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Robot-process precision modelling for the improvement of productivity in flexible manufacturing cells

机译:机器人处理精度建模,用于提高柔性制造细胞生产率

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摘要

Industrial robots are traditionally used at machining cells for machine feeding and workpiece handling. A reassignment of tasks to improve the productivity requires a modelling of the robot behaviour from the point of view of its position precision. This paper characterizes and predicts the precision achievable when drilling with an industrial robot in order to use it in machining operations.Robot behaviour and drilling phenomena are analysed to determine working accuracy and their contribution in position deviation and uncertainty. An efficient model for drilling is developed, applying quaternions and considering the influence of all cutting tool angles, providing a very precise estimation of drilling torques and forces. An innovative model for the robot is developed based on multibody systems, using mixed natural coordinates that enhance the computing and deliver outputs with direct interpretation. Besides, the effect of stiffness is added in joints as additional element.The complete robot-process model shows the significative process influence in working precision against robot influence. This influence is responsible of up to 40% of the total uncertainty. The model and the tests performed show that the deviations and their uncertainties depend strongly on drilling forces and the robot configuration. In the other hand, the model allows to correct the systematic behaviour in robot deviations and improve with that the position tolerance of the holes to be drilled.
机译:工业机器人传统上用于机械加工电池,用于机器喂料和工件处理。重新分配用于提高生产率的任务需要从其位置精度的角度来看机器人行为的建模。本文的特点是和预测使用工业机器人钻孔时可实现的精度,以便在加工操作中使用它。分析了对行为和钻井现象来确定工作准确性及其在位置偏差和不确定性的贡献。开发了一种有效的钻井模型,施加四季度并考虑所有切削工具角度的影响,提供了钻孔扭矩和力的非常精确的估计。使用混合自然坐标基于多体系开发了一种机器人的创新模型,这些系统使用混合自然坐标来增强计算,并提供直接解释的输出。此外,刚度的效果作为额外的元素在关节中添加。完整的机器人过程模型显示了对机器人影响的工作精度的重要性过程影响。这种影响负责总不确定性的高达40%。该模型和测试表明,偏差及其不确定性在钻孔力和机器人配置中强烈依赖。另一方面,该模型允许校正机器人偏差中的系统行为,并随着要钻孔的孔的位置容限而改善。

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