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Optimal Design of an Energy Efficient Vacuum Furnace Using Thermal Analysis Database

机译:基于热分析数据库的节能真空炉的优化设计

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With the constructed thermal analysis database, optimization for a vacuum furnace was performed to improve its energy efficiency. Insulator thickness and heater size were selected as the design variables and the heat flux requirement was used as the objective function. Four different initial values yielded the same converged optimization showing a global solution. The optimal result showed a reduction of 3~19% for the energy requirement in comparison with the initial designs. Also, optimization could be possible within one minute due to the efficiency of the constructed analysis database. When the manufacturing cost is accounted for along with the heat flux requirement, alternative optimizations are also possible, which can be useful guidelines to a manufacturer.
机译:利用构建的热分析数据库,对真空炉进行了优化,以提高其能源效率。选择绝缘子的厚度和加热器的尺寸作为设计变量,并将热通量要求用作目标函数。四个不同的初始值产生了相同的收敛优化,并显示了整体解。最佳结果表明,与初始设计相比,能耗降低了3〜19%。同样,由于构建的分析数据库的效率,一分钟之内就可以进行优化。当考虑制造成本和热通量要求时,替代性优化也是可能的,这可能对制造商有用。

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