Ahmad Barari

Dr. Ahmad Barari

Director of Advanced Digital Manufacturing and Advanced Digital Metrology Laboratories, Faculty of Engineering & Applied Science, University of Ontario Institute of Technology, ACE4023, 2000 Simcoe Street N., Oshawa, Ontario, L1H 7K4, Canada
orcid
Professor and University Governor, Research Excellence Chai...

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

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

Representative Publications

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7 April 2021 in Journal of Intelligent Manufacturing
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Journal Article
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Ahmad BarariAhmad Barari
Ahmad Barari
Marcos TsuzukiMarcos Tsuzuki
Marcos Tsuzuki
Yuval CohenYuval Cohen
Yuval Cohen
MMMarco Macchi
Marco Macchi

11 November 2017 in The International Journal of Advanced Manufacturing Technology
Verified
Journal Article
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ALAmirali Lalehpour
Amirali Lalehpour
CJConner Janeteas
Conner Janeteas
Ahmad BarariAhmad Barari
Ahmad Barari

1 January 2004 in CIRP Annals
Verified
Journal Article
Closed access
HEH.A. ElMaraghy
H.A. ElMaraghy
Ahmad BarariAhmad Barari
Ahmad Barari
GKG.K. Knopf
G.K. Knopf

13 March 2018 in The International Journal of Advanced Manufacturing Technology
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Journal Article
Closed access
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ALAmirali Lalehpour
Amirali Lalehpour
Ahmad BarariAhmad Barari
Ahmad Barari

24 October 2014 in Journal of Manufacturing Science and Engineering
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Journal Article
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SJSaeed Jamiolahmadi
Saeed Jamiolahmadi
Ahmad BarariAhmad Barari
Ahmad Barari
Inspection of surface integrity in additive manufacturing (AM) parts essentially needs a detailed understanding of their actual surface topography. Today's optical surface topography and roughness measurement sensors only provide information of the discrete points measured from the manufactured surface and not a detailed reconstruction of the surface topography. This paper presents a finite difference approach for reconstruction of the surface topography using sample measured data points. The developed methodology can be used in the surface quality inspection of the additive manufactured parts, their surface texture modeling, surface integrity analysis, and in planning for the required postprocessing or down-stream surface finish processes suitable for them. The methodology is fully implemented, and variety of experiments is conducted. The results show that the developed methodology is successful to reconstructed surface topography of the AM parts.

14 December 2020 in Cureus
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Journal Article
Open access
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RMRobert McCarthy
Robert McCarthy
BGBruno Gino
Bruno Gino
PDPhilip D'ENtremont
Philip D'ENtremont
Ahmad BarariAhmad Barari
Ahmad Barari
TRTia S. Renouf
Tia S. Renouf
During the current coronavirus pandemic, significant emphasis has been placed on the importance of mitigating nosocomial spread of coronavirus disease 2019 (COVID-19). One important consideration involves the appropriate use of effective personal protective equipment (PPE), which may reduce a healthcare provider's likelihood of becoming infected while simultaneously minimizing exposure to other patients that they care for. This may reduce demands placed on the healthcare system and help to preserve the workforce. First, the importance of PPE design cannot be underestimated, as the manufacturing process must strive to maximize protection of the user while ensuring adequate comfort. Second, it has been demonstrated that inadequate education and training can significantly impact compliance with PPE recommendations. Technique regarding donning and doffing of PPE is crucial to the protection of those who don it. The purpose of this technical report is two-fold: first, to describe some important considerations in the manufacturing and design process of face shields to maximize protection for healthcare providers, and second, to describe a simulation scenario that may be used to train healthcare workers in the appropriate donning and doffing of PPE.