Journal Description
Engineering Proceedings
Engineering Proceedings
is an open access journal dedicated to publishing findings resulting from conferences, workshops, and similar events, in all areas of engineering. The conference organizers and proceedings editors are responsible for managing the peer-review process and selecting papers for conference proceedings.
Latest Articles
Indicators of Microbial Corrosion of Steel Induced by Sulfate-Reducing Bacteria Under the Influence of a Supernatant from Bacterial Cultures of Heterotrophic Bacteria with Biocontrol Properties
Eng. Proc. 2025, 87(1), 87; https://doi.org/10.3390/engproc2025087087 - 2 Jul 2025
Abstract
Microorganisms take an active part in the processes of microbiologically influenced corrosion, which is protected against by using bactericides—often toxic compounds—with inhibitory properties. There are many studies of eco-friendly “green” biocides/inhibitors, in particular those based on microbial metabolites. Indicators for the processes of
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Microorganisms take an active part in the processes of microbiologically influenced corrosion, which is protected against by using bactericides—often toxic compounds—with inhibitory properties. There are many studies of eco-friendly “green” biocides/inhibitors, in particular those based on microbial metabolites. Indicators for the processes of microbial corrosion of steel 3 induced by the sulfate-reducing bacteria Desulfovibrio oryzae NUChC SRB2 under the influence of the strains Bacillus velezensis NUChC C2b and Streptomyces gardneri ChNPU F3 have not been investigated, which was the aim of this study. The agar well diffusion method (to determine the antibacterial properties of the supernatants) was used, along with the crystal violet (to determine the biomass of the biofilm on the steel) and gravimetric methods (to determine the corrosion rate). A moderate adhesiveness to steel 3 was established for D. oryzae due to its biofilm-forming ability. The presence of a supernatant on cultures of S. gardneri, B. velezensis and their mixture (2:1) did not reduce the biofilm-forming properties of D. oryzae. Compared to the control, a decrease in the corrosion rate was recorded for the variant of the mixture of the studied bacterial culture supernatants. This indicates the potential of this mixture for use in corrosion protection in environments with sulfate-reducing bacteria, which requires further research.
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(This article belongs to the Proceedings of The 5th International Electronic Conference on Applied Sciences)
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Open AccessProceeding Paper
Improving Predictive Maintenance Performance Using Machine Learning and Vibration Analysis Algorithms
by
Ibtissam Elharnaf, Khadija Achtaich and Samir Tetouani
Eng. Proc. 2025, 97(1), 45; https://doi.org/10.3390/engproc2025097045 (registering DOI) - 2 Jul 2025
Abstract
This research examines advanced machine learning techniques utilized for the predictive maintenance of industrial machinery. A hybrid model combining long-term memory networks (LSTM) and gated recurrent unit (GRU) networks alongside a random forest classifier has been created utilizing vibration data collected from sensors
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This research examines advanced machine learning techniques utilized for the predictive maintenance of industrial machinery. A hybrid model combining long-term memory networks (LSTM) and gated recurrent unit (GRU) networks alongside a random forest classifier has been created utilizing vibration data collected from sensors for fault classification purposes. The method includes feature extraction, time series analysis, and classification, utilizing the benefits of these models to efficiently manage sequential data. The results show significant improvements in forecasting accuracy, reduced downtime, and better-aligned maintenance schedules. These advancements demonstrate the capabilitie of integrating AI-driven solutions into industrial systems, consistent with Industry 4.0 principles, to improve operational capabilities.
