Presidential Faculty Fellow: Material Processing and Intelligent Manufacturing

研究和教学计划的目标是为美国在材料加工和制造科学技术方面恢复世界领先地位做出贡献。这一目标将通过发展智能材料加工和制造领域的跨学科努力来实现。与美国工艺发展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。虽然最初的重点是模制或先进的复合材料产品，但将通过关注三个耦合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工艺模型，(2)用于制造过程中现场产品质量评估的传感器子系统，以及(3)用于实时制造过程适应的基于知识的工具。在改进的过程模型领域，一个用于模拟单片和先进复合材料制造过程中的成型过程的软件包将通过一系列发展的计算研究阶段得到改进。同时的工作将集中在以相反的方式利用流程模型信息的通用方法的开发上。这种反向过程模型的利用将在实时反馈控制环境中完成，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硬件/软件子系统的开发，用于在制造周期中实时监控产品质量。将开发一种确定操作过程中时间流动进程和时间空间流变的方法。将研究几种传感传感器机制，但最初的重点将放在电子和光纤传感器的使用上。该计划的基于知识的过程适应阶段将重点关注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，并从过程模拟模型中获得必要的培训信息，而不是从实际制造数据中获得。上述三个耦合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塑和复合产品的智能自适应制造能力。一个平行的教学努力将进行，并直接培养工程师，他们在科学基础上有良好的基础，能够跨越传统的学科界限，并适应以设计为导向的环境，开放式任务。在整个教育过程中，学生们暴露在模仿专业情况的学术环境中，从而培养出这些特质。制造科学和智能材料系统领域h) 0*0*0*交叉学科的本科和研究生课程将继续发展和完善。在所有情况下，学生主导的学习，而不是教师主导的讲座演示将被鼓励，因为已经发现，这种格式提高学生的积极性，并没有限制更高层次的主题探索。所有的教育工作都将遵循以下简单的目标：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而有效的技术来彻底获取这些知识。

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.