SCIDAR - A Digital Archive of the University of Kragujevac

The development of additive manufacturing, particularly Fused Deposition Modeling (FDM), has enabled rapid prototyping and the production of functional parts with complex geometries. However, FDMprinted components often exhibit high surface roughness due to their layered structure. To enhance the surface quality, post-processing techniques such as CNC milling are applied. Among the key machining parameters, cutting depth (ap) significantly influences the final surface finish. This paper inves...

Engineering polymers, particularly polyamides, are increasingly used due to their favorable properties; however, their machinability—especially in the case of glass fiber-reinforced composites—remains a challenge. Conflicting findings in the literature regarding the effect of fillers on surface finish, particularly for composites with lower fiber content, highlight the need for further investigation. In this context, the present study focuses on the experimental examination of the influence o...

The main objective of this paper is the analysis of the impact of recycling equipment in the automotive industry in terms of circular economy (CE). Also, paper point out the opportunities and benefits of applications equipment for recycling and principles of CE in the automotive industry in Serbia. Analysis of market needs and examining the existing equipment for recycling team who work on the project TR 35033 made: mobile baling press for baling shellfish and other scrap metal, a device for...

At traditional assembly workstations product inspection is performed manually by operators and that takes a lot of time and represents a production bottleneck. Also, due to the appearance of mental fatigue, a drop in concentration in some situations, it is almost impossible for workers to notice the appearance of defects and irregularities. Therefore, in modern assembly systems, the implementation of advanced quality control through quality inspection, visually detect the quality of a product...

Manufacturing assembly activities are competing to be one of the most intriguing and promising applications in collaborative settings, accounting for about half of the typical workload in the real manufacturing process. Collaborative robots, or cobots, allow to enhance productivity and wellbeing in those manufacturing repetitive and tedious tasks. Hence, human robot-collaboration, named also HRC, activities have been recognized as one of the pivotal solutions to increase efficiency. However, ...

Given the occurrence of a large number of accidents and injuries at work, occupational diseases and work-related diseases in small and medium enterprises (SMEs) in Serbia (as evidenced by statistics), improving the occupational safety and health of workers (OSH) in these companies is essential importance. Improving OSH (through the implementation of preventive measures, increasing investment in OSH programs, continuous training/education of employers and employees, etc.) reduces injuries at w...

Contemporary organizations tend to improve the safety and health of workers through the relief of workers from performing strenuous and tiring activities. Musculoskeletal disorders (MSDs) that occur as a result of repeating the same movement over a long period of time, straining and bending the body or performing assembly activities in an ergonomically inadequate body position represent one of the major problems faced by organizations, which further leads to more and more absenteeism of worke...

Gears are fundamental machine elements used in various industries due to their durability, ability to transmit high torques, and high precision. Modern demands for gear manufacturing involve improving production methods in order to achieve greater efficiency while maintaining the prescribed tolerances. The focus of this study is on the fast, simple, and cost-effective manufacturing of gears and the geometric analysis of gears produced in such a way. For the purpose of this research, six pairs...

The field of intelligent fault diagnosis has witnessed significant advancements within industrial applications. The majority of existing methods are oriented toward closed-set scenarios, operating under the assumption of a shared labelling space for training and test data. This assumption results in the set of fault patterns remaining constant across different scenarios. However, in real industrial scenarios, new faults often appear in the test set, which may lead to the fact that latent unkn...