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(This article belongs to the Proceedings of The 1st International Conference on Smart Management in Industrial and Logistics Engineering (SMILE 2025))
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Open AccessProceeding Paper
Dynamic Program Analysis and Visualized Learning System in University Programming Courses
by
Pei-Wen Lin, Shu-Han Yu and Chien-Hung Lai
Eng. Proc. 2025, 98(1), 30; https://doi.org/10.3390/engproc2025098030 - 2 Jul 2025
Abstract
To correspond to the advancement of technology, programming has become an indispensable course in university curricula. However, students easily become confused by the rules governing program execution or by complex logical structures. Mastering program structure and logic often is a significant challenge for
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To correspond to the advancement of technology, programming has become an indispensable course in university curricula. However, students easily become confused by the rules governing program execution or by complex logical structures. Mastering program structure and logic often is a significant challenge for beginners, especially. Despite the availability of information on programming on various websites and tools, including generative artificial intelligence (AI), there is still a gap between conceptual understanding and practical application for beginners. They overlook important implementation details or struggle to grasp the flow of a program, making the mastery of program logic a persistent challenge. To address these issues, we have developed a system that dynamically generates process architecture diagrams. Users upload their code, and the system produces corresponding diagrams that decompose and execute the code line by line. Its visual representation allows users to observe the program’s execution and aids them in comprehending the sequence and operational flow of the code. By understanding the structure and logic of the program intuitively, this system supplements traditional teaching methods and AI-assisted question-and-answer tools. The experimental results demonstrated that students found the system helpful to track their learning progress (87%) and improved their understanding of program code (81%). Additionally, 84% of students reported that the system was easy to use, highlighting its user-friendliness. In terms of student interest, 83% of students agreed that the interactive elements made learning more engaging, indicating that the system positively contributed to dynamic and enjoyable learning. However, 63% of students reported an improvement in coding and were influenced by the complexity of the programming tasks assigned. Despite this, the overall satisfaction with the system developed in this study was high.
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(This article belongs to the Proceedings of 2024 4th International Conference on Social Sciences and Intelligence Management (SSIM 2024))
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Open AccessProceeding Paper
Application of Generative Artificial Intelligence in Design Education: An Exploration and Analysis to Enhance Student Creativity
by
Chi-Wei Lee
Eng. Proc. 2025, 98(1), 29; https://doi.org/10.3390/engproc2025098029 - 2 Jul 2025
Abstract
Generative Artificial Intelligence (GenAI) is transforming design, but its integration into education presents challenges. This study investigates GenAI’s application in visual design courses to enhance student creativity. Through hands-on projects using text/image generation tools for design competitions and a questionnaire survey (N =
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Generative Artificial Intelligence (GenAI) is transforming design, but its integration into education presents challenges. This study investigates GenAI’s application in visual design courses to enhance student creativity. Through hands-on projects using text/image generation tools for design competitions and a questionnaire survey (N = 102) assessing creativity factors (sensitivity, fluency, flexibility, originality, elaboration), GenAI’s impact was evaluated. Findings show GenAI significantly enhanced textual creativity (fluency, flexibility). Its effect on visual originality was perceived as less impactful, though project outcomes were successful. GenAI boosts efficiency and creativity, but pedagogy must balance AI aid with fostering critical thinking and unique expression.
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(This article belongs to the Proceedings of 2024 4th International Conference on Social Sciences and Intelligence Management (SSIM 2024))
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Open AccessProceeding Paper
Effect of Temperature and Chromium Content on Tensile and Fracture Mechanics Properties of Cr-Mo Steel Welded Joints
by
Nikola Kostić, Milivoje Jovanović, Ivica Čamagić, Živče Šarkoćević, Zijah Burzić and Aleksandar Sedmak
Eng. Proc. 2025, 99(1), 21; https://doi.org/10.3390/engproc2025099021 (registering DOI) - 2 Jul 2025
Abstract
Temperature and Cr content on the tensile and fracture mechanics properties of welded joints made of two Cr-Mo steels (A387 Gr. B and SA387 Gr. 91) are presented and analyzed. Tensile strength, yield stress and elongation, as well as the stress–strain curves are
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Temperature and Cr content on the tensile and fracture mechanics properties of welded joints made of two Cr-Mo steels (A387 Gr. B and SA387 Gr. 91) are presented and analyzed. Tensile strength, yield stress and elongation, as well as the stress–strain curves are obtained by standard tensile tests using specimens extracted from welded joints. Fracture toughness testing was carried out to determine the critical stress intensity factor, KIc, and the critical crack length, ac, for all three zones of the welded joint, parent metal (PM), heat-affected zone (HAZ) and weld metal (WM). Based on these results, the tensile and fracture mechanics properties of welded joints made of A387 Gr. B and SA387 Gr. 91 steels are compared and analyzed.
