• Title/Summary/Keyword: Chemical Process

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Review for Physical and Chemical Process for Heavy Metal Treatment

  • Jeon, Choong
    • Clean Technology
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    • v.18 no.4
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    • pp.341-346
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    • 2012
  • Many researchers have studied that many processes to effectively remove heavy metals in water/wastewater. Especially, among many processes, physical and chemical processes are relatively simple and obtain high treatment efficiency for removal heavy metals compared with biological treatment. Recently, interests in physical and chemical methods are sharply increasing again because of dangerousness for radioactive element. In this study, various physical and chemical processes such as chemical precipitation, ion-exchange, electrodialysis, and membrane separation are introduced.

Design of Chemical Supply System for New Generation Semiconductor Wet Station (차세대 반도체 세정 장비용 약액 공급 시스템 연구)

  • 홍광진;백승원;조현찬;김광선;김두용;조중근
    • Proceedings of the Korean Society Of Semiconductor Equipment Technology
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    • 2004.05a
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    • pp.123-128
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    • 2004
  • Semiconductor Wet Station has a very important place in semiconductor process. It is important that to discharge chemical with fit concentration and temperature using chemical supply system for clean process. The chemical supply system which is used currently is not only difficult to make a fit mixing rate of chemical which is need in clean process, but also difficult to make fit concentration and temperature. Moreover, it has high stability but it is inefficient spatially because its volume is great. We propose In-line System to improve system with implement analysis of fluid and thermal transfer on chemical supply system and understand problem of system.

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DEVELOPMENT OF MEMBRANE AND COLD-CONDENSATION PROCESS FOR REMOVAL AND RECOVERY OF VOLATILE ORGANIC COMPOUNDS

  • Kim, Sung-Soo;Lee, Jong-Hwa;Kim, Hyunki;Kim, Sang-Yong
    • Proceedings of the Membrane Society of Korea Conference
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    • 2003.07a
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    • pp.69-72
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    • 2003
  • Volatile organic compounds (VOC) cause air pollution problem and deterioration of atmosphere of petrochemical and fine chemical plants. Hybrid process of membrane and cold-condensation were developed and it effectively removed and recycled the VOC. Operation parameters of the process were optimized to attain hish removal and recycle of VOC. Composite membranes for organic vapor separation were developed in this work by PDMS coating and plasma polymerization on polypropylene and polysulfone support membranes. PDMS and various silicone monomers were tested for several organic vapors such as benzene, toluene, TCE, and HCFC, which are produced in petrochemical and fine chemical industry and causes air pollution problems if are released to atmosphere. Composite membranes prepared in this work showed appreciable performance in terms of organic vapor removal and reuse. Performance variation of the membranes was correlated with their surface characteristics.

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Characterization of Chemical Vapor Condensation Reactor for Parylene-N Thin Film Deposition

  • Lee, Jong-Seung;Yeo, Seok-Ki;Park, Chin-Ho
    • 한국정보디스플레이학회:학술대회논문집
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    • 2003.07a
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    • pp.897-900
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    • 2003
  • Chemical vapor condensation (CVC) reactor was investigated for the deposition of Parylene-N thin films as the passivation layer for organic light emitting diodes (OLEDs). Several gas inlet manifold designs were tested to improve the deposition rate and its uniformity, and it was found that proper inlet design is crucial to get the desired film properties. Process characterization was also performed with the modified inlets to optimize the process variables.

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Explainable Artificial Intelligence (XAI) Surrogate Models for Chemical Process Design and Analysis (화학 공정 설계 및 분석을 위한 설명 가능한 인공지능 대안 모델)

  • Yuna Ko;Jonggeol Na
    • Korean Chemical Engineering Research
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    • v.61 no.4
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    • pp.542-549
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    • 2023
  • Since the growing interest in surrogate modeling, there has been continuous research aimed at simulating nonlinear chemical processes using data-driven machine learning. However, the opaque nature of machine learning models, which limits their interpretability, poses a challenge for their practical application in industry. Therefore, this study aims to analyze chemical processes using Explainable Artificial Intelligence (XAI), a concept that improves interpretability while ensuring model accuracy. While conventional sensitivity analysis of chemical processes has been limited to calculating and ranking the sensitivity indices of variables, we propose a methodology that utilizes XAI to not only perform global and local sensitivity analysis, but also examine the interactions among variables to gain physical insights from the data. For the ammonia synthesis process, which is the target process of the case study, we set the temperature of the preheater leading to the first reactor and the split ratio of the cold shot to the three reactors as process variables. By integrating Matlab and Aspen Plus, we obtained data on ammonia production and the maximum temperatures of the three reactors while systematically varying the process variables. We then trained tree-based models and performed sensitivity analysis using the SHAP technique, one of the XAI methods, on the most accurate model. The global sensitivity analysis showed that the preheater temperature had the greatest effect, and the local sensitivity analysis provided insights for defining the ranges of process variables to improve productivity and prevent overheating. By constructing alternative models for chemical processes and using XAI for sensitivity analysis, this work contributes to providing both quantitative and qualitative feedback for process optimization.

