4th World Congress on Integrated Computational Materials Engineering (ICME 2017): Integration Framework and Usage - IB
Program Organizers: Paul Mason, Thermo-Calc Software Inc.; Michele Manuel, University of Florida; Alejandro Strachan, Purdue University; Ryan Glamm, Boeing Research and Technology; Georg J. Schmitz, Micress/Aachen; Amarendra Singh, IIT Kanpur; Charles Fisher, Naval Surface Warfare Center
Monday 2:00 PM
May 22, 2017
Room: Salon I
Location: Ann Arbor Marriott Ypsilanti at Eagle Crest
2:00 PM Invited
Center for Hierarchical Materials Design: Data and Databases for ICME: Emine Gulsoy1; Laura Bartolo1; Juan De Pablo2; Gregory Olson1; Peter Voorhees1; 1Northwestern University; 2University of Chicago
Center for Hierarchical Materials Design (CHiMaD) is a NIST-sponsored Center of Excellence for Advanced Materials Research, focusing on developing the next generation of computational tools, databases and experimental techniques in order to enable the accelerated design of novel materials and their integration to industry. Integrated computational materials engineering tools are vital for realization of the Materials Genome Initiative and CHiMaD is leading several fronts in data and proto-data development for both organic and inorganic materials. CHiMaD’s prototype-data development will be discussed as well as its efforts in database development for organic and inorganic materials along with community initiatives including Data Workshops and Materials Data Facility which aims to serve as a community resource for sharing, storing and mining data.
Integration of Experiments and Simulations to Build Material Big-Data: Gunjin Yun1; 1Seoul National University
In this paper, a method for extracting stress-strain databases from material test measurements is introduced as one of the potential Integrated Computational Materials Engineering (ICME) tools. Measuring spatially heterogeneous stress and strain evolutionary data during material tests is a challenging and costly task. The proposed method can extract a large volume of spatially heterogeneous stress and strain evolutionary data from experimental boundary measurements such as tractions and displacements. For the purpose, nonlinear finite element models are intrusively implemented with artificial neural network (ANN)-based material constitutive models. Then a specialized algorithm that can auto-progressively train ANN material models guided by experimental measurements is executed. Any complex constitutive law is not presumed. From the algorithm, ANN gradually learns complex material constitutive behavior. The training databases are gradually accumulated with self-corrected stress and strain data predicted by the ANN. Finally, material databases are obtained. For an example, visco-elastoplastic material databases are obtained by the proposed method.
ICME Based Hierarchical Design Using Composite Materials for Automotive Structures: Azeez Shaik1; Yagnik Kalariya1; Rizwan Pathan1; Amit Salvi1; 1TCS Research, Tata Consultancy Services
Composite materials are increasingly being used in automotive structures due to their higher specific stiffness and specific strength. Composite material characterization is a complicated task due to micro-scale non-homogeneity and its resulting anisotropy and is generally accomplished with expensive physical tests at coupon level. High fidelity computational models are increasingly being used to accurately establish the elastic material behaviour that also provides detailed information about nonlinear behaviour due damage and fracture. The fiber architecture or composite microstructure can be altered to provide a maximum performance for a given application under certain loads. Thus, material selection from existing materials, and material design for a given component needs to be integrated in the existing design cycle.In this paper, ICME based hierarchical design process integrated with composite material selection and microstructure based material design will be presented. An automotive car door assembly will be designed using this approach. Material selection from given list of composite materials will be carried out using stiffness based approach. Individual components will be checked for damage and failure and a fiber reinforced composite material is designed specifically to suit the requirement keeping the overall stiffness very close to the global requirement. This framework for design decisions is integrated using a TCS PREMAP framework developed in house.