Article,
Computational optimization of a 3D printed collimator
F. Islam, J. Lin, T. Huegle, I. Lumsden, D. Anderson, A. Elliott, B. Haberl, and G. Granroth.Journal of Neutron Research, 22 (2–3): 155–168 (October 2020)
DOI: 10.3233/JNR-190139
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- Islam_Lin_Huegle_Lumsden_Anderson_Elliott_Haberl_Granroth_2020
- entry type
- article
- year
- 2020
- month
- oct
- journal
- Journal of Neutron Research
- number
- 2–3
- pages
- 155–168
- publisher
- IOS Press
- volume
- 22
- abstractnote
- This contribution describes the computational methodology behind an optimization procedure for a scattered beam collimator. The workflow includes producing a file that can be manufactured via additive methods. A conical collimator, optimized for neutron diffraction experiments in a high pressure clamp cell, is presented as an example. In such a case the scattering from the sample is much smaller than that of the pressure cell. Monte Carlo Ray tracing in MCViNE was used to model scattering from a Si powder sample and the cell. A collimator was inserted into the simulation and the number and size of channels were optimized to maximize the rejection of the parasitic signal coming from the complex sample environment. Constraints, provided by the additive manufacturing process as well as a specific neutron diffractometer, were also included in the optimization. The source code and the tutorials are available in c3dp (Islam (2019)).
- issn
- 14772655, 10238166
- place
- NL
- DOI
- 10.3233/JNR-190139
- url
- https://doi.org/10.3233/JNR-190139
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- please select -%0 Journal Article
%1 Islam_Lin_Huegle_Lumsden_Anderson_Elliott_Haberl_Granroth_2020
%A Islam, Fahima
%A Lin, Jiao
%A Huegle, Thomas
%A Lumsden, Ian
%A Anderson, David
%A Elliott, Amy
%A Haberl, Bianca
%A Granroth, Garrett
%D 2020
%I IOS Press
%J Journal of Neutron Research
%K myown neutron
%N 2–3
%P 155–168
%R 10.3233/JNR-190139
%T Computational optimization of a 3D printed collimator
%U https://doi.org/10.3233/JNR-190139
%V 22
@article{Islam_Lin_Huegle_Lumsden_Anderson_Elliott_Haberl_Granroth_2020,
abstractnote = {This contribution describes the computational methodology behind an optimization procedure for a scattered beam collimator. The workflow includes producing a file that can be manufactured via additive methods. A conical collimator, optimized for neutron diffraction experiments in a high pressure clamp cell, is presented as an example. In such a case the scattering from the sample is much smaller than that of the pressure cell. Monte Carlo Ray tracing in MCViNE was used to model scattering from a Si powder sample and the cell. A collimator was inserted into the simulation and the number and size of channels were optimized to maximize the rejection of the parasitic signal coming from the complex sample environment. Constraints, provided by the additive manufacturing process as well as a specific neutron diffractometer, were also included in the optimization. The source code and the tutorials are available in c3dp (Islam (2019)).},
added-at = {2021-08-17T16:26:01.000+0200},
author = {Islam, Fahima and Lin, Jiao and Huegle, Thomas and Lumsden, Ian and Anderson, David and Elliott, Amy and Haberl, Bianca and Granroth, Garrett},
biburl = {https://www.bibsonomy.org/bibtex/28b3cbbdf1c1d2f05d2c08c9412ad3ff9/linjiao},
doi = {10.3233/JNR-190139},
interhash = {586ce84010fa572c3fd968e2bc1f0e27},
intrahash = {8b3cbbdf1c1d2f05d2c08c9412ad3ff9},
issn = {14772655, 10238166},
journal = {Journal of Neutron Research},
keywords = {myown neutron},
month = oct,
number = {2–3},
pages = {155–168},
place = {NL},
publisher = {IOS Press},
timestamp = {2021-08-17T16:26:01.000+0200},
title = {Computational optimization of a 3D printed collimator},
url = {https://doi.org/10.3233/JNR-190139},
volume = 22,
year = 2020
}