TY - JOUR AU - Fodor, Gergő AU - Bachrathy, Dániel TI - Efficient approximation of stochastic turning process based on power spectral density JF - INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY J2 - INT J ADV MANUFACT TECHNOL VL - 133 PY - 2024 IS - 11-12 SP - 5673 EP - 5681 PG - 9 SN - 0268-3768 DO - 10.1007/s00170-024-14059-9 UR - https://m2.mtmt.hu/api/publication/35086421 ID - 35086421 N1 - Export Date: 15 July 2024 CODEN: IJATE Correspondence Address: Fodor, G.; Department of Applied Mechanics, Műegyetem rkp. 3., Budapest, Hungary; email: gergo.fodor@mm.bme.hu Funding details: Hungarian Scientific Research Fund, OTKA Funding details: FK-138500 Funding text 1: Open access funding provided by Budapest University of Technology and Economics. The research leading to these results was supported by the Hungarian Scientific Research Fund (OTKA FK-138500). AB - Turning is one of the most important material removal processes in manufacturing, where the proper understanding of the process is crucial for the quality of the final product. In this study, the stochastic cutting force is utilized to enhance the existing 1-degree-of-freedom turning model. A stochastic model is adopted to address the stochastic resonance phenomenon occurring near stability boundaries. Additionally, a novel simplified stochastic model is introduced with additive noise only. The comparison of the two models reveals that, with the recommended noise intensity of 0.1 to 1%, there is no significant difference in the stability charts and mean square characteristics between the two models. As a result, the time-consuming numerical methods can be bypassed, as the simplified model offers a computationally more efficient analytical approach to compute variance based on power spectral density (PSD). By combining techniques such as D-separation to determine stability boundaries and the PSD-based variance calculation, it only takes a minute instead of hours to construct a heatmap using the introduced simplified stochastic turning model that clearly outlines dangerous stochastic resonance regions inside the stable domain. LA - English DB - MTMT ER - TY - JOUR AU - Heitz, Thomas AU - He, Ning AU - Jamil, Muhammad AU - Bachrathy, Dániel TI - Development and implementation of a novel split-wise model to predict the cutting forces in milling of Al2024 for minimum error JF - INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY J2 - INT J ADV MANUFACT TECHNOL VL - 133 PY - 2024 IS - 11-12 SP - 5101 EP - 5115 PG - 15 SN - 0268-3768 DO - 10.1007/s00170-024-13913-0 UR - https://m2.mtmt.hu/api/publication/35075490 ID - 35075490 N1 - College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China Department of Applied Mechanics, Budapest University of Technology and Economics, Budapest, 1111, Hungary Export Date: 28 June 2024 CODEN: IJATE Correspondence Address: He, N.; College of Mechanical and Electrical Engineering, China; email: drnhe@nuaa.edu.cn AB - Accurate prediction of cutting force is essential not only for estimating power and torque but also for precise chatter prediction, where even the derivative of the cutting force function is crucial. The traditional cutting force model does not consider the runout, and the enhanced models that consider it are often difficult to be established due to the need of physical runout measurements. This study proposes a newly developed split-wise model to predict the cutting forces in Al2024. This model includes the calculation of the cutting force considering individual teeth which leads to the determination of 6 force coefficients of different values per tooth. The experiments were conducted on milling Al2024 for two set of experiments (Vfz = 375–675 m/min, ae = 4–12 mm, ap = 0.5–1 mm, D =16 mm) and (Vfz = 220–440 m/min, ae = 0.5–1 mm, ap = 0.5–1 mm, D =2 mm). For the first set, the comparative error determined from the split-wise and classic models is 5.6% and 7.8%, respectively. For the second set, the error is 11% and 15.7%, respectively. Therefore, the split-wise cutting force model is capable of adapting the runout and consequently improving the prediction of the cutting force with both large and small tools operations. Additionally, the split-wise may find applications in advanced manufacturing technologies allowing industries to enhanced productivity and quality. