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Mathematic formulation for the generation of combined paths for mounting parts in assembly

机译:用于在组装部件安装零件的组合路径生成数学制剂

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Today, the assembly process is the least automated phase of production for mechanical products. The percentage of the automated assembly line operations of automobiles fluctuates between 10 and 20% according to manufacturers. The use of industrial robots in the assembly lines played a decisive role in the development of their activity despite the high cost. Indeed, this strategy is a key element that increases productivity. The use of robots in assembly tasks requires the trajectory determination of parts to be assembled from the design phase of the product. This problem is difficult if the part may interfere with other elements and requires combined trajectories to avoid the interference. Therefore, the simulation of part assembling trajectories from the design phase is an interesting and topical research issue. The main objective of this paper is to develop a new approach to generate multidirectional combined trajectories of parts. A mathematical formulation of the proposed approach is firstly proposed, being based on both the position matrix concept and the bounding box method. A didactic example is used to illustrate the different stages of the proposed approach. To highlight the computer implementation of the proposed method, an industrial case study is presented. This example was chosen to illustrate the effectiveness of the proposed approach such as the gain of assembly time, the reduction of costs by robotization of the work, and the programming assistance of these robots.
机译:如今,装配过程是机械产品的最少自动化阶段。根据制造商,汽车自动装配线操作的百分比在10%和20%之间波动。尽管成本高,但在装配线中使用工业机器人在开发活动方面发挥了决定性作用。实际上,这种策略是提高生产力的关键因素。在装配任务中使用机器人需要从产品的设计阶段组装零件的轨迹确定。如果部件可能干扰其他元素并且需要组合轨迹以避免干扰,则困难这个问题。因此,从设计阶段模拟部分组装轨迹是一种有趣和局部的研究问题。本文的主要目的是开发一种新的方法,可以生成零件的多向组合轨迹。首先提出了所提出的方法的数学制定,基于位置矩阵概念和边界盒方法。教学例子用于说明所提出的方法的不同阶段。为了突出所提出的方法的计算机实现,提出了一种工业案例研究。选择该示例是为了说明所提出的方法的有效性,例如组装时间的增益,通过机器人的机器人的机器人化减少成本,以及这些机器人的编程辅助。

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