基于无因次分析的拉深力预测新方法研究

IF 3.4 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Saeed Hajiahmadi, Majid Elyasi, Mohsen Shakeri
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引用次数: 3

摘要

本研究采用Buckingham pi量纲分析法将几何参数以无因次形式给出,并找到一系列用于圆杯深拉深的无因次群。为了找到最佳的无量纲几何参数组,利用商业有限元软件对三个尺度进行了评价。通过对所有有效几何参数的分析,找到了最合适的无量纲参数关系模型。实验验证采用室温成形的St12板材。并对仿真过程、实验测试结果和响应参数进行了比较,提出了无量纲模型。通过观察结果,可以很好地推断,利用所提出的无量纲模型可以用小尺度预测大尺度的几何质量。无量纲模型的计算结果与试验结果的比较表明,所提出的无量纲模型在确定几何参数和绘制力估计方面具有较好的精度。在此基础上,将所提出的无量纲模型进行了推广,保证了几何值在大尺度下对小尺度的估计精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Investigation of a new methodology for the prediction of drawing force in deep drawing process with respect to dimensionless analysis

Investigation of a new methodology for the prediction of drawing force in deep drawing process with respect to dimensionless analysis

In this research, geometric parameters were given in dimensionless form by the Buckingham pi dimensional analysis method, and a series of dimensionless groups were found for deep drawing of the round cup. To find the best group of dimensionless geometric parameters, three scales are evaluated by commercial FE software. After analyzing all effective geometric parameters, a fittest relational model of dimensionless parameters is found. St12 sheet metals were used for experimental validation, which were formed at room temperature. In addition, results and response parameters were compared in the simulation process, experimental tests, and proposed dimensionless models. By looking at the results, it very well may be inferred that geometric qualities of a large scale can be predicted with a small scale by utilizing the proposed dimensionless model. Comparison of the outcomes for dimensionless models and experimental tests shows that the proposed dimensionless models have fine precision in determining geometrical parameters and drawing force estimation. Moreover, generalizing proposed dimensionless model was applied to ensure the estimating precision of geometric values in larger scales by smaller scales.

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来源期刊
CiteScore
8.60
自引率
0.00%
发文量
1
审稿时长
13 weeks
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