Theses (Department of Mechanical Engineering)
Állandó link (URI) ehhez a gyűjteményhez
Theses collection of the Department of Mechanical Engineering. The collection was started in 2023.
At the University of Debrecen, in accordance with the 2022 amendment to the 2011 Higher Education Act, student theses are only accessible from devices connected to the University's Eduroam WiFi network or from a university IP address.
“The thesis or diploma work of a student who has successfully passed the final examination shall be stored in full in the academic system of the higher education institution, and a record shall be maintained thereof. The stored theses and diploma works – with the exception of parts classified as confidential in accordance with the relevant legislation – must be made accessible and searchable without restriction through the academic system.” Further info on the National Higher Education Act in Hungarian: Felsőokt. tv. (új) - 2011. évi CCIV. törvény a nemzeti felsőoktatásról - Hatályos Jogszabályok Gyűjteménye.
Böngészés
legfrissebb feltöltések
Megjelenítve 1 - 20 (Összesen 140)
Tétel Szabadon hozzáférhető Structural Analysis and Geometric Optimization of a Weight-Stack Lat Pulldown MachineSwilla, Gabriel Leonard; Bodzás, Sándor; DE--Műszaki KarThe lat pulldown machine is a widely used resistance training device desingned to strenghten upper-body back muscles, particulary the latissumus dorsi, trapezius, rhomboids, and biceps brachii. Despite its widespread use in both gym and rehabilititation settings, most existing designs are developed empiriically, without rigorous consideration of structural stress distribution, material efficiency, or geometric optimization, This has led to machines that are often overweight structurally over-desingned, and potentially susceptible to machenical failure under repetitive loading conditions. The tehis presents a comprehensive strructural analysis and geometric optimization of a weight-stack lat pulldown machine using ANSYS Workbench finite element analysis (FEA) software and SolidWorks for 3D modelling and mass property evaluation.Tétel Szabadon hozzáférhető 3D printed 3D printerGillani, Syed Musa Hassan; Balogh, Gabor; DE--Műszaki KarThe target of the thesis was to design, model and create a FDM 3D printer using sustainable and 3D printed materials and methods, as we wanted to reduce emissions and overall limitations on the design. Using several methods, parts, including motor mounts and corner mounts, were designed. These parts were connected to the aluminum T-slot extrusion bars. These extrusion bars were used to create a frame. Then PLA was used as a material, and the mounts for motors and bearings were created. The mechanical system was created as the mounts were connected to the parts, such as a smooth rod, which was passed to allow the gantry to move. Several designs were used for each part, after which the parts were finalised, the gantry was made, and the core X-Y system was made for the 3D printer. Using Anycubic kobra 2 pro and Creality K1 max parts, an extruder was created and mounted to the core XY system. The base motors were connected in total of 3 motors were connected to the base. We connected the base motors, the coupling was added to them, and threaded rods were added. The threaded rods were fitted with non-backlash nuts, and printed mounts were fitted into the machine, allowing for the connection with a heated PEI textured bed. After which, the motherboard was connected to the power supply, and the connections were made with the sensors and the extruders. Claude AI was used to aid in firmware coding, and the firmware was coded and designed. After a few tests, we could confirm a working 3D printer using 3D printed parts. This machine has the speciality of having modular parts that allow it to use the same parts with minor changes to make larger and smaller machines. There were some design logics, like one-hand assembly design, also used in the process. Each design was made, then 3D printed, after which it was tested and then rebuilt. The designs of the parts were optimised for multiple uses, if possible, and the extrusions and complications that were being faced while making them were discussed. The thesis talks about the creation of the machine in detail and shows you the step-by-step process that was used to make it.Tétel Szabadon hozzáférhető Integrated FEA of a Generative Designed Prosthetic Hip Stem for Advanced ManufacturingAlkhateib, Khaleel Abdullah Omar; Bodzás , Sándor; Nemes, Dániel; DE--Műszaki KarThis thesis, authored by Khaleel Abdullah Omar Alkhateib at the University of Debrecen (2026), investigates the integration of generative design (topology optimization) and Finite Element Analysis (FEA) to develop a structurally sound, mass-customizable prosthetic hip stem for additive manufacturing. The primary biomechanical challenge addressed is stress shielding; a phenomenon where overly stiff metallic implants absorb mechanical load from surrounding bone, causing bone resorption and implant loosening over time. Using in-vivo telemetry data from the OrthoLoad database, the study derived realistic physiological loads for three patient profiles and applied them across both static and dynamic FEA