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(This article belongs to the Proceedings of The IX International Congress “Engineering, Environment and Materials in Process Industry”—EEM2025)
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Open AccessProceeding Paper
Implementation of Bidirectional Converter with Asymmetrical Half-Bridge Converter Based on an SRM Drive Using PV for Electric Vehicles
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Ramabadran Ramaprabha, Ethirajan Anjana, Sureshkumar Hariprasath, Sulaimon Mohammed Ashik, Medarametala Venkata Sai Kiran and Tikarey Yoganand Navinsai Kaarthik
Eng. Proc. 2025, 93(1), 15; https://doi.org/10.3390/engproc2025093015 - 2 Jul 2025
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Due to the high demand for fuel efficiency, electric vehicles have come into the picture, as they only use batteries to power the vehicle. This requires constant charging of the batteries at charging stations, which are costly and impractical to install. But it
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Due to the high demand for fuel efficiency, electric vehicles have come into the picture, as they only use batteries to power the vehicle. This requires constant charging of the batteries at charging stations, which are costly and impractical to install. But it is possible to install charging stations by making use of photovoltaic (PV) cells and demagnetization currents to self-charge batteries under stand-still conditions. The design of a bidirectional converter with asymmetrical half-bridge converter based on a switched reluctance motor (SRM) drive, using PV for electric vehicles, is implemented in this paper. It consists of developing a control unit (GCU), Li-ion battery pack, and photovoltaic (PV) solar cells that are integrated with a bidirectional converter and asymmetrical half-bridge converter (AHBC) to provide power to the SRM drive. The solar-assisted SRM drive can be operated in either the motoring mode or charging mode. In the motoring-mode GCU, the battery or PV energy can be used in any combination to power the SRM. In the charging-mode PV, the GCU and AC grids are used to charge the battery under stand-still conditions. This work helps in the self-charging of batteries using either the GCU or PV cells, as well as aids in the improvement in the performance characteristics. Also, this work compares the performance metrics for the proposed system and conventional system. The performance of the drive system using PV cells/GCU is evaluated and verified through MatLab/Simulink and experimental results.
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Open AccessProceeding Paper
Comparative Analysis of PMSMs and SRMs for Drone Applications
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Sarangapani Theperumal Vigneshwar, Mahadevan Balaji and Sundaramoorthy Prabhu
Eng. Proc. 2025, 93(1), 14; https://doi.org/10.3390/engproc2025093014 - 2 Jul 2025
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This research paper presents a comprehensive comparison between Permanent Magnet Synchronous Motors (PMSMs) and Switched Reluctance Motors (SRMs) in the context of drone applications. The study focuses on motors designed for an output power of 500 watts, with a torque of 0.8 Nm.
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This research paper presents a comprehensive comparison between Permanent Magnet Synchronous Motors (PMSMs) and Switched Reluctance Motors (SRMs) in the context of drone applications. The study focuses on motors designed for an output power of 500 watts, with a torque of 0.8 Nm. Simulation results demonstrate that both motor types achieve the specified power rating, exhibiting a torque output of 0.8 Nm. In this comparative analysis, key performance parameters, efficiency, and operational characteristics of PMSM and SRM are systematically evaluated. The study addresses the unique features and challenges associated with each motor type, providing valuable insights for optimizing drone propulsion systems. Additionally, the influence of these motor choices on drone efficiency, weight, and overall performance is discussed. The research contributes to the understanding of motor selection in drone design, offering practical guidance for engineers and researchers involved in unmanned aerial vehicle development. As drone applications continue to diversify, this comparative study aids in making informed decisions regarding motor technologies, balancing power requirements, and maximizing operational efficiency.
