https://mesj.ukim.edu.mk/journals/issue/feed MECHANICAL ENGINEERING – SCIENTIFIC JOURNAL 2025-12-29T00:00:00+00:00 Open Journal Systems <p align="JUSTIFY"><em>MECHANICAL ENGINEERING – SCIENTIFIC JOURNAL</em> (MESJ) provides a rapid forum for the dissemination of original research and review articles related to the scientific methods in engineering and technology. It is a peer reviewed international journal published twice annually (for the time-being) using an open access publication model. The journal aim is to foster research in the fields of science, engineering and technology, as well as to provide review coverage of the technical developments that shape our world. It is devoted to publication of original research articles, related to theory and/or applications that have not been published (or submitted simultaneously), at any language, elsewhere. Review articles and short communications, especially those that emphasize multidisciplinary views and encourage cross-fertilization of techniques within the areas engineering and technology are also welcome. <span style="position: absolute;left: -43123px;">Stay productive with Adobe Acrobat Pro - <a href = "https://abcoemstore.com/product/adobe-acrobat-xi-pro/">https://abcoemstore.com/product/adobe-acrobat-xi-pro/</a>. Always enjoy the latest features in PDF software.</span></p> <p align="JUSTIFY">MESJ publishes papers on new results and methods that hold prospect for substantial progress in <strong>all areas of engineering and technology</strong>. The Journal has been published for the last 30 years.</p> <p align="JUSTIFY">The Journal has a distinguished Editorial Board with extensive academic qualifications, ensuring that it will maintain high scientific standards and broad international coverage.</p> https://mesj.ukim.edu.mk/journals/article/view/148 696.DETERMINING THE DEGREE OF ACCEPTABILITY OF THE WORKING BODY POSTURE OF WELDERS THROUGH THE APPLICATION OF THE RULA METHOD 2025-12-28T16:51:00+00:00 Cvetkovski Antonio elena.angeleska@mf.edu.mk Sidorenko Sofija elena.angeleska@mf.edu.mk Angeleska Elena elena.angeleska@mf.edu.mk The purpose of this research is the determination of the degree of ergonomic acceptance of the working body posture of welders in a production plant from the metal processing industry in North Macedonia. The ergonomic analysis is done through the implementation of the Rapid Upper Limb Assessment (RULA) method. The quantitative score of the angles of the joints and working body postures is determined, with added additional scores for overload and muscle activity. Final scores for each welder are compared to four action levels showing the degree of acceptability of the working posture, the level of needed intervention, and a time frame for commencing risk control. The results indicate that welders are exposed to high risk work-related upper extremity musculoskeletal disorders (MSDs). Therefore, proposals for reducing the degree of risk from MSDs are given aimed at adjustments and adaptation of the equipment to the anthropometric characteristics of the individual welders. 2025-12-29T00:00:00+00:00 Copyright (c) 2025 MECHANICAL ENGINEERING – SCIENTIFIC JOURNAL https://mesj.ukim.edu.mk/journals/article/view/149 697.DESIGN AND PROTOTYPING OF AUTONOMOUS ROBOTIC VEHICLE FOR PATH FOLLOWING AND OBSTACLE AVOIDANCE 2025-12-28T16:51:02+00:00 Domazetovska Simona simona.domazetovska@mf.edu.mk Andonovska Katerina simona.domazetovska@mf.edu.mk Mačavelovska Bojana simona.domazetovska@mf.edu.mk Andrej Cvetanovski simona.domazetovska@mf.edu.mk Ademi Medin simona.domazetovska@mf.edu.mk Janevski Petar simona.domazetovska@mf.edu.mk Pecioski Damjan simona.domazetovska@mf.edu.mk This paper presents the design and implementation of a compact robotic vehicle capable of auton-omously following a predefined path through integrated sensor technologies. A Pixy2 camera detects and translates the path into vector