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Further Analysis on the Mystery of the Surveyor III Dust Deposits

机译:进一步分析“验船师III”粉尘沉积物的奥秘

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The Apollo 12 lunar module (LM) landing near the Surveyor Ⅲ spacecraft at the end of 1969 has remained the primary experimental verification of the predicted physics of plume ejecta effects from a rocket engine interacting with the surface of the moon. This was made possible by the return of the Surveyor Ⅲ camera housing by the Apollo 12 astronauts, allowing detailed analysis of the composition of dust deposited by the LM plume. It was soon realized after the initial analysis of the camera housing that the LM plume tended to remove more dust than it had deposited. In the present study, coupons from the camera housing have been reexamined. In addition, plume effects recorded in landing videos from each Apollo mission have been studied for possible clues. Several likely scenarios are proposed to explain the Surveyor Ⅲ dust observations. These include electrostatic levitation of the dust from the surface of the Moon as a result of periodic passing of the day-night terminator; dust blown by the Apollo 12 LM flyby while on its descent trajectory; dust ejected from the lunar surface due to gas forced into the soil by the Surveyor Ⅲ rocket nozzle, based on Darcy's law; and mechanical movement of dust during the Surveyor landing. Even though an absolute answer may not be possible based on available data and theory, various computational models are employed to estimate the feasibility of each of these proposed mechanisms. Scenarios can then be tested which combine multiple mechanisms to produce results consistent with observations.
机译:1969年底,阿波罗12号登月舱(LM)降落在SurveyorⅢ号航天器附近,至今仍是对火箭发动机与月球表面相互作用产生的羽流效应的预测物理学进行初步实验验证。阿波罗12号宇航员归还了SurveyorⅢ型摄像机外壳,使之成为可能,从而可以对LM羽流沉积的尘埃成分进行详细分析。在对摄像机外壳进行初步分析之后,很快就意识到LM羽流清除的灰尘多于沉积的灰尘。在本研究中,已经重新检查了相机外壳上的优惠券。此外,还对每个阿波罗任务着陆视频中记录的羽流效果进行了研究,以寻找可能的线索。提出了几种可能的方案来解释SurveyorⅢ的尘埃观测结果。其中包括由于昼夜终结者定期通过而从月球表面产生的静电悬浮尘埃;阿波罗12号LM飞越下降轨迹时吹起的灰尘;根据达西定律,由SurveyorⅢ火箭喷嘴将气体推入土壤,从月球表面喷出的灰尘;和验船师着陆过程中灰尘的机械运动。即使基于可用的数据和理论可能无法给出绝对的答案,但仍可以使用各种计算模型来估计每种建议机制的可行性。然后可以测试场景,这些场景结合了多种机制以产生与观察结果一致的结果。

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