Modeling and preparation of activated carbon for methane storage I. Modeling of activated carbon characteristics with neural networks and response surface method

Namvar-Asl, Mahnaz; Soltanieh, Mohammad; Rashidi, Alimorad; Irandoukht, Akbar

doi:10.1016/j.enconman.2008.01.039

Cited by 24 publications

(9 citation statements)

References 5 publications

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“…After activation, the samples were cooled down under N 2 flow and washed out twice with a 0.5 N hydrochloric acid and rinsed sequentially with cold distilled water for the removal of any residual chemical substances. The washed samples were dried at 110°C in an oven [23]. Samples with different weight ratios of activation agent (potassium hydroxide) to walnut shell, and with different activation temperatures, were prepared, and the sample with highest surface area, micropore volume and VOC adsorption capacity, was used as the support material for preparing the AC/CNF composite.…”

Section: Methodsmentioning

confidence: 99%

Preparation of a new adsorbent from activated carbon and carbon nanofiber (AC/CNF) for manufacturing organic-vacbpour respirator cartridge

Jahangiri

Javad

Shahtaheri

et al. 2013

J Environ Health Sci Engineer

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In this study a composite of activated carbon and carbon nanofiber (AC/CNF) was prepared to improve the performance of activated carbon (AC) for adsorption of volatile organic compounds (VOCs) and its utilization for respirator cartridges. Activated carbon was impregnated with a nickel nitrate catalyst precursor and carbon nanofibers (CNF) were deposited directly on the AC surface using catalytic chemical vapor deposition. Deposited CNFs on catalyst particles in AC micropores, were activated by CO2 to recover the surface area and micropores. Surface and textural characterizations of the prepared composites were investigated using Brunauer, Emmett and Teller’s (BET) technique and electron microscopy respectively. Prepared composite adsorbent was tested for benzene, toluene and xylene (BTX) adsorption and then employed in an organic respirator cartridge in granular form. Adsorption studies were conducted by passing air samples through the adsorbents in a glass column at an adjustable flow rate. Finally, any adsorbed species not retained by the adsorbents in the column were trapped in a charcoal sorbent tube and analyzed by gas chromatography. CNFs with a very thin diameter of about 10-20 nm were formed uniformly on the AC/CNF. The breakthrough time for cartridges prepared with CO2 activated AC/CNF was 117 minutes which are significantly longer than for those cartridges prepared with walnut shell- based activated carbon with the same weight of adsorbents. This study showed that a granular form CO2 activated AC/CNF composite could be a very effective alternate adsorbent for respirator cartridges due to its larger adsorption capacities and lower weight.

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Section: Methodsmentioning

confidence: 99%

Preparation of a new adsorbent from activated carbon and carbon nanofiber (AC/CNF) for manufacturing organic-vacbpour respirator cartridge

Jahangiri

Javad

Shahtaheri

et al. 2013

J Environ Health Sci Engineer

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“…The potential applications of carbon materials include gas storage, water treatment, solar cells, sensing devices, and virus capture. [ 21,59–63 ] In addition, measuring biological activity is important to determine a material's impact on health and the environment. [ 64,65 ] These applications and devices require identifying the relationships among material properties, surrounding conditions, and signals (electrical or optical), thus, ML methods can help to determine the correlations between these factors ( Table 3 ).…”

Section: Applications and Devicesmentioning

confidence: 99%

“…These data were used to predict the adsorbed natural gas volume in activated carbons with ANNs, and an average absolute deviation parameter of 2.4 was obtained. [ 59 ]…”

Section: Applications and Devicesmentioning

confidence: 99%

Data Science Applied to Carbon Materials: Synthesis, Characterization, and Applications

Morelos-Gómez

Terrones

Endo

2021

Advcd Theory and Sims

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Data science has been rapidly developed and implemented in diverse scientific and technological fields over the past decade, to accelerate new knowledge generation and develop high‐impact applications. Recently, different data science tools and techniques have been widely used, such as optimizations, regressions, and classifications of data (tabular, spectral, or visual). In this review, data science tools and techniques are discussed for their adoption for the synthesis, characterization, and applications of carbon‐based materials. Materials synthesis in conjunction with data science has resulted in optimal growth conditions with desired properties and processing techniques. Regarding characterization, molecular structures can be reconstructed using microscopy images, and a particular property can be predicted based on the other properties of the desired carbon material. Moreover, for the applications of carbon materials, data science has enabled prediction of the water treatment efficiency, classification of electronic signals, prediction of the biological activity, and virus classification. It is clear that by combining data science and carbon‐related materials, it is now possible to accelerate theory‐experimental research in the quest for novel materials and their emerging applications.

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“…In most cases, finding an appropriate and reliable model of a system is very difficult or even impossible. In another research, modeling of activated carbon characteristics with neural networks was presented by Namvar-Asl et al [10]. Moliner et al modeled multi-phase crystalline systems in zeolite synthesis by using artificial neural networks [9].…”

Section: Introductionmentioning

confidence: 99%

Application of genetic-fuzzy approach for estimation of nano ZSM-5 crystallinity

Soltanali

Halladj

Tayyebi³

et al. 2015

Materials Letters

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Modeling and preparation of activated carbon for methane storage I. Modeling of activated carbon characteristics with neural networks and response surface method

Cited by 24 publications

References 5 publications

Preparation of a new adsorbent from activated carbon and carbon nanofiber (AC/CNF) for manufacturing organic-vacbpour respirator cartridge

Preparation of a new adsorbent from activated carbon and carbon nanofiber (AC/CNF) for manufacturing organic-vacbpour respirator cartridge

Data Science Applied to Carbon Materials: Synthesis, Characterization, and Applications

Application of genetic-fuzzy approach for estimation of nano ZSM-5 crystallinity

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