simulations. The generative internal channel network not only reduces stem stiffness to better match natural bone but also promotes bone ingrowth (osseointegration), which is a physiological advantage over conventional solid stems. Finally, a comparative manufacturing feasibility assessment concluded that Direct Metal Laser Sintering (DMLS) via the EOS M290 is the superior production method, as 5-axis CNC machining is physically incapable of reproducing the complex internal geometries required by the generative design.Tétel Szabadon hozzáférhető Implementation of a Basic Predictive Maintenance Strategy to Reduce Downtime in Mechanical Equipment Using Statistical AnalysisJaballah, Aziz; Deák , Krisztián; Thabet, Amir; DE--Műszaki KarThis thesis develops a basic predictive maintenance strategy for rotating mechanical equipment using simple statistical analysis of vibration data. It uses the PU‑MAFAULDA imbalance dataset to extract interpretable time‑domain features, mainly RMS, standard deviation, and trend measures, and shows how these can indicate abnormal machine behavior and gradual degradation. A validation study on simulated data compares static thresholds, adaptive thresholds, and trend‑based indicators, demonstrating that combining thresholds with trend detection provides earlier and more reliable fault warnings than fixed limits alone. Building on these results, the work proposes a maintenance scheduling framework that classifies machine condition into three health states normal, warning, and critical and assigns clear maintenance actions and response times to each state. The method is designed to be transparent, low‑cost, and suitable for small and medium‑sized companies that lack large historical datasets or advanced machine‑learning infrastructure. Overall, the thesis provides a practical path for moving from purely preventive maintenance towards a simple but effective predictive maintenance approach.Tétel Szabadon hozzáférhető Finite element and manufacturing analysis of a car body modelHasan, Md Rafid; Bodzás, Sándor; DE--Műszaki KarThis thesis presents an integrated computational investigation of the structural and aerodynamic performance of a conceptual sportscar body panel using Finite Element Method (FEM) and Computational Fluid Dynamics (CFD), supported by a feasibility‑focused Computer‑Aided Manufacturing (CAM) assessment. A high‑fidelity CAD model was selected, prepared and evaluated through a structured mesh independence study using coarse (15 mm), medium (12.5 mm) and fine (5 mm) meshes to ensure numerical stability and solution reliability. Aluminum 6061‑T6/T651 was selected as the car body‑panel material due to its favorable stiffness‑to‑weight ratio, corrosion resistance and suitability for lightweight automotive structures. Overall, the research establishes that the concept car body is structurally viable, aerodynamically efficient and manufacturable using modern metal processing technologies. The integrated FEM-CFD-CAM workflow developed in this study provides a robust foundation for future automotive body panel optimization, enabling accurate evaluation of aerodynamic performance, structural integrity and design refinement in early development stages.Tétel Szabadon hozzáférhető Geometric design of a bicycle chain transmissionLi, Yifei; Bodzás, Sándor; DE--Műszaki KarThe bicycle chain drive system is a core component for power transmission in the bicycle. Traditional designs often suffer from the industry challenge of simultaneously achieving lightweight design, structural reliability, and manufacturing economy. To address this issue, this paper focuses on the bicycle roller chain drive system, conducting a comprehensive study across three core dimensions: geometric design, CAM (Computer-Aided Manufacturing) simulation, and finite element analysis. Based on typical daily riding conditions, this study completed the fully parametric geometric design of the drive system, determined core design parameters, and achieved precise 3D modeling and virtual assembly of all components. Based on a CAM platform, this study developed a CNC machining process for the front and rear sprockets, completed toolpath planning and virtual simulation verification, and simultaneously ensured machining accuracy and mass production economy. Finite element analysis results show that the system strength and stiffness meet design requirements under rated operating conditions, and the sprocket natural frequency is significantly higher than the normal riding operating frequency, effectively mitigating the risk of resonance during operation. This study ultimately establishes a complete design verification system for the chain drive system, providing solid theoretical support and practical reference for the optimization and upgrading of bicycle chain drive systems.Tétel Korlátozottan hozzáférhető Design, Modeling and Trajectory Optimization of a Custom 6-DOF Robotic Arm.Peng, Shaoyang; Sandor, Hajdu; DE--Műszaki KarThis thesis presents a complete design‑to‑simulation framework for a custom six‑degree‑of‑freedom robotic arm, from SolidWorks modeling to MATLAB‑based high‑fidelity analysis using realistic inertial parameters. Three joint‑space trajectory planning algorithms (cubic