International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

Variability is a fact of industrial production. Every process produces products that are not exactly the same. For successful quality control and management, several different methods of preventive quality assurance have been developed in the early stages of the product development process. The SPC method is used in conditions from the initial process batches and in the stages of serial production. The SPC statistical process control method is indispensable for a modern, future-oriented manufacturing company. In this paper, I would like to present the SPC statistical method on a practical example from the motorcycle industry, with measurement results under the conditions of the first pre-series of a complex welded steel component.

Parents bought me a 3D printer three years ago. Many products have already been made on it, for friends and even a teacher who came up with the idea of making a promotional school windmill. A few of our classmates got together to cooperate on this project. Our task was to follow the demanding construction process, from planning to concepts, detailing, planning and production of technical documentation. In this article, I would like to present my work and the knowledge I have acquired through a school project: from conceptualization in the SolidWorks, to the production of a prototype on an Ender 3 S1 Plus machine. The 3D printer will produce the component with two different additive thermoplastic materials, PLA and PETG. If there is any significant difference in the accuracy of manufacturing the component with different materials will be shown by measuring on the Atos Q scanner.