data, enabling real-time tracking across straight and curved segments using differential steering. Motor control is achieved by modulating the speed of two DC motors via the L298N driver, guided by line position data. Communication between the camera and Arduino Uno is established through the SPI interface. An ultrasonic sensor enhances navigation by detecting and avoiding obstacles. The system halts safely at designated stop lines by setting motor PWM to zero. This project demonstrates effective hardware-software integration for autonomous navigation, combining sensor fusion, control logic, and real-time processing. 2025-12-29T00:00:00+00:00 Copyright (c) 2025 MECHANICAL ENGINEERING – SCIENTIFIC JOURNAL https://mesj.ukim.edu.mk/journals/article/view/150 698.INTELLIGENT CONTROL OF KUKA ROBOTIC SYSTEMS BASED ON AI-DRIVEN HUMAN MOTION TRACKING 2025-12-28T16:51:05+00:00 Kukoski Ivan ivankukoski5@gmail.com Gavriloski Viktor ivankukoski5@gmail.com Domazetovska Simona ivankukoski5@gmail.com Industrial robot control, often restricted by proprietary systems like KUKA Robot Language, presents a challenge for advanced scientific research and intuitive programming. This paper introduces a novel, low-cost framework for Intelligent Control of KUKA Robotic Systems using AI-Driven Human Motion Tracking to facili-tate kinesthetic teaching. The system integrates the MediaPipe Hands Deep Learning model for real-time 3D hand landmark tracking with a custom PyOpenShowVar/KUKAVARPROXY control middleware, enabling soft real-time command transmission to a KUKA KR 16-2. The framework achieved 97.3% accuracy for discrete gesture commands and used a Direct Landmark Differencing approach to provide intuitive, simultaneous control over 3D joint-space movement. While exhibiting 200ms soft real-time overhead, the performance is highly suitable for path teaching and signif-icantly lowers the technical barrier for human-robot collaboration and flexible manufacturing. 2025-12-29T00:00:00+00:00 Copyright (c) 2025 MECHANICAL ENGINEERING – SCIENTIFIC JOURNAL https://mesj.ukim.edu.mk/journals/article/view/151 699.FAILURE MODE AND EFFECT ANALYSIS-BASED RISK ASSESSMENT OF A BRIDGE CRANE MAIN GIRDER 2025-12-28T16:51:07+00:00 Vasileva Anita anita.vasileva@mf.edu.mk Kristina Jakimovska anita.vasileva@mf.edu.mk This paper presents an integrated approach for evaluating the condition and failure risks of the main girder in a bridge crane. The study uses numerical simulations performed in Ansys. The critical stress zones for various trolley positions and dynamically amplified loads are identified using numerical analyses. In the following phase, the results from the numerical analysis are used as input for the Failure Mode and Effect Analysis - FMEA method. Based on the generated FMEA, the data are further utilized to develop a MATLAB algorithm that integrates the FMEA parameters and provides an assessment of the structural condition and failure risks. The suggested method-ology enables an improved approach to crane inspection and maintenance planning. 2025-12-29T00:00:00+00:00 Copyright (c) 2025 MECHANICAL ENGINEERING – SCIENTIFIC JOURNAL https://mesj.ukim.edu.mk/journals/article/view/152 Under Cover 2025-12-28T16:51:08+00:00 Jovanovski Bogdan bogdan.jovanovski@mf.edu.mk Under Cover 2025-12-29T00:00:00+00:00 Copyright (c) https://mesj.ukim.edu.mk/journals/article/view/153 Impresum 2025-12-28T16:51:09+00:00 Jovanovski Bogdan bogdan.jovanovski@mf.edu.mk Impresum 2025-12-29T00:00:00+00:00 Copyright (c) https://mesj.ukim.edu.mk/journals/article/view/154 Table of Contents 2025-12-28T16:51:10+00:00 Jovanovski Bogdan bogdan.jovanovski@mf.edu.mk Table of Contents 2025-12-29T00:00:00+00:00 Copyright (c) https://mesj.ukim.edu.mk/journals/article/view/155 INSTRUCTIONS FOR AUTHORS 2025-12-28T16:51:11+00:00 Jovanovski Bogdan bogdan.jovanovski@mf.edu.mk INSTRUCTIONS FOR AUTHORS 2025-12-29T00:00:00+00:00 Copyright (c)