Energy and Sustainable Futures: Proceedings of the 3rd ICESF, 2022
Energy and Sustainable Futures: Proceedings of the 3rd ICESF, 2022
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能源与可持续未来：2022 年第三届 ICESF 会议记录
DOI：
10.1007/978-3-031-30960-1_31
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Zeng T
中科院分区：
文献类型：
--
作者：
Zeng T
本文以铝金属压铸工艺为例，将伴随法引入模具型腔两种基线冷却设计中的角部冷却元件的优化设计。首先，针对双心筒冷却设计方案，建立了铝压铸过程的稳态热模型。这个定常模型是使用伴随方法的优化模型的第一次迭代。双参数目标函数以内冷区的界面温度、标准差和压降为目标。对于这两种设计情况，拐角冷却配置的多次迭代变形循环导致具有不均匀横截面几何形状和平滑表面处理的优化设计。数值模拟结果表明，在优化后的压降下，铸型/铸件界面的均匀冷却效果分别提高了66.13%和92.65%，冷却液流量分别提高了25.81%和20.35%。该技术已被应用于优化工业高压铝压铸(HPADC)工具的复杂冷却系统(Zeng等人)。在SAE技术文件2022-01-0246,2022，[1]中)。生产线经验表明，与传统模具设计相比，优化设计的使用寿命是传统模具设计的三倍，显著降低了制造和运营成本。
In the present study, the adjoint method is introduced to the optimisation of the corner cooling element in two baseline cooling designs for a mould cavity, as examples of the Aluminium metal die-casting process. First, a steady thermal model simulating the Aluminium die-casting process is introduced for the twocorner cooling design scenario. This steady model serves as the first iteration of the optimised model using the adjoint method. A dual-parameter objective function targets the interfacial temperature standard deviation and pressure drop across the internal cooling region. For both design cases, multi-iterative deformation cycles of the corner cooling configurations result in optimised designs with non-uniform cross-section geometries and smooth surface finishing. Numerical simulations of the resulting designs show improvements in uniform cooling across the mould/cast interfacial contact surface by 66.13% and 92.65%, while the optimised pressure drop increases coolant fluid flow by 25.81% and 20.35% respectively. This technique has been applied to optimise the complex cooling system for an industrial high-pressure aluminium die-casting (HPADC) tool (Zeng et al. in SAE Technical Paper 2022-01-0246, 2022,[1]). Production line experience demonstrates that the optimised designs have three times the operational life compared to conventional mould designs, providing a significant reduction in manufacturing and operation costs.