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We study a cast Mg-4.65Al-2.82Ca alloy with a microstructure containing$\alpha$-Mg matrix reinforced with a C36 Laves phase skeleton. Such ternaryalloys are targeted for elevated temperature applications in automotive enginessince they possess excellent creep properties. However, in application, thealloy may be subjected to a wide range of strain rates and in materialdevelopment, accelerated testing is often of essence. It is therefore crucialto understand the effect of such rate variations. Here, we focus on theirimpact on damage formation. Due to the locally highly variable skeleton formingthe reinforcement in this alloy, we employ an analysis based on high resolutionpanoramic imaging by scanning electron microscopy coupled with automated damageanalysis by deep learning-based object detection and classificationconvolutional neural network algorithm (YOLOV5). We find that with decreasingstrain rate the dominant damage mechanism for a given strain level changes: ata strain rate of $5\cdot10^{-4}/s$ the evolution of microcracks in the C36Laves phase governs damage formation. However , when the strain rate isdecreased to $5\cdot10^{-6}/s$, interface decohesion at the $\alpha$-Mg/Lavesphase interfaces becomes equally important. We also observe a change in crackorientation indicating an increasing influence of plastic co-deformation of the{\alpha}-Mg matrix and Laves phase. We attribute this transition in leadingdamage mechanism to thermally activated processes at the interface.

Rate dependence of damage formation in metallic-intermetallic Mg-Al-Ca composites