Open AccessAdvances in beryllium powder consolidation simulation
Author(s) -
Brian Reardon
Publication year - 1998
Language(s) - English
Resource type - Reports
DOI - 10.2172/290947
Subject(s) - beryllium , materials science , fuzzy logic , consolidation (business) , smoothing , sensitivity (control systems) , particle size , metallurgy , biological system , algorithm , computer science , mathematics , chemical engineering , engineering , statistics , physics , accounting , artificial intelligence , electronic engineering , nuclear physics , biology , business
A fuzzy logic based multiobjective genetic algorithm (GA) is introduced and the algorithm is used to optimize micromechanical densification modeling parameters for warm isopressed beryllium powder, HIPed copper powder and CIPed/sintered and HIPed tantalum powder. In addition to optimizing the main model parameters using the experimental data points as objective functions, the GA provides a quantitative measure of the sensitivity of the model to each parameter, estimates the mean particle size of the powder, and determines the smoothing factors for the transition between stage 1 and stage 2 densification. While the GA does not provide a sensitivity analysis in the strictest sense, and is highly stochastic in nature, this method is reliable and reproducible in optimizing parameters given any size data set and determining the impact on the model of slight variations in each parameter