Fault Detection & SPC of Batch Process using Multi-way Regression Method (다축-다변량회귀분석 기법을 이용한 회분식 공정의 이상감지 및 통계적 제어 방법)

  • Woo, Kyoung Sup;Lee, Chang Jun;Han, Kyoung Hoon;Ko, Jae Wook;Yoon, En Sup
    • Korean Chemical Engineering Research
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    • v.45 no.1
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    • pp.32-38
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    • 2007
  • A batch Process has a multi-way data structure that consists of batch-time-variable axis, so the statistical modeling of a batch process is a difficult and challenging issue to the process engineers. In this study, We applied a statistical process control technique to the general batch process data, and implemented a fault-detection and Statistical process control system that was able to detect, identify and diagnose the fault. Semiconductor etch process and semi-batch styrene-butadiene rubber process data are used to case study. Before the modeling, we pre-processed the data using the multi-way unfolding technique to decompose the data structure. Multivariate regression techniques like support vector regression and partial least squares were used to identify the relation between the process variables and process condition. Finally, we constructed the root mean squared error chart and variable contribution chart to diagnose the faults.

Physico-Chemical Pretreatment of Herbaceous Biomass by Organosolv Flow-Through Process (초본계 바이오매스의 물리-화학적 유기용매 전처리 공정)

  • Kim, Jun Seok
    • Korean Chemical Engineering Research
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    • v.56 no.4
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    • pp.441-446
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    • 2018
  • Herbaceous biomass is easier at chemical conversion than woody biomass. However, pretreatment must be needed because it has substantially lignin. Organsolv is good at fractionation of enzymatic hydrolysis inhibitors such as lignin and it is reusable by distillation when it has low molecular weight. Flow-through process can prevent recondensation of fractionated components and easily separate liquid from the biomass. In this study, the pretreatment was performed for decreasing additional process by using ethanol without catalyst because this process has a lot of operation expense at bio-alcohol production process. Flow-through pretreatment was performed at $150{\sim}190^{\circ}C$ with 30~99.5 wt% ethanol during 20~60 minutes. Also the phsyco-chemical pretreatment was performed for decreasing reaction time and temperature.

Life Cycle Assessment of Ethanol Production Process Based on Fermentation (발효에 의한 에탄올 생산공정의 전 과정 평가)

  • Chung, Yonsoo;Hwang, Ilhoon;Kim, In-Won;Moon, Il;Yeo, Yeong-Koo
    • Korean Chemical Engineering Research
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    • v.44 no.3
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    • pp.319-322
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    • 2006
  • In this paper, the methodology of life-cycle assessment was applied to an ethanol production process based on fermentation. The purpose of the assessment was to quantify environmental performance of the process and to prepare a basis for environmental comparisons with the ethanol production process based on catalytic reaction. The assessment was carried only on the stages of raw material acquisition through ethanol manufacture since it was assumed that ethanol from both processes had the same environmental impacts through its use and discard. The assessment results showed that the major environmental impact came from the sub-process of producing starch from corn and the most severe burden was generated in the form of acidification and greenhouse effect.

Changes of Chemical Constituents of Rehmannia Radix during 'Steaming and Drying' Process (증폭(蒸曝)에 의한 지황(地黃)의 성분 변화에 대한 고찰)

  • Jung, Jae woo;Kim, Han young;Lyu, Ji hyo;Kim, Jung-Hoon
    • The Korea Journal of Herbology
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    • v.36 no.6
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    • pp.47-61
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    • 2021
  • Objectives : 'Steaming and drying' is a traditional processing method that has been used to produce Suk-ji-hwang (熟地黃; Rehmanniae Radix Preparata) from Ji-hwang (地黃, the fresh root of Rehmannia glutinosa Liboschitz ex Steudel; Rehmanniae Radix). The steaming and drying process, which is proceeded in heating and moisturizing conditions, plays a crucial role in the change of therapeutic effect of Ji-hwang, presumably due to the modification of its chemical constituents. In this article, the chemical influence of the 'Steaming and drying' process was investigated for understanding the underlying mechanism of chemical modification of Ji-hwang. Methods : The articles regarding the modifications of chemical constituents of Ji-hwang during the 'Steaming and drying' process were collected and analyzed to investigate the influence of the processing to Ji-hwang. Results : The results indicated that iridoid glycosides were degraded to their aglycones and sugars, and such degradations occurred faster at a high pressure than at an atmospheric pressure during the process. The contents of catalpol, ajugol, and acteoside were decreased, while those of rehmannioside A and D were slightly increased during the repeated processing. The contents of oligosaccharides, namely sucrose, maltose, raffinose, and stachyose (except for manninotriose), were decreased, while those of monosaccharides, glucose and fructose, were increased by the repeated processing. Conclusions : These results demonstrate that the 'Steaming and drying' process influenced the chemical constituents of Ji-hwang and provide probable basis for the therapeutic modification of Suk-ji-hwang after the processing of Ji-hwang.

Inactivation of Seawater Zooplankton Aretemia sp. using Physical and Chemical Processes (물리·화학적 공정을 이용한 해수 동물성 플랑크톤 Aretemia sp.의 소독)

  • Zheng, Cheng;Kim, Dong-Seog;Park, Young-Seek
    • Journal of Environmental Science International
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    • v.24 no.9
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    • pp.1181-1188
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    • 2015
  • In this study, we discussed about the application of the single physical and chemical treatment processes and the physical-chemical complex treatment processes on the inactivation of Artemia sp. in order to satisfy the USCG Phase II (United States Coast Guard). The results showed that initial disinfection rate of ultrasonic process in single batch process is higher than that of electrolysis. However, the inactivation rate showed slower than electrolysis. The inactivation rate of Artemia sp. on the single continuous treatment process ranked in the following order: homogenizer > electrolysis > ultrasonic process. Inactivation rate of Artemia sp. in continuous homogenizer-electrolysis complex process was reached at 100% immediately. A synergistic effect of ultrasonic-electrolytic complex process was found to be a small. The order of processes in a complex process did not affect the disinfection performance.