Outgassing from spacecraft materials is known to degrade performance of various components, of which particularly affected are cold and cryogenic surfaces. For those surfaces that suffer from performance losses due to molecular contamination, it is important to assess the contamination levels at an early stage of a project to apply necessary risk mitigation and/or risk avoidance. The focus of this work is on the reemission parameters of the molecular contamination model used in the simulations and improvement of the long-term predictions of in-flight contamination levels. This is realized by experimentally finding a number of sticking coefficients for a set of chemical species released from a contaminated surface during the thermogravimetric analysis. The predicted results are in good agreement with the experimental values.

众所周知，航天器材料的释气会降低各种部件的性能，其中特别受影响的是冷和低温表面。对于那些因分子污染而遭受性能损失的表面，重要的是在项目的早期阶段评估污染水平以应用必要的风险缓解和/或风险规避。这项工作的重点是用于模拟和改进飞行中污染水平的长期预测的分子污染模型的再排放参数。这是通过在热重分析过程中通过实验找到一组从受污染表面释放的化学物质的粘附系数来实现的。预测结果与实验值吻合良好。