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Analysis and Test Validation to Develop Mars Science Laboratory EDL Loads - Mobility Deploy Event

机译:分析和测试验证以开发火星科学实验室EDL负载-移动部署事件

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The Mars Science Laboratory mission will use the Skycrane maneuver at the end of the Entry Descent and Landing sequence to gently deliver a 900kg rover to the surface of Mars. In the final few seconds of that maneuver, the spacecraft will undergo two simultaneous deployments, that of the rover below the rocket controlled descent stage, and the deployment of the rover's mobility system. This coupled deployment phase is the source of driving loads on both the rover deployment mechanism (the Bridle Umbilical Device) and on the mobility system. This paper describes the deployment scenario in detail, describes the computational models used to predict the loads, discusses key results and sensitivities in the predicted load, and describes the experimental model validation program. This work presents a successful attempt to employ both deterministic and statistical loads prediction approaches for this complex process, and calls attention to the importance of accurately capturing load path details in joints. Judged from an overall perspective, the loads model was most successful for predicting loads and speeds in the Bridle Umbilical Device, and had the most difficulty predicting loads throughout a redundant load path in the suspension system.
机译:火星科学实验室的任务将在进入下降和着陆序列结束时使用Skycrane机动,将900kg的火星车轻柔地运送到火星表面。在该操作的最后几秒钟,航天器将同时进行两次部署,即在火箭控制的下降阶段以下的漫游车,以及漫游车的机动系统的部署。这个耦合的部署阶段是在漫游车部署机制(Bridle Umbbilical Device)和移动系统上驱动负载的来源。本文详细描述了部署方案,描述了用于预测负荷的计算模型,讨论了预测负荷的关键结果和敏感性,并描述了实验模型验证程序。这项工作提出了对这种复杂过程采用确定性和统计性载荷预测方法的成功尝试,并提请注意准确捕获关节中载荷路径细节的重要性。从总的角度来看,载荷模型在预测successful式脐带装置中的载荷和速度方面最为成功,而在悬架系统中整个冗余载荷路径中预测载荷的难度最大。

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