TY - JOUR AU - Li, Kang AU - Nagy, Dániel AU - Keller, Thomas AU - Tamás, Kornél TI - Evaluating the effects of earthworm tip geometry on burrowing forces using cone penetration analogues and GPU-based discrete element method (DEM) simulations JF - SOIL & TILLAGE RESEARCH J2 - SOIL TILL RES VL - 259 PY - 2026 PG - 16 SN - 0167-1987 DO - 10.1016/j.still.2026.107069 UR - https://m2.mtmt.hu/api/publication/36860164 ID - 36860164 N1 - We thank Zoltán Huboda from the Department of Machine and Product Design, Budapest University of Technology and Economics for his guidance. We thank Zoltán Tompai, Ferenc Némethy and Norbert Némethy from the Geotechnics and Engineering Geology Laboratory, Budapest University of Technology and Economics, for their guidance and for providing the experimental equipment. We also thank Daniel Iseskog from the Soil Mechanics and Soil Management Laboratory, Swedish University of Agricultural Sciences, Uppsala for manufacturing the steel cones. The work of Kang Li was supported by the dr. ir. Aalt Dijkhuizen Fund in the Wageningen University. This paper was supported by the Hungarian Scientific Research Fund, Hungary (NKFIH FK-146067). Project No. 2025-2.1.2-EKÖP-KDP-2025-00005 has been implemented with the support provided by the Ministry of Culture and Innovation of Hungary, from the National Research, Development and Innovation Fund, financed under the EKÖP_KDP-25-1-BME-6 funding scheme. Thomas Keller acknowledges funding from the Swedish Research Council for Sustainable Development (Formas), grant no 2021-00966. Project no. TKP-9-8/PALY-2021 has been implemented with the support provided by the Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund , financed under the TKP2021-EGA funding scheme. LA - English DB - MTMT ER - TY - JOUR AU - Pásthy, László AU - Tamás, Kornél TI - Modelling the mechanical behaviour of plants and soil-plant interactions with MSM and coupled DEM-MSM methods JF - PROGRESS IN AGRICULTURAL ENGINEERING SCIENCES J2 - PROG AGRIC ENG SCI VL - 446-2025 PY - 2026 SP - 1 EP - 35 PG - 35 SN - 1786-335X DO - 10.1556/446.2025.00277 UR - https://m2.mtmt.hu/api/publication/36855949 ID - 36855949 LA - English DB - MTMT ER - TY - CHAP AU - Lugaresi, Giovanni AU - Belardini, Matteo AU - Poungsuwan, Chayut AU - Kovács, László AU - Tamás, Kornél ED - Scarpa, Marco ED - Cavalieri, Salvatore ED - Serrano, Salvatore ED - De Vita, Fabrizio TI - Integration of Learning Curves in Digital Twins for Dynamic Assembly Line Re-Balancing T2 - Proceedings of the 39th ECMS International Conference on Modelling and Simulation ECMS 2025 PB - Università di Catania CY - Catania SN - 9783937436852 T3 - Communications of the ECMS, ISSN 2522-2414 ; 39/1. PY - 2025 SP - 233 EP - 238 PG - 6 DO - 10.7148/2025-0233 UR - https://m2.mtmt.hu/api/publication/36215452 ID - 36215452 AB - 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. LA - English DB - MTMT ER - TY - CONF AU - Szabó, Bence AU - Tamás, Kornél ED - Barabás, István TI - Procedurális modellezéssel készült, szabadfelületekkel határolt parametrikus talajművelő szerszámgeometria tervezése geometriaoptimalizáláshoz T2 - OGÉT 2025 - XXXIII. Nemzetközi Gépészeti Konferencia PB - Erdélyi Magyar Műszaki Tudományos Társaság (EMT) C1 - Nagyvárad T3 - Nemzetközi Gépészeti Találkozó (OGÉT), ISSN 2068-1267 ; 33. PY - 2025 SP - 448 EP - 453 PG - 6 UR - https://m2.mtmt.hu/api/publication/36141919 ID - 36141919 AB - 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. LA - Hungarian DB - MTMT ER - TY - PAT AU - Tamás, Kornél AU - Hudoba, Zoltán AU - Pásthy, László TI - Eke CY - Country:10001(1) PY - 2025 UR - https://m2.mtmt.hu/api/publication/35783419 ID - 35783419 N1 - Bejelentés napja: 2024. augusztus 9.; közzétételre még nem került LA - Hungarian DB - MTMT ER - TY - CHAP AU - Yokota, Adan AU - Tamás, Kornél ED - Scarpa, Marco ED - Cavalieri, Salvatore ED - Serrano, Salvatore ED - De Vita, Fabrizio TI - Examination of Soil Surface Clod Fractions Using Image Processing and YOLO Deep Learning T2 - Proceedings of the 39th ECMS International Conference on Modelling and Simulation ECMS 2025 PB - Università di Catania CY - Catania SN - 9783937436852 T3 - Communications of the ECMS, ISSN 2522-2414 ; 39/1. PY - 2025 SP - 177 EP - 183 PG - 7 DO - 10.7148/2025-0177 UR - https://m2.mtmt.hu/api/publication/36215456 ID - 36215456 N1 - Export Date: 10 November 2025; Cited By: 0 AB - 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. LA - English DB - MTMT ER - TY - CHAP AU - Gräff, József Balázs AU - Pásthy, László AU - Tamás, Kornél ED - Grzonka, Daniel ED - Rylko, Natalia ED - Suchacka, Grazyna ED - Mityushev, Vladimir TI - DEVELOPMENT OF A 3D DEM SIMULATION SOFTWARE FOR COUPLED SIMULATIONS T2 - Proceedings of the 38th ECMS International Conference on Modelling and Simulation, ECMS 2024 PB - Pirrot GmbH CY - Saarbrücken SN - 9783937436845 T3 - Communications of the ECMS, ISSN 2522-2414 ; v. 38, issue 1.. PY - 2024 SP - 194 EP - 200 PG - 7 DO - 10.7148/2024-0194 UR - https://m2.mtmt.hu/api/publication/34895560 ID - 34895560 N1 - Cracow University of Technology