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Open AccessProceeding Paper
Optimization of Grid-Connected Hybrid Microgrid System with EV Charging Using Pelican Optimization Algorithm
by
Anirban Maity, Sajjan Kumar and Pulok Pattanayak
Eng. Proc. 2025, 93(1), 13; https://doi.org/10.3390/engproc2025093013 - 2 Jul 2025
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This research focuses on optimizing a grid-connected hybrid microgrid system (HMGS) for The Neotia University (TNU), West Bengal, India, utilizing renewable energy sources to improve sustainability and energy efficiency. The system integrates solar panels, wind turbines, and an existing diesel generator (DG) to
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This research focuses on optimizing a grid-connected hybrid microgrid system (HMGS) for The Neotia University (TNU), West Bengal, India, utilizing renewable energy sources to improve sustainability and energy efficiency. The system integrates solar panels, wind turbines, and an existing diesel generator (DG) to meet campus energy demands, including electric vehicle (EV) charging facilities for residents and staff. The pelican optimization algorithm (POA) is employed to determine the optimal capacity of PV and wind turbine units for reducing energy costs, enhancing reliability, and minimizing carbon emissions. The results reveal a substantial decrease in the cost of energy (COE) from INR 11.74/kWh to INR 5.20/kWh.
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Open AccessProceeding Paper
Effect of FSW Parameters on Microstructure and Mechanical Properties of Dissimilar Aluminum Joints
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Jayakumar Krishnamoorthy, Saran Kumar Murugesan, Sanjuvigasini Nagappan and Sanjay Prakash Prithiviraj
Eng. Proc. 2025, 93(1), 12; https://doi.org/10.3390/engproc2025093012 - 2 Jul 2025
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Friction stir welding (FSW) is a novel welding technique that produces a solid-state weld by generating frictional heat and plastic deformation at the weld spot with a revolving, non-consumable welding tool. Despite processing a wide range of industrial materials, FSW has concentrated on
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Friction stir welding (FSW) is a novel welding technique that produces a solid-state weld by generating frictional heat and plastic deformation at the weld spot with a revolving, non-consumable welding tool. Despite processing a wide range of industrial materials, FSW has concentrated on welding aluminum and its alloys because of its high strength-to-weight ratio and uses in the shipbuilding, aerospace, and other fabrication industries. Important FSW process factors that determine the mechanical qualities of the weldment are the tool tilt angle, tool traverse feed, tool pin profile, tool rotational speed (TRS), tool traverse speed (TTS), tool pin profile (TPP), and shoulder plunge depth. Variations in the required process parameters cause defects, which lower the weld quality of FSWed aluminum alloys (AA). Therefore, keeping an eye on and managing the FSW process is crucial to preserving the caliber of the weld joints. The current study aims to investigate the changes in the mechanical characteristics and microstructure of the FSWed AA5052-H111 and AA6061-T6 joints. To perform the FSW experiments, we varied TRS, TTS, and TPP on plates that were 5 mm thick and had a butt joint structure. Following welding, the microstructure of the weld zones was examined to observe how the grains had changed. The joint’s tensile strength reached a maximum of 227 MPa for the square-shaped TPP, and the micro-Vickers hardness test results showed a maximum of 102 HV at the weld nugget zone (WNZ).
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Open AccessProceeding Paper
Approaches to Creating Colorful 3D-Printed Parts and Reliefs
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Mihail Zagorski, Radoslav Miltchev, Boyan Dochev and Nikolay Stoimenov
Eng. Proc. 2025, 100(1), 9; https://doi.org/10.3390/engproc2025100009 (registering DOI) - 2 Jul 2025
Abstract
The present article aims to examine different approaches and technologies for producing multi-color 3D printed parts and reliefs using FDM/FFF printing technology. Several examples of parts used in the fields of technology, architecture, marketing and art are presented. The innovative HueForge software version
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The present article aims to examine different approaches and technologies for producing multi-color 3D printed parts and reliefs using FDM/FFF printing technology. Several examples of parts used in the fields of technology, architecture, marketing and art are presented. The innovative HueForge software version 0.8.1 is used to create a multi-color relief. The process of establishing the Transmission Distance parameter of a given filament, which is key to creating colored reliefs with HueForge, is also examined.
