GOALI: Reliability-Based Design and Operation of Metal Rolling Mills using Bayesian Theory and a New Rolling Model

GOALI：使用贝叶斯理论和新轧制模型进行基于可靠性的金属轧机设计和操作

• 批准号: 1100651
• 负责人: Arif Malik
• 金额: $ 36.45万
• 依托单位: Saint Louis University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-04-01 至 2015-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1100651&HistoricalAwards=false
• 关键词: GOALI; Reliability; Based; Design; Operation

The research objective of this Grant Opportunity for Academic Liaison with Industry (GOALI) award is to apply a new simplified, mixed finite element roll-stack deflection model as evidence with Bayesian Theory to calculate probabilities of attaining important criteria in metal rolling, including strip thickness profile and strip flatness distributions. The probability predictions will be used to study propagation effects of rolling process uncertainties, and to create new reliability-based mill simulation and control models that lead to higher quality, more efficient rolling schedules. The metal rolling industry's traditional way of addressing process uncertainties is to use statistical process control to simply monitor resulting variations in quality and efficiency criteria. This "backward-looking" approach is limited in that it neither adjusts nor optimizes the process set-up parameters based on predictive probability estimates of the rolling requirements. In contrast, the approach of this research award is to introduce an entirely new "forward-looking" method to optimize rolling parameters based on probability predictions for strip thickness profile and flatness.If successful, this research will economically benefit the many companies producing steel, aluminum, and copper sheet. These companies will be able to roll metal products at higher speeds, and with superior flatness and thickness profiles. The manufacturers of metal rolling mills and associated control systems will also benefit from the capability to design more competitive rolling equipment and systems. The broader societal and educational impacts of this research involve summer workshop programs for inner city teens offered by the Lewis & Clark Educational Institute of Saint Louis. These workshops, entitled "Math and Manufacturing", will spark the interest of fifth to eighth graders as to the exciting roles that math, science, and engineering play in industry. Furthermore, research-driven classroom projects, mentored by engineers from the industry partner, will provide undergraduates engineering students with an enriched learning experience.

该赠款与行业联络的赠款机会的研究目标是，将新的简化的，有限的元素滚动偏转模型应用于具有贝叶斯理论的证据，以计算在金属滚动中达到重要标准的概率，包括带状厚度曲线和剥离平面度。概率预测将用于研究滚动过程不确定性的繁殖效应，并创建新的基于可靠性的铣削模拟和控制模型，从而导致更高质量，更有效的滚动时间表。金属滚动行业解决过程不确定性的传统方式是使用统计过程控制来简单地监视质量和效率标准的差异。这种“向后看”方法的限制是因为它既不根据滚动要求的预测概率估计来调整或优化过程设置参数。相比之下，该研究奖的方法是引入一种全新的“前瞻性”方法，以基于剥离厚度和平坦度的概率预测来优化滚动参数。如果成功，这项研究将在经济上在经济上受益于许多生产钢，铝和铜板的公司。这些公司将能够以较高的速度以及出色的平坦和厚度概况滚动金属产品。金属滚动机和关联控制系统的制造商还将受益于设计更具竞争性的滚动设备和系统的能力。这项研究的更广泛的社会和教育影响涉及圣路易斯刘易斯和克拉克教育学院提供的夏季研讨会计划。这些题为“数学和制造业”的研讨会将激发五年级至八年级学生的兴趣，即数学，科学和工程在行业中发挥的令人兴奋的作用。此外，由行业合作伙伴的工程师指导的研究驱动的课堂项目将为大学生提供丰富的学习经验。