Armin Rashidi

Mr. Armin Rashidi

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 March 2019 in Small
Verified
Journal Article
Closed access
PDF file
HMHossein Montazerian
Hossein Montazerian
ARArmin Rashidi
Armin Rashidi
ADArash Dalili
Arash Dalili
HNHomayoun Najjaran
Homayoun Najjaran
Abbas Sadeghzadeh MilaniAbbas Sadeghzadeh Milani
Abbas Sadeghzadeh Milani
Mina HoorfarMina Hoorfar
Mina Hoorfar

1 September 2016 in Composites Part A: Applied Science and Manufacturing
Verified
Journal Article
Closed access
MKM. Haghi Kashani
M. Haghi Kashani
ARArmin Rashidi
Armin Rashidi
BCB.J. Crawford
B.J. Crawford
AMA.S. Milani
A.S. Milani

1 February 2018 in Composites Part A: Applied Science and Manufacturing
Verified
Journal Article
Closed access
ARArmin Rashidi
Armin Rashidi
AMA.S. Milani
A.S. Milani

14 August 2020 in Materials
Verified
Journal Article
Open access
PDF file
ARArmin Rashidi
Armin Rashidi
TOTina Olfatbakhsh
Tina Olfatbakhsh
BCBryn Crawford
Bryn Crawford
Abbas Sadeghzadeh MilaniAbbas Sadeghzadeh Milani
Abbas Sadeghzadeh Milani
X-ray computed tomography provides qualitative and quantitative structural and compositional information for a broad range of materials. Yet, its contribution to the field of advanced composites such as carbon fiber reinforced polymers is still limited by factors such as low imaging contrast, due to scarce X-ray attenuation features. This article, through a review of the state of the art, followed by an example case study on Micro-computed tomography (CT) analysis of low X-ray absorptive dry and prepreg carbon woven fabric composites, aims to highlight and address some challenges as well as best practices on performing scans that can capture key features of the material. In the case study, utilizing an Xradia Micro-CT-400, important aspects such as obtaining sufficient contrast, an examination of thin samples, sample size/resolution issues, and image-based modeling are discussed. The outcome of an optimized workflow in Micro-CT of composite fabrics can assist in further research efforts such as the generation of surface or volume meshes for the numerical modeling of underlying deformation mechanisms during their manufacturing processes.


1 February 2020 in Composites Part A: Applied Science and Manufacturing
Verified
Journal Article
Closed access
ARArmin Rashidi
Armin Rashidi
HMH. Montazerian
H. Montazerian
KYK. Yesilcimen
K. Yesilcimen
AMA.S. Milani
A.S. Milani