极地研究2025，Vol.37Issue(1)：83-91,9.DOI:10.13679/j.jdyj.20230024
冰层钻具刮削刀头切削破碎冰层数值模拟研究
Numerical simulation study on ice-cutting performances of scraping blade in ice drilling
摘要
Abstract
In polar drilling,the mechanical properties of ice such as the compressive strength,tensile strength,and fracture toughness are very important parameters.Therefore,this study used a finite element numerical simulation method to analyze the characteristics of a scraping blade cutting a broken ice layer.Based on the average cutting force and the cutting force variation coefficient,the force characteristics of the cutting blade were explored and the influence of cutting process parameters on the efficiency of the scraping blade cutting a broken ice layer was investigated.Numerical simulation results revealed a notable concentration of stress at the front end of the scraping blade during the ice breaking process,and discrete ice chips and four splashes were generated throughout the entire cutting process.With increase in the caster angle of the scraping cutter head,the degree of plastic damage of the ice body increased,and the size of the ice chips generated initially decreased and then increased.With increase in the cutting depth,the degree of plastic damage increased,and the number,size variation,and splashing range of ice debris also increased corre-spondingly.Increase in the cutting depth and cutting angle increased the average cutting force of the broken ice body,but the degree of fluctuation was small when the caster angle was 0°～15° and the cutting depth was 1.0～3.0 mm.The influence of cutting depth on the coefficient of variation of the cutting force was found to be much greater than that of the caster angle.The findings of this study provide a theoretical basis for the design of a scraping blade for use in polar ice drilling.关键词
刮削刀头/冰层钻进/数值模拟/变异系数/冰屑/极地钻探Key words
cutting blade/ice drilling/numerical simulation/coefficient of variation/ice debris/polar drilling引用本文复制引用
史怀忠,孙金铭,赫文豪,王海柱,熊超,陈晗,胡成涛..冰层钻具刮削刀头切削破碎冰层数值模拟研究[J].极地研究,2025,37(1):83-91,9.基金项目
国家重点研发计划(2021YFA0719101)和中国石油大学(北京)科研基金(2462022YXZZ007)资助 （2021YFA0719101）
