@article { author = {Beigmoradi, Razieh and Aghamiri, Seyed Foad}, title = {The effects of suspending medium on dielectrophoretic systems for separating and sorting carbon nanotubes}, journal = {Journal of Particle Science and Technology}, volume = {5}, number = {4}, pages = {123-134}, year = {2019}, publisher = {Iranian Research Organization for Science and Technology}, issn = {2423-4087}, eissn = {2423-4079}, doi = {10.22104/jpst.2019.3848.1157}, abstract = {The separation of two different types of multi-walled carbon nanotubes is studied in a dielectrophoresis-based microchannel system in seven different solvents as the suspending medium.  A simple model was developed to predict the behavior of the multi-walled carbon nanotubes in the above mentioned system. Then, the equations of motion for the multi-walled carbon nanotubes in that system were introduced and the effect of the suspending medium type on the fabrication parameters of dielectrophoretic system, such as applied voltage and inter electrode gap, was surveyed. The calculations indicate that the suspending medium has a direct influence on the design and optimization of dielectrophoretic systems. The geometrical separation of the carbon nanotubes is considered here, and it was found that the model predicts some advantages in separation and sorting multi-walled carbon nanotubes based on their diameter. }, keywords = {carbon nanotubes,Dielectrophoresis,Separation and sorting,Suspending medium}, url = {https://jpst.irost.ir/article_874.html}, eprint = {https://jpst.irost.ir/article_874_c5daf5d0e0799a6765b2b8be2280abcc.pdf} } @article { author = {Foroutan Ghazvini, Saba and Afshar Ebrahimi, Ali and Jafarnia, Seyed Hadi}, title = {FCC catalyst attrition behavior at high temperatures}, journal = {Journal of Particle Science and Technology}, volume = {5}, number = {4}, pages = {135-143}, year = {2019}, publisher = {Iranian Research Organization for Science and Technology}, issn = {2423-4087}, eissn = {2423-4079}, doi = {10.22104/jpst.2020.3853.1158}, abstract = {In this work, high temperature attrition was studied in a standard attrition set-up to mimic the FCC regenerator environment with mechanical attrition. Operating conditions were modified in this pilot due to the application of high temperatures. Two parameters, i.e., time and temperature in the ranges of 1 to 5h and 673-973K, were surveyed, respectively. The behavior of attrition and mass loss was then modeled and validated. At higher temperatures mass loss response sensitivity became larger. Finally, PSD and SEM tests were used to investigate the attrition mechanism. In the ambient tests, abrasion was significant while at higher temperatures, fragmentation was considerable. PSD plots shifted into larger particles and SEM images showed those changes as well. In addition, significant reshaping in the PSD curves indicated particle cracking at high temperatures.}, keywords = {FCC catalyst particles,Attrition,High temperature,RSM,PSD}, url = {https://jpst.irost.ir/article_889.html}, eprint = {https://jpst.irost.ir/article_889_dd2eb598c1d5ab05cd58c9c426cfa0ee.pdf} } @article { author = {Khosravi, Morteza and Zeraati, Malihe}, title = {Predictive modeling of the length of prepared CNT by CVD through ANN-MPSO and GEP}, journal = {Journal of Particle Science and Technology}, volume = {5}, number = {4}, pages = {145-159}, year = {2019}, publisher = {Iranian Research Organization for Science and Technology}, issn = {2423-4087}, eissn = {2423-4079}, doi = {10.22104/jpst.2020.3835.1156}, abstract = {Floating catalyst chemical vapor deposition (FC-CVD) is considered as one of the most appropriate techniques for the preparation of carbon nanotubes (CNTs) on the industrial scale. This paper tried to model the length of CNTs prepared by FC-CVD using two approaches, i.e. gene expression programs and hybrid artificial neural networks. In this regard, the effect of various FC-CVD parameters, viz. temperature, time, preheat temperature, Ar gas flow, methane gas flow, ethylene gas flow, Al2O3 catalyst, and Fe catalyst, on the length of CNTs, were investigated. At first, a hybrid artificial neural network-modified particle swarm optimization strategy (ANN-MPSO) has been used to model the CNTs length as a function of practical variables. In the next step, the same modeling of the problem was done using gene expression programming (GEP) instead of ANN-MPSO. The accuracy of the developed hybrid ANN-MPSO and GEP models was compared with regard to the linear combination of mean absolute percentage error and correlation coefficient as criteria. The results confirmed that the ANN model upgraded by the meta-heuristics strategy could be effectively applied for an accurate predictive model in the estimation of the length of CNTs as a function of the most important practical FC-CVD parameters. Also, the sensitivity analysis confirmed that the precursor type of carbon (including CH4 and C2H4) and the preheat temperature have the highest and the least effect on the length of CNTs, respectively.