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Arkan Jasim Hadi

Researcher at Soran University

Publications -  16
Citations -  117

Arkan Jasim Hadi is an academic researcher from Soran University. The author has contributed to research in topics: Low-density polyethylene & High-density polyethylene. The author has an hindex of 4, co-authored 14 publications receiving 48 citations. Previous affiliations of Arkan Jasim Hadi include Universiti Malaysia Pahang.

Papers
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Simulation the adsorption capacity of polyvinyl alcohol/carboxymethyl cellulose based hydrogels towards methylene blue in aqueous solutions using cascade correlation neural network (CCNN) technique

TL;DR: In this paper , a cascade correlation neural network (CCNN) was employed to simulate the adsorption mechanism of methylene blue (MB) molecules by the bio-based (polyvinyl alcohol/carboxymethyl cellulose) hydrogel reinforced by graphene oxide nanoparticles and bentonite.
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Polyolefins Waste Materials Reconditioning Using Dissolution/Reprecipitation Method

TL;DR: In this article, a dissolution/reprecipitation method was used to study the potential recycling-based degradation of waste polyethylene (LDPE) by measuring the thermal properties (melting point, crystallinity), of the polymer before and after recycling, using DSC.
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Dissolution/reprecipitation technique for waste polyolefin recycling using new pure and blend organic solvents

TL;DR: In this article, the dissolution/reprecipitation method was used to recover polyolefins from waste polyethylene (LDPE) and polypropylene (PP) using model polymers.
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Potential solvent for reconditioning polyolefin waste materials

TL;DR: In this paper, a method of dissolution/reprecipitation on low and high-density polyethylene (PE) and polypropylene (PP) was examined by using FTIR images and tensile mechanical properties of the samples, before and after recycling.
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Optimal design of industrial reactor for naphtha thermal cracking process

TL;DR: In this article, a rigorous mathematical model for an industrial naphtha cracker is investigated based on experimental data combining with a kinetic model describes the coke formation on the internal reactor tubes.