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001-es BibID:	BIBFORM135095
035-os BibID:	(Scopus)85219084393
Első szerző:	Bodzás Sándor (okleveles gépészmérnök)
Cím:	Creation of a general mathematical model of Torsen T-2 differential units for kinematical analysis, geometric design and CAD modelling / Bodzás Sándor, Tiba Zsolt
Dátum:	2025
ISSN:	2062-0810 2063-4269
Megjegyzések:	The power can be taken from the ICE crankshaft is a function of the continuously changing adhesion coefficient between the tire and the road surface and the normal force of the wheel. In order to maximize vehicle dynamic performance, Torsen differentials were developed change the power transmission ratio between the wheels or axles depending on the tractive force can be transmitted. The Torsen T-2 differential having internal kinematic ratio i 5 1, can be used both as a front and rear as well as a central differential. The torque ratio between the axles connected via Torsen T-2 differential is ensured by the high internal mechanical friction, can be derived from the axial tooth force component of the helical gear drive applied. The aim of this study is to create a general mathematical model of the Torsen T-2 standard construction. Using this model enables to perform a detailed kinematic analysis of the operation of the entire mechanism. This model will be created by the motion of the gears since coordinate systems are ordered to each moving gears. Based on the Connection I statement the conjugated gear profiles of thegearpairs canbedeterminedbymathematical and computational ways. After that, the CAD models of the gears can be created using 3D software for further finite element analysis. These CAD models are also required for computer-aided manufacturing (CAM) and CNC programming. Weprove the usefulness of the model in the case of creating a concrete geometric facility produced by 3D printing.
Tárgyszavak:	Műszaki tudományok Gépészeti tudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk Torsen gear model surface
Megjelenés:	International Review of Applied Sciences and Engineering. - 16 : 3 (2025), p. 395-407. -
További szerzők:	Tiba Zsolt (1965-) (gépészmérnök)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM130921
035-os BibID:	(Scopus)105008778588
Első szerző:	Kapusi Tibor Péter (mérnökinformatikus, villamosmérnök)
Cím:	Application of image translation-based approach in industrial manufacturing system for object identification / Kapusi Tibor Péter, Erdei Timotei István, Husi Géza, Hajdu András
Dátum:	2025
ISSN:	2062-0810 2063-4269
Megjegyzések:	Older multi-axis industrial robots used in industry do not have the computational power to use neural networks to perform complex manufacturing tasks. Therefore, a method combining 3D CAD modeling with data synthesis has been developed. The pix2pixHD approach allows the synthesis of photo-realistic images to generate datasets. The resulting datasets can be used to train deep learning-based detectors, which can later be applied to improve the object detection accuracy of older machine units. After evaluation of tests with YOLOv3 models, it is shown that only the datasets generated using the synthesized approach can detect an object with high detection accuracy. The generated datasets were also measured using the Complex wavelet structural similarity. The developed innovative method can be a practical and cost-effective strategy for smaller laboratories and small and medium enterprises, thus providing an opportunity to upgrade older machines.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény hazai lapban folyóiratcikk cyber-system image-to-image conveyor deep learning neural network industry 4.0 object detection
Megjelenés:	International Review of Applied Sciences and Engineering. - 17 : 1 (2025), p. 13-23. -
További szerzők:	Erdei Timotei István (1990-) (mechatronikai mérnök) Husi Géza (1962-) (gépészmérnök, mechatronikai mérnök, számítógépes tervezőmérnök) Hajdu András (1973-) (matematikus, informatikus)
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon: