Abdulrahman Mallah

Prof. Abdulrahman Mallah

Department of Chemistry,, Qassim University, Buraydah, Al Qaşīm, Saudi Arabia
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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16 December 2016 in Applied Physics A
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Journal Article
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MDMohamed Houcine Dhaou
Mohamed Houcine Dhaou
SHSobhi Hcini
Sobhi Hcini
AMAbdulrahman Mallah
Abdulrahman Mallah
MBMohamed Lamjed Bouazizi
Mohamed Lamjed Bouazizi
AJAbdelmajid Jemni
Abdelmajid Jemni

16 February 2023 in Sustainability
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HHHaidar Howari
Haidar Howari
MPMOHD Pravez
MOHD Pravez
OKOsama Khan
Osama Khan
AAAiyeshah Alhodaib
Aiyeshah Alhodaib
AMAbdulrahman Mallah
Abdulrahman Mallah
ZYZeinebou Yahya
Zeinebou Yahya
The current era of energy production from agricultural by-products comprises numerous criteria such as societal, economical, and environmental concerns, which is thought to be difficult, considering the complexities involved. Making the optimum choice among the various classes of organic waste substances with different physio-chemical characteristics based on their appropriateness for pyrolysis is made possible by a ranking system. By using a feasible model, which combines several attributes of decision-making processes, it is possible to select the ideal biomass feedstock from a small number of possibilities based on relevant traits that have an impact on the pyrolysis. In this study, a multi-criteria decision-making (MCDM) technique model based on the weight calculated from the analytical hierarchy process (AHP) tool has been applied to obtain a ranking of different types of agro-waste-derived biomass feedstock. The technique of order preference by similarity to ideal solution (TOPSIS) is used to examine the possibilities of using/utilizing locally available biomass. From this point of view, multi-criteria are explained to obtain yield maximum energy. The suggested approaches are supported by the experimental findings and exhibit a good correlation with one another. Six biomass alternatives and eight evaluation criteria are included in this study. Sawdust is the highest-ranking agricultural waste product with a closeness coefficient score of 0.9 out of the six biomass components that were chosen, followed by apple bagasse with 0.8. The hybrid approach model that has been built can be evaluated and validated for the ranking method using the Euclidian distance-based approximation. This study offers a unique perspective on decision-making, particularly concerning thermo-chemical conversion.

7 September 2022 in Journal of Inorganic and Organometallic Polymers and Materials
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DHDarine Harrabi
Darine Harrabi
SHSobhi Hcini
Sobhi Hcini
JDJamila Dhahri
Jamila Dhahri
MWMohamed Amine Wederni
Mohamed Amine Wederni
AAAbdullah H. Alshehri
Abdullah H. Alshehri
MBMohamed Lamjed Bouazizi
Mohamed Lamjed Bouazizi

10 January 2020 in Journal of Superconductivity and Novel Magnetism
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NMNesrine Mechi
Nesrine Mechi
AMAbdulrahman Mallah
Abdulrahman Mallah
SHSobhi Hcini
Sobhi Hcini
MBMohamed Lamjed Bouazizi
Mohamed Lamjed Bouazizi
MBMichel Boudard
Michel Boudard
ADAbdessalem Dhahri
Abdessalem Dhahri

18 April 2018 in Journal of Superconductivity and Novel Magnetism
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EAEsam AlArfaj
Esam AlArfaj
SHSobhi Hcini
Sobhi Hcini
AMAbdulrahman Mallah
Abdulrahman Mallah
MDMohamed Houcine Dhaou
Mohamed Houcine Dhaou
MBMohamed Lamjed Bouazizi
Mohamed Lamjed Bouazizi

9 October 2023 in Coatings
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Journal Article
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GRGhada ROUIN
Ghada ROUIN
MAMakki Abdmouleh
Makki Abdmouleh
AMAbdulrahman Mallah
Abdulrahman Mallah
MMMohamed Masmoudi
Mohamed Masmoudi
The aim of this research is to study the use of the spent coffee grounds (SCGs) as a novel and environmentally friendly corrosion inhibitor. The oily fraction obtained from decoction extraction was subjected to analysis using Fourier transform infrared spectroscopy (FTIR) and thermogravimetric analysis (TGA). The inhibitive action of SCG extract on the corrosion of copper in a 3 wt% NaCl solution was studied via potentiodynamic polarization and electrochemical impedance spectroscopy (EIS). The research findings elucidate that the extract derived from SCGs functions as a cathodic inhibitor, primarily impeding the diffusion of oxygen molecules towards the copper substrate. Notably, the inhibitory effectiveness exhibits an improvement with ascending concentrations of the SCG extract. This augmentation culminates in a remarkable 96% inhibition efficiency when the SCG extract concentration reaches 0.6 g/L. Furthermore, it is observed that the SCG extract undergoes adsorption onto the copper surface, a phenomenon that conforms to the Langmuir adsorption isotherm.