小行星的有机物记录了太阳系早期有机物的形成发展历史,为地球早期生命前体出现的研究提供了重要依据,对于研究生命起源和演化具有重要意义.本文综合分析了小行星表面可能存在的有机物成分、种类及其赋存状态,利用红外光谱开展地面模拟实验,探讨有机物的红外光谱特征及其影响因素.结果表明,不同类型有机物的红外光谱特征与其类型、结构、温度和压力等有关.研究确定了小行星表面主要有机物的红外光谱识别标志,初步提出了小行星有机物红外光谱探测仪器的基本指标参数.

月球、小行星等无大气行星体具有独特的反射光谱太空风化改造特征,其成因主要被归结于纳米级—亚微米级不透明颗粒等太空风化特征产物.本研究结合Apollo 返回月壤样品、普通球粒和碳质球粒陨石样品的模拟实验结果,综合分析了太空风化特征产物的来源和成因,并讨论了其可能的光谱效应.研究结果表明,np-Fe0 (纳米级单质金属铁)是铁镁硅酸盐等矿物经过微陨石轰击引起的气化沉积作用和原位还原作用形成.np-FeNi(纳米级铁镍金属)的成因主要包括FeNi金属和陨硫铁的气化沉积与冲击分散成因.np-FeNiS(纳米级铁镍金属的硫化物)和sm-FeNiS(亚微米级铁镍金属的硫化物)主要形成于陨硫铁的冲击分散过程.上述不透明颗粒是形成月球与S型小行星紫外—近红外波段光谱反射率降低、特征吸收峰减弱和连续统红移等特征的主要原因.气泡结构主要形成于层状硅酸盐等矿物在微陨石轰击过程中的挥发分逃逸,推测是含水量较高的小行星(如Bennu)紫外-近红外波段光谱反射率增加和连续统蓝移等特征的主要成因.实验结果预期对月球与小行星返回样品分析以及反射光谱的太空风化改造特征的解释提供一定的参考.

All equipment must be maintained during its lifetime to ensure normal operation. Maintenance is one of the critical roles in the success of manufacturing enterprises. This paper proposed a preventive maintenance period optimization model (PMPOM) to find an optimal preventive maintenance period. By making use of the advantages of particle swarm optimization (PSO) and cuckoo search (CS) algorithm, a hybrid optimization algorithm of PSO and CS is proposed to solve the PMPOM problem. The test functions show that the proposed algorithm exhibits more outstanding performance than particle swarm optimization and cuckoo search. Experiment results show that the proposed algorithm has advantages of strong optimization ability and fast convergence speed to solve the PMPOM problem.

Considering dangerous environmental conditions, maintenance of radioactive equipment can be performed by remote handling maintenance (RHM) system. The RHM system is a sophisticated man-machine system. Therefore, human factors analysis is an inevitable aspect considered in guaranteeing successful and safe task performance. This study proposes an approach for integrated analysis of human factors in RHM so as to make the evaluating process more practical. In the approach, indicators of accessibility, health safety, and fatigue are analyzed using virtual human simulation technologies. The human error factors in the maintenance process are analyzed using the human error probability (HEP) based on the success likelihood index method-(SLIM-) analytic hierarchy process (AHP). The psychological factors level of maintenance personnel is determined with an expert scoring. The human factors for the entire RHM system are then evaluated using the interval method. An application example is present, and the application results show that the approach can support the evaluation of the human factors in RHM.

Assembly sequence planning (ASP) is a combinatorial optimization problem in which the order for each part and subassembly is determined.This order is then incorporated into an incrementally expanding subassembly and eventually results in a final assembly.To address this problem, we propose an improved cat swarm optimization (CSO) algorithm and redefine some basic CSO concepts and operations according to ASP characteristics.The feasibility and the stability of this improved CSO are verified through an assembly experiment.The improved CSO is also compared with particle swarm optimization.Experimental results show that the proposed algorithm effectively solves the ASP problem; thus, the application of the proposed algorithm should enhance ASP level.

Assembly sequence planning (ASP) of remote handling maintenance in radioactive environment is a combinatorial optimization problem. This study proposes an improved shuffled frog leaping algorithm (SFLA) for the combinatorial optimization problem of ASP. An ASP experiment is conducted to verify the feasibility and stability of the improved SFLA. Simultaneously, the improved SFLA is compared with SFLA, genetic algorithm, particle swarm optimization, and adaptive mutation particle swarm optimization in terms of efficiency and capability of locating the best global assembly sequence. Experiment results show that the proposed algorithm exhibits outstanding performance in solving the ASP problem. The application of the proposed algorithm should increase the level of ASP in a radioactive environment.

Based on the requirements for remote handling maintenance (RHM) of China Spallation Neutron Source (CSNS) multilayered pipes, pipes cutting tests were performed under remote handling maintenance conditions. In this study, the results were obtained from different cutting directions and supporting intensities of pipe baseplates comparisons: When enough power was provided and the blade gripper did not slip, the cutting direction had little impact on the cutting capacity but more on the fault surface; the clearance between the blades caused the rotating torque; for remote handling maintenance, good horizontal support of the long-handled lever of the hydraulic cutter was required. Significant conclusions were made for multilayered pipe cutting that are crucial for auxiliary tools development for remote handling maintenance.