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(This article belongs to the Proceedings of The 14th International Scientific Conference TechSys 2025—Engineering, Technologies and Systems)
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Open AccessProceeding Paper
Motion Capture System in Performance Assessment of Playing Piano: Establishing the Center for Music Performance Science and Musicians’ Medicine in China
by
Qing Yang, Chieko Mibu and Yuchi Zhang
Eng. Proc. 2025, 98(1), 28; https://doi.org/10.3390/engproc2025098028 - 1 Jul 2025
Abstract
This article introduces China’s first Center for Music Performance Science and Musicians’ Medicine. In the center, motion capture (MoCap) technology is used to study piano performance and musicians’ health. An idea and methodology to assess the performance of piano performance are developed in
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This article introduces China’s first Center for Music Performance Science and Musicians’ Medicine. In the center, motion capture (MoCap) technology is used to study piano performance and musicians’ health. An idea and methodology to assess the performance of piano performance are developed in the center. The center uses high-precision MoCap system to analyze movement efficiency, posture, joint angles, and coordination of pianists. By addressing physical challenges, the center promotes healthier, more efficient practice ways, especially for adolescent piano learners. The pioneering research results bridge the gap between music performance (art) and science, positioning China as a leader in music performance science and musicians’ health.
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(This article belongs to the Proceedings of 2024 4th International Conference on Social Sciences and Intelligence Management (SSIM 2024))
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Open AccessProceeding Paper
The Mechanical Properties of Brass Alloys: A Review
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S. Jasper, R. Subash, K. Muthuneelakandan, D. Vijayakumar and S. Jhansi Ida
Eng. Proc. 2025, 93(1), 11; https://doi.org/10.3390/engproc2025093011 - 1 Jul 2025
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Brass is a proportionate copper and zinc alloy that may be mixed to achieve a variety of mechanical, electrical, and chemical characteristics. Compared to bronze, it is more pliable. Brass has a comparatively low melting point (900–940 °C; 1650–1720 °F), depending on its
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Brass is a proportionate copper and zinc alloy that may be mixed to achieve a variety of mechanical, electrical, and chemical characteristics. Compared to bronze, it is more pliable. Brass has a comparatively low melting point (900–940 °C; 1650–1720 °F), depending on its composition. This review explores the most recent advancements in brass alloy technology, including the addition of silicon, tin, and aluminium to improve its strength, machinability, and resistance to corrosion. Furthermore, the development of lead-free, recyclable, and low-carbon brass alloys has been fuelled by the growing demand for environmentally friendly materials. With a renewed emphasis on antibacterial qualities and wear-resistant formulations, brass alloys are also seeing increasing use in sectors like electronics, architecture, and healthcare. Additionally, new opportunities for producing custom-designed brass components have been made possible by the development of additive manufacturing. This paper provides an overview of the current and future potential of brass alloys, highlighting their originality in addressing the changing demands of modern industry and technology.
