Increase in productivity of the micro slide conveyance by part-specific and adaptive process models

作为DFG项目的一部分，在卡尔斯鲁厄的WBK生产科学研究所设计并研究了一种替代方法，用于将压电振动输送机耦合到微型零件的柔性进给系统，以实现基于微滑动输送机的小型和易碎零件的自动柔性进给。然而，对于该系统的生产性和高效运行，仍然缺乏明显的研究。这主要是由于缺少适用于输送过程的过程模型造成的。到目前为止，只能分别对一些选定的特殊情况[Trö-11]或[Hab-84]和一般形式的[Moz-72]进行建模。由于影响因素很多，它们的部分未知效应和相互作用，以及运行过程中不断变化的环境影响，从力学和物理学的角度开发一个普遍适用的过程模型似乎非常复杂，但前景并不是很好。因此，该项目的目标是在压电式振动输送机的基础上，借助合适的工艺模型，提高自动化模块化柔性加料系统的效率和生产率。在该项目中，将首先开发一种方法，用于对压电式振动输送机上的微滑动输送机的部件特定工艺模型进行自动建模。在适当算法的帮助下，就有可能为不同的输送过程确定理想的输送参数，如以最大速度输送或快速直接定位。例如，在环境条件发生变化的情况下，用于监控模型质量的特殊方法还应允许在运行期间对过程模型进行自动校正或调整。该项目的成果是一种配备图像处理的柔性压电驱动进给系统的智能控制。该控制包括建模功能，无论何时需要进给新的和到目前为止未知的零件时，都会执行该功能。根据该模型调整输送参数以适应零件、工艺和环境状态，可显著提高根据微滑板输送原理工作的自动化模块化和灵活供料系统的效率和生产率。

As part of the DFG project, Basics for coupling piezoelectric vibratory conveyors to a flexible feeding system for micro parts, an alternative approach for the automated flexible feeding of small and fragile parts on the basis of the micro slide conveyance was worked out and examined at the wbk Institute of Production Science in Karlsruhe. However, for a productive and efficient operation of the system there is still a clear lack of research. That is primarily the result of a missing suitable process model for the conveying process. A modeling was so far only possible for some selected special cases [Trö-11] or [Hab-84] and in a generalized form [Moz-72] respectively. Due to many influencing factors, their partially unknown effects and interactions, and changing environmental influences during operation, a development of a generally applicable process model by looking at mechanics and physics seems very complex and not very promising though. So, the objective of the project involves increasing the efficiency and productivity of automated modular flexible feeding systems on the basis of piezoelectric vibratory conveyors with the help of suitable process models. Within the project a method for the automated modeling of a part-specific process model of the micro slide conveyance on piezoelectric vibratory conveyors will be developed first. With the help of appropriate algorithms there shall be then created the possibility to determine the ideal conveyance parameters for the distinct feeding process, like conveying at maximum speed or fast and direct positioning. Special methods for monitoring the model quality shall furthermore allow an automated correction or adjustment of the process model during operation in case of changed environmental conditions, for instance. The project result is an intelligent control of a flexible piezoelectrically driven feeding system equipped with image processing. This control includes a modeling function which is always executed whenever a new and so far unknown part needs to be fed. Conveyance parameters that are adapted on the basis of this model to the part, the process and the environmental state, enable a clear increase in efficiency and productivity of automated modular and flexible feeding systems that are working according to the principle of the micro slide conveyance.