Zobrazeno 1 - 4
of 4
pro vyhledávání: '"David James Bauch"'
Autor:
Kirk David Arthurs, Nand Kochhar, Kumar Mahadevan, Melissa Parks, David James Bauch, Jeffrey Dan Rupp, John Vincent Fazio, Saeed David Barbat, Tau Tyan
Publikováno v:
SAE International Journal of Materials and Manufacturing. 6:184-208
With a goal to help develop pressure sensor calibration and deployment algorithms using computer simulations, an Arbitrary Lagrangian Eulerian (ALE) approach was adopted in this research to predict the responses of side crash pressure sensors for uni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c35b6c8f9bfe0dd9312fe575bf84ae3
https://doi.org/10.4271/2013-01-0657
https://doi.org/10.4271/2013-01-0657
Autor:
John Vincent Fazio, Kirk David Arthurs, Leonard Anthony Shaner, Charles Ko, Tau Tyan, Jeffrey Dan Rupp, Bill Moore Sherwood, Saeed David Barbat, Nand Kochhar, David James Bauch
Publikováno v:
SAE International Journal of Materials and Manufacturing. 6:209-231
In an attempt to assist pressure sensor algorithm and calibration development using computer simulations, an Arbitrary Lagrangian Eulerian (ALE) approach was adopted in this study to predict the responses of side crash pressure sensors for body-on-fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e48f2182d002954611791c2c6bfd356
https://doi.org/10.4271/2013-01-0666
https://doi.org/10.4271/2013-01-0666
Autor:
Kirk David Arthurs, Tau Tyan, Jason Wang, Dilip Bhalsod, Jeffrey Dan Rupp, Todd N. Clark, Mahmoud Yousef Ghannam, Ben McClain, David James Bauch
Publikováno v:
SAE International Journal of Materials and Manufacturing. 5:314-332
An Arbitrary Lagrangian Eulerian (ALE) approach was adopted in this study to predict the responses of side crash pressure sensors in an attempt to assist pressure sensor algorithm development by using computer simulations. Acceleration-based crash se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b595cda8baa0e00a86f398b5ce6d7973
https://doi.org/10.4271/2012-01-0046
https://doi.org/10.4271/2012-01-0046
Autor:
Mahmoud Yousef Ghannam, Ben McClain, Jason Wang, David James Bauch, Jeffrey Dan Rupp, Tau Tyan, Todd N. Clark, Kirk David Arthurs, Dilip Bhalsod
Publikováno v:
SAE International Journal of Materials and Manufacturing. 5:285-303
In an attempt to predict the responses of side crash pressure sensors, the Corpuscular Particle Method (CPM) was adopted and enhanced in this research. Acceleration-based crash sensors have traditionally been used extensively in automotive industry t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48c1153029903def01f965e3e71856b9
https://doi.org/10.4271/2012-01-0043
https://doi.org/10.4271/2012-01-0043