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Open AccessProceeding Paper
Sensitivity Analysis of an Edge-Fed Microstrip Patch Antenna Strain Sensor to Detect Surface Strains
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A. P. Praveen, Jeetu S. Babu, Sreedevi K. Menon and M. P. Hariprasad
Eng. Proc. 2025, 93(1), 8; https://doi.org/10.3390/engproc2025093008 - 1 Jul 2025
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Damage detection through strain sensing is inevitable in structural health monitoring (SHM) for implementing preventive measures against the failure of a mechanical component or a civil structure. Strain sensors based on patch antennas are gaining importance due to their simple geometry and ease
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Damage detection through strain sensing is inevitable in structural health monitoring (SHM) for implementing preventive measures against the failure of a mechanical component or a civil structure. Strain sensors based on patch antennas are gaining importance due to their simple geometry and ease of fabrication. This work presents the effect of longitudinal and transverse deformation on the patch antenna strain sensor characteristics. Structural and electromagnetic simulations are performed for various loads using a commercial FEM package. The variation in the reflection coefficient with resonant frequency is analyzed for different strain levels up to the elastic limit of the sensor. It is observed that the edge-fed patch antenna can be used in cases of higher strain levels. However, the patch antenna sensor is less sensitive at lower strain levels. The patch antenna sensor effectively decouples the directional strains, making it effective for bidirectional strain sensing using a single element.
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Open AccessProceeding Paper
Investigation of the Efficiency of a Peltier Element
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Atanas Radulov, Mario Dechev and Misho Matsankov
Eng. Proc. 2025, 100(1), 8; https://doi.org/10.3390/engproc2025100008 - 1 Jul 2025
Abstract
This paper presents the implementation of a modern approach for automatic measurement, data acquisition, and processing using custom-developed software based on the ARDUINO version: 2.3.6 platform. State-of-the-art sensing elements are employed for enhanced precision and reliability. The obtained results are graphically visualized for
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This paper presents the implementation of a modern approach for automatic measurement, data acquisition, and processing using custom-developed software based on the ARDUINO version: 2.3.6 platform. State-of-the-art sensing elements are employed for enhanced precision and reliability. The obtained results are graphically visualized for comprehensive analysis. The ARDUINO microcontroller and its associated open-source programming environment are primarily designed for general-purpose users rather than specialized industrial applications. The study focuses on the experimental investigation of the characteristics of a Peltier element. The interdependence between current, voltage, internal resistance, and temperature differential is examined in detail. The findings concerning efficiency analysis are intended to support students across various engineering disciplines during their educational process.
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(This article belongs to the Proceedings of The 14th International Scientific Conference TechSys 2025—Engineering, Technologies and Systems)
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Open AccessProceeding Paper
Non-Linear Creep of Spherical Container with Fluid Under Increasing Pressure
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Victor Rizov
Eng. Proc. 2025, 100(1), 7; https://doi.org/10.3390/engproc2025100007 - 1 Jul 2025
Abstract
This paper presents an analysis of the time-dependent response of a spherical container to internal pressure that increases over time. The wall of the container is relatively thin, in the sense that the wall thickness is negligible in comparison to the container’s radius.
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This paper presents an analysis of the time-dependent response of a spherical container to internal pressure that increases over time. The wall of the container is relatively thin, in the sense that the wall thickness is negligible in comparison to the container’s radius. The wall is composed of three layers. The two surface layers of the wall are identical, i.e., they are made from the same material and have the same thickness. One of the most important features regarding the response of the wall layers is the non-linear creep. The stresses and strains are determined, and their relationships with the parameters of the layers are studied.
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(This article belongs to the Proceedings of The 14th International Scientific Conference TechSys 2025—Engineering, Technologies and Systems)
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Open AccessProceeding Paper
Tariff Responses: A Graph-Theoretic Approach with Industry Dependencies
by
George Pashev and Silvia Gaftandzhieva
Eng. Proc. 2025, 100(1), 6; https://doi.org/10.3390/engproc2025100006 - 1 Jul 2025
Abstract
In response to the growing prevalence of tariffs as instruments of economic policy and strategic competition, this paper introduces a formal mathematical framework for optimizing counter-tariff strategies. We model the global trade ecosystem as a multi-layered, directed, weighted hypergraph, where vertices represent countries,
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In response to the growing prevalence of tariffs as instruments of economic policy and strategic competition, this paper introduces a formal mathematical framework for optimizing counter-tariff strategies. We model the global trade ecosystem as a multi-layered, directed, weighted hypergraph, where vertices represent countries, industries, and subindustries, and hyperedges capture complex trade relationships and supply chain dependencies. The proposed framework employs bilevel optimization techniques to maximize strategic impact on target economies while minimizing self-inflicted economic costs. Through integration of graph theory, spectral analysis, and multilevel optimization methods, we develop a rigorous formalism that enables policymakers to identify optimal counter-tariff portfolios under various constraints. Our model explicitly accounts for industrial interdependencies, where export competitiveness depends on imported inputs, thus providing a more realistic representation of global value chains. Case studies applying our model to historical trade disputes demonstrate its capacity to generate superior strategic outcomes compared to conventional approaches. The framework’s axiomatic foundation allows for rapid recalibration in response to shifting economic conditions and policy objectives.
