Single and Multiresponse Adaptive Design of Experiments with Application to Design Optimization of Novel Heat Exchangers
Abstract
Engineering design optimization often involves complex computer simulations. Optimization with such simulation models can be time consuming and sometimes computationally intractable. In order to reduce the computational burden, the use of approximation-assisted optimization is proposed in the literature. Approximation involves two phases, first is the Design of Experiments (DOE) phase, in which sample points in the input space are chosen. These sample points are then used in a second phase to develop a simplified model termed as a metamodel, which is computationally efficient and can reasonably represent the behavior of the simulation response. This dissertation proposes a new adaptive method for single and multiresponse DOE for approximation along with an approximation-based framework for multilevel performance evaluation and design optimization of air-cooled heat exchangers. The dissertation is divided into three research thrusts. The first thrust presents a new adaptive DOE method for single response deterministic computer simulations, also called SFCVT. For SFCVT, the problem of adaptive DOE is posed as a bi-objective optimization problem. In the second research thrust, a new approach for multiresponse adaptive DOE is developed (MSFCVT). Here the approach from the first thrust is extended with the notion that the tradeoff should also consider all responses. In the third research thrust, an approximation-based framework is developed for the performance evaluation and design optimization of novel heat exchangers.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2009
- Accession Number
- ADA638221
Entities
People
- Vikrant C. Aute
Organizations
- University of Maryland