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A Combined Probabilistic and Optimization Approach for Improved Chemical Mixing Systems Design
University of Denver, Department of Mechanical and Materials Engineering, 2390 S. York St. Suite 200, Denver CO
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Abstract
A design analysis of a mixing nozzle was performed using a combination of probabilistic and optimization techniques. A novel approach was utilized where probabilistic analysis was used to reduce the number of geometric constraints based on sensitivity factors. An optimization algorithm used only the most significant parameters to maximize mixing. A second probabilistic analysis was performed after optimization was com-plete in order to quantitatively predict the effects of manufacturing tolerances on mixing performance. This process for automated design is attractive over full parameter optimization techniques due to the computa-tional efficiency resulting from an intelligent reduction in evaluated variables.
KeywordsProbabilistic DesignOptimization DesignTolerance DesignComputer-Aided Design
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