TY - CONF AU - Tancsa, Viktor AU - Jacsó, Ádám AU - Póka, György TI - Spirálszerű szerszámpályák tervezése nagyoló maráshoz Lamé görbék alkalmazásával. Spiral tool path generation for rough milling using Lamé curves TS - Spiral tool path generation for rough milling using Lamé curves 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 - 425 EP - 428 PG - 4 UR - https://m2.mtmt.hu/api/publication/34833141 ID - 34833141 AB - A nagysebességű megmunkálási technológiák szigorú követelményeket támasztanak a szerszámpályákat létrehozó algoritmusok felé. A pálya görbületének és a kontaktszög folytonosságának optimálása a minél egyenletesebb szerszámterhelés elérése érdekében általában összetett feladat. Az évek során erre számtalan megoldást fejlesztettek a matematika és a geometria legkülönbözőbb módszereinek felhasználásával. Ebben a cikkben egy olyan eljárás kerül bemutatásra, mely a Lamé görbék spirállá alakításával egy kompakt egyenlet formájában nyújt hatékony megoldást a pályagenerálásnál felmerülő problémákra. High-speed machining technologies impose strict requirements on tool path generation algorithms. Optimizing tool path curvature and cutter engagement continuity to achieve a uniform tool load is usually complex. Over the past years, countless approaches have been developed to solve this task using various mathematical and geometrical methods. This paper introduces a new technique that converts Lamé curves into spirals, providing an efficient solution in a simplified equation format to the challenges arising in tool path generation. LA - Hungarian DB - MTMT ER - TY - CONF AU - Jacsó, Ádám AU - Tancsa, Viktor AU - Tóth-Molnár, Gellért TI - A dinamikus marási szerszámpályák hatékonyságának növelése az összekötő mozgások optimalizálásával. Increasing the efficiency of dynamic milling tool paths by optimizing the linking movements TS - Increasing the efficiency of dynamic milling tool paths by optimizing the linking movements 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 - 165 EP - 168 PG - 4 UR - https://m2.mtmt.hu/api/publication/34833105 ID - 34833105 AB - Az elmúlt két évtizedben a nagyoló forgácsolási műveletek látványos fejlődésen mentek keresztül a dinamikus marási stratégiák megjelenésének köszönhetően. A korszerű CAM rendszerek összetett geometriai számítások révén képesek olyan szerszámpályákat létrehozni, amelyek biztosítják a dinamikus marásnál létfontosságú egyenletes szerszámterhelést és folytonos pályagörbületet, ugyanakkor az összekötő mozgások optimalizálására nem fektetnek kellő hangsúlyt. A cikkben egy olyan algoritmus kerül bemutatásra, amely ezen mellékmozgások finomításával lehetővé teszi a megmunkálási idő jelentős csökkenését a szerszám éltartamának megőrzése mellett. Over the past two decades, rough milling operations have been developing remarkably, thanks to the emergence of dynamic milling strategies. Through complex geometric calculations, modern CAM systems can create tool paths that ensure uniform tool load and continuous path curvature, which are essential in dynamic milling, but at the same time, they do not emphasise optimising the linking movements. The paper presents a method that can significantly reduce machining time by refining linking movements while preserving tool life. LA - Hungarian DB - MTMT ER - TY - CHAP AU - Singh, Rajeev Kumar AU - Phanden, Rakesh Kumar AU - Jacsó, Ádám AU - Gupta, Ankur ED - Davim, J. Paulo ED - Sikarwar, Basant Singh ED - Phanden, Rakesh Kumar ED - Singh, Rajeev Kumar TI - Introduction to MEMS and Microfluidics T2 - Advances in MEMS and Microfluidic Systems PB - IGI Global CY - Hershey (PA) SN - 9781668469545 T3 - Advances in Mechatronics and Mechanical Engineering, ISSN 2328-8205 PY - 2023 SP - 1 EP - 10 PG - 10 DO - 10.4018/978-1-6684-6952-1.ch001 UR - https://m2.mtmt.hu/api/publication/34022109 ID - 34022109 N1 - Department of Mechanical Engineering, Amity University, Noida, India Budapest University of Technology and Economics, Hungary Indian Institute of Technology, Jodhpur, India Export Date: 14 August 2023 AB - Microelectromechanical systems (MEMS) refer to systems with characteristic length ranging between 1 µm and 1 mm, fabricated by integrated circuits batch processing technologies and unite mechanical and electrical components. MEMS devices and systems have wide applications in multifarious medical and industrial applications with worldwide