MODEL FOR CALCULATING THE RELIABILITY OF SAMPLES OF KINEMATIK PAIRS OF MACHINE-ROBOTS

V. Yahlinskyi, S. Hutyria, V. Vovk
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Abstract

In the article, the reliability issues of machine tool mechanisms are still more at the stages of pre-project studies and experimental tests. In connection with the introduction of highly effective technological processes, systems of automated design and production, complex systems that provide a high level of labor productivity, the requirements for reliability, durability and workability are constantly growing. Failures of mechanisms in the composition of robotic machines, in accordance with their physical nature, can be associated with the destruction of nodes and details of mechanisms and their drives, jamming of individual elements and other reasons that lead to the fact that the technological equipment becomes unable to perform its functions. Rice's formula was used to determine the average parameter of the flow of rejections. To estimate the average parameter of the flow of failures, it is necessary to know the density of the joint distribution of the state parameter and the rate of its change over time. In many cases, such processes are described by a stationary random function with a normal law of distribution of both the state parameter and the rate of its change. Parametric failures precede functional failures, and can also cause them. Sudden failures are considered in a quasi-static formulation as the process of a random sequence of parameters exceeding the permissible limits in space. It is proposed to carry out the reliability study in the following three main stages: construction on the basis of theoretical or experimental studies of the dependence of the initial parameter on load indicators; thorough statistical analysis of operating conditions, probabilistic description of load indicators; construction of the distribution of the initial parameter. The algorithm for calculating system reliability indicators is presented, the initial parameter of which is presented in the form of a random sequence, imitating the work of a certain number of samples of the machine-work kinematic pair in real operational conditions up to their complete wear. The initial basic size and criterion parameter for each sample are determined by the Monte Carlo method.
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机械机器人运动对样本可靠性计算模型
在本文中,机床机构的可靠性问题还停留在项目前期研究和实验试验阶段。随着高效技术流程、自动化设计和生产系统、提供高水平劳动生产率的复杂系统的引入,对可靠性、耐用性和可加工性的要求不断增长。机器人组成中的机构故障,根据其物理性质,可能与机构及其驱动器的节点和细节的破坏,单个元件的干扰以及导致技术设备无法执行其功能的其他原因有关。采用赖斯公式确定了流场的平均参数。为了估计故障流的平均参数,需要知道状态参数联合分布的密度及其随时间的变化率。在许多情况下,这样的过程用一个平稳的随机函数来描述,这个函数的状态参数及其变化率都具有正态分布规律。参数失效先于功能失效,也可能导致功能失效。在准静态公式中,突发性失效被认为是参数随机序列超过空间允许极限的过程。建议在以下三个主要阶段开展可靠性研究:在初始参数对荷载指标依赖关系的理论或实验研究基础上进行构建;对运行工况进行深入的统计分析,对负荷指标进行概率描述;构造初始参数的分布。提出了系统可靠性指标的计算算法,该算法以随机序列的形式给出了初始参数,模拟了一定数量的机工运动副在实际运行状态下直至完全磨损的工作情况。每个样品的初始基本尺寸和判据参数由蒙特卡罗方法确定。
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