Dr. Ghais Kharmanda
Institut National des Sciences Appliquées de Rouen, Saint-Étienne-du-Rouvray, Normandie, France
+1
Doctor of Sciences (D.Sc.)
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Academic Career Length
25Years (2002-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications1 March 2004 in Structural and Multidisciplinary Optimization
Journal Article
1 September 2002 in Structural and Multidisciplinary Optimization
Journal Article
Journal Article
Abdallah ShokrySGSamer Gowid
Samer GowidHMHasan Mulki
Hasan MulkiGhais KharmandaThis paper reviews the flow behavior and mathematical modeling of various metals and alloys at a wide range of temperatures and strain rates. Furthermore, it discusses the effects of strain rate and temperature on flow behavior. Johnson–Cook is a strong phenomenological model that has been used extensively for predictions of the flow behaviors of metals and alloys. It has been implemented in finite element software packages to optimize strain, strain rate, and temperature as well as to simulate real behaviors in severe conditions. Thus, this work will discuss and critically review the well-proven Johnson–Cook and modified Johnson–Cook-based models. The latest model modifications, along with their strengths and limitations, are introduced and compared. The coupling effect between flow parameters is also presented and discussed. The various methods and techniques used for the determination of model constants are highlighted and discussed. Finally, future research directions for the mathematical modeling of flow behavior are provided.
Journal Article
Abdallah ShokrySGSamer Gowid
Samer GowidGhais Kharmanda
Elsadig MahdiThe aim of this paper is to establish a reliable model that provides the best fit to the specific behavior of the flow stresses of the 10%Cr steel alloy at the time of hot deformation. Modified Johnson–Cook and strain-compensated Arrhenius-type (phenomenological models), in addition to two Artificial Neural Network (ANN) models were established with the view toward investigating their stress prediction performances. The ANN models were trained using Scaled Conjugate Gradient (SCG) and Levenberg–Marquardt (LM) algorithms. The prediction accuracy of the established models was evaluated using the following well-known statistical parameters: (a) correlation coefficient (R), (b) Average Absolute Relative Error (AARE), (c) Root Mean Squared Error (RMSE), and Relative Error (RE). The results showed that both of the modified Johnson–Cook and strain-compensated Arrhenius models could not competently predict the flow behavior. On the contrary, the results indicated that the two proposed ANN models precisely predicted the flow stress values and that the LM-trained ANN provided a superior performance over the SCG-trained model, as it yielded an RMSE of as low as 0.441 MPa.
1 November 2014 in Computers and Electronics in Agriculture
Journal Article
Ghais KharmandaMIM-H. Ibrahim
M-H. Ibrahim
AAA. Abo Al-Kheer
A. Abo Al-Kheer
FGF. Guerin
F. Guerin
AEA. El-Hami
A. El-Hami
1 June 2006 in Structural and Multidisciplinary Optimization
Journal Article
About Me
I received my Habilitation's Degree (H.D.R.: Doctor of Sciences) from University of Rouen (France) in 2008. I was nominated as Associate Professor at University of Aleppo (Syria) in 2010. I was a visiting Professor at University of Angers (France) in 2016. My European PhD thesis was carried out in collaboration between Blaise Pascal University (France) and Aalborg University (Denmark) and defended in 2003. I was a Visiting Researcher to Aalborg University in 2001, 2002, 2003 and 2006. My main research interests are in the fields of design optimization and reliability (methodology innovation and industrial applications). I was the co-advisor of five PhD theses (2006, 2007, 2008, 2010 and 2018) at INSA Rouen (France) and ENI Sfax (Tunisia) and a collaborator of a PhD thesis (2015) at Lund University (Sweden). In addition, I published peer reviewed works (tri-languages) in the fields of CAD/CAM/CAE, optimization and reliability and was a reviewer and editorial board member of several international journals and conferences. My current research activities are focused on experimental and numerical biomechanical studies (material properties of bone and design of orthopedic and orthodontic prostheses). This work involves the bone material characterization as well as developments of efficient numerical simulation, optimization and reliability algorithms...
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