Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Katarzyna Peta"'
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:
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
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:
Crystals, Vol 11, Iss 11, p 1371 (2021)
The aim of this study is first to determine the effect of the discharge energy on the surface microgeometry of aluminum samples created by electrical discharge machining (EDM). Secondly, an additional purpose is to demonstrate the differences between
Externí odkaz:
https://doaj.org/article/ded7bb7b649541ea9e3a47c22f3b01ad
Publikováno v:
Symmetry; Volume 14; Issue 5; Pages: 1013
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
Autor:
Katarzyna Peta, Marcin Suszyński
Publikováno v:
Applied Sciences, Vol 11, Iss 10414, p 10414 (2021)
Applied Sciences
Volume 11
Issue 21
Applied Sciences
Volume 11
Issue 21
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
Publikováno v:
Tribology International. 163:107139
The objective of this work is to investigate the relationship between wettability and surface microgeometry of 6060 aluminum alloy created by electric discharge machining (EDM). The analyzes are enriched with the calculation of the correlation streng
Publikováno v:
INŻYNIERIA MATERIAŁOWA. 1:4-7
Autor:
Karol Grochalski, Katarzyna Peta
Publikováno v:
Archives of Mechanical Technology and Materials, Vol 37, Iss 1, Pp 41-44 (2017)
Article presents the methods of detecting defects within material with the use of active infrared thermovision. During the study ABS and PVC samples were used inside which internal structure defects and defects of glue conjunction between components
Publikováno v:
Archives of Mechanical Technology and Materials, Vol 37, Iss 1, Pp 45-49 (2017)
In the work, the most important factors which influence on the exploitative durability of heat exchangers are classified. Particular attention was paid to the compounds of sodium chloride used in the winter season for road maintenance. In order to de