market of billions of dollars. Examples of MEMS devices are accelerometers for automobile airbags; micropumps for inkjet printing, electronic cooling, and environmental testing; infrared detectors, digital light processing chip for projection display, etc. Microfluidics refers to fluid flow at a small size scale that causes change in fluid behavior. Microfluidic devices/systems handle a small quantity (micro- or nanoliter) of fluids (liquid or gas). The major application for handling fluids in microfluidics relates to chemical and biomedical analyses. The benefit of application of microfluidics in chemical and biomedical analysis is that they provide a total solution from sample utilization to display of analytical results. LA - English DB - MTMT ER - TY - JOUR AU - Jacsó, Ádám AU - Szalay, Tibor AU - Sikarwar, Basant Singh AU - Phanden, Rakesh Kumar AU - Singh, Rajeev Kumar AU - Ramkumar, Janakarajan TI - Investigation of conventional and ANN-based feed rate scheduling methods in trochoidal milling with cutting force and acceleration constraints JF - INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY J2 - INT J ADV MANUFACT TECHNOL VL - 127 PY - 2023 SP - 487 EP - 506 PG - 20 SN - 0268-3768 DO - 10.1007/s00170-023-11506-x UR - https://m2.mtmt.hu/api/publication/33834311 ID - 33834311 N1 - Funding Agency and Grant Number: Budapest University of Technology and Economics; NRDI Fund (TKP2020 NC) under Ministry for Innovation and Technology [BME-NC]; European Commission [739592]; Hungarian National Research, Development and Innovation Office (NKFIH) [20171.3.1-VKE-201700029]; Hungarian State Eoetvoes Scholarship Funding text: Open access funding provided by Budapest University of Technology and Economics. The research reported in this paper and carried out at BME has been supported by the NRDI Fund (TKP2020 NC, Grant No. BME-NC) based on the charter of bolster issued by the NRDI Office under the auspices of the Ministry for Innovation and Technology. The work for this paper was supported by the European Commission through the H2020 project EPIC under grant No. 739592, the 2017-1.3.1-VKE-2017-00029 grant of the Hungarian National Research, Development and Innovation Office (NKFIH), and the Hungarian State Eoetvoes Scholarship. AB - In CNC milling, the feed rate scheduling is a frequently used method to increase machining quality and efficiency. Among the benefits of feed rate scheduling, this paper focuses on controlling the tool load and optimizing the machining time. Although the advantages of feed rate scheduling are undeniable, some areas remain still to be addressed. In order to control the tool load, geometric methods are often used, which are based on keeping a specific parameter, such as chip thickness or material removal rate (MRR) constant. However, a high level of tool load control can only be provided if cutting force models or experimental-based techniques are used. Besides traditional methods, this paper presents an artificial neural network (ANN)-based feed rate scheduling method to keep the tool load constant, using data gained by preliminary cutting experiments. A case study demonstrates that a significantly higher level of tool load control can be achieved with this method as compared to the geometric models. Besides controlling the tool load, the present feed rate scheduling method also addresses the consideration of acceleration limits which is of great importance for practical uses. The application of feed rate scheduling in trochoidal milling is also discussed in detail in this paper. This area has not received enough attention, as due to the limited fluctuation of cutter engagement, the tool load was considered as well-controlled. However, experiments have shown that in the case of trochoidal milling, the introduction of feed rate scheduling can still further increase the machining efficiency. Using the developed ANN-based feed rate scheduling method, significant progress could be made as compared to conventional technologies in controlling the cutting force and optimizing the machining time. In the present case study, a reduction of 50% in machining time was achievable by adjusting the feed rate without increasing the peak value of cutting force. LA - English DB - MTMT ER - TY - JOUR AU - Jacsó, Ádám AU - Ladó, Zoltán AU - Phanden, Rakesh Kumar AU - Sikarwar, Basant Singh AU - Singh, Rajeev Kumar TI - Bézier