Bachelor’s student, Budapest University of Technology and Economics, Hungary Department of Machine and Product Design, Budapest University of Technology and Economics, Faculty of Mechanical Engineering, Hungary Conference code: 199861 Export Date: 14 June 2024 Funding details: Budapesti Műszaki és Gazdaságtudományi Egyetem, BME Funding details: Hungarian Scientific Research Fund, OTKA Funding details: Magyar Tudományos Akadémia, MTA, TKP-6-6/PALY-2021 Funding details: Magyar Tudományos Akadémia, MTA Funding details: Nemzeti Kutatási, Fejlesztési és Innovaciós Alap, NKFIA, ÚNKP-23-5BME-80 Funding details: Nemzeti Kutatási, Fejlesztési és Innovaciós Alap, NKFIA Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFIH, FK-146067 Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFIH Funding text 1: This paper was supported by the J\\u00E1nos Bolyai Research Scholarship of the Hungarian Academy of Sciences. The research reported in this paper is part of project no. TKP-6-6/PALY-2021, implemented with the support provided by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund, financed under the TKP2021-NVA funding scheme. This research was supported by the \\u00DANKP, funded by the National Research Development and Innovation Fund under grant number \\u00DANKP-23-5BME-80. This paper was supported by the Hungarian Scientific Research Fund (NKFIH FK-146067). The project supported by the Doctoral Excellence Fellowship Programme (DCEP) is funded by the National Research Development and Innovation Fund of the Ministry of Culture and Innovation and the Budapest University of Technology and Economics, under a grant agreement with the National Research, Development and Innovation Office. The publication of the work reported herein has been supported by ETDB at BME. AB - 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. LA - English DB - MTMT ER - TY - CHAP AU - Kovács, László AU - Lugaresi, Giovanni AU - Tamás, Kornél ED - Dunaev, Dmitriy ED - Vajk, István TI - Assembly line balancing with real-time monitoring: introduction to a case-study T2 - Proceedings of the Automation and Applied Computer Science Workshop 2024 : AACS'24 PB - Budapesti Műszaki Egyetem (BME) CY - Budapest SN - 9789634219606 PY - 2024 SP - 148 EP - 158 PG - 11 UR - https://m2.mtmt.hu/api/publication/36327895 ID - 36327895 LA - English DB - MTMT ER - TY - CHAP AU - Lugaresi, Giovanni AU - Kovács, László AU - Tamás, Kornél ED - Grzonka, Daniel ED - Rylko, Natalia ED - Suchacka, Grazyna ED - Mityushev, Vladimir TI - Digital twin driven assembly line re-balancing and decision support T2 - Proceedings of the 38th ECMS International Conference on Modelling and Simulation, ECMS 2024 PB - Pirrot GmbH CY - Saarbrücken SN - 9783937436845 T3 - Communications of the ECMS, ISSN 2522-2414 ; v. 38, issue 1.. PY - 2024 SP - 164 EP - 170 PG - 7 DO - 10.7148/2024-0164 UR - https://m2.mtmt.hu/api/publication/35022537 ID - 35022537 N1 - Cracow University of Technology Department of Mechanical Engineering, KU Leuven, Leuven, Belgium Department of Automation and Applied Informatics, Budapest University of Technology and Economics, Budapest, Hungary Conference code: 199861 Export Date: 14 June 2024 Funding details: Hungarian Scientific Research Fund, OTKA Funding details: Nemzeti Kutatási, Fejlesztési és Innovaciós Alap, NKFIA, ÚNKP-23-5-BME-80, TKP2021-NVA Funding details: Nemzeti Kutatási, Fejlesztési és Innovaciós Alap, NKFIA Funding details: 2022-2.1.1-NL-2022-00012 Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFIH, FK-146067 Funding details: Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, NKFIH Funding details: Magyar Tudományos Akadémia, MTA, TKP-6-6/PALY-2021 Funding details: Magyar Tudományos Akadémia, MTA Funding text 1: This paper was supported by: the J\\u00E1nos Bolyai Research Scholarship of the Hungarian Academy of Sciences (project no. TKP-6-6/PALY-2021), the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund (TKP2021-NVA funding scheme), the National Research Development and Innovation Fund (grant nr. \\u00DANKP-23-5-BME-80.), the Hungarian Scientific Research Fund (NKFIH FK-146067), the Ministry of Culture and Innovation and the National Research, Development and Innovation Office within the Cooperative Technologies National Laboratory of Hungary (grant nr. 2022-2.1.1-NL-2022-00012). Special thanks to the development team of the Technology Center, and personal thanks to D\\u00E1niel B\\u00E1lint and P\\u00E9ter Tkalcec. AB - 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. LA - English DB - MTMT ER - TY - CONF AU - Nagy, Dániel AU - Pásthy, László AU - Tamás, Kornél TI - Diszkrételemes módszerek implementációja grafikus processzorokra numerikus talajszimulációk gyorsításához T2 - OGÉT 2024 - XXXII. Nemzetközi Gépészeti Konferencia PB - Erdélyi Magyar Műszaki Tudományos Társaság (EMT) T3 - Nemzetközi Gépészeti Találkozó (OGÉT), ISSN 2068-1267 ; 32. PY - 2024 SP - 279 EP - 284 PG - 6 UR - https://m2.mtmt.hu/api/publication/34841205 ID - 34841205 AB - 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. LA - Hungarian DB - MTMT ER -