The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material. https://https://oda.uni-obuda.hu:443 2026-09-13T17:19:46Z 2026-09-13T17:19:46Z Rusinko, Andrew H. Alhilfi, Ali http://hdl.handle.net/20.500.14044/40387 2026-09-13T04:43:44Z 2020-01-01T00:00:00Z

Evolution of loading surface in the ultrasonic field Rusinko, Andrew; H. Alhilfi, Ali Horváth, Richárd; Beke, Éva; Stadler, Róbert Gábor This study discusses the evolution of loading surface associated with the phenomena of ultrasonic temporary softening and ultrasonic residual hardening and residual softening registered in the experiments for plastic deformation of aluminum and titanium in the ultrasonic field. The aim is to model these phenomena in terms of the synthetic theory of irrecoverable deformation. We extend the flow rule relationships by two terms based on microstructural processes occurring in ultrasound-assisted deformation.; This study discusses the evolution of loading surface associated with the phenomena of ultrasonic temporary softening and ultrasonic residual hardening and residual softening registered in the experiments for plastic deformation of aluminum and titanium in the ultrasonic field. The aim is to model these phenomena in terms of the synthetic theory of irrecoverable deformation. We extend the flow rule relationships by two terms based on microstructural processes occurring in ultrasound-assisted deformation.

2020-01-01T00:00:00Z Lengyel, Henrietta Szalay, Zsolt http://hdl.handle.net/20.500.14044/40386 2026-09-13T04:43:43Z 2020-01-01T00:00:00Z

Intelligent Driving System effectiveness testing in Highly Automated Vehicles Lengyel, Henrietta; Szalay, Zsolt Horváth, Richárd; Beke, Éva; Stadler, Róbert Gábor The autonomous vehicles will appear on the road as soon as possible in the future. But first, the developers need to think about the highly automated vehicles and conventional vehicles. Because they may conflict with each other during transport, that is why required to use various safety, and security features in environment sensing become increasingly important. These automated functions support the drivers and replace them in specific movements. For the safe ride, the vehicles need to recognize the environment very accurately. The automotive industry can make an environment sensing system safely with a design test scenario in many types of critical tests. There are some advantages and disadvantages of autonomous test types, but it is always useful. This paper demonstrates our test scenario (which is on the ZalaZONE proving ground in Hungary) with three kinds of highly automated vehicles, focus on driver assistance applications such as traffic sign recognition. We provide in this article some examples of the extreme factors, considerations, and roadside anomalies that require testing and validation of sensor systems.; The autonomous vehicles will appear on the road as soon as possible in the future. But first, the developers need to think about the highly automated vehicles and conventional vehicles. Because they may conflict with each other during transport, that is why required to use various safety, and security features in environment sensing become increasingly important. These automated functions support the drivers and replace them in specific movements. For the safe ride, the vehicles need to recognize the environment very accurately. The automotive industry can make an environment sensing system safely with a design test scenario in many types of critical tests. There are some advantages and disadvantages of autonomous test types, but it is always useful. This paper demonstrates our test scenario (which is on the ZalaZONE proving ground in Hungary) with three kinds of highly automated vehicles, focus on driver assistance applications such as traffic sign recognition. We provide in this article some examples of the extreme factors, considerations, and roadside anomalies that require testing and validation of sensor systems.

2020-01-01T00:00:00Z Szűcs, Balázs Ballagi, Áron http://hdl.handle.net/20.500.14044/40385 2026-09-13T04:45:56Z 2020-01-01T00:00:00Z

Challenges of the application of machine learning in the serial production Szűcs, Balázs; Ballagi, Áron Horváth, Richárd; Beke, Éva; Stadler, Róbert Gábor The industrial applications of the machine learning methods have promising results in the field of smart manufacturing and quality assurance; however, the development of these models have challenges. In this paper we present the classical steps of model creation and the challenges and questions of industrial applications in each step, especially for series production. Finally, we present a possible workflow for model development in the manufacturing.; The industrial applications of the machine learning methods have promising results in the field of smart manufacturing and quality assurance; however, the development of these models have challenges. In this paper we present the classical steps of model creation and the challenges and questions of industrial applications in each step, especially for series production. Finally, we present a possible workflow for model development in the manufacturing.

2020-01-01T00:00:00Z Bacs, József Geier, Norbert http://hdl.handle.net/20.500.14044/40384 2026-09-13T04:43:43Z 2020-01-01T00:00:00Z

Inverz posztprocesszor fejlesztése a CAD/CAM/CNC munkafolyamat rugalmasságának növelésére Bacs, József; Geier, Norbert Horváth, Richárd; Beke, Éva; Stadler, Róbert Gábor Ipari környezetben gyakran előforduló nehézséget jelent egy már nem elérhető programozó(rendszer) által írt NC program illesztése valamely, az eredeti programtól jelentősen eltérő logikájú és szintaktikájú vezérlésre. A kutatásunk fő célja egy inverz posztprocesszor kifejlesztése volt, mely algoritmus egy meglévő NC programot szabványos CLDATA nyelvre fordít vissza. A ZW3D szoftver és az ISO 3592:2000 szabvány alapján fejlesztettünk egy rendszerfüggetlen algoritmust NC program inverz posztprocesszálására. Ezen algoritmus alapján C# környezetben felhasználóbarát programot hoztunk létre, melyet 2D-s esztergálási és 2,5D-s marási környezetekben teszteltünk. A kifejlesztett algoritmus időhatékonyan, rugalmasan és biztonságosan használható —a specifikációkban rögzített feltételek mellett— NC program CLDATA programmá való visszaalakítására.; Ipari környezetben gyakran előforduló nehézséget jelent egy már nem elérhető programozó(rendszer) által írt NC program illesztése valamely, az eredeti programtól jelentősen eltérő logikájú és szintaktikájú vezérlésre. A kutatásunk fő célja egy inverz posztprocesszor kifejlesztése volt, mely algoritmus egy meglévő NC programot szabványos CLDATA nyelvre fordít vissza. A ZW3D szoftver és az ISO 3592:2000 szabvány alapján fejlesztettünk egy rendszerfüggetlen algoritmust NC program inverz posztprocesszálására. Ezen algoritmus alapján C# környezetben felhasználóbarát programot hoztunk létre, melyet 2D-s esztergálási és 2,5D-s marási környezetekben teszteltünk. A kifejlesztett algoritmus időhatékonyan, rugalmasan és biztonságosan használható —a specifikációkban rögzített feltételek mellett— NC program CLDATA programmá való visszaalakítására.

2020-01-01T00:00:00Z