Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Agata Felusiak-Czyryca"'
Autor:
Paweł Twardowski, Maciej Tabaszewski, Agata Felusiak-Czyryca, Piotr Kieruj, Martyna Wiciak-Pikuła, Jakub Czyżycki
Publikováno v:
Advances in Sciences and Technology, Vol 16, Iss 6, Pp 126-139 (2022)
The paper concerns the monitoring of the tool condition on the basis of vibration acceleration signals. The cutting edge condition is determined by wear on the flank surface of the drill. As tools, a twist drills made of cemented carbide were used. A
Externí odkaz:
https://doaj.org/article/bdd5a51b7f9d4f23a82e1661b5aa0fc1
Autor:
Maciej Tabaszewski, Paweł Twardowski, Martyna Wiciak-Pikuła, Natalia Znojkiewicz, Agata Felusiak-Czyryca, Jakub Czyżycki
Publikováno v:
Materials, Vol 15, Iss 12, p 4359 (2022)
The dynamic development of new technologies enables the optimal computer technique choice to improve the required quality in today’s manufacturing industries. One of the methods of improving the determining process is machine learning. This paper c
Externí odkaz:
https://doaj.org/article/f9072e4a36634c769a03b2e05bff1917
Publikováno v:
Materials, Vol 14, Iss 20, p 6010 (2021)
In today’s developing aircraft and automotive industry, extremely durable and wear-resistant materials, especially in high temperatures, are applied. Due to this practical approach, conventional materials have been superseded by composite materials
Externí odkaz:
https://doaj.org/article/74dd6aaf4f2849618e312a95d222ccf1
Publikováno v:
Materials, Vol 14, Iss 20, p 6152 (2021)
Inconel 718 is a material often used in the aerospace and marine industries due to its properties and ability to work in harsh environments. However, its machining is difficult, and therefore methods are sought to facilitate this process. One of such
Externí odkaz:
https://doaj.org/article/8787b250ef984e398a6d0ce1ca5df3ec
Publikováno v:
Sensors, Vol 20, Iss 20, p 5798 (2020)
This article deals with the phenomenon of tool wear prediction in face milling of aluminum matrix composite materials (AMC), class as hard-to-cut materials. Artificial neural networks (ANN) are one of the tools used to predict tool wear or surface ro
Externí odkaz:
https://doaj.org/article/4e96a55d704b4b83a8560af2c2efd5f7
Autor:
Paweł Twardowski, Jakub Czyżycki, Agata Felusiak-Czyryca, Maciej Tabaszewski, Martyna Wiciak-Pikuła
Publikováno v:
Journal of Manufacturing Processes. 95:342-350
Publikováno v:
Precision Engineering. 72:738-744
The work concerns the monitoring of the edge condition based on acoustic emission (AE) signals. The tool edge condition was determined by the wear width on the flank face. The processed material was an aluminum-ceramic composite containing 10% SiC. A
Publikováno v:
Materials, Vol 14, Iss 6010, p 6010 (2021)
Materials
Volume 14
Issue 20
Materials
Volume 14
Issue 20
In today’s developing aircraft and automotive industry, extremely durable and wear-resistant materials, especially in high temperatures, are applied. Due to this practical approach, conventional materials have been superseded by composite materials
Publikováno v:
Materials, Vol 14, Iss 6152, p 6152 (2021)
Materials
Volume 14
Issue 20
Materials
Volume 14
Issue 20
Inconel 718 is a material often used in the aerospace and marine industries due to its properties and ability to work in harsh environments. However, its machining is difficult, and therefore methods are sought to facilitate this process. One of such