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(This article belongs to the Proceedings of The 14th International Scientific Conference TechSys 2025—Engineering, Technologies and Systems)
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Open AccessProceeding Paper
Investigation of an Open Loop Resonator for Crack Detection
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Adithya Krishna Menon, C. B. Abhinav, Sreedevi K. Menon and M. P. Hariprasad
Eng. Proc. 2025, 93(1), 6; https://doi.org/10.3390/engproc2025093006 - 1 Jul 2025
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Structural Health Monitoring (SHM) of composite systems is challenging due to multiple factors unique to composites. Early detection of any defects in composites is essential to ensure structural integrity and prevent catastrophic failure. In this work, a square Open Loop Resonator (OLR) sensor
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Structural Health Monitoring (SHM) of composite systems is challenging due to multiple factors unique to composites. Early detection of any defects in composites is essential to ensure structural integrity and prevent catastrophic failure. In this work, a square Open Loop Resonator (OLR) sensor is proposed for the evaluation of cracks in composite structures. Radio frequency characteristics of the newly designed sensors are analyzed, and their efficiency is studied with respect to various crack sizes and orientations. For the present study, early detection of the crack is focused, and cracking is considered to have occurred in the ground plane of the sensor. A band-pass resonator centered at 2.5 GHz is selected for the study. Structural and HFSS simulations are carried out using commercially available software packages. The proposed sensor is found to be effective in early detection of the cracks and is a viable choice for structural health monitoring applications.
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Open AccessProceeding Paper
Design and Simulation of Ripple Free Non-Inverting DC-DC Cuk Converter with Valley-Fill Circuit for LED Applications
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Lakshmi Praba Balakrishnan, Abhinaya Ravichandran, Seyezhai Ramalingam, Deeikshanyaa Sivasubramaniam and Harini Vasudevan Balamurugan
Eng. Proc. 2025, 93(1), 5; https://doi.org/10.3390/engproc2025093005 - 1 Jul 2025
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LED lighting plays a pivotal role in the illumination landscape owing to its substantial energy efficiency, prolonged operational lifespan, environmental advantages, superior light quality, and its capacity for advanced lighting control. Flicker in led lighting systems has emerged as a substantial concern and
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LED lighting plays a pivotal role in the illumination landscape owing to its substantial energy efficiency, prolonged operational lifespan, environmental advantages, superior light quality, and its capacity for advanced lighting control. Flicker in led lighting systems has emerged as a substantial concern and is appropriate to its potential opposing impacts on human health and visual comfort. Hence, this paper presents a comprehensive analysis, design, and mitigation strategy for flicker in a DC-DC led driver that incorporates a valley fill circuit. The initial stage of this investigation involves an analysis of a conventional cuk converter. However, it is noted that this converter produces an inverting output and experiences high current stress on the semiconductor switch. Consequently, to address these limitations, a non-inverting cuk converter (NICC) is introduced, resulting in a positive output, reduced voltage and current ripple and increased efficiency. To surmount these challenges, the implementation of a valley fill circuit is proposed. This addition facilitates the rapid attainment of a steady state, increases efficiency, and substantially reduces the output voltage and current ripple. An in-depth analysis of the stress imposed on the switch is conducted, leading to the development of a circuit designed to extend the operational life of the LED driver. Therefore, this paper compares the topologies of three different DC-DC cuk power converters. These converters include conventional cuk, non-inverting cuk (NICC), and non-inverting cuk with valley-fill. The performance metrics are examined and compared for all three topologies. The findings of this study affirm that the proposed driver circuit is highly effective in mitigating flicker, thereby enhancing the user experience and elevating the quality of led lighting, all while maintaining energy efficiency. The MATLAB simulations of these converters are performed to validate the theoretical results.
