A New Perspective to Tribocharging: Could Tribocharging Lead to the Development of a Non-Destructive Approach for Process Monitoring and Quality Control of Powders?

Mehrtash, Hadi; Konakbayeva, Dinara; Tabtabaei, Solmaz; Srinivasan, Seshasai; Rajabzadeh, Amin Reza

Mehrtash, Hadi; Konakbayeva, Dinara; Tabtabaei, Solmaz; Srinivasan, Seshasai; Rajabzadeh, Amin Reza.

Afiliação

Mehrtash H; Department of Mechanical Engineering, McMaster University, Hamilton, ON L8S 3L8, Canada.
Konakbayeva D; Department of Chemical Engineering, Howard University, Washington, DC 20060, USA.
Tabtabaei S; Department of Chemical Engineering, Howard University, Washington, DC 20060, USA.
Srinivasan S; Department of Mechanical Engineering, McMaster University, Hamilton, ON L8S 3L8, Canada.
Rajabzadeh AR; W Booth School of Engineering Practice and Technology, McMaster University, Hamilton, ON L8S 0A3, Canada.

Foods ; 11(5)2022 Feb 26.

Article em En | MEDLINE | ID: mdl-35267326

Palavras-chave

artificial neural network (ANN); computational fluid dynamics (CFD); rapid characterization; tribocharging

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Foods Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Canadá

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