摘要
螺旋钻机变幅机构铰点位置是影响变幅机构性能的关键因素之一,它对变幅油缸最大油压、变幅机构各铰点最大受力、活动钻桅起柱时间等变幅机构主要性能参数都有决定性影响。针对传统设计方法对获取最佳铰点位置需要反复试算、耗时长、效率低且难以精确定位的不足,为了快速、高效、准确地获取最优铰点位置,以变幅机构的活动钻桅为研究对象,在分析变幅机构结构和工作原理的基础上,建立了变幅机构力学模型,并将变幅油缸的油压作为目标函数,以变幅机构的结构限制和油缸制造工艺要求确定约束条件。基于粒子群优化算法,结合MATLAB对目标函数进行运算分析,以变幅油缸的最大油压最小为目标确定了变幅机构最优铰点位置。铰点位置优化后,变幅油缸最大油压降低了9.2%,变幅机构各铰点最大受力降低了9.1%~9.2%,变幅机构性能明显得到提升。该研究提供了一种快速可行的铰点位置优化方法,对变幅机构的优化设计具有实际参考意义。
The hinge point position of auger driller luffing mechanism is one of the key factors that affect the performance of luffing mechanism, and it has a decisive influence on the main performance parameters of luffing mechanism such as the maximum oil pressure of the luffing cylinder, the maximum force of the hinge points and the rising time of the moving rig. Aiming at the shortcomings of traditional design method in obtaining the optimum hinge position, which needs repeated trial calculation, and is time consuming, inefficient and difficult to determine accurately, in order to get the best hinge point position quickly and accurately, the moving rig in luffing mechanism is adopted as the research object. The force model of luffing mechanism was established after the structure and working principle of luffing mechanism was analysed. The oil pressure of the luffing cylinder was chosen as the objective function, and the constraint conditions were confirmed by the structure limit of the luffing mechanism and the processing request of luffing cylinder. Based on the particle swarm optimization （PSO） algorithm and calculation of the objective function by MATLAB, the optimal hinge position of luffing mechanism was determined by the minimum maximum oil pressure of the luffing cylinder. After the hinge point position optimized, the maximum oil pressure of luffing cylinder decreased 9.2%, and the maximum force of the hinge points decreased 9.1%-9.2%, which showed that the performance of luffing mechanism was improved obviously. The research provides a quick and feasible method to optimize the hinge point position, and it has practical reference significance for the optimization design of luffing mechanism.
作者
胡均平
彭要明
HU Jun-ping;PENG Yao-ming(College of Mechanical and Electrical Engineering,Central South University,Changsha 410083,China)
出处
《工程设计学报》
CSCD
北大核心
2018年第5期561-566,596,共7页
Chinese Journal of Engineering Design
基金
国家自然科学基金资助项目(51175518)
湖南省科技中小型企业技术创新基金资助项目(12C26214305029)
关键词
螺旋钻机
变幅机构
粒子群优化算法
铰点位置优化
auger driller
luffing mechanism
particle swarm optimization （PSO） algorithm
hinge point position optimization
