Zobrazeno 1 - 10
of 280
pro vyhledávání: '"mechanical assembly"'
Autor:
A. V. Nazaryev, P. Yu. Bochkarev
Publikováno v:
Advanced Engineering Research, Vol 24, Iss 1, Pp 66-77 (2024)
Introduction. The problem of improving the manufacturing of high-precision products is currently becoming a key one, since the requirements for them are constantly being tightened. Maintaining assembly quality and accuracy is an important aspect of m
Externí odkaz:
https://doaj.org/article/868698e413394d14a3fbaf0bb6a6748d
Publikováno v:
Assembly Automation, 2022, Vol. 42, Issue 6, pp. 835-850.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AA-11-2021-0155
Publikováno v:
IEEE Access, Vol 11, Pp 41467-41479 (2023)
Semantic segmentation of mechanical assembly images provides an effective way to monitor the assembly process and improve the product quality. Compared with other deep learning models, Transformer has advantages in modeling global context, and it has
Externí odkaz:
https://doaj.org/article/9b08cbe781c94d909b2bfeea96ddcba8
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Dimensional Variation Analysis for Rigid Part Assembly With an Improvement of Monte Carlo Simulation
Publikováno v:
IEEE Access, Vol 8, Pp 5862-5872 (2020)
Dimensional variation has significant effect on the quality of product. Recently, Monte Carlo (MC) simulation is widely used in dimensional variation analysis, with high accuracy and adaptability, but there is the problem of low computational efficie
Externí odkaz:
https://doaj.org/article/b2dbe5ba277d471fbd2ed5faf2e07d74
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
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
Autor:
Khodaygan, S., Ghaderi, A.
Publikováno v:
Assembly Automation, 2019, Vol. 39, Issue 5, pp. 769-782.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AA-06-2018-081
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 37, Iss 1, Pp 143-151 (2019)
To improve the robustness and applicability of 3D tracking and registration for augmented reality(AR) aided mechanical assembly system, a 3D registration and tracking method based on the point cloud and visual features is proposed. Firstly, the refer
Externí odkaz:
https://doaj.org/article/1de8678f9ea34f1b8bd46b735be0758c
Autor:
Won Gyu Kim, Kang Hoon Lee
Publikováno v:
Mathematics, Vol 10, Iss 8, p 1232 (2022)
Due to the maker movement and 3D printers, people nowadays can directly fabricate mechanical devices that meet their own objectives. However, it is not intuitive to identify the relationship between specific mechanical movements and mechanical struct
Externí odkaz:
https://doaj.org/article/d644ca27f4184a7d8d7896220d825626