curve-based trochoidal tool path optimization using stochastic hill climbing algorithm JF - MATERIALS TODAY: PROCEEDINGS J2 - MATER TOD PROC VL - 78 PY - 2023 IS - Part 3 SP - 633 EP - 639 PG - 7 SN - 2214-7853 DO - 10.1016/j.matpr.2022.12.056 UR - https://m2.mtmt.hu/api/publication/33539414 ID - 33539414 N1 - Department of Manufacturing Sciences and Engineering, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Budapest, Hungary Department of Mechanical Engineering, Amity School of Engineering & Technology, Amity University, Uttar Pradesh, Noida, India Correspondence Address: Jacso, A.; Department of Manufacturing Sciences and Engineering, Hungary; email: jacso.adam@gpk.bme.hu AB - Trochoidal milling is a widely used technique in high-speed machining. In the recent period, several theoretical and experimental studies have been performed to analyze the cutting process in trochoidal milling of slot-like geometries. However, these works typically focused only on cycloid- and circular-shaped trochoidal strategies and did not consider the possibilities of path shape optimization. This is because optimizing the trochoidal tool path is a double challenge: (1) modelling of material removal process is necessary to satisfy the geometrical and technological conditions, and (2) the relationship between tool path shape and machining efficiency is highly complex; therefore, direct optimization solutions cannot be applied. This paper presents a new Bézier curve-based tool path modelling technique and a new stochastic hill climbing algorithm-based optimization method to increase the efficiency of trochoidal strategy. During the tool path shape optimization, the limiting factors of cutter engagement and path curvature radius were also considered to meet the criteria of high-speed machining. The simulation experiments proved that the machining efficiency could be increased significantly by optimizing the trochoidal tool path by up to 40%, compared to the traditional cycloid strategy. The cutting experiments verified that the tool load remained well controlled, and productivity could be improved without increasing the tool load. The paper also discusses the appropriate settings to ensure the best functioning of the stochastic hill climbing algorithm. The industrial application of the developed algorithm can result in significant cost, energy and time savings for manufacturers when machining slot-like geometries. LA - English DB - MTMT ER - TY - JOUR AU - Jacsó, Ádám AU - Sikarwar, Basant Singh AU - Phanden, Rakesh Kumar AU - Singh, Rajeev Kumar AU - Ramkumar, Janakarajan AU - Sahu, Govind N. TI - Optimisation of tool path shape in trochoidal milling using B-spline curves JF - INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY J2 - INT J ADV MANUFACT TECHNOL VL - 121 PY - 2022 SP - 3801 EP - 3816 PG - 16 SN - 0268-3768 DO - 10.1007/s00170-022-09527-z UR - https://m2.mtmt.hu/api/publication/32915679 ID - 32915679 N1 - Funding Agency and Grant Number: Budapest University of Technology and Economics; NRDI Fund [BME-NC]; Ministry for Innovation and Technology; European Commission [739592]; Hungarian National Research, Development and Innovation Office (NKFIH) [2017-1.3.1-VKE-2017-00029]; Hungarian State Eotvos Scholarship Funding text: Open access funding provided by Budapest University of Technology and Economics. The research reported in this paper and carried out at BME has been supported by the NRDI Fund (TKP2020 NC, grant no. BME-NC) based on the charter of bolster issued by the NRDI Office under the auspices of the Ministry for Innovation and Technology. Work for this paper was supported by the European Commission through the H2020 project EPIC under grant no. 739592, the 2017-1.3.1-VKE-2017-00029 grant of the Hungarian National Research, Development and Innovation Office (NKFIH), and the Hungarian State Eotvos Scholarship. LA - English DB - MTMT ER - TY - JOUR AU - Geier, Norbert AU - Póka, György AU - Jacsó, Ádám AU - Pereszlai, Csongor TI - A method to predict drilling-induced burr occurrence in chopped carbon fibre reinforced polymer (CFRP) composites based on digital image processing JF - COMPOSITES PART B-ENGINEERING J2 - COMPOS PART B-ENG VL - 242 PY - 2022 PG - 9 SN - 1359-8368 DO - 10.1016/j.compositesb.2022.110054 UR - https://m2.mtmt.hu/api/publication/32897330 ID - 32897330 N1 - Export Date: 4 August 2022 CODEN: CPBEF Correspondence