Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Joshua R. Tempelman"'
Autor:
Bulbul Ahmmed, Elisabeth G. Rau, Maruti K. Mudunuru, Satish Karra, Joshua R. Tempelman, Adam J. Wachtor, Jean-Baptiste Forien, Gabe M. Guss, Nicholas P. Calta, Phillip J. DePond, Manyalibo J. Matthews
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract In additive manufacturing (AM), process defects such as keyhole pores are difficult to anticipate, affecting the quality and integrity of the AM-produced materials. Hence, considerable efforts have aimed to predict these process defects by t
Externí odkaz:
https://doaj.org/article/f0eabfad36394d9dbc93e354f8730b5a
Publikováno v:
HardwareX, Vol 8, Iss , Pp e00138- (2020)
The double pendulum is a system that manifests fascinating non-linear behavior. This made it a popular tool in academic settings for illustrating the intricate response of a seemingly simple physical apparatus, or to validate tools for studying nonli
Externí odkaz:
https://doaj.org/article/52242a79ad7247619714aa10f561b158
Publikováno v:
Physical Review B. 104
Mechanical topological insulators are well understood for linear and weakly nonlinear systems, however traditional analysis methods break down for strongly nonlinear systems since linear methods can not be applied in that case. We study one such syst
Autor:
Joshua R. Tempelman, Alireza Mojahed, Majdi Gzal, Kathryn H. Matlack, Oleg V. Gendelman, Lawrence A. Bergman, Alexander F. Vakakis
Publikováno v:
Journal of Sound and Vibration. 539:117212
Autor:
Joshua R. Tempelman, Adam J. Wachtor, Eric B. Flynn, Phillip J. Depond, Jean-Baptiste Forien, Gabe M. Guss, Nicholas P. Calta, Manyalibo J. Matthews
Publikováno v:
Journal of Materials Processing Technology. 308:117656
Autor:
Joshua R. Tempelman, Adam J. Wachtor, Eric B. Flynn, Phillip J. Depond, Jean-Baptiste Forien, Gabe M. Guss, Nicholas P. Calta, Manyalibo J. Matthews
Publikováno v:
Additive Manufacturing. 55:102735
The ability to characterize the state of dynamic systems has been a pertinent task in the time series analysis community. Traditional measures such as Lyapunov exponents are often times difficult to recover from noisy data, especially if the dimensio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad28a2efaf23c44eb5e190a6957ac3e7
http://arxiv.org/abs/2009.00494
http://arxiv.org/abs/2009.00494
Publikováno v:
Volume 8: 31st Conference on Mechanical Vibration and Noise.
Enhancements in manufacturing technologies, especially 3D-printing, have enabled the production of intricate micro-scale, elastic meta-structures. This study explores the broadband vibration absorption characteristics of these structures for three di
Publikováno v:
Physica D: Nonlinear Phenomena. 406:132446
Traditionally, computation of Lyapunov exponents has been the marque method for identifying chaos in a time series. Recently, new methods have emerged for systems with both known and unknown models to produce a definitive 0--1 diagnostic. However, th