@CONFERENCE{MTMT:34833141,
	title = {Spirálszerű szerszámpályák tervezése nagyoló maráshoz Lamé görbék alkalmazásával. Spiral tool path generation for rough milling using Lamé curves},
	url = {https://m2.mtmt.hu/api/publication/34833141},
	author = {Tancsa, Viktor and Jacsó, Ádám and Póka, György},
	booktitle = {OGÉT 2024 - XXXII. Nemzetközi Gépészeti Konferencia},
	unique-id = {34833141},
	abstract = {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.},
	year = {2024},
	pages = {425-428},
	orcid-numbers = {Jacsó, Ádám/0000-0001-8247-2332; Póka, György/0000-0002-7585-986X}
}

@CONFERENCE{MTMT:34833105,
	title = {A dinamikus marási szerszámpályák hatékonyságának növelése az összekötő mozgások optimalizálásával. Increasing the efficiency of dynamic milling tool paths by optimizing the linking movements},
	url = {https://m2.mtmt.hu/api/publication/34833105},
	author = {Jacsó, Ádám and Tancsa, Viktor and Tóth-Molnár, Gellért},
	booktitle = {OGÉT 2024 - XXXII. Nemzetközi Gépészeti Konferencia},
	unique-id = {34833105},
	abstract = {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.},
	year = {2024},
	pages = {165-168},
	orcid-numbers = {Jacsó, Ádám/0000-0001-8247-2332}
}

@{MTMT:34022109,
	title = {Introduction to MEMS and Microfluidics},
	url = {https://m2.mtmt.hu/api/publication/34022109},
	author = {Singh, Rajeev Kumar and Phanden, Rakesh Kumar and Jacsó, Ádám and Gupta, Ankur},
	booktitle = {Advances in MEMS and Microfluidic Systems},
	doi = {10.4018/978-1-6684-6952-1.ch001},
	unique-id = {34022109},
	abstract = {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.},
	year = {2023},
	pages = {1-10},
	orcid-numbers = {Jacsó, Ádám/0000-0001-8247-2332; Gupta, Ankur/0000-0001-7855-2145}
}

@article{MTMT:33834311,
	title = {Investigation of conventional and ANN-based feed rate scheduling methods in trochoidal milling with cutting force and acceleration constraints},
	url = {https://m2.mtmt.hu/api/publication/33834311},
	author = {Jacsó, Ádám and Szalay, Tibor and Sikarwar, Basant Singh and Phanden, Rakesh Kumar and Singh, Rajeev Kumar and Ramkumar, Janakarajan},
	doi = {10.1007/s00170-023-11506-x},
	journal-iso = {INT J ADV MANUFACT TECHNOL},
	journal = {INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY},
	volume = {127},
	unique-id = {33834311},
	issn = {0268-3768},
	abstract = {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.},
	year = {2023},
	eissn = {1433-3015},
	pages = {487-506},
	orcid-numbers = {Jacsó, Ádám/0000-0001-8247-2332; Szalay, Tibor/0000-0003-3446-2898}
}

@article{MTMT:33539414,
	title = {Bézier curve-based trochoidal tool path optimization using stochastic hill climbing algorithm},
	url = {https://m2.mtmt.hu/api/publication/33539414},
	author = {Jacsó, Ádám and Ladó, Zoltán and Phanden, Rakesh Kumar and Sikarwar, Basant Singh and Singh, Rajeev Kumar},
	doi = {10.1016/j.matpr.2022.12.056},
	journal-iso = {MATER TOD PROC},
	journal = {MATERIALS TODAY: PROCEEDINGS},
	volume = {78},
	unique-id = {33539414},
	issn = {2214-7853},
	abstract = {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.},
	keywords = {Bézier curves; cutter engagement; Tool path optimization; trochoidal milling; stochastic hill climbing},
	year = {2023},
	pages = {633-639},
	orcid-numbers = {Jacsó, Ádám/0000-0001-8247-2332; Ladó, Zoltán/0000-0003-0942-8946}
}