}, keywords = {Gene expression programming,Hybrid artificial neural network,Floating catalyst,carbon nanotubes}, url = {https://jpst.irost.ir/article_886.html}, eprint = {https://jpst.irost.ir/article_886_2714ad050c70a8b509ad4f64d3c459f8.pdf} } @article { author = {Rahman-Setayesh, Mohammad Reza and Rahbar Kelishami, Ahmad and Shayesteh, Hadi}, title = {Equilibrium, kinetic, and thermodynamic applications for methylene blue removal using Buxus sempervirens leaf powder as a powerful low-cost adsorbent}, journal = {Journal of Particle Science and Technology}, volume = {5}, number = {4}, pages = {161-170}, year = {2019}, publisher = {Iranian Research Organization for Science and Technology}, issn = {2423-4087}, eissn = {2423-4079}, doi = {10.22104/jpst.2020.3909.1160}, abstract = {In this work, methylene blue adsorption using the unconventional, natural, and low-cost adsorbent, Buxus sempervirens (Boxwood) leaf powder (BLP), was studied. Several experiments were conducted for the investigation of different process variables. Also   different techniques such as XRF, XRD, SEM, FT-IR and N2 adsorption-desorption analysis were applied for the characterization of BLP. Adsorption kinetic models showed that the pseudo-second-order by R2 = 0.999 was well adapted. Two isotherms models, Langmuir and Freundlich, were selected to check of the amount of color removal. Methylene blue (MB) maximum adsorption capacities can attain 384.61 mg.g-1 from the Langmuir isotherm. The values of ∆G0 for adsorption of MB onto BLP ranges from -19.44 to -24.07 kJ.mol-1, demonstrating that the adsorption process was spontaneous and irreversible. The removal of dye was considerably increased by increasing the temperature, which suggested that the adsorption process was endothermic. All results indicate that BLP can be feasibly employed for the elimination of MB from an aqueous solution.}, keywords = {Dye,Boxwood,biosorbent,Water treatment}, url = {https://jpst.irost.ir/article_888.html}, eprint = {https://jpst.irost.ir/article_888_8a8427c07c7320dfae4dd98cc4b610a1.pdf} } @article { author = {Etminani, Mahsa and Tohidlou, Esmaeil}, title = {Effect of ZrSiO4 particles on the wear properties of as-cast Al matrix particulate composites fabricated via various casting routes}, journal = {Journal of Particle Science and Technology}, volume = {5}, number = {4}, pages = {171-177}, year = {2019}, publisher = {Iranian Research Organization for Science and Technology}, issn = {2423-4087}, eissn = {2423-4079}, doi = {10.22104/jpst.2020.3856.1159}, abstract = {This study deals with the effects of ZrSiO4 particles addition on the abrasive wear behavior of aluminum based metal matrix composites. The Al-A356/5 vol% ZrSiO4 specimens were prepared by the injection of particles in the as-received form or Al-ZrSiO4 milled composite powder. The injection of composite powder caused remarkable improvement in ZrSiO4 distribution within the Al-356 matrix alloy. The composites were fabricated by two different routes: semisolid-liquid state (SL) and liquid-liquid state (LL). According to the results, a better distribution of reinforcing particles was observed when the stirring was conducted in the semisolid state. Based on the wear test results, the composite with ball-milled Al-ZrSiO4 particles (A356/(Al-ZrSiO4)cp ) processed in the SL state exhibited the highest wear resistance in terms of wear rate and friction coefficient. The worn surfaces of specimens were examined to identify the possible mechanisms.}, keywords = {Al-based composite,ZrSiO4,Distribution,Wear properties}, url = {https://jpst.irost.ir/article_887.html}, eprint = {https://jpst.irost.ir/article_887_6dbae445aada5d7d9a48c923d58aa7d9.pdf} } @article { author = {Mohammadi Zeydi, Masoud and Shiroud Ghorbani, Saghi}, title = {Green preparation of tetrahydrobenzimidazo[2,1-b]quinazolin-1(2H)-ones using γ-Fe2O3@KSF as novel and recyclable magnetic catalyst}, journal = {Journal of Particle Science and Technology}, volume = {5}, number = {4}, pages = {179-186}, year = {2019}, publisher = {Iranian Research Organization for Science and Technology}, issn = {2423-4087}, eissn = {2423-4079}, doi = {10.22104/jpst.2020.3307.1139}, abstract = {The preparation of tetrahydrobenzimidazo[2,1-b]quinazolin-1(2H)-ones via a γ-Fe2O3@KSF-catalyzed multicomponent coupling reaction of 2-aminobenzimidazole, benzaldehydes, and dimedone in solvent-free conditions is reported. γ-Fe2O3@KSF as a magnetic catalyst was prepared using the successive coating of a γ-Fe2O3 shell on a KSF core and was characterized by different methods including FT-IR, XRD, TGA and SEM techniques. The merits of this method include limited use of organic solvents, excellent purity of products, and an easy workup technique. The tetrahydrobenzimidazo[2,1-b]quinazolin-1(2H)-ones were prepared in yields of 88-94%. The catalyst was recovered through an external magnet and reused four times without any considerable loss of its activity.}, keywords = {Quinazolinone,γ-Fe2O3@KSF,multicomponent,Solvent-free,magnetic}, url = {https://jpst.irost.ir/article_906.html}, eprint = {https://jpst.irost.ir/article_906_f4bc67ba846b4b103afff41f236fd152.pdf} }