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024. LA - English DB - MTMT ER - TY - CONF AU - Martinovich, Kristóf AU - Bachrathy, Dániel TI - Szimuláció alapú stabilitásvizsgálat állapotfüggő időkésésű modellekben 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 - 252 EP - 257 PG - 6 UR - https://m2.mtmt.hu/api/publication/34826924 ID - 34826924 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Heitz, T. AU - He, N. AU - Ait-Mlouk, A. AU - Bachrathy, Dániel AU - Chen, N. AU - Zhao, G. AU - Li, L. TI - Investigation on eXtreme Gradient Boosting for cutting force prediction in milling JF - JOURNAL OF INTELLIGENT MANUFACTURING J2 - J INTELL MANUF VL - Előzetes kiadás / Early view PY - 2024 PG - 17 SN - 0956-5515 DO - 10.1007/s10845-023-02243-9 UR - https://m2.mtmt.hu/api/publication/34342452 ID - 34342452 N1 - College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China Skövde Artificial Intelligence Lab, School of Informatics, University of Skövde, Skövde, 541 28, Sweden Department of Applied Mechanics, Budapest University of Technology and Economics, Budapest, 1111, Hungary Correspondence Address: He, N.; College of Mechanical and Electrical Engineering, China; email: drnhe@nuaa.edu.cn Correspondence Address: Chen, N.; College of Mechanical and Electrical Engineering, China; email: ni.chen@nuaa.edu.cn LA - English DB - MTMT ER - TY - CONF AU - Fodor, Gergő AU - Kovács, Zoltán AU - Bachrathy, Dániel TI - Modeling stick balancing with stochastic delay differential equations T2 - NODYCON 2023 Book of Abstracts PB - Sapienza University of Rome C1 - Rome PY - 2023 SP - 569 EP - 569 PG - 1 UR - https://m2.mtmt.hu/api/publication/34924557 ID - 34924557 LA - English DB - MTMT ER - TY - CHAP AU - Kiss, Ádám AU - Bachrathy, Dániel ED - Kossa, Attila TI - High-density stability map – stability identification in milling by stop-and-go tool motion T2 - Book of Abstracts. 39th Danubia-Adria Symposium on Advances in Experimental Mechanics. 2023 Hungary PB - Gépipari Tudományos Egyesület (GTE) CY - Siófok SN - 9789634219279 PY - 2023 SP - 132 EP - 133 PG - 2 UR - https://m2.mtmt.hu/api/publication/34504863 ID - 34504863 LA - English DB - MTMT ER - TY - CHAP AU - Bachrathy, Dániel ED - Kossa, Attila TI - CNC milling machine as a multi-axis test machine – combined tension and torsion of silicion bar T2 - Book of Abstracts. 39th Danubia-Adria Symposium on Advances in Experimental Mechanics. 2023 Hungary PB - Gépipari Tudományos Egyesület (GTE) CY - Siófok SN - 9789634219279 PY - 2023 SP - 134 EP - 135 PG - 2 UR - https://m2.mtmt.hu/api/publication/34430638 ID - 34430638 LA - English DB - MTMT ER - TY - CHAP AU - Fodor, Gergő AU - Bachrathy, Dániel ED - Kossa, Attila TI - Human balancing: showing stochastic behavior through measurements with a mobile application T2 - Book of Abstracts. 39th Danubia-Adria Symposium on Advances in Experimental Mechanics. 2023 Hungary PB - Gépipari Tudományos Egyesület (GTE) CY - Siófok SN - 9789634219279 PY - 2023 SP - 26 EP - 27 PG - 2 UR - https://m2.mtmt.hu/api/publication/34175705 ID - 34175705 LA - English DB - MTMT ER - TY - CHAP AU - Bachrathy, Dániel ED - Baksa, Attila ED - Bertóti, Edgár ED - Kiss, László Péter TI - Dinamikai rendszerek robusztus stabilitás térképe több-dimenziós felező módszerrel és stabilizálhatóság T2 - XIV. Magyar Mechanikai Konferencia, Az előadások összefoglalói PB - Miskolci Egyetem, Gépészmérnöki és Informatikai Kar CY - Miskolc-Egyetemváros SN - 9789633583012 PY - 2023 SP - 1 EP - 1 PG - 1 UR - https://m2.mtmt.hu/api/publication/34135143 ID - 34135143 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Martinovich, Kristóf AU - Bachrathy, Dániel ED - Baksa, Attila ED - Bertóti, Edgár ED - Kiss, László Péter TI - Állapotfüggő időkésésre vezető esztergálási modell stabilitásvizsgálata T2 - XIV. Magyar Mechanikai Konferencia, Az előadások összefoglalói PB - Miskolci Egyetem, Gépészmérnöki és Informatikai Kar CY - Miskolc-Egyetemváros SN - 9789633583012 PY - 2023 SP - 1 PG - 1 UR - https://m2.mtmt.hu/api/publication/34127689 ID - 34127689 LA - Hungarian DB - MTMT ER -