M
Mahmoud S. Soliman
Researcher at King Saud University
Publications - 86
Citations - 1648
Mahmoud S. Soliman is an academic researcher from King Saud University. The author has contributed to research in topics: Creep & Ultimate tensile strength. The author has an hindex of 19, co-authored 77 publications receiving 1283 citations. Previous affiliations of Mahmoud S. Soliman include University of California, Irvine.
Papers
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Effects of nano-cutting fluids on tool performance and chip morphology during machining Inconel 718
TL;DR: In this article, the effects of two types of nano-cutting fluids on tool performance and chip morphology during turning of Inconel 718 were investigated, and it was found that MWCNT nano-fluid has shown better performance than Al2O3 nanofluid.
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Enhancement of mechanical properties and grain size refinement of commercial purity aluminum 1050 processed by ECAP
TL;DR: In this paper, equal channel angle pressing (ECAP) of commercial purity aluminum (1050) was conducted using two processing routes, namely routes BC and C, up to eight passes.
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Friction stir processing: An effective technique to refine grain structure and enhance ductility
TL;DR: In this article, a commercial 5083 Al rolled plates were subjected to friction stir processing (FSP) with a tool rotational speed of 430rpm and a traverse feed rate of 90mm/min.
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Sustainability assessment associated with surface roughness and power consumption characteristics in nanofluid MQL-assisted turning of AISI 1045 steel
Adel T. Abbas,Munish Kumar Gupta,Munish Kumar Gupta,Mahmoud S. Soliman,Mozammel Mia,Hussein Hegab,Monis Luqman,Danil Yurievich Pimenov +7 more
TL;DR: In this paper, the authors used advanced cooling lubrication, i.e., nanofluid assistance, besides dry and flood cooling, during machining and used as the basis for sustainability assessment.
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Sustainable and Smart Manufacturing: An Integrated Approach
TL;DR: In this paper, the authors proposed a new concept of smart manufacturing, which takes advantage of the recent technological leap in Artificial Intelligent (AI), Cloud Computing (CC), and the Internet of Things (IoT), and discussed current and future challenges that are faced by the manufacturing sector.