Presidential Faculty Fellow: Material Processing and Intelligent Manufacturing

9350209 Coulter研究和教学计划的目标是帮助美国重返材料加工和制造科学技术领域的世界领先地位。将通过在智能材料加工和制造领域开展跨学科努力来实现这一目标。今天与美国工艺开发相关的两个基本问题是：(1)大多数制造工艺没有被完全理解，(2)在制造过程中没有对产品质量进行监控和优化调整。在最初强调模压或先进复合材料产品的同时，这项努力将通过关注三个相互关联的制造科学领域来解决这两个基本问题。它们是：(1)用于成型和先进复合材料制造情况的改进的工艺模型；(2)用于在制造过程中进行现场产品质量评估的传感器子系统；(3)用于实时制造工艺适应的基于知识的工具。在改进的工艺模型领域，将通过一系列发展中的计算研究阶段来改进用于模拟在单块和先进复合材料制造过程中发生的成型过程的软件包。同时开展的工作将侧重于开发一种通用方法，以便以相反的方式利用流程模型信息。这种逆过程模型的利用将在实时反馈控制环境中进行，以弥补即使是最好的模型也很少是完美的这一事实。该计划的传感器子系统组件将专注于开发硬件/软件子系统，用于在制造周期内实时监控产品质量。将开发一种确定手术期间时间流动进程和时间空间流变性的方法。将研究几种感觉传感器的机制，但最初的重点将是电子和光纤传感器的使用。该计划的基于知识的过程适应阶段将侧重于对基于通用计算机的控制工具的需求，以实现实时逆过程模型信息。这项工作将包括使用人工神经网络，以及从过程模拟模型而不是从实际制造数据获得必要的训练信息。所描述的三个相互关联的跨学科制造科学领域的基础研究进展将有助于提高美国军事和商业应用中模压和复合材料产品的智能自适应制造能力。一项平行的教学工作将被进行，并针对培养具有良好的科学基础，能够跨越传统学科界限，并适应以设计为导向的开放式标志所特有的环境的工程师。学生将在整个教育过程中暴露在模拟专业情况的学术环境中，从而形成这些特征。将继续发展和改进制造科学和智能材料系统领域的跨学科本科生和研究生课程。在所有情况下，都将鼓励学生主导的学习，而不是教师主导的授课陈述，因为已经发现，这种形式提高了学生的积极性，并不限制探索主题的更高水平。所有的教育努力都将怀着以下简单的目标进行：识别对我们美国社会至关重要的知识，并指导个人应用愉快和有效的技术彻底获得这些知识。

9350209 Coulter The objective of the reserch and teaching program is to contribute to the return of the United State to a position of world leadership in material processing and manufacturing science technology. This objective will be pursued through the development of an interdisciplinary effort in the area of intelligent material processing and manufacturing. Two fundamental problems associated with U.S. process development today are: (1) the majority of manufacturing processes are not completely understand, and (2) product quality is not monitored and optimally adjusted during fabrication. While initially emphasizing molded or advanced composite products, the effort will address these two basic problems by focusing on three coupled manufacturing science areas. These are: (1) improved process models for molding and advanced composites msnufacturing situations, (2) sensor subsystems for in situ product quality assessment during manufacturing, and (3) knowledge based tools for real time manufacturing processs adapation. In the improved process model area, a software package for the simulation of molding processes that occur during the manufacture of monolithic and advanced composite materials will be improved through a sequence of developmental computational research phases. A concurrent effort will focus on the development of a generic methodology for the utilization of process model information in an inverse manner. This inverse process model utilization will be done in a real time feedback control environment to compensate for the fact that even the best models are rarely perfect. The sensor subsystem component of the program will focus on the developme nt of hardware/software subsystems for monitoring product quality in real time during fabrication cycles. A methodology for determining temporal flow progression and temporal spatial rheology during operations will be developed. Several sensory transducer mechanisms will be investigated, but the initial focus will be on the usage of electronic and optical fiber sensors. The knowledge based process adaptation phase of the program will focus on the need for generic computer based control tools fir implementating real time inverse process model information. The effort will include the use of artifical neural networks, with necessary training information obtained from process simulation models rather than from actual manufacturing datqa. Fundamental research advancement in the three coupled interdisciplinary manufacturing science areas described will help facilitate an improved capability for intelligemt adaptive manufacture of molded and composite products for U. S. military and commercial applications. A parallel teaching effort will be undertaken and directd at educating engineers who are well grounded in scientific fundamentals, capable of crossing traditiiiional disciplinary boundaries, and comfortable in environmentals charqcterized by design oriented, open ended asignments. Students will develop these traits as a result of being exposed to an academic environment that mimics professional situations throughout the education process. The development and improvement of interdisciplinary undergraduate and graduate courses in the arcas h) 0*0*0* of manufacturing science and intelligent material systems will continue. In all cases, student driven learning rather than instructor dominated lecture presentation will be encouraged , as it has been found that such a format increases student enthusiasm and does not constrain the upper level to which subject are explored. All educationL efforts will be carried out with the following simple goal in mind: to identify knowledge that is of critcal importance to our American society and to guide individuals as they apply enjoyable and effiecient techniques to thoroughy acquire this knowledge.