@article{MTMT:36860164, title = {Evaluating the effects of earthworm tip geometry on burrowing forces using cone penetration analogues and GPU-based discrete element method (DEM) simulations}, url = {https://m2.mtmt.hu/api/publication/36860164}, author = {Li, Kang and Nagy, Dániel and Keller, Thomas and Tamás, Kornél}, doi = {10.1016/j.still.2026.107069}, journal-iso = {SOIL TILL RES}, journal = {SOIL & TILLAGE RESEARCH}, volume = {259}, unique-id = {36860164}, issn = {0167-1987}, year = {2026}, eissn = {1879-3444}, orcid-numbers = {Li, Kang/0009-0009-2107-538X; Nagy, Dániel/0000-0002-7077-5042; Keller, Thomas/0000-0002-9383-3209; Tamás, Kornél/0000-0001-7556-6410} } @article{MTMT:36855949, title = {Modelling the mechanical behaviour of plants and soil-plant interactions with MSM and coupled DEM-MSM methods}, url = {https://m2.mtmt.hu/api/publication/36855949}, author = {Pásthy, László and Tamás, Kornél}, doi = {10.1556/446.2025.00277}, journal-iso = {PROG AGRIC ENG SCI}, journal = {PROGRESS IN AGRICULTURAL ENGINEERING SCIENCES}, volume = {446-2025}, unique-id = {36855949}, issn = {1786-335X}, year = {2026}, eissn = {1787-0321}, pages = {1-35} } @inproceedings{MTMT:36215452, title = {Integration of Learning Curves in Digital Twins for Dynamic Assembly Line Re-Balancing}, url = {https://m2.mtmt.hu/api/publication/36215452}, author = {Lugaresi, Giovanni and Belardini, Matteo and Poungsuwan, Chayut and Kovács, László and Tamás, Kornél}, booktitle = {Proceedings of the 39th ECMS International Conference on Modelling and Simulation ECMS 2025}, doi = {10.7148/2025-0233}, unique-id = {36215452}, abstract = {Assembly lines often face variability in operator performance, causing inefficiencies that can lead to prolonged throughput times and suboptimal resource utilization. This paper explores how Digital Twins (DT) integrated within a Decision Support System (DSS) can address these issues by simulating and re-balancing assembly lines in real-time. Real-time data is used to update DT predictions including learning effects to generate alternative solutions in terms of task allocation. Numerical experiments on a simplified assembly line structure show consistent reductions in cycle time when re-balancing and adjusting re-balancing intervals.}, year = {2025}, pages = {233-238} } @CONFERENCE{MTMT:36141919, title = {Procedurális modellezéssel készült, szabadfelületekkel határolt parametrikus talajművelő szerszámgeometria tervezése geometriaoptimalizáláshoz}, url = {https://m2.mtmt.hu/api/publication/36141919}, author = {Szabó, Bence and Tamás, Kornél}, booktitle = {OGÉT 2025 - XXXIII. Nemzetközi Gépészeti Konferencia}, unique-id = {36141919}, abstract = {The optimization of the interaction between tillage tools and soil is an intensively researched field due to both economic and environmental reasons. Even a small increase in efficiency during tillage can lead to significant energy savings due to the large areas involved. Moreover, the proper design of tillage tools is crucial for maintaining soil health. The aim of this research is to model the geometry of a sweep tool with a parametric design, defined by freeform surfaces. The Blender Geometry Nodes (GN) tool was used to create the geometry. The parametrically designed sweep tool is defined by 14 parameters. Its 3D model enables geometric optimization through numerical simulations, such as the discrete element method (DEM), and serves as a basis for manufacturing. The results of this research contribute to the development of more cost-effective and environmentally friendly tillage tools in the future.}, keywords = {procedurális modellezés; talajművelő szerszám; geometriaoptimalizálás; parametrikus geometria}, year = {2025}, pages = {448-453} } @{MTMT:35783419, title = {Eke}, url = {https://m2.mtmt.hu/api/publication/35783419}, author = {Tamás, Kornél and Hudoba, Zoltán and Pásthy, László}, unique-id = {35783419}, year = {2025} } @inproceedings{MTMT:36215456, title = {Examination of Soil Surface Clod Fractions Using Image Processing and YOLO Deep Learning}, url = {https://m2.mtmt.hu/api/publication/36215456}, author = {Yokota, Adan and Tamás, Kornél}, booktitle = {Proceedings of the 39th ECMS International Conference on Modelling and Simulation ECMS 2025}, doi = {10.7148/2025-0177}, unique-id = {36215456}, abstract = {Identifying the clods with traditional image processing is insufficient due to the irregular shape of the clods and the variety of soil types. In the literature, clod analysis is often performed after the clods are removed from their place of formation or damaged due to sectioning, thus limiting the number of similar approaches. The highly popular Deep Learning algorithms provided the solution. In this study, YOLO (You Only Look Once) algorithm was used. For its training, image processing, primarily the Watershed algorithm, is used for which a Python-based program was developed. After marking the clods and the background with image processing techniques and then augmenting it manually, the Watershed algorithm searches for the boundaries of the marked clods, significantly reducing the manual segmentation process that would otherwise require numerous human hours. Resulting in a methodology than can be used for both on field and Discrete Element Method simulations.