Genetic-Algorithm-Based Optimization of an Industrial Age-Hardening Operation for Packed Bundles of Aluminum Rods

摘要: Industrial thermal processing operations are highly energy intensive, and must be efficiently operated, especially under the current global crisis. However, optimization of such complex is a nontrivial task formally approached. In present work, an integrated model has been used in conjunction with genetic algorithm to optimize industrial age-hardening packed bundles aluminum alloy rods. The presence peak yield strength strong dependence time on temperature make this operation interesting for studies. Multiobjective problems have formulated solved minimization, productivity maximization, variability reduction during by elitist nondominated sorting algorithm. Pareto-front optimum furnace temperature, time, quality variation determined isothermal as well multisegment nonisothermal profiles. Subsequently, m...