Zobrazeno 1 - 10
of 776
pro vyhledávání: '"D M Knowles"'
Autor:
Allen M. Putterman
Publikováno v:
Ophthalmic Plastic & Reconstructive Surgery. 3:194
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba9cb5f75438f175bbe7934637f0ef37
https://doi.org/10.1097/00002341-198703030-00017
https://doi.org/10.1097/00002341-198703030-00017
Publikováno v:
Volume 6A: Materials and Fabrication.
The creep damage evolution in multi-pass welds is believed to be influenced by the variation of creep rates from the weld to the base metal and through the HAZ. Material heterogeneity in a multi-pass weld leads to a non-uniform stress distribution re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8c8d479a879fae29f85508f103f12f8
https://doi.org/10.1115/pvp2018-84618
https://doi.org/10.1115/pvp2018-84618
Autor:
Putterman, Allen M.
Publikováno v:
Ophthalmic Plastic and Reconstructive Surgery; January 1987, Vol. 3 Issue: 3 p194-194, 1p
Publikováno v:
Materials Science and Technology. 23:183-188
WOS: 000244877700009
The requirement for improved understanding of the behaviour of turbine disc alloys at elevated temperatures has led to an increased interest in the contribution of time dependant mechanisms to high temperature fatigue crack
The requirement for improved understanding of the behaviour of turbine disc alloys at elevated temperatures has led to an increased interest in the contribution of time dependant mechanisms to high temperature fatigue crack
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e19425ff9dc3c0944361dc5bc75e1b24
https://doi.org/10.1179/174328407x154257
https://doi.org/10.1179/174328407x154257
Autor:
Q. Z. Chen, D. M. Knowles
Publikováno v:
Materials Science and Technology. 19:447-455
The effect of the addition of grain boundary strengthening elements (carbon, hafnium) on the microporosity of an experimental single crystal superalloy RR2072 has been investigated. Quantitative examination showed that the volume fraction of micropor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5c941563c77eef8787498df3f4c7b57
https://doi.org/10.1179/026708303225010803
https://doi.org/10.1179/026708303225010803
Autor:
D. M. Knowles, Y. H. Zhang
Publikováno v:
Materials Science and Technology. 18:917-923
The effect of room temperature plastic deformation on the subsequent creep behaviour of C263 alloy has been studied. Creep tests were carried out at 800°C and prestraining was conducted in tension up to a level of 7·2%. Prestraining slightly increa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c0a9cfb15a62411fbf03cdd663e9975
https://doi.org/10.1179/026708302225004838
https://doi.org/10.1179/026708302225004838
Autor:
Q. Z. Chen, D. M. Knowles
Publikováno v:
Metallurgical and Materials Transactions A. 33:1319-1330
A comparative investigation of σ-phase transformation in base and modified experimental alloy RR2072 (C, Hf, and B) has been undertaken. The alloys were exposed at 950 °C for 5 to 500 hours. It was found that σ-phase transformation was notably ret
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c0722aa77f7f6c0f308e87fffbe6644
https://doi.org/10.1007/s11661-002-0058-9
https://doi.org/10.1007/s11661-002-0058-9
Autor:
D. M. Knowles, J. Warde
Publikováno v:
ISIJ International. 39:1006-1014
In this work the application of a neural network, within a Bayesian framework, to the prediction of tensile properties has been critically assessed. Following optimisation of input parameters a series of neural networks were trained to predict tensil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fce0987915d325c18b527f05340a6358
https://doi.org/10.2355/isijinternational.39.1006
https://doi.org/10.2355/isijinternational.39.1006
Autor:
D. M. Knowles, J. Warde
Publikováno v:
ISIJ International. 39:1015-1019
This paper demonstrates the application of a neural network model to an alloy design process for a Ni-base polycrystalline superalloy. The network model used had the ability to predict tensile properties for polycrystalline superalloys as a function
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c936b49d1795975fffda2f7fcde2cf7
https://doi.org/10.2355/isijinternational.39.1015
https://doi.org/10.2355/isijinternational.39.1015
Autor:
Innocenzi, Plinio1 (AUTHOR) plinio@uniss.it, De Forni, Davide2 (AUTHOR), Lori, Franco2 (AUTHOR)
Publikováno v:
Small Structures. Sep2024, p1. 21p. 26 Illustrations, 2 Charts.