自由曲面上喷涂机器人喷枪轨迹规划方法研究

提出了一种自由曲面上的涂层生长模型及喷涂机器人喷枪轨迹规划方法,选取时间和涂层厚度作为优化目标,寻找喷枪沿指定路径的最优时间序列,通过求解带约束条件的多目标优化问题,找到了一条能使工件表面上涂层厚度方差最小且喷涂时间最短的喷枪轨迹。本文的优化方法将最优变量个数从一般喷枪轨迹规划问题中的6个(代表喷枪的位姿)减少为1个,从而大大简化了问题的复杂性。     

车流波动条件下铁路枢纽编组站作业分工的优化

车流量的波动变化是铁路运输工作中不可回避的现象,该现象必然会影响根据平均车流量得到的运输组织方案的真实性和有效性。本文以铁路枢纽编组站作业分工为背景,研究车流波动条件下运输组织优化问题的随机化构模方法,利用置信水平的概念将所建模型转化成一个概率意义上的最优化模型,提出了基于约束条件随机检验的复合遗传算法。仿真计算表明,提出的模型和算法能够有效地解决车流波动条件下铁路运输组织的优化问题。     

车削循环加工编程技巧

为了提高数控编程效率,克服循环加工编程难点,针对积累循环车削加工,如锥体、球体等编程技巧进行了介绍,给出了相应的编程实例。     

随机型存储模型应用研究

研究不确定性因素下随机库存模型中的多时期存储控制系统,着重分析连续盘存的存储控制系统在不同情况下确定的安全库存量的最优采购策略,通过建立模型得出最优解,最后通过算例表明这种方法的优越性。     

土工合成材料不同位置加筋效果的对比分析

运用所编制的计算程序分析了堤坝下土工合成材料的加筋效果，揭示了土工合成材料不同位置的加筋效果，对比探讨了软基路堤与密实地基路堤的加筋效果，并且采用动态规划法搜索的临界滑动面对不同位置的加筋效果进行分析。     

开放经济市场体系中宏观产出最大化的数学模型

通过研究论述开放国民经济市场体系与宏观产出问题，建立了一个宏观产出的最 大化优化模型．并通过对这一数学模型分析最后探讨对其求解的各种可行的有效方法．     

柔性靠泊方式的集装箱码头马尔可夫过程研究

基于马尔可夫过程,分析柔性靠泊的生灭过程,结合实际集装箱码头,计算泊位系统状态转移概率和稳态分布概率。运用计算机仿真技术,提出基于随机过程的码头柔性靠泊通过能力的分析方法。通过仿真试验,根据实际数据,验证了方法的正确性。     

A multi-objective train scheduling model and solution

This paper develops a multi-objective optimization model for the passenger train-scheduling problem on a railroad network which includes single and multiple tracks, as well as multiple platforms with different train capacities. In this study, lowering the fuel consumption cost is the measure of satisfaction of the railway company and shortening the total passenger-time is being regarded as the passenger satisfaction criterion. The solution of the problem consists of two steps. First the Pareto frontier is determined using the -constraint method, and second, based on the obtained Pareto frontier detailed multi-objective optimization is performed using the distance-based method with three types of distances. Numerical examples are given to illustrate the model and solution methodology.     

The effect of the inflation pressure of tyres on motorcycle weave stability: experiments and simulation

Increasing the stability of a motorcycle requires an understanding of the optimal conditions of the tyre. The inflation pressure is one of the main parameters that directly affects the tyre properties, which in turn influences motorcycle stability and safety. This paper focuses on the effect of the inflation pressure of the tested tyres on motorcycle weave stability. Experimental data are collected from tests carried out in straight running at constant speed. The data analysis is based on stochastic subspace identification methods. Simulations are performed using an advanced motorcycle multi-body code with parameters measured from the tested vehicle. Finally, the comparison between simulations and experimental tests is discussed. The research results show an agreement between experimental tests and simulations where weave stability increases with inflation pressure for the specified range of tyre pressure.