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Sulaymon L. Eshkabilov

Researcher at North Dakota State University

Publications -  26
Citations -  168

Sulaymon L. Eshkabilov is an academic researcher from North Dakota State University. The author has contributed to research in topics: Damper & Modeling and simulation. The author has an hindex of 5, co-authored 20 publications receiving 101 citations. Previous affiliations of Sulaymon L. Eshkabilov include Tashkent Automobile and Road Construction Institute & University of Jamestown.

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Optimal Shape Design of Steadily Loaded Journal Bearings using Genetic Algorithms

TL;DR: In this article, the authors describe an implementation of a genetic algorithm scheme suitable to the optimal shape design of finite-width, isoviscous, fluid film journal bearings under steady load and steady journal rotation.
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Hyperspectral imaging techniques for rapid detection of nutrient content of hydroponically grown lettuce cultivars

TL;DR: In this article, the analysis of online quality measurements of four lettuce cultivars (Rex, Tacitus, Black Seeded Simpson, Flandria) using hyperspectral image processing techniques have been studied.
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Mechanical and thermal properties of stainless steel parts, manufactured by various technologies, in relation to their microstructure

TL;DR: In this paper, a comparative analysis of the effect of manufacturing processes and process parameters on mechanical and thermal properties of stainless steel 316L has been presented for the parts produced by additive manufacturing (Selected Laser Melting), thermal spraying, casting, hot/cold rolling, hot-isostatic pressing, and forging technologies.
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Optimal Control Strategies for CVT of the HEV during a regenerative process

TL;DR: In this paper, the authors presented analyses and estimation of optimal control strategies of the parallel hybrid electric vehicles (HEV) from the perspective of fuel economy and maximum energy regeneration during an active braking process.
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Variable rate application accuracy of a centrifugal disc spreader using ISO 11783 communication data and granule motion modeling

TL;DR: In this article, a mathematical model of the spreader performance with granule dynamics on-and off-the spreader disc was developed to assess the application accuracy, in terms of deviations from the prescribed rates.