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Materials Informatics Technique for Designing Strong-Adhesion Interfaces in Electronics Devices

机译:在电子设备中设计强粘合界面的材料信息技术

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A materials-informatics technique for designing strong flat interfaces has been developed by use of advanced simulation that can calculate the delamination energy as the adhesion strength. In this study, this technique is applied to the design of metal (or alloy) with strong adhesion to polyimide, which is an example resin used for printed circuit boards. At the first stage, the interatomic spacings were selected as the important, dominant metal parameters from four metal parameters (the short-distance and long-distance interatomic spacings, electronegativity, and surface energy density) by using sensitivity analysis based on the design-of-experiments method with the delamination-energy data calculated from the advanced simulation. At the second stage, the adhesion strength (delamination energy) is expressed as a function of the important alloy parameters (i.e., the short-distance and long-distance interatomic spacings) by using Kriging-method-based artificial intelligence. At the third stage, by solving the maximum-value problem of the function, it was found that the metal that has the same short-distance and long-distance interatomic spacings as those of the resin has the strongest adhesion to the resin. Finally, it was confirmed that the metal (Ni-12%Mn) that satisfies this lattice-matching condition has the strongest adhesion by conducting a scratch test. Thus, lattice matching was found to be the most important factor in the adhesion.
机译:已经通过使用先进的模拟技术开发了用于设计坚固的平面界面的材料信息技术,该技术可以计算分层能量作为附着强度。在这项研究中,该技术应用于对聚酰亚胺具有强粘合力的金属(或合金)的设计,聚酰亚胺是用于印刷电路板的一种示例性树脂。在第一阶段,通过基于设计的灵敏度分析,从四个金属参数(短距离和长距离原子间间距,电负性和表面能密度)中选择原子间间距作为重要的主要金属参数。实验方法,其中分层能量数据是根据高级仿真计算得出的。在第二阶段,通过使用基于克里格法的人工智能,将粘附强度(剥离能)表示为重要合金参数(即,短距离和长距离原子间间距)的函数。在第三阶段,通过解决函数的最大值问题,发现具有与树脂相同的短距离和长原子间距的金属对树脂具有最强的粘附力。最后,通过进行划痕试验,确认满足该晶格匹配条件的金属(Ni-12%Mn)具有最强的密合性。因此,发现晶格匹配是粘附中最重要的因素。

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