This article describes an innovative automatic storage system based on the Raspberry Pi. It substantiates the grounds of the undertaken subject and presents an overview of existing solutions of the automatic storage. Moreover, the type and structure of the machine were selected and the analysis...

This paper presents a method of numerical simulation, using the finite element method for the brush wear process during the deburring of the edge of the workpiece. The work was carried out in the Ansys Workbench environment in the Ansys Mechanical module. This study reviews the effect of selected parameters of the technological process (rotational speed and depth of tool penetration into the workpiece) on the abrasive wear of the tool. The discussion examines the subject of the 3D or 2D approach in terms of results, quality, and time of computation. A series of numerical analyses (2D) were carried out to investigate the effect of process parameters on the wear rate and, consequently, on the tool life. Obtained results on the quantity of worn material were critically assessed in relation to real-world industrial conditions. The difference between the numerical model and the test performed in the industry environment varied from 3 to 46% and was discussed in this paper. Additionally, to improve the quality of the results in Ansys, an APDL script with adaptative mesh was prepared. The article contains a discussion on the possibility of numerical model development.

In the engineering practice of performing robotic measurements with a 2D scanner, a major difficulty is to accurately determine the tool center point (TCP) quickly and easily since it does not exist as a physical object. The article proposes an algorithm for determining the coordinates of the TCP point. It relies on the possibility of using a conical element, such as a milling cutter of unknown geometry. So far, the algorithms found in the literature were based on a sphere of known size. The presented solution was simulated in RobotStudio 2019 software, while calculations were performed in Maple 14 software. In addition, the correctness of the presented solutions was verified on a real object, an IRB 2400 robot equipped with a Keyence 2D scanner.