The article describes the measurement of unidirectional pose accuracy and repeatability of a collaborative robot. The objective of the measurements is to investigate and evaluate unidirectional accuracy of the six-axis collaborative robot UR5 of the company Universal Robots. The measurement methodology was based on outlining an imaginary ISO cube placed in the robot’s workspace, in which the robot’s tool centre point (TCP) attained five measurement points in thirty measurement cycles. A video camera and six linear incremental sensors with six evaluation units were used for the measurement. The measured values are presented and applied according to the ISO 9283 standard. On the basis of the measurement, we verified technical specifications of unidirectional pose accuracy and repeatability of the robotic arm UR5 specified by its producer.

At present, 3D printing is considered as a new phenomenon of the 21st century. 3D printing is an additive manufacturing technology which can create a physical model of layering material based on electronic data. It is a fast and efficient technology that uses real physical imaging of the exact dimensions of prototype models produced by the gradual application and curing layers of material in the form of foils, powders, wire coils, and the like. The current trend is the continuous development of 3D printing technology in the form of experimentation by using new types of materials and the development of new, specially designed 3D printers and devices that lead to progress in modeling in several areas of industry. By combining several advanced means of technology into one unit an interesting idea to create a device to print larger and more complex shapes of parts may arise. The article describes the design of a 3D print head working with the ABB IRB 140 robotic arm with goal to design a device which is able to print larger objects in size compared to conventional 3D printer.

The article describes application of selected methods of technical diagnostics for assessing the operating status of precision gearboxes. Within the confines of experimental measurements in the field of physical metallurgy materials of diagnosed system were being examined while taking into account the process of degradation of material properties during operation of monitored gearboxes. Measurements and collecting of dynamic data were realized on 4 selected gearboxes where a high-frequency vibrations and acoustic emission (noise) measurements were carried out. Retrieved values were subsequently used for mutual correlation and verification of applied methods. Results of both selected methods underlined unsatisfactory operation status with 3 inspected gearboxes. Measured values were identified as being above suggested caution limit of Alarm 2, representing a level of danger.

Additive manufacturing is becoming one of the most utilized tools in an increasing number of fields from Industry 4.0 concepts, engineering, and manufacturing to aerospace and medical applications. One important issue with additive-manufactured components is their orthotropic behaviour where mechanical properties are concerned. This behaviour is due to the layer-by-layer manufacturing process and is particularly hard to predict since it depends on a number of factors, including the manufacturing parameters used during the manufacturing process (speed, temperature, etc.). This study aimed to create and train an artificial neural network-based predictive model using empirical tensile strength data obtained from additive manufactured test parts using the FDM method and PLA material. The predictive model was designed to predict mechanical characteristics for different orientation axis, which were used to set the material properties for finite element analysis. Results indicate a strong correlation between predicted finite element analysis behaviour and real-world tests on additive-manufactured components. The neural network model was trained to an accuracy of ~93% for predicting the mechanical characteristics of 3D-printed PLA material. Using the predicted mechanical characteristics for defining a custom orthotropic material profile in finite element analysis, the simulated failure mode and the behaviour of a complex geometry component agreed with the real-world test.

The study of press fit bearing‐shaft joint dimensional parameters by means of analytical and numerical calculations in order to identify those parameters of the press fit joints which significantly influence the life of the bearings fitted by pressing is dealt in this paper. The mounting and conditions of fit joint are the significant factors affecting the operability and life of the bearings and consequently that of rotating machines and the whole technical units. The aim of the analysis and study is to determine the tangential and radial stress, the radial displacement, and the influence of the shape features and the size of the interference on the change of the radii in the press fit bearing‐shaft joint, in particular, the ball bearings of 6014 2RSR C3 type. Moreover, on the basis of obtained results, the paper discusses the impact of shaft dimensional and geometrical accuracy on the bearing lifetime.