2nd World Congress on Integrated Computational Materials Engineering: ICME Challenges and Education
Program Organizers: Mei Li, Ford Motor Company; Katsuyo Thornton, University of Michigan; Elizabeth Holm, Carnegie Mellon Univ; Carelyn Campbell, National Institute of Standards & Tech; Peter Gumbsch, Fraunhofer IWM
Thursday 8:00 AM
July 11, 2013
Room: Ballroom D&E
Location: Salt Lake Marriott Downtown at City Creek
Session Chair: Tresa Pollock, Univ of California Santa Barbara; David Furrer, Pratt & Whitney
8:00 AM Introductory Comments
8:05 AM Invited
Enabling Elements of Integrated Computational Materials and Manufacturing Science and Engineering (ICM2SE): David Furrer1; 1Pratt & Whitney
Application of computational materials and manufacturing science and engineering has continued to grow and evolve toward an integrated engineering discipline. The speed of this integration is increasing through the efforts within many supporting technologies that have previously kept the pull for the anticipated significant ICM2SE benefits in check. Enabling technologies in the areas of advanced physics-based models, computational methods, materials and process data availability and management, and standards are leading to clear paths toward true integration of computational material and manufacturing science and engineering with other engineering disciplines. The complexity and overall interdisciplinary nature of ICM2SE must be thought about with a “systems engineering” approach with clear objectives and subsequent assemblages of appropriate tools and methods. The enabling elements of ICM2SE technology that are resulting in the rapid changes to the ICM2SE landscape will be presented and discussed from the perspective of industrial application. Examples of integrated computational materials and manufacturing engineering will be provided to show the increasing complexity and rate of use of this technology to support advanced component and product design, optimization and realization.
ICME – A Mere Coupling of Models or a Discipline on Its Own?: Markus Bambach1; Georg Schmitz1; Ulrich Prahl1; 1RWTH Aachen University
What is ICME? Technically, ICME is considered as an approach for solving particular engineering problems related to the design of new materials and processes by combining individual materials and process models. This combination of models is presently mostly achieved by transforming the output of a simulation to form the input for a subsequent one, which may be performed either at a different length scale or which constitutes a subsequent step along the process chain. Is ICME thus just a synonym for the coupling of simulations? In fact, most publications related to ICME are examples of the combined application of selected models and software codes to solve a specific problem. Coupling of individual models and/or software codes across length scales and along materials processing chains, however, leads to the formation of much more complex meta-models being independent of a specific application scenario. Such meta-models comprise scientific/technological aspects like e.g. standardization issues, a global reference frame, propagation of uncertainty, data contingency etc. as well as organizational aspects like e.g. distributed simulations, licensing issues in case of commercial models, suitable hardware environments and others. The viability of such meta-models thus has to be ensured by joint efforts from science, industry, software developers and independent organizations. This paper outlines several developments that seem mandatory to make ICME simulations viable, sustainable and widely accessible. As a conclusion, ICME is identified as being more than a multi-disciplinary subject but as a discipline on its own, for which a generic structural framework has to be established.
Knowledge Assisted Integrated Design of a Component and its Manufacturing Process: BP Gautham1; Nagesh Kulkarni1; Danish Khan1; Pramod Zagade1; Rohith Uppaluri1; Sreedhar Reddy1; 1TRDDC, Tata Consultancy Services
Linking the simulation tools used for product design, performance evaluation and its manufacturing processes in a closed loop on a single platform, along with appropriate databases and knowledge bases (e.g. rule base) would help reduce the total cost of product as well as its cost of development. Making such a knowledge assisted simulation-based design platform accessible to product or process designers, who may not possess skills for the use of simulation tools or some aspects of the design life-cycle, would help reduce the life cycle of product development further. In this paper, we propose a process and illustration for achieving an integrated product and manufacturing process design assisted by knowledge support for the user to make decisions at various stages. A case of design of transmission components is illustrated in detail. The example illustrates the design of a gear for its geometry, material selection and its manufacturing processes, particularly, carburizing-quenching and tempering and feeding the material properties predicted during heat treatment into performance estimation in a closed loop. It also identifies and illustrates various decision stages in the integrated life cycle and discusses the use of knowledge engineering tools such as rule-based guidance, to assist the designer make informed decisions. Simulation tools developed on various commercial, open-source platforms as well as in-house tools along with knowledge engineering tools are linked to build a framework with appropriate navigation through user-friendly interfaces. This is illustrated through examples in this paper.
9:15 AM Break
9:35 AM Invited
Integrated Computational Materials Education: Mark Asta1; Katsuyo Thornton2; 1University of California, Berkeley; 2University of Michigan
The growing importance of integrated computational materials engineering (ICME) has led to rapid progress in the development of computational methods and associated software tools for predictive modeling of processing-structure-properties-performance links in materials design and production. To date, however, the introduction of these tools into materials science and engineering curriculum has generally not kept pace. This talk will provide an overview of approaches to bridging this gap, in the training of the future ICME workforce. Two categories of approaches related to ICME education will be discussed: the development of professional degree programs, and the incorporation of computational methods into traditional MSE courses. To enable efforts in the second category, the authors have been involved in the development of a summer-school program aimed at “educating the educator.” Based on input from employers, department chairs and faculty members, this summer school has focused on the development of a standard set of lecture notes and computational modules that lower the barrier for introduction of computational tools in traditional undergraduate courses. The assessed impact of these efforts will be reviewed, based on surveys from alumni of the summer school over the past two years.