用数值模拟方法研究黏度模型对模版印刷的影响

O. Krammer, Tareq I. Al-Ma’aiteh, P. Martinek
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引用次数: 1

摘要

本文讨论了不同粘度模型对模版印刷建模数值结果的影响。通过定义印刷胶刮、模板的几何形状和滚动锡膏的形状,建立了数值模型。刮刀有一个53°的攻角,这是由先前的测量确定的,叶片高度为20毫米。该模型的输出参数包括轧制锡膏内部的剪切速率分布和速度场,以及钢网上的压力分布。通过测量3型(粒径20-45μm)、4型(粒径20-38 μm)、5型(粒径15-25 μm)焊锡膏的流变性能,并将黏度模型拟合到测量结果中,确定了焊锡膏的材料性能。对比了两种不同的材料模型,Cross模型和carreuu - yasuda模型,评估了不同模型对数值结果的影响。结果表明,在初始状态(Cross模型)和稳定状态(carreuu - yasuda模型)下,使用黏度的锡膏在模板印刷过程中的压力有显著差异。3型、4型和5型焊锡膏的差异分别为25%左右。这些差异证明了在模板印刷的数值模型中应该使用合适的材料模型,以便能够将其应用于工业4.0概念的早期预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating the Effect of Viscosity Models on the Stencil Printing by Numerical Modelling
In this paper, the effect of different viscosity models on the numerical results of stencil printing modelling was addressed. The numerical model was established by defining the geometry of the printing squeegee, the stencil, and the shape of the rolling solder paste. The squeegee had a 53° attack angle, which was determined by prior measurements, and the blade height was 20 mm. The output parameters of the model included the shear rate distribution and velocity field within the rolling solder paste, and the pressure profile on the stencil. The material properties of the solder paste were set by measuring the rheological behaviour of Type3 (particle size: 20–45μm), Type4 (particle size: 20–38 μm), Type5 (particle size: 15–25 μm)solder pastes and by fitting viscosity models onto the measurement results. Two different material models were compared, the Cross and the Carreau-Yasuda models, where the effect of the different models on the numerical results was evaluated The results showed a significant difference in the pressure during stencil printing between the cases using the viscosity of solder pastes in initial state (Cross model)and in steady state (Carreu-Yasuda model). The difference was about 25% in the case of Type-3, Type-4, and Type-5 solder pastes respectively. These differences proved that appropriate material models should be used in the numerical models of the stencil printing, to be able to apply that in early-stage prediction in the concept of Industry 4.0.
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