Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Marcin Suszyński"'
Publikováno v:
Zeszyty Naukowe Małopolskiej Wyższej Szkoły Ekonomicznej w Tarnowie, Vol 48, Iss 4, Pp 133-145 (2021)
Terms such as Industry 4.0, Logistics 4.0, smart factory, smart logisticsas well as digitalization can nowadays be regarded as keywords in both scientific and economic practice. What is taking place at the moment is the beginning of the fourth indust
Externí odkaz:
https://doaj.org/article/18c6da6ebd304f12935fa9918463d35f
Publikováno v:
Sensors, Vol 23, Iss 3, p 1629 (2023)
This article deals with the design of a methodology for vibration and noise measurement on a six-axis collaborative robotic arm. A vibration and noise measurement methodology is proposed for six robot positions. In each position, measurements were pe
Externí odkaz:
https://doaj.org/article/70a5de652ce54a068144d0651281f241
Publikováno v:
Zeszyty Naukowe Małopolskiej Wyższej Szkoły Ekonomicznej w Tarnowie, Vol 48, Iss 4, Pp 121-131 (2020)
Over the years industrial robots had been used for numerous of repeatable tasks in different fields of industry, especially in automotive. Due to the safety reasons, robotized working stations had to be isolated by safety cell. Nowadays we can observ
Externí odkaz:
https://doaj.org/article/c69dce952b5e4197b173b54e05cf7e3c
Autor:
Marcin Suszyński, Artur Meller, Katarzyna Peta, Marek Trączyński, Marcin Butlewski, Frantisek Klimenda
Publikováno v:
Applied Sciences, Vol 12, Iss 21, p 11160 (2022)
The proposed model of the neural network (NN) describes the optimization task of the water meter body assembly process, based on 18 selected production parameters. The aim of this network was to obtain a certain value of radial runout after the assem
Externí odkaz:
https://doaj.org/article/3edd85d7cfc04f75a02455d917c1cd4c
Publikováno v:
Manufacturing Technology. 23:88-98
Publikováno v:
Symmetry, Vol 14, Iss 5, p 1013 (2022)
In this paper, an assembly sequence planning system, based on artificial neural networks, is developed. The problem of artificial neural network itself is largely related to symmetry at every stage of its creation. A new modeling scheme, known as art
Externí odkaz:
https://doaj.org/article/5589728f818c4d5fbb56f86cb170ab73
Publikováno v:
Tehnički Vjesnik, Vol 25, Iss 3, Pp 904-909 (2018)
The paper shows the clamp-less assembly idea as a very important one in the modern assembly. Assembly equipment such as clamps represent a significant group of industrial equipment in manufacturing plants whose number can be effectively reduced. The
Externí odkaz:
https://doaj.org/article/ca6d1ccddbcb4f24b3d068552bcf3f85
Autor:
Marcin Suszyński, Katarzyna Peta
Publikováno v:
Applied Sciences, Vol 11, Iss 21, p 10414 (2021)
The proposed model of the neural network describes the task of planning the assembly sequence on the basis of predicting the optimal assembly time of mechanical parts. In the proposed neural approach, the k-means clustering algorithm is used. In orde
Externí odkaz:
https://doaj.org/article/0dbe4c5ebfe34499ace77773711ef69b
Publikováno v:
Materials, Vol 14, Iss 21, p 6301 (2021)
This article presents the results of tests conducted as part of a research project with the primary objective of developing new copper alloys with limited lead content. The new group of materials were created in a production plant. As part of tests,
Externí odkaz:
https://doaj.org/article/21ffe0c495244906945baf0ff76efea6
Autor:
Martin Svoboda, Milan Chalupa, Karel Jelen, František Lopot, Petr Kubový, Milan Sapieta, Zdeněk Krobot, Marcin Suszyński
Publikováno v:
Sensors, Vol 21, Iss 11, p 3849 (2021)
The article deals with the measurement of dynamic effects that are transmitted to the driver (passenger) when driving in a car over obstacles. The measurements were performed in a real environment on a defined track at different driving speeds and di
Externí odkaz:
https://doaj.org/article/0405bfb470204ff09ab047adb1474d9b