Metallurgy and Materials Science
Computer Applications in Materials Science
An experience-oriented course in specialized computer applications for advanced study in experimentation techniques and analysis, metallurgically-based computer aided engineering tools and statistical methods. Topics covered in the course include an introduction to basic statistics, graphics, experimentation, designed experiments, ANOVA and regression analysis and CAE tools including Stecal.
(A requirement that must be completed before taking this course.)
- MET 114 or consent of department and
- computer experience highly recommended.
Upon successful completion of the course, the student should be able to:
- Examine basic descriptive statistics.
- Graph basic descriptive statistics.
- Interpret basic descriptive statistics.
- Perform measurement systems analysis.
- Examine statistical Design of Experiment (DoE) methodology.
- Perform statistical Design of Experiment (DoE).
- Plan a student selected statistical Design of Experiment (DoE).
- Present student selected statistical Design of Experiment (DoE).
- Examine Analysis of Variance (ANOVA).
- Examine Regression Analysis.
- Perform Regression Analysis and ANOVA on selected project to produce a regression estimation tool for mechanical and physical behavior.
- Use ASM international software to search for materials-property relationships in support of new analytical methods and standard test procedures.
- Use metallurgical based Computer Aided Engineering (CAE) tools to study alloy development.
- Report scientific data in support of composition, process and/or property investigations.
Currently no sections of this class are being offered.