Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Dhiren R. Patel"'
Publikováno v:
Engineering Reports, Vol 2, Iss 2, Pp n/a-n/a (2020)
Abstract In the present work, a machine vision system is introduced, which captures images and extracts surface texture features of machined surfaces. The texture feature parameters are extracted using the gray‐level co‐occurrence matrix and corr
Externí odkaz:
https://doaj.org/article/5f9e0061df3d4942bc3a34aeca2efb66
Publikováno v:
ECS Transactions. 107:13745-13755
The additive manufacturing technology is progressing at a faster rate than any other manufacturing process, as it influences the process innovatively and facilitates customize products and iterative design, which help the production system to achieve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c40741076514be3309961d5ac07b19f2
https://doi.org/10.1149/10701.13745ecst
https://doi.org/10.1149/10701.13745ecst
Publikováno v:
Materials and Technologies for a Green Environment ISBN: 9789815051216
The current scenario in the field of aviation is focused on hypersonic-speed vehicles. To achieve the required performance, engines have to be designed in such a way that their outcome should be maximum. Nowadays high-speed performance engines have u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3964879c85c5079b19639a5238a2fc47
https://doi.org/10.2174/9789815051216123010007
https://doi.org/10.2174/9789815051216123010007
Autor:
Dhiren R. Patel, M.B. Kiran
Publikováno v:
Materials Today: Proceedings. 44:792-796
Measurement of surface roughness helps to assess the machined component's functionality. In the past three decades, several scientists have contributed to the computation of surface roughness. This research article deals with two distinct methods for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a161ef4a10f3efb6399e6d8fa9ee31cf
https://doi.org/10.1016/j.matpr.2020.10.709
https://doi.org/10.1016/j.matpr.2020.10.709
Autor:
Bhavesh N. Gohil, Dhiren R. Patel
Publikováno v:
Concurrency and Computation: Practice and Experience. 34
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ad713bece96e4fc7a86c14b861863aa
https://doi.org/10.1002/cpe.6888
https://doi.org/10.1002/cpe.6888
Autor:
Dhiren R. Patel, M.B. Kiran
Publikováno v:
Materials Today: Proceedings. 26:350-355
At present, the combination of non-contact type optical techniques and machine vision systems has a huge significance in the assessment of surface roughness. The non-contact measurement methods seem to have greater advantages over the conventional st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd9d3ec4e96100f28fe4592b3ca5afa0
https://doi.org/10.1016/j.matpr.2019.12.029
https://doi.org/10.1016/j.matpr.2019.12.029
Publikováno v:
FME Transactions, Vol 47, Iss 4, Pp 865-872 (2019)
The identification of surface texture images from machining surfaces using image processing techniques has been a prominent research area in the recent decades. The aim of this paper is to identify various machined surface texture images using machin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ea9848c13ea26ee759f28f84318eb63
https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2019/1451-20921904865P.pdf
https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2019/1451-20921904865P.pdf
Autor:
M.B. Kiran, Dhiren R. Patel
Publikováno v:
Materials Today: Proceedings. 18:3008-3016
In the present investigation, feasibility assessment has been deployed on 6082T6 alloy sand blasted components to correlate surface roughness parameters and surface attributes. A non-contact type high-speed machine vision system has been adopted to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fbea7231133e2311242afff9897fa6a
https://doi.org/10.1016/j.matpr.2019.07.172
https://doi.org/10.1016/j.matpr.2019.07.172
Publikováno v:
Engineering Reports, Vol 2, Iss 2, Pp n/a-n/a (2020)
In the present work, a machine vision system is introduced, which captures images and extracts surface texture features of machined surfaces. The texture feature parameters are extracted using the gray‐level co‐occurrence matrix and correlated wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3268a6e82880e8bf55d7c514eb9f66b
https://doi.org/10.1002/eng2.12119
https://doi.org/10.1002/eng2.12119
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9789811511233
The use of the optical device for the measurement of surface roughness reduces complexity and time for measurement. In the current study, surface roughness parameters were measured after machining on a shaper machine using the machine vision system w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a93c48b997ad17d5212c6d4ccefba79b
https://doi.org/10.1007/978-981-15-1124-0_49
https://doi.org/10.1007/978-981-15-1124-0_49