polynomial, quintic polynomial, and a path‑velocity separated Bézier curve with zero endpoint velocity) are implemented and compared. Kinematic analysis shows that the quintic and Bézier curves provide smooth acceleration, while the cubic polynomial exhibits endpoint acceleration jumps and constant jerk. Inverse dynamics simulations compute joint torques and energy consumption, revealing that the Bézier curve yields slightly lower energy in the main load‑carrying joints (shoulder and elbow), although peak torque differences among the algorithms are minimal. Based on the combined kinematic and dynamic results, trajectory recommendations are made for different applications: quintic polynomial for precision tasks, Bézier curve for obstacle avoidance, and cubic polynomial for simple motions. This work provides a quantitative reference for selecting trajectory planning algorithms in robotic manipulator design.Tétel Szabadon hozzáférhető Manufacturing design and FEM analyisis of elliptical gearsYu, Fengyuan; Bodzás, Sándor; DE--Műszaki KarElliptical gears are key components in non-uniform transmission systems and are widely used in textile machinery, automatic production lines and precision instruments. With the growing demand for high-precision and customized transmission parts, traditional manufacturing methods face limitations in efficiency, cost and structural optimization. This paper focuses on the manufacturing design and finite element analysis of elliptical gears to solve typical technical problems in production. Suitable tools and equipment are selected for CAM analysis, and a complete manufacturing process is designed to ensure machining accuracy and efficiency. Static finite element analysis is carried out to verify the mechanical stability and bearing performance of the gear structure, and a 3D printing scheme is proposed for small-batch customization. This study integrates digital design, simulation and additive manufacturing, providing a practical technical framework for high-performance manufacturing of elliptical gears.Tétel Szabadon hozzáférhető PREDICTIVE MAINTENANCE ON MANUFACTURING LINES USING EDGE-BASED MACHINE LEARNING OPERATIONSSiddiqui, Adeel Kamal; Deák, Krisztián; DE--Műszaki KarThis thesis presents an edge-based predictive maintenance system for bearing fault diagnosis using vibration analysis and deep learning. The work focuses on the CWRU bearing dataset, where time-domain vibration signals are converted into cepstrum features and classified with a 1D-CNN into four conditions: Normal, Ball, Inner Race, and Outer Race. The model is then deployed in a Dockerized edge–cloud architecture using FastAPI, a sensor simulator, and an interactive Dash dashboard for real-time monitoringTétel Szabadon hozzáférhető Design and Analysis of a Flat Form Tool and its Clamping DeviceArwa, Tazrian Kabir; Bodzás, Sándor; DE--Műszaki KarA flat form tool is a lathe cutting tool designed with a profile that matches the contour to be generated in the workpiece. As such, it can machine the full profile of the workpiece in a single pass. This paper presents the design and development of a flat form tool and its corresponding clamping device for application on a lathe machine. The objective of this study was to design a form tool of 120 mm in length and a suitable clamping device, integrating theoretical calculations, constructional evaluation as well as simulations on finite element software to ensure that the assembly works well under realistic operational loads. The findings verified that the final design satisfied the necessary requirements for rigidity, accuracy, and assembly needs. The approach also provides a valuable reference framework that can guide future tool and fixture design.Tétel Korlátozottan hozzáférhető HIGH-FREQUENCY ACOUSTIC EMISSION MEASUREMENT IN CHARPY IMPACT TESTING COMBINED WITH BARKHAUSEN NOISE ANALYSIS AND RESIDUAL STRESS LEVEL MEASUREMENT.Orynbassar, Beibarys; Balogh, Gabor; DE--Műszaki KarAccurately evaluating internal residual stresses in ferromagnetic materials is critical for ensuring structural integrity. Conventional stress measurement techniques, such as X-ray diffraction and the hole-drilling method, are inherently limited as they are either purely static or semi-destructive. Those methods can be expensive or destroy the structural integrity of the material. This thesis proposes a novel, non-destructive hybrid methodology that integrates high-frequency Acoustic Emission (AE) and dynamic Barkhausen Noise (BHN) analysis during instrumented Charpy impact testing to evaluate residual stress dynamically. To systematically investigate this, a controlled heat treatment was applied to steel specimens, heated up to 900 degrees Celsius and cooled accordingly (furnace-cooled, air-cooled, and water-quenched) to induce distinct microstructures and residual stress profiles. A customized LabVIEW data acquisition (DAQ) architecture, which is triggered by an optical gate, was developed to synchronously capture the microsecond-scale acoustic and magnetic responses. High-pass Fast Fourier Transform (FFT) filtering (cutoff at 1000 Hz) was successfully applied to eliminate baseline electromagnetic interference and isolate high-frequency acoustic fracture waves. The