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Automatic layout generation of robotic production cells in a 3D manufacturing simulation environment

机译:在3D制造仿真环境中自动生成机器人生产单元的布局

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Facing an increasing demand for flexible and reconfigurable production lines, the development and implementation of extensive simulation tools for faster planning of robot cells or entire production lines continue to gain importance. Simulation tools offer the opportunity to test robotic applications before the physical existence of the system, to ensure reachability and feasibility of the actual cell implementation and examine compliance with the desired cycle time during process execution. During simulation analysis, extracting data from the given layout and building the corresponding simulation model takes a considerable amount of time. To reduce the required time, one applicable approach is to automate the generation of the simulation model using data from tools used prior to the simulation analysis, such as layout planning tools. So far, data representation limits the straightforward data exchange between planning and simulation tools and constitutes a time-consuming task during simulative ramp up. This paper focuses on the automatic layout generation in a 3D simulation environment. To enable automatic layout generation, a suitable representation of the imported layout data is derived. For this purpose, available data exchange formats are compared and their suitability for automatic model generation is evaluated. As a result of the evaluation, AutomationML is identified to meet the requirements best. Using this format, the development of an interface is described, which makes it possible to import layout data into the simulation environment of Visual Components and automatically generate a simulation-model of the complete robotic cell layout.
机译:面对对灵活且可重新配置的生产线的日益增长的需求,开发和实现用于快速规划机器人单元或整个生产线的广泛的仿真工具的重要性不断提高。仿真工具提供了在系统实际存在之前测试机器人应用程序的机会,以确保实际单元实现的可及性和可行性,并检查过程执行过程中所需周期时间的符合性。在仿真分析期间,从给定的布局中提取数据并建立相应的仿真模型需要花费大量时间。为了减少所需的时间,一种适用的方法是使用来自仿真分析之前使用的工具(例如布局规划工具)中的数据来自动生成仿真模型。到目前为止,数据表示限制了计划和仿真工具之间的直接数据交换,并且在仿真加速期间构成了一项耗时的任务。本文重点介绍3D仿真环境中的自动布局生成。为了实现自动布局生成,导出导入布局数据的合适表示形式。为此,将比较可用的数据交换格式,并评估其对于自动模型生成的适用性。评估的结果是,确定AutomationML可以最好地满足要求。使用这种格式描述了界面的开发,该界面使将布局数据导入Visual Components的仿真环境并自动生成完整的机器人单元布局的仿真模型成为可能。

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