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首页> 外文期刊>Materials and Manufacturing Processes >Genetic-Algorithm-Based Optimization of an Industrial Age-Hardening Operation for Packed Bundles of Aluminum Rods
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Genetic-Algorithm-Based Optimization of an Industrial Age-Hardening Operation for Packed Bundles of Aluminum Rods

机译：基于遗传算法的铝棒包装捆束工业年龄强化操作的优化

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摘要

Industrial thermal processing operations are highly energy intensive, and must be efficiently operated, especially under the current global energy crisis. However, optimization of such complex operations is a nontrivial task and must be formally approached. In the present work, an integrated model has been used in conjunction with a genetic algorithm to optimize industrial age-hardening of packed bundles of aluminum alloy rods. The presence of peak yield strength and the strong dependence of peak time on age-hardening temperature make this operation interesting for optimization studies. Multiobjective optimization problems have been formulated and solved for energy minimization, productivity maximization, and variability reduction during age-hardening by an elitist nondominated sorting genetic algorithm. The Pareto-front for optimum furnace temperature, time, and quality variation has been determined for isothermal as well as multisegment nonisothermal furnace temperature profiles. Subsequently, optimum multisegment furnace temperature-time set-points were obtained and compared with equivalent isothermal profile. The advantage of multisegment nonisothermal profile over isothermal profile in reducing the energy consumption has been demonstrated.
机译：工业热处理的能源消耗量很大，必须有效地运行，特别是在当前的全球能源危机下。但是，优化这种复杂的操作并非易事，必须正式进行。在目前的工作中，集成模型已与遗传算法结合使用，以优化铝合金棒填充束的工业时效。峰值屈服强度的存在以及峰值时间对时效硬化温度的强烈依赖性使得此操作对于优化研究很有趣。提出了多目标优化问题，并通过精英非支配排序遗传算法解决了老化过程中的能量最小化，生产率最大化和可变性降低的问题。对于等温以及多段非等温炉温度曲线，已经确定了最佳炉温，时间和质量变化的帕累托峰。随后，获得最佳的多段炉温度-时间设定点，并将其与等效等温曲线进行比较。已经证明了多段非等温曲线优于等温曲线在降低能耗方面的优势。

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