digital signal processing revealed several significant findings. Cross-correlation analysis proved a strict temporal synchronization between the acoustic shockwave of crack propagation and the magnetic domain wall shifts, achieving coefficients up to |R| = 0.988. Furthermore, the study identified a "Shannon Entropy Paradox," demonstrating that high-energy ductile tearing yields mathematically low-entropy acoustic bursts, whereas low-energy brittle shattering produces highly chaotic, high-entropy signals. Finally, by capturing the dynamic magneto-elastic response (for example the Villari effect), a linear regression model was established, proving that Peak Acoustic Emission can reliably predict the dynamic Peak Barkhausen Noise spike. These experimental findings were successfully validated against theoretical ANSYS Explicit Dynamics simulations across varying temperature profiles (-80 degrees, -20 degrees and 22 degrees). Ultimately, the integration of dynamic AE and BHN signals provides a powerful diagnostic tool capable of differentiating pre-existing residual stress states and monitoring structural embrittlement in real-time.Tétel Szabadon hozzáférhető OPTIMIZING THE COMBUSTION SYSTEM EFFICIENCY AND CONTROLLING EMISSIONS IN THE CLOUD-CONNECTED GASOLINE ENGINE USING DEEP REINFORCEMENT LEARNING METHODAbdalla, Mohamed Abdelmaksoud Abdelaty Hegazy; Deák, Krisztián; Freiha, Hela; DE--Műszaki KarThe thesis has presented a thorough research of Deep Reinforcement Learning used in conjunction with a Digital Twin for the optimization of combustion efficiency and emission control in a gasoline engine. The study was inspired by the limitations of conventional map-based calibration and the need for adaptive, intelligent control systems to meet future regulations and real-world performance requirements. A Soft Actor-Critic agent was efficiently trained to control the spark timing and air-fuel ratio through a well-designed experimental plan. The policy learned by the model showed that it had several levels of understanding of the physical concepts by following the lead of the "retard of the spark" and "lean-burn" operation to get the result that is a good compromise between efficiency and emissions. The comparisons on the basis of the conventional controller have shown that the Deep Reinforcement Learning controller is way ahead in performance and especially on average NOx emissions have been reduced by 34.7% in different driving cycles without yet a statistically significant fuel economy penalty from the same experiments, and even the efficiency in aggressive driving has been improved. Most importantly of developing and demonstrating the practicality of deep reinforcement learning voice of control in car combustion engines. The hardware-in-the-loop validation demonstrated the online feasibility of the RFC being a thousand times faster than the requirement with a small memory footprint suitable for production ECUs. In summary, the thesis not only opens a new window into how to combine and harness the technologies within a closed loop engine control system but also convincingly argues for considering machine learning as the preferred method for the control of the next generation of engines. By taking into account the instantaneous nature of the unguided, shared and overall world's driving conditions, it provides a recipe for the synthesis of high efficiency, low emissions, and dynamic performance modes, which are often in conflict. The main obstacles lying in the path of the widespread deployment of DLC are certification and full physical validation, but the work here already goes a long way to achieve that if not fully.Tétel Szabadon hozzáférhető Machine Learning-Based Investigation of the Compressive Behavior of TI6AL4V Lattice StructuresHasan, Maliha Binte; Mankovits, Tamás; DE--Műszaki KarThis study investigates the prediction of the effective Young's modulus of Ti6Al4V lattice structures using four regression-based machine learning models, namely Linear Regression, Polynomial Regression, Support Vector Regression, and Gaussian Process Regression, developed in MATLAB from 25 sets of Finite Element Analysis simulation data. Ti6Al4V was selected for its biocompatibility and corrosion resistance, with accurate Young's modulus prediction being critical to minimising stress shielding between bone implants and surrounding bone tissue. Among the models evaluated, Polynomial Regression and Gaussian Process Regression demonstrated the strongest predictive performance, achieving the lowest RMSE and highest R² values in actual versus predicted comparisons. Learning curve analysis and 5-fold Cross Validation revealed that optimal model training required only 36–52% of the total dataset, highlighting a significant opportunity to reduce computational cost by limiting the number of Finite Element Analysis simulations needed. These findings demonstrate that machine learning regression models can efficiently and accurately predict the mechanical properties of lattice structures, supporting more precise control of implant porosity in biomedical engineering applications.Tétel Szabadon hozzáférhető DESIGN OPTIMIZATION AND FATIGUE LIFE ANALYSIS OF A BICYCLE HEADLAMP MOUNTING BRACKET USING FINITE