Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Sanjeev Bedi"'
Publikováno v:
Advances in Mechanical Engineering, Vol 7 (2015)
In 3½½-axis machining, the machined part surface is partitioned in pre-processing in order to calculate the tool position and patch boundaries and then machined in patches, thereby minimizing the intermediate manual part re-positioning and the over
Externí odkaz:
https://doaj.org/article/ceb13bb028b8415bb8145144990ad0ed
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 4, Iss 1, Pp 14-18 (2006)
In the traditional paradigm for Computer Numerical Control (CNC) machining, tool paths are programmed offline from the CNC machine using the Computer-Aided Design (CAD) model of the workpiece. The program is downloaded to the CNC controller and the p
Externí odkaz:
https://doaj.org/article/dca0bca87e4640a7a05d410a7850e900
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 122:2887-2898
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3371f9af96eee15baedb88f1ed7f0ecc
https://doi.org/10.1007/s00170-022-10004-w
https://doi.org/10.1007/s00170-022-10004-w
Publikováno v:
CAD'23.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2485e8931dfde0c4461992a29cc2fd0a
https://doi.org/10.14733/cadconfp.2023.206-210
https://doi.org/10.14733/cadconfp.2023.206-210
There is a growing interest in developing automated manufacturing technologies to achieve a fully autonomous factory. An integral part of these smart machines is a mechanism to automatically detect operational and process anomalies before they cause
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7548a21a97edc1a7085740f14e0fdb7b
https://doi.org/10.21203/rs.3.rs-2310302/v1
https://doi.org/10.21203/rs.3.rs-2310302/v1
Publikováno v:
Proceedings of the Canadian Engineering Education Association (CEEA).
This paper describes a project with common equipment that was adapted and offered to both an undergraduate and a graduate-level course with learning outcomes tailored specifically to each group of students. This project is an immersive, multi-discipl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::537507024861bfab80b1736e596f063d
https://doi.org/10.24908/pceea.vi.15908
https://doi.org/10.24908/pceea.vi.15908
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 117:3053-3062
We implement and test a multi-point machining tool positioning technique that positions the tool using only a variation on gouge checking. The result is a method that is roughly twice as fast as an earlier method that performed a numerical search to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cb5ee22ab35beb82eea00e80b7674e1
https://doi.org/10.1007/s00170-021-07849-y
https://doi.org/10.1007/s00170-021-07849-y
In this paper, we give a method for positioning a toroidal tool on a tensor product surface with two points of contact. By firing vertical rays and circular rays from the tensor product surface to the toroidal cutting surface, we can find these two p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5251ca9dfb51982f2218b850c32b44bf
https://doi.org/10.21203/rs.3.rs-1601250/v1
https://doi.org/10.21203/rs.3.rs-1601250/v1
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 108:3707-3716
We present a method for detecting chatter in CNC machining. Our method uses machining learning to train a classifier to determine the chatter threshold, and we use an autoencoder to reduce the dimensionality of the data. We test our method on machini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c66741c2c73046208b9015771170c29
https://doi.org/10.1007/s00170-020-05571-9
https://doi.org/10.1007/s00170-020-05571-9
Publikováno v:
Computer-Aided Design and Applications. 17:699-715
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6026b45f1e3362bdcdfd09ede9882935
https://doi.org/10.14733/cadaps.2020.699-715
https://doi.org/10.14733/cadaps.2020.699-715