Academics / Courses / DescriptionsMAT_SCI 391: Process Design
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Prerequisites
MAT_SCI 316-1Description
As a materials scientist/engineer, you may be asked to design or improve a material to address a specific need. Within the requirements of cost, health and safety, and environmental impact, such a material must be produced to achieve expected properties with minimal variability. Which processing variables are going to be the most important in affecting properties and therefore must be controlled carefully, and which are less important and require less stringent (and less costly) control? These questions are the subjects to be considered in this course. We will discuss efficient design of experiments, including full and fractional factorials, to determine the most important processing variables, and methods to reach optimum properties with least sensitivity to such variables. Multiple property optimization to find the best trade-offs of properties, cost, etc will be discussed.
Several lectures in statistics will be given at the beginning of the course to equip everyone with sufficient statistics background to benefit from this course.
Relationship to Department Objectives: Supports 2, 4, 6, 7, 8, 9, 11, 13, 14, 15, 16
Textbook: Design and Analysis of Experiments, 9th edition, D. C. Montgomery; 6th edition or greater is acceptable.