ELEMENT METHODOkafor, Michael Ebuka; Huri , Dávid; DE--Műszaki KarThis thesis investigates the structural performance and design optimization of a bicycle headlamp mounting bracket using finite element analysis and topology optimization techniques. A CAD model of the original bracket was developed in SOLIDWORKS and analysed under realistic and conservative loading conditions to identify critical stress regions responsible for structural weakness. The results revealed significant stress concentration at the neck region of the original design, indicating inefficient load distribution. To improve the structural behaviour, topology optimization was performed to redistribute material along the primary load paths while reducing unnecessary mass. The optimized design achieved improved stress distribution, reduced peak stress, and a lower mass of 9.209 g while maintaining structural safety with a factor of safety greater than unity. The study demonstrates the effectiveness of simulation-driven design optimization in improving lightweight engineering components without increasing material usage.Tétel Szabadon hozzáférhető Optimization of Performance Management of LVHM ManufacturingWickramanayake Pathirannahalage , Sajith Dilshan; Matkó, Andrea; Laczkó, Gábor; DE--Műszaki KarThis thesis investigates the limitations of traditional performance measurement systems in low-volume high-mix (LVHM) manufacturing environments. Based on a case study at Bürkle Hungary Kft., it identifies key gaps in existing KPIs, including poor supplier reliability, rework inefficiencies, and unmeasured coordination losses. The study uses qualitative methods such as interviews, observations, and document analysis to evaluate current practices. To address these issues, an integrated QDCSM-P&L performance framework is developed, linking operational indicators directly to financial outcomes. A new KPI, the Coordination Loss Rate, is introduced to capture previously untracked inefficiencies. The research demonstrates that improving performance management in LVHM environments requires structural changes supported by digital tools like Power BI dashboards.Tétel Szabadon hozzáférhető Optical Stress Field Measurement Device DevelopmentBonilla Barragán, Carlos Emilio; Balogh, Gábor; DE--Műszaki KarThis thesis details the design, prototyping, testing, and validation of a three-point bending testing machine for brittle materials and polymers. In addition to the machine, the system incorporates 2D Digital Image Correlation analysis to evaluate displacements and deformations using specialized software (Ncorr). To control the machine, a program was developed in LabVIEW that controls the motors, relays, sensors, and the actuator responsible for applying force to the specimen. Additionally, the graphical interface developed for the program generates a real-time force-displacement graph during the flexural test. The DIC application uses a camera, lighting, and a speckle pattern on the specimen to ensure precise tracking of the points. The experimental results confirmed the expected behavior of the materials tested prior to failure, verifying the presence of pure bending by showing consistent displacement results along the X and Y axes, and horizontal deformation indicating the presence of compression and tension zones on the specimen’s surface, in addition to shear strain values close to zero.Tétel Szabadon hozzáférhető Geometric Analysis and Maintenance of a SprocketYousef, Fares; Bodzás, Sándor; DE--Műszaki KarThis thesis investigates the geometric deterioration of a three-gear bicycle sprocket assembly with 28, 38, and 48 teeth. It uses reverse engineering and 3D laser scanning to capture the worn sprockets, then reconstructs their CAD models using Geomagic Design and Siemens NX. Restored reference models were created by adding 0.1 mm to the tooth profiles, allowing comparison between the worn and estimated unworn geometries. The analysis showed that the greatest wear occurred around the tooth perimeter, with the large gear showing heavy continuous wear and the medium gear showing the most irregular deformation. The main wear mechanisms identified were abrasive and fatigue wear, with possible adhesive and corrosive effects depending on lubrication and operating conditions. Based on these findings, the thesis proposes preventive, condition-based, and predictive maintenance actions such as cleaning, lubrication, tightening checks, visual inspection, and diagnostic measurements.Tétel Korlátozottan hozzáférhető Inverse material model calibration of rubber bumperPromy, Tabassum Tasnim; Huri, Dávid; DE--Műszaki KarThis study explores an inverse calibration process to find the material parameters of the constitutive model that will lead to accurate prediction of the bumper behavior based on an experimental dataset. An axisymmetric model of a rubber bumper and platens were utilized and simulated for compressive load using finite element method. The simulation dataset was used to predict the material model parameter by surrogate model based optimization method. For the simulation and optimization ANSYS was used. The fitted parameters were further validated by comparing stress and strain data to the specimen.Tétel Korlátozottan