Development of Corrosion Control Document Database System in Crude Distillation Unit

Kim, Junghwan; Lim, Wonsub; Lee, Younghee; Kim, Seungnam; Park, Sang Rok; Suh, Sun Kyu; Moon, Il

doi:10.1021/ie101871a

Cited by 27 publications

(22 citation statements)

References 6 publications

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“…The impedance diagrams obtained were not perfect semicircles, and this difference has been attributed to frequency dispersion (Zarrouk et al , 2013; Kim et al , 2011; Mansfeld, 1981). It is noteworthy that the best fit of the experimental data was obtained using constant phase elements (CPE), which have frequency dispersion rather than capacitances.…”

Section: Resultants and Discussionmentioning

confidence: 95%

Inhibition effect of E and Z conformations of 2-pyridinealdazine on mild steel corrosion in phosphoric acid

Belghiti

Nahlé

Ansari³

et al. 2017

ACMM

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Purpose This paper aims to study the inhibition effect of 2-pyridinealdazine on the corrosion of mild steel in an acidic medium. The inhibition effect was studied using weight loss, electrochemical impedance spectroscopy, and Tafel polarization measurements. Design/methodology/approach Weight loss measurements, potentiodynamic tests, electrochemical impedance spectroscopy, X-ray diffraction and spectral and conformational isomers analysis of A (E-PAA) and B (Z-PAA) were performed were investigated. Findings 2-pyridinealdazine (PAA) acts as a good inhibitor for the corrosion of steel in 2.0 M H3PO4. The inhibition efficiency increases with an increase in inhibitor concentration but decreases with an increase in temperature. Originality/value This paper is intended to be added to the family of azines which are highly efficient inhibitors and can be used in the area of corrosion prevention and control.

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Section: Resultants and Discussionmentioning

confidence: 95%

Inhibition effect of E and Z conformations of 2-pyridinealdazine on mild steel corrosion in phosphoric acid

Belghiti

Nahlé

Ansari³

et al. 2017

ACMM

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“…To solve these problems, theoretical simulation analysis methods based on mathematical modeling have traditionally been used for control, optimization, and scheduling, regardless of the type of target process. Process optimization using mathematical modeling has been extensively applied in various processes such as distillation processes 1–7 . For example, Gu et al have been performed for the energy optimization of the multistage crude oil distillation process using methods that combine energy analysis and mathematical programming 1 .…”

Section: Introductionmentioning

confidence: 99%

“…Kim et al developed a knowledge‐based corrosion control system in a crude oil distillation unit process. The cause of corrosion in the distillation column unit can be determined using this system, and the column can be prepared in advance that is before the onset of corrosion 2–5 …”

Section: Introductionmentioning

confidence: 99%

A framework for energy optimization of distillation process using machine learning‐based predictive model

Park

Kwon

Cho

et al. 2022

Energy Science & Engineering

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The distillation process is one of the most common and energy‐intensive processes in the chemical industry. Most chemical processes are nonlinear and complex, because of which, it is difficult to find optimal operating conditions. To solve this problem, we developed a framework for energy optimization of the distillation process based on a machine learning (ML) model. The framework enables the efficient operation of the process by using the optimal operating conditions recommended by the ML‐based predictive model. The predictive model, which is a key component, is developed in three steps: learning, validation, and improvement. In the learning step, we select an algorithm suitable for the purpose of the process and learn process data. In the validation step, the model is validated using hold‐out cross‐validation. Finally, in the improvement step, the model performance is improved through hyper‐parameter optimization. We applied the framework to a commercial mixed butane distillation columns of 45,000 metric tons per annum capacity. The predictive model was based on commercial process data, and it can be used to predict the temperature at the product stage. The model recommended the steam flow rate required to maintain the target temperature of the product stage as per the operating conditions. The recommended steam flow rate will be guideline for the on‐site operator. The software is developed that the predictive model can be easily applied to the commercial processes, and it identifies the state of the process and recommends optimal operating conditions.

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“…Metal material is broadly used due to its excellent mechanical property and workability. However, oxidation/corrosion occurs frequently in the field of the ocean, aerospace or other villainous environments, which leads to its limited application . Therefore, we have to put the manpower, material resources and financial resources into the maintenance .…”

Section: Introductionmentioning

confidence: 99%

Si₃N₄@RGO Hybrids for Epoxy Coatings With Enhanced Anticorrosion Performance

Wang

Cheng

2018

Polymer Composites

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The reduced graphene oxide (RGO)‐encapsulated functionalized silicon nitride hybrids (f‐Si3N4@RGO) were fabricated from sodium borohydride reduction of electrostatically assembled f‐Si3N4@GO hybrids with the help of silane coupling agent. The waterborne epoxy coating with 2 wt% f‐Si3N4@RGO was prepared by a room temperature curing process. The corrosion resistance properties of the coating were investigated. In the f‐Si3N4@RGO/epoxy coating, the unique structure of f‐Si3N4 particles firmly embedded in the RGO sheets could effectively prevent the agglomeration of graphene in the epoxy and construct shielding barrier at the coating‐tinplate interface. The results showed that the anticorrosive performance of the coating was significantly enhanced by incorporation of f‐Si3N4@RGO hybrids to epoxy. This superior f‐Si3N4@RGO structure with its prominent dispersion could make full use of the enhancement effect of the different components and thus endowed the waterborne epoxy coating with good shielding properties. POLYM. COMPOS., 2018. © 2018 Society of Plastics Engineers

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Development of Corrosion Control Document Database System in Crude Distillation Unit

Cited by 27 publications

References 6 publications

Inhibition effect of E and Z conformations of 2-pyridinealdazine on mild steel corrosion in phosphoric acid

Inhibition effect of E and Z conformations of 2-pyridinealdazine on mild steel corrosion in phosphoric acid

A framework for energy optimization of distillation process using machine learning‐based predictive model

Si₃N₄@RGO Hybrids for Epoxy Coatings With Enhanced Anticorrosion Performance

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Development of Corrosion Control Document Database System in Crude Distillation Unit

Cited by 27 publications

References 6 publications

Inhibition effect of E and Z conformations of 2-pyridinealdazine on mild steel corrosion in phosphoric acid

Inhibition effect of E and Z conformations of 2-pyridinealdazine on mild steel corrosion in phosphoric acid

A framework for energy optimization of distillation process using machine learning‐based predictive model

Si3N4@RGO Hybrids for Epoxy Coatings With Enhanced Anticorrosion Performance

Contact Info

Product

Resources

About

Si₃N₄@RGO Hybrids for Epoxy Coatings With Enhanced Anticorrosion Performance