Predictive Modeling and Non-linear Optimization Techniques for Composite Materials Design
Author | : Wesley A. Hermes |
Publisher | : |
Total Pages | : 146 |
Release | : 2020 |
ISBN-10 | : OCLC:1288446722 |
ISBN-13 | : |
Rating | : 4/5 (22 Downloads) |
Download or read book Predictive Modeling and Non-linear Optimization Techniques for Composite Materials Design written by Wesley A. Hermes and published by . This book was released on 2020 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Given the rise in use of composite materials for product design, research has been done in determining the optimal way to produce materials for given desired outputs. As of now response surface methodology and Taguchi method are the front running methods for optimizing material production methods at the design level. This thesis explores why these methods are not a one size fits all solution to optimizing composite materials production for material properties. It suggests utilizing predictive modeling and non-linear optimization techniques from historical manufacturing data of a non-highly controlled manufacturing process. This method is explored with the manufacturing and testing data of a local concrete product manufacturer. The models and optimization methods are validated with residual values to the true data, and a sensitivity analysis of the problem. The initial testing of the method offers promise to companies who have not found Taguchi or surface response methodology, applicable to their specific business solutions.