hozzáférhető INVESTIGATION OF FAILED DQ400 TYPE TRANSMISION CONTROL UNIT AFTER LEAN HEAT TESTMuhammed Abdul, Basith; Huri, Dávid; DE--Műszaki KarSummary of The post-investigation of DQ400 TCU failures in a production line provides a profound overview of the core causes affecting the product reliability and process steadiness. Since the various repeating defects were identified after Lean Heat Test and the End-of-Line procedure, the Min KL30 current-based failure was treated as the most frequent and dangerous failure. This defectiveness was highly reoccurring, providing significant danger for electrical functions and final customer satisfaction. As a result, a profound RCA and Structured CAPA were conducted. The root cause of Min KL30 failure was identified through the comprehensive analysis of defective samples, Process Audits, and cross-sectional imaging. This RCA determined that the Min KL30 defect appears due to contamination and micro-residues related to solder that are placed in the near valve connector and baseplate sections. Solder balls, metallic dust, and flux residues create unintended conductive bridges between them in a harsh thermal environment, as observed during the LHT process. More so, the inaccurate soldering temperature, excessive amount of conveyor speed, and bad post-soldier cleaning performance contribute to leftover solder debris on the PCBA. The lack of proper guidelines in AXI contributed to the fact that the device was unable to discover the micro defects. On these grounds, a set of corrective and preventive measures was developed and proposed to eliminate the root causes. The major improvements include a cleaning brush thickness and density increase to make it more reliable in post-solder efficiency, re-soldering temperature re-optimization to avoid the molten solder instability, and reduction of the conveyor speed to guarantee constant and uniformly distributed wetting and solidification of solder. Additionally, recommending renovating the AXI inspection system to a novel one, furnished with complex and accurate image processing algorithms, and defect recognition based on AI will increase defect sensitivity and accuracy, with items like small metallic particles or the solder balls covered under the component insides can be otherwise imperceptible. The estimated results from enacting these measures are immense. While examining the vital process parameters and replacement of the inspection capability, the overall solder defects rate will be at 80 to 90% reduced levels, directly increasing the First Pass Yield and reducing the numerous leans and reworks. The number of Min KL30 current fires will be reduced, to increase the Mean Time Between Failures, a characteristic of better field reliability, which will boost the test rate reduction, lowering the warranty claim strata. On the production side, the process gauge will have better stability, scarce unanticipated stoppers, and increased Overall Equipment Effectiveness compliance. Economically, these endeavors are seen to result in a Cost of Poor Quality breakdown to a more than tenable limit through more supply of material, enhanced test cycle opportunity, and closely flat resource wastage. Therefore, in the end, this research effectively resolves a significant recurring failure within the production process of the DQ400 TCU. Still, more importantly, it adds to the culture of structured problem solving and data-supported decision-making, which continually strengthens the manufacturing system. The conclusion emphasizes the value of process integration, predictive maintenance, and innovative inspection processes within high-end modern automotive electronic manufacturing. Finally, their successful application consolidates the Production line’s status to successfully address its vision of achieving sustainable quality improvement and associated product reliability and long-term competitiveness standards, as desired by the global automotive industry.Tétel Korlátozottan hozzáférhető DESIGN OF A CHAIN WAXING SYSTEM FOR SOLID FILM LUBRICANTSKupoluyi, Oluwagbemisola Favour; Huri, Dávid; DE--Állam- és Jogtudományi KarThis thesis presents the design of a chain waxing system intended for applying solid film lubricants to bicycle chains. The work begins with a review of existing chain lubrication methods, highlighting the limitations of conventional wet and dry lubricants and the advantages of solid wax coatings. Solid film lubricants commonly used for bicycle maintenance are introduced, with emphasis on their friction-reducing properties, cleanliness, and durability. The structural characteristics, materials, and wear mechanisms of bicycle chains are then analyzed to determine the lubrication requirements and the critical contact zones. Based on these insights, a conceptual chain waxing system is developed, including a heating bath, chain-handling components, and a break-in mechanism designed to ensure uniform wax penetration. The design process incorporates practical constraints, ergonomics, and ease of maintenance. The thesis concludes that the proposed system provides a cleaner, more consistent, and more efficient lubrication method, and it offers a foundation for future optimization and prototype development.