Artificial intelligence and machine learning are increasingly shaping the development of modern smart manufacturing systems, where reliable and efficient operation is strongly dependent on accurate awareness of machine states and process conditions. In this paper, the practical applicability of data-driven methods is demonstrated through a representative case study of a hydraulic press used in sheet metal bending operations…

The paper addresses the development of energy digital twins for discrete manufacturing processes with the aim of improving energy consumption management. Due to increasing price volatility of energy sources and the demands of the green transition, accurate energy consumption forecasting is becoming crucial for maintaining companies’ competitiveness…

The paper presents modern approaches to end-of-line (EoL) quality inspection, i.e. the final inspection stage in the manufacturing process of electric motors, based on artificial intelligence. Traditional EoL systems rely on extensive signal processing and expert-defined features and thresholds…

In modern industrial production, there is a tendency to optimize manufacturing processes, with a special emphasis on reducing energy consumption and waste and maximizing manufacturing flexibility. In forming processes, customers’ need to narrow manufacturing tolerances increases production complexity…

This study presents an extended approach to digital twins for improving sustainability and efficiency in assembly systems. As part of the development, two digital twins were developed for a pallet circular production line with three workstations.

3D scanning is a non-contact technology that can convert a physical object into a digital model, enabling the industry to perform reverse engineering and quality control (checking compliance with regulations). Advanced technologies such as 3D scanning are often used in quality control.

Users of modern machines and equipment, both at home and at work, expect the ability to monitormachine operating parameters on mobile devices. This allows for easy insight into the machine’s status, monitoring of working capacity, fast diagnostics and remote service, warning of potential problems and preventive maintenance. The goal of the project is to provide users of forestry machines with a very simple insight into the machine’s operation.

Upfront simulation is a term to describe simulation activities being performed early in the design stage. So before physical prototypes are made or full systems being built. The goal is to identify potential issues, optimize designs and predict performance as early as possible, when changes are cheaper and easier to make.

This article presents five innovative mechatronic prototypes developed as educational tools to enhance engineering education by bridging theoretical concepts with practical implementation. The systems are organized into two thematic sections.

The article presents the use of the Gradient Adjoint Method for numerical optimization of internal channels in hydraulic manifolds manufactured using additive manufactuirng. Traditional design methods are often limiting the geometry due to machining and support structure requirements. Additive manufacturing enables complex geometries; however, for components with internal fluid flow, it is still necessary to consider the constraints of additive manufacturing processes and self-supporting conditions.