}, year = {2025}, pages = {177-183} } @inproceedings{MTMT:34895560, title = {DEVELOPMENT OF A 3D DEM SIMULATION SOFTWARE FOR COUPLED SIMULATIONS}, url = {https://m2.mtmt.hu/api/publication/34895560}, author = {Gräff, József Balázs and Pásthy, László and Tamás, Kornél}, booktitle = {Proceedings of the 38th ECMS International Conference on Modelling and Simulation, ECMS 2024}, doi = {10.7148/2024-0194}, unique-id = {34895560}, abstract = {This study is based on the development and methodology of building 3 dimensional discrete-, and finite element (DEM-FEM) simulation engines, as well as the potential way of improving usability and simulation speed. The program demonstrated here, BMEDEM3D, natively supports discrete element, finite element, and mass spring simulations. Currently no simulation software supports all these methods without the need for coupling several different programs to achieve these results. BMEDEM3D contains a powerful Graphical User Interface, which lets the user configure everything without needing to understand programming.}, year = {2024}, pages = {194-200} } @inproceedings{MTMT:36327895, title = {Assembly line balancing with real-time monitoring: introduction to a case-study}, url = {https://m2.mtmt.hu/api/publication/36327895}, author = {Kovács, László and Lugaresi, Giovanni and Tamás, Kornél}, booktitle = {Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24}, unique-id = {36327895}, year = {2024}, pages = {148-158} } @inproceedings{MTMT:35022537, title = {Digital twin driven assembly line re-balancing and decision support}, url = {https://m2.mtmt.hu/api/publication/35022537}, author = {Lugaresi, Giovanni and Kovács, László and Tamás, Kornél}, booktitle = {Proceedings of the 38th ECMS International Conference on Modelling and Simulation, ECMS 2024}, doi = {10.7148/2024-0164}, unique-id = {35022537}, abstract = {Recent investments in industrial digitization together with the concrete need for short-term planning capabilities mean digital twins can effectively aid enterprises in the management of their production systems and value chains. This paper introduces a conceptual framework for assembly line re-balancing in the context of Industry 5.0, focusing on manual assembly processes. The framework aims to leverage a digital twin for obtaining a synchronized representation of the current task allocations in the assembly line, and uses data-driven scenario generation methods for investigating alternative balancing solutions that are proposed to operators in real time. A proof-of-concept platform is implemented in a laboratory environment, utilizing an assembly line with industrial components. Preliminary results demonstrate the compatibility of the proposed components within the digital twin framework. The potential applicability to various manual assembly scenarios is discussed, along with considerations for incorporating additional constraints in the evaluation process. ©ECMS Daniel Grzonka, Natalia Rylko, Grazyna Suchacka, Vladimir Mityushev (Editors) 2024.}, keywords = {Decision support systems; production control; production control; Investments; Assembly; Decision supports; PRODUCTION SYSTEM; Assembly line; Assembly lines; Manual assembly; Industry 5.0; Industry 5.0; digitisation; Digital twins; Assembly machines; Short term planning; re-balancing; re-balancing; work assignment; Planning capability; Work assignments}, year = {2024}, pages = {164-170} } @CONFERENCE{MTMT:34841205, title = {Diszkrételemes módszerek implementációja grafikus processzorokra numerikus talajszimulációk gyorsításához}, url = {https://m2.mtmt.hu/api/publication/34841205}, author = {Nagy, Dániel and Pásthy, László and Tamás, Kornél}, booktitle = {OGÉT 2024 - XXXII. Nemzetközi Gépészeti Konferencia}, unique-id = {34841205}, abstract = {This work presents the in-house-developed GPU-based discrete element method (DEM) solver, which is more than an order of magnitude faster than other available DEM software due to GPU acceleration. The goal is to use the program to create simulations of the soil-sweep interactions and to reproduce measurement results in wet sand soil with automatic parameter calibration using an evolutionary algorithm.}, year = {2024}, pages = {279-284}, orcid-numbers = {Nagy, Dániel/0000-0002-7077-5042} }