Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Zvikomborero Hweju"'
Publikováno v:
Solid State Phenomena. 331:53-60
In surface roughness prediction modelling, it is crucial to do away with insignificant variables. Retaining variables that are not statistically significant can lower the formulated model’s accuracy. This paper is a presentation of the Bayesian Lin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a619d3c865f3cac1a84ec5a0ee44c28
https://doi.org/10.4028/p-530ev0
https://doi.org/10.4028/p-530ev0
Publikováno v:
Solid State Phenomena. 331:105-111
The interaction among cutting parameters during the turning process is complex and non-linear, hence making linear predicting methods unsuitable for use. This study is a presentation of hierarchical clustering of surface roughness using acoustic emis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b2906c1771e76636deb6438a2bd6b26
https://doi.org/10.4028/p-045wyf
https://doi.org/10.4028/p-045wyf
Publikováno v:
International Journal of Mechanical Engineering and Robotics Research. :676-681
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6aeb3ad61df6c49c17d4b884aa99dd5
https://doi.org/10.18178/ijmerr.11.9.676-681
https://doi.org/10.18178/ijmerr.11.9.676-681
Publikováno v:
Universal Journal of Mechanical Engineering. 9:21-26
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::352d9af85ded5c036c8ae05b1d565e5d
https://doi.org/10.13189/ujme.2021.090301
https://doi.org/10.13189/ujme.2021.090301
Publikováno v:
Solid State Phenomena. 305:117-121
This paper is a presentation of a comparative study of the effect of water and kerosene coolants on surface finish during ultra-high precision diamond turning (UHPDT) of Rapidly Solidified Aluminium alloy (RSA 443). The percentage relative difference
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c70844951a9064eee0a24a2ebbabb83
https://doi.org/10.4028/www.scientific.net/ssp.305.117
https://doi.org/10.4028/www.scientific.net/ssp.305.117
Publikováno v:
Key Engineering Materials. 841:363-368
Acoustic emission signal-based prediction of surface roughness has been utilized widely, yet little work has been done in this regard on RSA443. This paper seeks to study the correlation between acoustic emission (AE) signal parameters and surface ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4634429f5604b4cd8a6b1c42ae8816a1
https://doi.org/10.4028/www.scientific.net/kem.841.363
https://doi.org/10.4028/www.scientific.net/kem.841.363
Autor:
Shahrokh Hatefi, Abdalla A. S. Abbas, Zvikomborero Hweju, Farouk El-Dahabi, Rabih Dib, Khaled Abou-El-Hossein
Publikováno v:
International Journal of Mechanical Engineering and Robotics Research. :691-695
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd93ef4477eaef4acef196549f847ccd
https://doi.org/10.18178/ijmerr.9.5.691-695
https://doi.org/10.18178/ijmerr.9.5.691-695
Publikováno v:
International Journal of Recent Engineering Science. 7:26-28
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0674f329b883dccd74a8a44addaa8fa
https://doi.org/10.14445/23497157/ijres-v7i5p105
https://doi.org/10.14445/23497157/ijres-v7i5p105
Publikováno v:
Journal of Physics: Conference Series. 2313:012030
There is increased enthusiasm in polymer materials and yet limited research on single point diamond turning of Polymethyl methacrylate (PMMA) used to produce contact lenses. This study is a presentation of a statistical-based PMMA surface roughness p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0283b12e86e89bd5b8afa5a5eebf61ee
https://doi.org/10.1088/1742-6596/2313/1/012030
https://doi.org/10.1088/1742-6596/2313/1/012030
Publikováno v:
Journal of Physics: Conference Series. 2256:012019
During surface roughness modelling, it is crucial to determine the parameters with the highest predictive power since these are the outcome drivers. Based on out-of-bag (OOB) mean square error, the following Random Forest techniques have been utilize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::800176c690535367b06724303fafd8ac
https://doi.org/10.1088/1742-6596/2256/1/012019
https://doi.org/10.1088/1742-6596/2256/1/012019