https://hdl.handle.net/11256/416 This community holds the data associated with articles published in Integrating Materials and Manufacturing Innovation (IMMI) 2021-05-04T16:49:27Z https://hdl.handle.net/11256/961 Systems Design Approach to Low-Cost Coinage Materials Lass, Erc; Stoudt, Mark; Campbell, Carelyn A system design approach using an Integrated Computational Materials Engineering (ICME) was used to design three new low-cost seamless replacement coinage alloys to reduce the raw material of the current US coinage alloys. Maintaining compatibility with current coinage materials required matching the currently used alloy properties of yield strength, work-hardening behavior, electrical conductivity, color, corrosion resistance and wear resistance. In addition, the design alloys were required to use current production processes. CALPHAD-based models for electrical conductivity and color were developed to integrate into the system design approach. Three prototype alloys were designed, produced and characterized. The design process highlighted the trade-off between minimizing the raw material costs and achieving the desired color properties. Characterization of the three prototype alloys showed good agreement with the design goals. 2015-11-06T00:00:00Z https://hdl.handle.net/11256/946 A computational framework for material design Li, Shengyen; Kattner, Ursula; Campbell, Carelyn A computational framework is proposed that enables the integration of experimental and computational data, a variety of user-selected models, and a computer algorithm to direct a design optimization. To demonstrate this framework a sample design of a ternary Ni-Al-Cr alloy with a high work-to-necking ratio is presented. This design example illustrates how CALPHAD phase-based, composition and temperature dependent phase equilibria calculations and precipitation models are coupled with models for elastic and plastic deformation to calculate the stress-strain curves. A genetic algorithm then directs the search within a specific set of composition and processing constrains for the ideal composition and processing profile to optimize the mechanical properties. The initial demonstration of the framework provides a potential solution to initiate the material design process in a large space of composition and processing conditions. This framework can also be used in similar material systems or adapted for other material classes. 2017-08-18T00:00:00Z https://hdl.handle.net/11256/940 Ultrahigh Carbon Steel Micrographs Hecht, Matthew D.; DeCost, Brian L.; Francis, Toby; Holm, Elizabeth A.; Picard, Yoosuf N.; Webler, Bryan A. We present a new microstructure informatics dataset consisting of ultrahigh carbon steel (UHCS) micrographs taken over a range of length scales under systematically varied heat treatments. Using the UHCS dataset as a case study, we develop a set of visualization tools for interacting with and exploring large microstructure and metadata datasets. Based on generic microstructure representations adapted from the field of computer vision, these tools enable image-based microstructure retrieval, as well as spatial maps of both microstructure and related metadata, such as processing conditions or properties measurements. We provide the microstructure image data, processing metadata, and source code for these microstructure exploration tools. The UHCS dataset is intended as a community resource for development and evaluation of microstructure informatics techniques, and for creation of microstructure informatics teaching modules. https://hdl.handle.net/11256/774 Tensile and Microindentation Stress-Strain Curves of Al-6061 Weaver, Jordan S.; Khosravani, Ali; Castillo, Andrew; Kalidindi, Surya R. Recent spherical microindentation stress-strain protocols were developed and validated on Al-6061 (DOI: 10.1186/s40192-016-0054-3). The scaling factor between the uniaxial yield strength and the indentation yield strength was determined to be about 1.9. The microindentation stress-strain protocols were then applied to a microstructurally graded sample in an effort to extract high throughput process-property relationships. The tensile and microindentation force-displacement and stress-strain data are presented in this data set.