• Title/Summary/Keyword: Chemical Engineering

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Environmental Assessment of Shotcrete Using Recycled Industrial By-Products (Fly Ash) and Silica Fume (산업부산물(플라이애시)과 실리카퓸을 재활용한 숏크리트의 환경유해성 평가)

  • Park, Cheolwoo;Sim, Jongsung;Kang, Taesung;Park, Seongeun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.3C
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    • pp.159-165
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    • 2010
  • The problems such as natural resource exhaustion, pollutant emission and waste generation are increasing worldwide with the industrial development. The quantity of the industrial by-product in Korea is 6 million tons a year, and even its basic treatment processes including landfill, incineration and storage have reached their limits. In this study, fly ash and silica fume were applied to shotcrete to develop a method for the reuse of resources and to increase the use of fly ash, which is an industrial waste. An environmental hazard evaluation is a must to actively address the worldwide environmental problems, though. Therefore, an environmental impact assessment was conducted using the chemical content analysis test and heavy metal exudation test, for ten mixtures that were obtained through the pre-mixing and compressive strength tests. The results of the compressive strength test showed that all mixtures satisfied national and international standards. Cr, Cd and Hg were not detected, and Pb was detected only in some cases with fly ash. Cu and As were detected in all mixtures, but all of them satisfied national and international standards.

Predicting fetal toxicity of drugs through attention algorithm (Attention 알고리즘 기반 약물의 태아 독성 예측 연구)

  • Jeong, Myeong-hyeon;Yoo, Sun-yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.273-275
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    • 2022
  • The use of drugs by pregnant women poses a potential risk to the fetus. Therefore, it is essential to classify drugs that pregnant women should prohibit. However, the fetal toxicity of most drugs has not been identified. This takes a lot of time and cost. In silico approaches, such as virtual screening, can identify compounds that may present a high risk to the fetus for a wide range of compounds at the low cost and time. We collected class information of each drug from the hazard classification lists for prescribing drugs in pregnancy by the government of Korea and Australia. Using the structural and chemical features of each drug, various machine learning models were constructed to predict fetal toxicity of drugs. For all models, the quantitative performance evaluation was performed. Based on the attention algorithm, important molecular substructures of compounds were identified in the process of predicting the fetal toxicity of the drug by the proposed model. From the results, we confirmed that drugs with a high risk of fetal toxicity can be predicted for a wide range of compounds by machine learning. This study can be used as a pre-screening tool for fetal toxicity predictions, as it provides key molecular substructures associated with the fetal toxicity of compounds.

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Hydrogeochemistry and Statistical Analysis for Low and Intermediate Level Radioactive Waste Disposal Site in Gyeongju (경주 중·저준위 방폐장의 수리지화학 및 통계 분석)

  • Soon-Il Ok;Sieun Kim;Seongyeon Jung;Chung-Mo Lee
    • Journal of the Korean earth science society
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    • v.44 no.6
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    • pp.629-642
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    • 2023
  • Currently, low and intermediate level radioactive waste is being disposed of at the Gyeongju disposal site for permanent isolation. Since 2006, the Korea Radioactive Waste Agency has been conducting site characteristics surveys continuously verifying changes in the site based on the site monitoring and investigation plan. The hydrogeochemical environment of the disposal site is considered for the evaluation of natural barriers. However, the seawater must be considered because of the regional characteristics of Gyeongju, which is near the East Sea. Therefore, this study, collected 30 samples for deriving the groundwater quality data from seven wells and compared with two seawater samples collected from October 2017 to June 2022. Additionally, the study explores the groundwater monitoring method using statistical tools such as clustering and background concentration analysis. The groundwater samples in the study area were classified into two to four clusters depending on their chemical constituents-especially, EC, HCO3, Na, and Cl-using statistical analysis, molar ratio, and K-means clustering.

Synthesis and Characteristic Evaluation of Downward Conversion Phosphor for Improving Solar Cell Performance (태양전지 성능향상을 위한 하향변환 형광체의 합성 및 특성평가)

  • Jae-Ho Kim;Ga-Ram Kim;Jin-To Choi;Soo-Jong Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.523-528
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    • 2023
  • The applicability as a material to improve solar cell performance was reviewed by synthesizing a phosphor that emits red wavelengths by a liquid synthesis method using a metal salt aqueous solution and a polymer medium as a starting material. An aqueous solution was prepared using nitrate of metals such as Ca, Zn, Al, and Eu, and a precursor impregnated with starch, a natural polymer, was sintered to synthesize CaZnAlO:Eu phosphor powder. The surface structure and composition analysis of the synthesized CaZnAlO:Eu phosphor powder were analyzed by scanning electron microscope(SEM) and energy-dispersed X-ray spectroscopy(EDS). The crystal structure of CaZnAlO:Eu phosphor particles was analyzed by an X-ray diffraction analyzer (XRD). As a result of measuring the photoluminescence(PL) characteristics of the phosphor, it was confirmed that a red phosphor with a light emitting wavelength of 650-780nm was successfully synthesized. According to SEM and EDS analysis, the synthesized Ca14Zn6Al9.93O35:Eu3+0.07 phosphor powder has a uniform particle size, and Eu ions used as an activator are present. The synthesized CZA:Eu3+ phosphor can be used as a material that can increase the light absorption efficiency of the solar cell by converting ultraviolet or visible light down conversion into a wavelength in the near-infrared region.

