Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Dániel Török"'
Autor:
Richárd Dominik Párizs, Dániel Török
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102667- (2024)
Searching for the optimal injection molding settings for a new product usually requires much time and money. This article proposes a new method that uses reinforcement learning with prior knowledge for the optimization of settings. This method uses a
Externí odkaz:
https://doaj.org/article/b11c54960512416cafbf7389dfd7ce72
Publikováno v:
Polymer Testing, Vol 122, Iss , Pp 108014- (2023)
We developed an image processing algorithm and applied it on high-speed camera recordings to characterize the deformation response of three-layered density-graded foam structures subjected to drop weight testing. Different densities (30, 40, 50 and 7
Externí odkaz:
https://doaj.org/article/7363c50d460e45f6a20f78a2d2458970
Publikováno v:
Polymer Testing, Vol 115, Iss , Pp 107759- (2022)
Quality control, which nowadays almost always involves the integration of online measurement methods into the production process, is of paramount importance for injection molding. Online pressure and temperature measurement is already widespread and
Externí odkaz:
https://doaj.org/article/575d1a6a3f2e43fea6ec208cc1b8811d
Publikováno v:
Sensors, Vol 23, Iss 3, p 1735 (2023)
The simultaneous improvement of injection molding process efficiency and product quality, as required by Industry 4.0, is a complex, non-trivial task that requires a comprehensive approach, which involves a combination of sensoring and information te
Externí odkaz:
https://doaj.org/article/67d077e5f1bc44f99adfca73060d0ec3
Publikováno v:
Sensors, Vol 22, Iss 7, p 2704 (2022)
One of the essential requirements of injection molding is to ensure the stable quality of the parts produced. However, numerous processing conditions, which are often interrelated in quite a complex way, make this challenging. Machine learning (ML) a
Externí odkaz:
https://doaj.org/article/11f26ba5fd9f482fa6a6888bef4b039b
Publikováno v:
International Journal of Polymer Science, Vol 2017 (2017)
Appearance is a key factor in most injection molding applications. Unfortunately, there is no widespread method to objectively test visual appearance, such as color inhomogeneity of the parts or other surface defects. We developed an evaluation metho
Externí odkaz:
https://doaj.org/article/09b208f1875c4c82a94b58fa15698d34
Publikováno v:
Periodica Polytechnica Mechanical Engineering. 66:350-360
We have developed a complex Thermoplastic Resin Transfer Molding procedure to create polyamide 6 composites and their multifunctional coatings in a single production cycle with low cycle time. The advantage of the new process is that it has low emiss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f41ad416e833043f1bf6344ddcbf04ee
https://doi.org/10.3311/ppme.21048
https://doi.org/10.3311/ppme.21048
Autor:
Dániel Török, Béla Zink, Tatyana Ageyeva, István Hatos, Martin Zobač, Imre Fekete, Róbert Boros, Hajnalka Hargitai, József Gábor Kovács
Publikováno v:
Journal of Manufacturing Processes. 81:748-758
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f21361d11e7c757d008f2e1e2512f8f
https://doi.org/10.1016/j.jmapro.2022.07.034
https://doi.org/10.1016/j.jmapro.2022.07.034
Publikováno v:
Multidiszciplináris Tudományok. 10:110-118
A roncsolásmentes vizsgálatok napjaink egyik legfontosabb vizsgálati eljárásai közé tartoznak. Egyik legnagyobb előnyük a többi vizsgálathoz képest, hogy folyamatos üzemelés közben is lehetőségünk nyílik a vizsgálat elvégzésére
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::903db66c010e83acb092bf9a15ee87b8
https://doi.org/10.35925/j.multi.2020.1.14
https://doi.org/10.35925/j.multi.2020.1.14
Autor:
Dániel Török, József Gábor Kovács
Publikováno v:
Polymer Engineering & Science. 59:E189-E195
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f564451838d6a0da2191166332d2830
https://doi.org/10.1002/pen.25026
https://doi.org/10.1002/pen.25026