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RECENT DEVELOPMENTS IN SELF-HEALING METALLIC MATERIALS AND MECHANICS OF SELF-HEALING COMPOSITES

机译：自我愈合金属材料的最新发展和自我愈合复合材料的力学

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Self-healing materials are inspired by natural biological materials that can heal themselves when injured. Incorporating the self-repair function into inorganic systems has recieved a lot of interest from materials scientists in recent years. Most studies have focused on polymers, concretes and ceramics because they are easier to synthesize than metallic materials. Multiple significant challenges remain to increase the TRL of self-healing materials. Some of these challenges include: a) ensuring bonding between components, b) multicycle healing, c) autonomous activation of healing, d) predicting the influence of microstructural architecture, bonding, volume percent, distribution, and size of shape memory alloys or microballoons, and e) predictiction of the properties of self-healed materials. Metal matrix self-healing materials reinforced with shape memory alloys can provide engineering grade material properties with the ability to heal multiple times. Similarly treating the NiTi properly in fabrication can work to understanding and controling the mechanics of self healing to enable design. Recent studies have been performed on self-healing metal matrix composites (MMCs) consisting of tin-bismuth alloys to ensure a good bond between the components. Simultanious work was performed to create and understand the capability to close cracks and create crack closing loads that will resist external loading. This paper also reviews mechanics based analysis of crack closing capabilities with supporting experimental validation.
机译：自我愈合材料受到天然生物材料的启发，可以在受伤时愈合。将自修复功能纳入无机系统已经收到了近年来材料科学家的许多兴趣。大多数研究专注于聚合物，混凝土和陶瓷，因为它们比金属材料更容易合成。仍有多项重大挑战来增加自我修复材料的TRL。其中一些挑战包括：a）确保组分，b）多运行愈合，c）自主激活愈合，d）预测微观结构架构，粘接，体积百分比，分布和形状记忆合金的尺寸或微旋钮的尺寸的影响， e）预测自愈材料的性质。用形状记忆合金加强的金属基质自愈材料可以提供工程级材料特性，能够多次愈合。同样地将NITI适当地在制造中可以用于理解和控制自我愈合的机制以实现设计。最近的研究已经对由锡铋合金组成的自愈金属基质复合材料（MMC）进行，以确保组分之间的良好粘合。进行同时工作以创建和理解关闭裂缝的能力，并产生将抵抗外部负载的裂缝关闭载荷。本文还通过支持实验验证，评论基于机制的裂缝关闭能力分析。

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