Address: Geier, N.; Budapest University of Technology and Economics, Műegyetem rkp. 3, Hungary; email: geier.norbert@gpk.bme.hu AB - Mechanical drilling-induced burr in carbon fibre reinforced polymer (CFRP) composites is one of the most significant macro-geometrical failures of CFRP composites; nevertheless, burr prediction in quasi-randomly oriented chopped fibre reinforced composites is not supported yet. To explore this issue, the main aim of the present research work was to develop a method to predict drilling-induced burrs in chopped CFRPs based on digital image processing. First, an indexable light source captured digital images of a chopped CFRP plate in different lighting conditions. Then, the fibre orientation of each visible chopped fibre group was determined in each image through digital image processing algorithms. These images were then associated based on the superposition principle. Finally, the burr-dangerous regions were predicted by the local properties of chopped fibres. The prediction accuracy of the algorithm is tested by drilling experiments in chopped CFRP plates using solid carbide drills. The experimental results show that the mechanical drilling-induced burr prediction accuracy is 64–97%. By applying the proposed method, burrs can be estimated without machining experiments in chopped CFRPs. LA - English DB - MTMT ER - TY - CHAP AU - Jacsó, Ádám AU - Ladó, Zoltán ED - Barabás, István TI - Trochoidális szerszámpályák tervezése Bézier-görbék alkalmazásával. Trochoidal tool path planning by using Bézier curves TS - Trochoidal tool path planning by using Bézier curves T2 - XXX. Nemzetközi Gépészeti Konferencia - OGÉT 2022 PB - Erdélyi Magyar Műszaki Tudományos Társaság (EMT) C1 - Kolozsvár T3 - Nemzetközi Gépészeti Találkozó (OGÉT), ISSN 2068-1267 ; 30. PY - 2022 SP - 53 EP - 56 PG - 4 UR - https://m2.mtmt.hu/api/publication/32797003 ID - 32797003 AB - A trochoidális marási technológia rendkívül hatékonyan alkalmazható a horonyszerű alaksajátosságok nagysebességű megmunkálására. Az elmúlt évtizedekben számos tanulmány született a hagyományos pályaalakok kísérleti és elméleti vizsgálatával kapcsolatosan, azonban a probléma komplexitása miatt kevés figyelem fordult a pálya alakjának optimalizálására. A cikkben egy olyan Bézier-görbe alapú új szerszámpálya modellezési technika kerül bemutatásra, amely segítségével a nagysebességű megmunkálás követelményeinek kielégítése mellett lehetőség nyílik a termelékenység adott szerszámterhelés melletti maximalizálására is. LA - Hungarian DB - MTMT ER - TY - CHAP AU - Balázs, Barnabás Zoltán AU - Jacsó, Ádám AU - Takács, Márton ED - Barabás, István TI - Trochoidális marás alkalmazása edzett acél mikromegmunkálása esetén T2 - XXX. Nemzetközi Gépészeti Konferencia - OGÉT 2022 PB - Erdélyi Magyar Műszaki Tudományos Társaság (EMT) C1 - Kolozsvár T3 - Nemzetközi Gépészeti Találkozó (OGÉT), ISSN 2068-1267 ; 30. PY - 2022 SP - 355 EP - 358 PG - 4 UR - https://m2.mtmt.hu/api/publication/32794446 ID - 32794446 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Phanden, Rakesh Kumar AU - Aditya, S.V. AU - Sheokand, Aaryan AU - Goyal, Kapil Kumar AU - Gahlot, Pardeep AU - Jacsó, Ádám TI - A state-of-the-art review on implementation of digital twin in additive manufacturing to monitor and control parts quality JF - MATERIALS TODAY: PROCEEDINGS J2 - MATER TOD PROC VL - 56 PY - 2022 SP - 88 EP - 93 PG - 6 SN - 2214-7853 DO - 10.1016/j.matpr.2021.12.217 UR - https://m2.mtmt.hu/api/publication/32572411 ID - 32572411 AB - Both, Additive Manufacturing (AM) and Digital Twin (DT) are emerging technologies. DT is helping AM in process simulation, monitoring and controlling as well as to develop insights on process parameters relation to achieve high parts quality. Therefore, the implementation of DT technology in AM is highly desirable and fruitful. In the current state, DT application on AM has been explored by various researchers for education, manufacturing, maintenance and quality area from the theoretical and practical viewpoints. This paper presents the state-of-the-art literature review on the implementation of DT in AM to monitor and control the parts quality from theoretical and practical viewpoints. Based on the literature, a representation scheme has been extracted to implement DT in AM successfully, and various future research directions are given. LA - English DB - MTMT ER -