A Materials Engineering Technology Approach to Alloy Design
Journal of Engineering Technology
American Society for Engineering Education * Engineering Technology Division
Place of Publication
Materials engineers use published properties of commercial alloys, laboratory data, and computational models to develop metal alloys. In recent decades, computer modeling has focused on predicting the compositions of solid phases in alloy systems from thermodynamic data (CALPHAD). Houerer, a broader range of materials properties can be predicted using a "materials engineering technology" approach instead of a "materials science" approach. These materials properties include liquidus and solidus temperatures, thermal and electrical conductivity, and color The materials technology approach is based on prior work by Zotos, which used mnltirariable linear regression. 'The proposed method uses a spreadsheet to calculate the coefficients of a mullirariable polynomial regression equation. Next, an alloy design program uses the regression equation recursively to predict the properties of all possible alloys within a search field. Results are sorted according to the target properly range. One benefit of using a spreadsheet is that a small company or educational institution with limited resources can develop and run its own alloy property prediction program at relatively low cost. Unlike commercially-available phase diagram prediction software, this method can be applied to any composition-dependent property of an alloy system.
materials properties, alloying, chemical analysis, electric conductivity, phase diagrams, regression analysis
Civil and Environmental Engineering | Mechanical Engineering
Barry Dupen (2007).
A Materials Engineering Technology Approach to Alloy Design. Journal of Engineering Technology.24 (2), 20-27. United States: American Society for Engineering Education * Engineering Technology Division.