities for Academic Liaison with Industry (GOALI) project are: (1) to improve spray dryer manufacturing processes by developing fundamental models for the design of advanced spray units that produce well-controlled drop size distributions; and (2) to address a current issue of fundamental concern to the spray research community, determining whether the maximum entropy formalism (MEF) or the discrete probability function method (DPF) is most appropriate for predicting drop size distributions under typical industrial conditions. Spray drying is a critical materials processing technology used in areas as diverse as pharmaceutical processing, pigment manufacture, and production of fertilizers and foodstuffs. While the range of product specifications (i.e., particle sizes) differs in each case, the underlying goal is to produce products having a narrow distribution of sizes centered about a targeted mean. Currently, procedures for designing spray dryers are ad hoc and require considerable trial and error, especially when scaling up from pilot to full-scale production. To accomplish the goals of this project, the aim is to fabricate a unique micro-spray system having well-controlled and measurable initial and boundary conditions so that model inputs describing fluctuations in manufacturing process operating variables (liquid supply pressure and unsteadiness in the surrounding gas environment), manufacturing tolerances associated with the machinery itself (variations in atomizer channel width and height), and material property differences (arising from compositional changes) can be evaluated. This work will have broad impacts on education, environment, energy, and the economy. The PhD students will gain from extended industrial experience in corporate R&D and design/production environments. Wastage in the production of foodstuffs will be reduced, which lowers both energy costs and pollutant emissions. Spray drying production efficiency will be enhanced, which lowers costs, thereby strengthening the US competitive position. The end result will be immediately useful design tools for the food processing industry.

该资助机会学术与工业联络 (GOALI) 项目的目标是：(1) 通过开发用于设计先进喷雾装置的基本模型来改进喷雾干燥机制造工艺，这些喷雾装置可产生良好控制的液滴尺寸分布； (2) 解决喷雾研究界当前最关心的一个问题，确定最大熵形式主义 (MEF) 还是离散概率函数方法 (DPF) 最适合预测典型工业条件下的液滴尺寸分布。 喷雾干燥是一种关键的材料加工技术，广泛应用于制药加工、颜料制造以及肥料和食品生产等领域。 虽然每种情况下产品规格（即颗粒尺寸）的范围不同，但根本目标是生产具有以目标平均值为中心的窄尺寸分布的产品。 目前，喷雾干燥机的设计程序是临时的，需要大量的试验和错误，特别是在从试点扩大到大规模生产时。 为了实现该项目的目标，目标是制造一种独特的微喷雾系统，该系统具有良好控制和可测量的初始条件和边界条件，以便模型输入描述制造过程操作变量（液体供应压力和周围气体的不稳定性）的波动可以评估与机械本身相关的制造公差（雾化器通道宽度和高度的变化）以及材料特性差异（由成分变化引起）。 这项工作将对教育、环境、能源和经济产生广泛影响。 博士生将从企业研发和设计/生产环境中获得丰富的行业经验。 食品生产中的浪费将减少，从而降低能源成本和污染物排放。 喷雾干燥的生产效率将得到提高，从而降低成本，从而加强美国的竞争地位。 最终结果将立即成为食品加工行业有用的设计工具。