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钻取式自动采样机构螺旋钻杆结构参数的多目标优化
引用本文:王丽丽,刘志全,吴伟仁,张之敬.钻取式自动采样机构螺旋钻杆结构参数的多目标优化[J].宇航学报,2015,36(6):723-730.
作者姓名:王丽丽  刘志全  吴伟仁  张之敬
作者单位:1北京理工大学机械与车辆学院,北京100081; 2中国空间技术研究院总体部,北京100094; 3探月与航天工程中心,北京100037
基金项目:国家重大科技专项(TY3Q20110001)
摘    要:分析了螺旋钻杆的输出月壤原理和输出月壤阻力(阻力矩)以及综合考虑了螺旋槽内月壤对钻杆驱动力矩的影响、螺旋升角的取值范围和钻杆的轴向钻进功率后建立了钻杆驱动力矩、轴向加载力及功耗的模型。利用该模型分析了钻杆外径、螺旋槽深、槽宽比及螺旋升角等结构参数对钻杆驱动力矩和轴向加载力的影响,获得了钻杆结构参数对钻杆驱动力矩和轴向加载力的影响规律。以钻杆质量和功耗最小为双优化目标,以钻杆外径、螺旋槽深、槽宽比及螺旋升角等结构参数为设计变量,基于遗传算法对钻杆结构参数进行了优化,优化后的功耗较优化前降低了31.8%,钻杆质量减小了23.3%。总体减少了钻探风险,可为钻取式自动采样机构的设计提供理论依据。

关 键 词:螺旋钻杆  遗传算法  多目标优化  Matlab  月壤  
收稿时间:2014-05-23

Multi Objective Optimization of Drill Stem′s Motion Parameter of Lunar Automatic Drill Sampling Mechanism
WANG Li li,LIU Zhi quan,WU Wei ren,ZHANG Zhi jing.Multi Objective Optimization of Drill Stem′s Motion Parameter of Lunar Automatic Drill Sampling Mechanism[J].Journal of Astronautics,2015,36(6):723-730.
Authors:WANG Li li  LIU Zhi quan  WU Wei ren  ZHANG Zhi jing
Institution:1.School of Mechanical Engineering,Beijing Institute of Technology, Beijing 100081,China; 2.Institute of Spacecraft System Engineering,China Academy of Space Technology, Beijing 100094,China; 3.Lunar Exploration and Aerospace Engineering Center,Beijing 100037,China
Abstract:Based on the analysis of the output of lunar soil principle and the (resistance moment) output of lunar soil resistance of spiral drill stem, the impact of lunar soil in the spiral groove regolith on drill stem driving torque, the valued field of helix angle and axial drilling power drill stem are considered, and models of drill stem driving torque, axial loading force and power consumption model are established, then effects of structural parameters such as the outer diameter of drill stem, the depth of spiral groove, groove width ratio and helix angle on the driving torque and the axially loading force of drill stem are analyzed by using the above models, and the rule of effect of structure parameters on the driving torque and the loading axially force of drill stem is obtained. Both mass and power consumption of drill stem are selected to be two-objective optimization, outer diameter of drill stem, depth of spiral groove, groove width ratio, helix angle and other parameters are taken as design variables, and the structure parameters of drill stem are optimized by using genetic algorithm. The power consumption is reduced by 31.8% and the mass of drill stem is reduced by 23.3% after optimizations, thus reducing the risk of drilling and providing a theory basis for the design of automatic drill sampling mechanism.
Keywords:Spiral drill stem  Genetic algorithm  Multi-objective optimization  Matlab  Lunar soil  
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