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RECONFIGURATION CAPABILITIES OF SINGLE-PURPOSE MACHINE TOOLS BASED ON PARALLEL KINEMATIC STRUCTURES

机译:基于并行运动结构的单一机床工具的重新配置功能

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Diminishing batch sizes, reduced series periods and a rising part variety require an increased flexibility and higher productivity in the machine tool industry. One solution to reconcile these needs are reconfigurable machining systems. With its modularity, convertibility, integrability and customization parallel kinematic based machine systems have the best preconditions to fulfill these attributes. Geometrical and material parameters of the workpieces in the process chain on the one hand and optimized machine structures on the other hand require qualified methods to develop reconfigurable machine tools. The task was to generate potential full parallel structures, to find a general description method and to keep the level of simulation work down. Parameters like the number of guide chains and the total of systems/joints degree of freedom were the basis for the investigations. The optimization of parallel link structures is represented by a multi-criterion optimization task only hardly to be solved by conventional optimization algorithms. The authors introduce an optimization structure based on Genetic Algorithms which presents one way to increase the efficiency in conception and design of parallel structured machine tools.
机译:批量尺寸减少,序列周期减少和上升的部分各种需要增加机床行业的灵活性和更高的生产率。调和这些需求的一个解决方案是可重新配置的加工系统。凭借其模块化,可转换,可积和定制并行运动基于电机的机器系统具有满足这些属性的最佳前提条件。另一方面,过程链中工件中工件的几何和材料参数,另一方面优化的机器结构需要合格的方法来开发可重新配置的机床。该任务是生成潜在的完整并行结构,找到一个常规描述方法并保持模拟水平工作。像指导链数量的参数和系统/关节自由度的总数是调查的基础。并行链路结构的优化由多标准优化任务表示,仅通过传统的优化算法解决。作者介绍了基于遗传算法的优化结构,该算法呈现了提高平行结构化机床概念和设计效率的一种方法。

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