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Open AccessProceeding Paper
Reliability of Electro-Power Equipment Determined by Data in Its Operation and Storage
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Nikolay Gueorguiev, Atanas Nachev, Yavor Boychev, Konstantin Nesterov and Svetlana Yaneva
Eng. Proc. 2025, 100(1), 5; https://doi.org/10.3390/engproc2025100005 - 1 Jul 2025
Abstract
The reliability of the electro-power equipment of electrical power transmission systems is essential in ensuring an uninterrupted power supply with the necessary voltage and frequency stability. This is especially important when performing lengthy procedures requiring the serviceability of the electrical equipment used, such
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The reliability of the electro-power equipment of electrical power transmission systems is essential in ensuring an uninterrupted power supply with the necessary voltage and frequency stability. This is especially important when performing lengthy procedures requiring the serviceability of the electrical equipment used, such as those related to foundries and metallurgical processes, or with the processes of testing complex means for the remote control of electromagnetic radiation within the implementation of the Sustainable development of the Competence Center “Quantum Communication, Intelligent Security Systems and Risk Management” (QUASAR) Project, funded with the participation of the EU under the “Research, Innovation and Digitalization for Smart Transformation” Program 2021.2027 according to procedure BG16RFPR002-1.014. One of the main issues in this case is related to the availability of information regarding the technical condition of the deployed or reserve energy resources. In this connection, this study proposes methods for determining the quantity of operational equipment that is either in use or in storage, based on the reliability testing of a representative sample of it.
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(This article belongs to the Proceedings of The 14th International Scientific Conference TechSys 2025—Engineering, Technologies and Systems)
Open AccessProceeding Paper
Enhanced Supplier Clustering Using an Improved Arithmetic Optimizer Algorithm
by
Asmaa Akiki, Kaoutar Douaioui, Achraf Touil, Mustapha Ahlaqqach and Mhammed El Bakkali
Eng. Proc. 2025, 97(1), 44; https://doi.org/10.3390/engproc2025097044 - 30 Jun 2025
Abstract
This paper presents a novel approach to supplier clustering by utilizing the Arithmetic Optimizer Algorithm (AOA), addressing the complex challenge of supplier segmentation in modern supply chain management. The AOA framework is applied to solve the multi-criteria clustering problem inherent to supplier classification.
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This paper presents a novel approach to supplier clustering by utilizing the Arithmetic Optimizer Algorithm (AOA), addressing the complex challenge of supplier segmentation in modern supply chain management. The AOA framework is applied to solve the multi-criteria clustering problem inherent to supplier classification. Using a real-world dataset of 500 suppliers with 12 performance criteria, including cost, quality, delivery reliability, and sustainability metrics, our method demonstrates effective clustering performance compared to conventional techniques. The AOA achieves a silhouette coefficient of 56.5% and a Davies–Bouldin index of 56.6%, outperforming several other state-of-the-art metaheuristic algorithms, including the Grey Wolf Optimizer (GWO), Whale Optimization Algorithm (WOA), Salp Swarm Algorithm (SSA), and Harris Hawks Optimization (HHO). The algorithm’s robustness is validated through extensive sensitivity analysis and statistical tests. The results indicate that the proposed approach successfully identifies distinct supplier segments with approximately 85% accuracy, enabling more effective supplier relationship management strategies.
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(This article belongs to the Proceedings of The 1st International Conference on Smart Management in Industrial and Logistics Engineering (SMILE 2025))
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