Applied Statistics in Polymer Reaction Engineering

高分子反应工程中的应用统计学

• 批准号: 105672-2013
• 负责人: Duever, Thomas
• 金额: $ 1.82万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=569098
• 关键词: Applied; Statistics; Polymer; Reaction; Engineering

This research program develops and applies statistical methods that assist in the collection and analysis of data required to develop mathematical models of chemical processes. The resulting models are used for various purposes including the design, optimization and control of chemical processes to ensure that they are operated safely and profitably. The techniques can also be used to design new products such as disinfectants for hospital applications. They also act as a repository of our process knowledge and are used to guide further experimentation to develop new information for new processes and products. One of the primary application areas is the production of polymers, which are used to produce a large number of commodities such as paints, adhesives, carpets, automotive parts such as bumpers and belts and hoses, and food wrap. The problem of designing experiments to provide high quality informative data and the development of methods for bringing these data into process models, which represent what we know about a product or process, are two vitally important problems. Decisions made on the basis of information-poor data or incorrect inferential procedures will lead to decisions, which are based on little more than speculation. This can have a detrimental effect on the profitability of a company, on the safety and environmental impacts of a process or product and ultimately on the health of the employees and the public.

这项研究计划开发和应用统计方法，帮助收集和分析开发化学过程数学模型所需的数据。由此产生的模型用于各种目的，包括设计、优化和控制化学过程，以确保它们安全和有利可图地运行。这些技术还可以用于设计新产品，如医院应用的消毒剂。它们还充当我们工艺知识的储存库，并用于指导进一步的试验，为新工艺和产品开发新信息。主要应用领域之一是聚合物的生产，用于生产大量商品，如油漆、粘合剂、地毯、汽车零部件(如保险杠、皮带和软管)以及食品包装。 设计实验以提供高质量的信息数据的问题和将这些数据引入过程模型的方法的开发是两个至关重要的问题。过程模型代表了我们对产品或过程的了解。根据缺乏信息的数据或错误的推理程序做出的决定将导致决策，而这些决策只不过是基于猜测。这可能会对公司的盈利能力、过程或产品的安全和环境影响以及最终对员工和公众的健康产生不利影响。