14‐3: Drop Resistance Optimization Through Post‐Hoc Analysis of Chemically Strengthened Glass

Myunghun Baek, Tae-Hwan An, S. Kuk, Kyongtae Park
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Abstract

In the market of the mobile cover glass, the development of chemically strengthened glass is focused on the drop resistance improvement. The cover glass which protects the display panel is a typical brittle material that the micro cracks tends to be occurred underneath a glass surface by physical impacts. The micro cracks tends to be propagated by tensile stress and it is known as a general procedures on glass breakage. In purpose of the cover glass strength improvement, compressive stress is applied to the glass surface using chemical strengthening method by ion exchange. However, since the central area of the glass is relatively subjected to tensile stress, the glass is instantly broken when the propagated cracks are reached on the tensile stress exerted area. The glass specifications have been managed for maintaining the strength using parameters of compressive stress (CS), depth of compression (DOC), and central tension (CT). However, there was no method to judge the most effective factor for impact drop resistance. In order to solve this problem, we developed a machine learning program for cover glass that can predict the breakage height based on stress and mapped evaluation data based on the measured stress profile data and the actual drop breakage simulated evaluation. Especially, eXplainable AI (XAI) method is used to identify the effective factors on drop breakage height. And the test and measurement data were applied to various chemically strengthened glass for analysis.In this study, it was possible to predict the drop breakage height only by measuring the stress profile of chemically strengthened glass. The feature value of chemically strengthened that has the most effect on the drop breakage resistance on rough surfaces was identified to be stress value at 30um in the case of alkali aluminosilicate glass. And it was proved that the drop breakage height was improved by 25% only by increasing the compressive stress at 30um depth.
14-3:通过化学强化玻璃的事后分析优化抗跌落性能
在移动覆盖玻璃市场上,化学强化玻璃的发展主要集中在抗跌落性能的提高上。保护显示面板的覆盖玻璃是一种典型的脆性材料,由于物理冲击,玻璃表面下方往往会出现微裂纹。微裂纹倾向于通过拉伸应力传播,这被称为玻璃破碎的一般过程。为了提高覆盖玻璃的强度,采用离子交换化学强化方法对玻璃表面施加压应力。然而,由于玻璃的中心区域相对地受到拉伸应力,当在施加拉伸应力的区域上达到扩展的裂纹时,玻璃立即破裂。玻璃规格已通过使用压缩应力(CS)、压缩深度(DOC)和中心张力(CT)参数来保持强度。然而,目前还没有方法来判断抗冲击跌落的最有效因素。为了解决这个问题,我们开发了一个用于盖玻片的机器学习程序,该程序可以基于应力预测破损高度,并基于测量的应力分布数据和实际跌落破损模拟评估映射评估数据。特别是采用可解释人工智能(XAI)方法来识别跌落破损高度的影响因素。并将测试和测量数据应用于各种化学强化玻璃进行分析。在这项研究中,只有通过测量化学强化玻璃的应力分布才能预测液滴破裂高度。在碱性铝硅酸盐玻璃的情况下,化学强化的特征值被确定为30um时的应力值,该特征值对粗糙表面上的抗跌落断裂性影响最大。结果表明,仅在30um深度处增加压应力,液滴破裂高度就可提高25%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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