Abstract
In order to optimize the layout of the conformal cooling channels in hot stamping tools, a response surface methodology and multi-objective optimization technique are proposed. By means of an Optimal Latin Hypercube experimental design method, a design matrix with 17 factors and 50 levels is generated. Three kinds of design variables, the radius Rad of the cooling channel, the distance H from the channel center to tool work surface and the ratio rat of each channel center, are optimized to determine the layout of cooling channels. The average temperature and temperature deviation of work surface are used to evaluate the cooling performance of hot stamping tools. On the basis of the experimental design results, quadratic response surface models are established to describe the relationship between the design variables and the evaluation objectives. The error analysis is performed to ensure the accuracy of response surface models. Then the layout of the conformal cooling channels is optimized in accordance with a multi-objective optimization method to find the Pareto optimal frontier which consists of some optimal combinations of design variables that can lead to an acceptable cooling performance.
Highlights
Hot stamping technology which is widely applied in the automotive components manufacture provides the possibility to produce components with complex shape, high strength and less springback [1,2]
The radius of cooling channel, the distance from the channel center to tool work surface and the ratio of each channel center are considered as the design variables which can determine the layout of cooling channels
The average temperature and temperature deviation of work surface are chosen as evaluation indicators to assess the cooling performance
Summary
Hot stamping technology which is widely applied in the automotive components manufacture provides the possibility to produce components with complex shape, high strength and less springback [1,2]. Cooling channels arranged inside hot stamping tools play an important role in the cooling efficiency and temperature uniformity of tools [3]. The radius of cooling channel, the distance from the channel center to tool work surface and the ratio of each channel center are considered as the design variables which can determine the layout of cooling channels. The average temperature and temperature deviation of work surface are chosen as evaluation indicators to assess the cooling performance. The layout of cooling channels is optimized by multi-objective method and a Pareto frontier is obtained which reveals the optimal variables combination
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