Zobrazeno 1 - 10
of 1 375
pro vyhledávání: '"Cnc machining"'
Publikováno v:
Sustainable Operations and Computers, Vol 5, Iss , Pp 73-87 (2024)
To minimize the quantities of carbon emissions produced by the production process, sustainable manufacturing should be implemented. CNC machining operations can be made more sustainable by optimizing machining parameters to reduce material waste and
Externí odkaz:
https://doaj.org/article/5f6782095ce1417d98a8115de538234e
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract In current five-axis computer numerical control (CNC) machining, the use of minute linear path segments as an approximation for the ideal cutter contacting (CC) point trajectory is still prevalent. However, introducing rotation axes leads to
Externí odkaz:
https://doaj.org/article/7a877605bcbd43e4bae0aabbe45e066a
Publikováno v:
IEEE Access, Vol 12, Pp 105096-105107 (2024)
In a novel application of 1D Convolutional Neural Networks (1D-CNN), this study pioneers a tri-class classification framework for accurately forecasting the Remaining Useful Life (RUL) of milling tools. By harnessing the 1D-CNN’s innate capability
Externí odkaz:
https://doaj.org/article/db3cee96598c42ff999ebc20a0a28f7e
Publikováno v:
Machines, Vol 12, Iss 10, p 740 (2024)
This paper proposes a new algorithm for the automatic generation of toolpaths for machining complex geometric positions, such as molds used in orthosis production. The production of individualized orthoses often requires the use of multi-axis machini
Externí odkaz:
https://doaj.org/article/95d240670f3546b29802e9517e595e5a
Autor:
Zairu Wang
Publikováno v:
Frontiers in Mechanical Engineering, Vol 10 (2024)
In the field of mechanical manufacturing, CNC machining technology plays an important role in improving the precision and efficiency of part processing. However, how to further improve the effect of NC machining by optimizing milling parameters is st
Externí odkaz:
https://doaj.org/article/49883fc9f132444cba7777a296ac4674
Publikováno v:
IEEE Access, Vol 11, Pp 80448-80464 (2023)
Efficient and accurate prediction of tool Remaining Useful Life (RUL) is the key to improve product accuracy, improve work efficiency and reduce machining costs. Aiming at the problems of weak tool wear state features, difficult extraction, and low p
Externí odkaz:
https://doaj.org/article/959f3471a98b4d079b303c1a2df95c9a
Autor:
Sergiy Plankovskyy, Yevgen Tsegelnyk, Oleksandr Pankratov, Tetyana Romanova, Serhiy Maximov, Volodymyr Kombarov
Publikováno v:
Кібернетика та комп'ютерні технології, Iss 4, Pp 33-44 (2022)
Introduction. The optimization placement problem refereed to virtual localization is studied. This problem is motivated by the need to optimize the production of parts from near-net shape blanks using CNC machines. The known algorithms for solving th
Externí odkaz:
https://doaj.org/article/17b0b74ec963490ea7b138ab76086368
Publikováno v:
Journal of Materials Research and Technology, Vol 21, Iss , Pp 450-464 (2022)
This paper process a self-adaptive hybrid remanufacturing process of TC4 blade based on the additive manufacturing and CNC machining. The requirement of mechanical properties of the blade remanufacturing process is firstly introduced. The process flo
Externí odkaz:
https://doaj.org/article/ef4b2327e4334d5c81796612e2942a1d
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