Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Mitsuo Yoshimura"'
Publikováno v:
Journal of Fluid Science and Technology, Vol 14, Iss 2, Pp JFST0011-JFST0011 (2019)
This study proposes a shape optimization approach for the cross-sectional shape of the inner pipe of a counterflow concentric tube heat exchanger. The cross-sectional shape of the inner pipe is expressed by an algebraic expression with a small number
Externí odkaz:
https://doaj.org/article/2b956d9f079d485cbf82a75f2b7a6916
Publikováno v:
BMJ Case Reports; Nov2022, Vol. 15 Issue 11, p1-6, 6p
Publikováno v:
Volume 2: Computational Fluid Dynamics.
Toward a practical application of the additive manufacturing (AM), this study proposes a shape optimization approach for the cross-sectional shape of the inner pipe of a counter-flow double pipe heat exchanger. The cross-sectional shape of the inner
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f035af7bdb98318252e16b2b5847a5d
https://doi.org/10.1115/ajkfluids2019-4998
https://doi.org/10.1115/ajkfluids2019-4998
Publikováno v:
Microfluidics and Nanofluidics. 23
This paper proposes a novel approach for fluid topology optimization using genetic algorithm. In this study, the enhancement of mixing in the passive micromixers is considered. The efficient mixing is achieved by the grooves attached on the bottom of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::794a87d8b7cc3d2820b4503548f22dc0
https://doi.org/10.1007/s10404-019-2201-6
https://doi.org/10.1007/s10404-019-2201-6
Publikováno v:
International Journal for Numerical Methods in Engineering. 109:514-532
Summary A non-gradient-based approach for topology optimization using a genetic algorithm is proposed in this paper. The genetic algorithm used in this paper is assisted by the Kriging surrogate model to reduce computational cost required for functio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3f2904ca3186e93f4829bd44a44baa9
https://doi.org/10.1002/nme.5295
https://doi.org/10.1002/nme.5295
Publikováno v:
Computational Methods in Applied Sciences ISBN: 9783319899862
A global optimization method for topology optimization using a genetic algorithm is proposed in this paper. The genetic algorithm used in this paper is assisted by the Kriging surrogate model to reduce computational cost required for function evaluat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56016802c4d053582561daab331366f7
https://doi.org/10.1007/978-3-319-89988-6_32
https://doi.org/10.1007/978-3-319-89988-6_32
Publikováno v:
Volume 2B: 43rd Design Automation Conference.
This paper proposes a novel approach for fluid topology optimization using genetic algorithm. In this study, the enhancement of mixing in the passive micromixers is considered. The efficient mixing is achieved by the grooves attached on the bottom of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3aeb0c496bc6599cf11a06baf2a76189
https://doi.org/10.1115/detc2017-67745
https://doi.org/10.1115/detc2017-67745
Publikováno v:
Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31975b851a5b8c7266742f8fa62fc9d1
https://doi.org/10.7712/100016.2040.8471
https://doi.org/10.7712/100016.2040.8471
Publikováno v:
Cardiovascular Drug Reviews. 5:95-115
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1123d37a283702750b23908050d2602b
https://doi.org/10.1111/j.1527-3466.1987.tb00504.x
https://doi.org/10.1111/j.1527-3466.1987.tb00504.x
Publikováno v:
The Proceedings of Mechanical Engineering Congress, Japan. 2018:J0550305
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a1a317752b6d4322014d3341a5e4e8c
https://doi.org/10.1299/jsmemecj.2018.j0550305
https://doi.org/10.1299/jsmemecj.2018.j0550305