@article{MTMT:32915679,
	title = {Optimisation of tool path shape in trochoidal milling using B-spline curves},
	url = {https://m2.mtmt.hu/api/publication/32915679},
	author = {Jacsó, Ádám and Sikarwar, Basant Singh and Phanden, Rakesh Kumar and Singh, Rajeev Kumar and Ramkumar, Janakarajan and Sahu, Govind N.},
	doi = {10.1007/s00170-022-09527-z},
	journal-iso = {INT J ADV MANUFACT TECHNOL},
	journal = {INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY},
	volume = {121},
	unique-id = {32915679},
	issn = {0268-3768},
	keywords = {B-spline curve; Differential Evolution; Material removal rate; cutter engagement; Tool path optimization; trochoidal milling},
	year = {2022},
	eissn = {1433-3015},
	pages = {3801-3816},
	orcid-numbers = {Jacsó, Ádám/0000-0001-8247-2332}
}

@article{MTMT:32897330,
	title = {A method to predict drilling-induced burr occurrence in chopped carbon fibre reinforced polymer (CFRP) composites based on digital image processing},
	url = {https://m2.mtmt.hu/api/publication/32897330},
	author = {Geier, Norbert and Póka, György and Jacsó, Ádám and Pereszlai, Csongor},
	doi = {10.1016/j.compositesb.2022.110054},
	journal-iso = {COMPOS PART B-ENG},
	journal = {COMPOSITES PART B-ENGINEERING},
	volume = {242},
	unique-id = {32897330},
	issn = {1359-8368},
	abstract = {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.},
	year = {2022},
	eissn = {1879-1069},
	orcid-numbers = {Geier, Norbert/0000-0001-7937-7246; Póka, György/0000-0002-7585-986X; Jacsó, Ádám/0000-0001-8247-2332; Pereszlai, Csongor/0000-0002-2336-6457}
}

@inproceedings{MTMT:32797003,
	title = {Trochoidális szerszámpályák tervezése Bézier-görbék alkalmazásával. Trochoidal tool path planning by using Bézier curves},
	url = {https://m2.mtmt.hu/api/publication/32797003},
	author = {Jacsó, Ádám and Ladó, Zoltán},
	booktitle = {XXX. Nemzetközi Gépészeti Konferencia - OGÉT 2022},
	unique-id = {32797003},
	abstract = {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.},
	year = {2022},
	pages = {53-56},
	orcid-numbers = {Jacsó, Ádám/0000-0001-8247-2332; Ladó, Zoltán/0000-0003-0942-8946}
}

@inproceedings{MTMT:32794446,
	title = {Trochoidális marás alkalmazása edzett acél mikromegmunkálása esetén},
	url = {https://m2.mtmt.hu/api/publication/32794446},
	author = {Balázs, Barnabás Zoltán and Jacsó, Ádám and Takács, Márton},
	booktitle = {XXX. Nemzetközi Gépészeti Konferencia - OGÉT 2022},
	unique-id = {32794446},
	year = {2022},
	pages = {355-358},
	orcid-numbers = {Balázs, Barnabás Zoltán/0000-0001-5235-1388; Jacsó, Ádám/0000-0001-8247-2332; Takács, Márton/0000-0001-6882-1540}
}

@article{MTMT:32572411,
	title = {A state-of-the-art review on implementation of digital twin in additive manufacturing to monitor and control parts quality},
	url = {https://m2.mtmt.hu/api/publication/32572411},
	author = {Phanden, Rakesh Kumar and Aditya, S.V. and Sheokand, Aaryan and Goyal, Kapil Kumar and Gahlot, Pardeep and Jacsó, Ádám},
	doi = {10.1016/j.matpr.2021.12.217},
	journal-iso = {MATER TOD PROC},
	journal = {MATERIALS TODAY: PROCEEDINGS},
	volume = {56},
	unique-id = {32572411},
	issn = {2214-7853},
	abstract = {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.},
	keywords = {Additive manufacturing; digital twin; parts quality monitoring},
	year = {2022},
	pages = {88-93},
	orcid-numbers = {Jacsó, Ádám/0000-0001-8247-2332}
}