A Study on the Evaluation of the Adsorption Efficiency of Heavy Metals by the Content of Jellyfish Extract at Immunity Reaction in Alginate bead (알긴산 비드에 혼합된 해파리 면역 반응물질 함량에 따른 중금속 흡착효율 평가에 관한 연구)

  • Jong Hwan Kim;Hyeok Jin Park;Inho Choi;Eunjin Kim;I Song Choi;Jong-Min Oh
    • Journal of Environmental Impact Assessment
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    • v.32 no.6
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    • pp.431-436
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    • 2023
  • As the industry develops, the amount of heavy metals flowing into the ecosystem is increasing. Heavy metals are difficult to decompose and remain in the ecosystem for a long time and cause toxicity, which is removed by physicochemical methods such as adsorption, filtration, and chemical precipitation during water treatment. In this study, Alginate bead was selected as a chelating resin for adsorbing and removing heavy metals, and the Jellyfish Extract at Immunity reaction (JEI) were mixed to evaluate the adsorption efficiency of heavy metals accordingly. beads mixed with JEI showed high adsorption efficiency in lead (79-99%) and copper (64-70%) according to the characteristics of Alginate, and low adsorption efficiency in cadmium (25-37%) and zinc (5-6%). Although heavy metal adsorption did not increase in proportion to the content of JEI, 50% and 100% JEI beads showed significant increases. As a result of applying the reaction rate equation, it was found that it was more suitable for the pseudo-secondary reaction equation than the pseudo-first reaction equation.

A Study on Characteristics of Polymer Organic Hard Mask Synthesis (고분자 유기하드마스크 합성에 따른 특성에 관한 연구)

  • Woo-Sik Lee
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.5
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    • pp.217-222
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    • 2023
  • The purpose of this paper was to synthesize a polymer organic hard mask that simplifies the manufacturing process, reduces process time significantly, and thereby lowers manufacturing costs. The results of measuring residual metals through vapor refining showed that 9-Naphthalen-1-ylcarbazole(9-NC) measured 101.75ppb in the 4th zone, 2-Naphthol (2-NA) measured 306.98ppb in the 5th zone, and 9-Fluorenone(9-F) measured between 129.05ppb across the 4th and 5th zones. After passing through a filtration system, the synthesized organic hard mask measured residual metals in the range of 9 to 7ppb. Additionally, the thermal analysis indicated a decrease of 2.78%, a molecular weight of 942, carbon content of 89.74%, and a yield of 72.4%. The etching rate was measured at an average of 18.22Å/s, and the coating thickness deviation was averaged at 1.19. For particle sizes below 0.2㎛ in the organic hard mask, no particles were observed. By varying the coating speed at 1,000, 1,500, and 1,800rpm and measuring the resulting coating thickness, the shrinkage rate ranged from 17.9% to 20.8%. The coating results demonstrated excellent adhesion to SiON, and it was evident that the organic hard mask was uniformly applied.

The Effect of Basic Learning Ability Improvement Clinic Classes on Self-efficacy, Immersion, and Major Satisfaction in College Students

  • Jung-Oh Lee;Gyeoung-Ran Moon
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.11
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    • pp.135-145
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    • 2023
  • Due to the decrease in the school-age population, the number of freshmen at local college who lack basic learning skills is increasing. Thus, C college has been running a basic learning ability improvement clinic program. This paper is a case study that investigates the effect of basic learning ability improvement clinic programs on major class immersion, efficacy, and major class satisfaction. In 2022, a total of 459 students were surveyed, including 238 students who participated in online and offline classes for basic learning ability improvement clinics and 221 students who did not participate in classes. Data processing was performed using SPSS Ver. 26.0 was used. The results of this study are as follows. First, among the sub-factors of academic self-efficacy, the group participating in the basic learning ability improvement clinic showed significant differences in task difficulty preference and confidence. Second, the class participation group showed a significant difference in learning immersion in major classes. Third, the class participation group showed significant differences in all sub-factors of major satisfaction. In conclusion, it was found that the basic learning ability improvement clinic class had a significant effect on academic self-efficacy, learning immersion, and major satisfaction.

DNA Yield and PCR Success Rate of the Establishment Time of Wood Annual Ring: A Case Study of Korean Red Pine (Pinus densiflora) (목재의 나이테 생성 시기에 따른 DNA 추출 수율 및 PCR 성공률: 소나무(Pinus densiflora) 목재의 사례)

  • So Hyeon Kim;Byeong-Ju Lee;Ji Young Ahn;Jei-Wan Lee;Hyun-Mi Lee;Soo Hyung Eo
    • Journal of Korean Society of Forest Science
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    • v.112 no.4
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    • pp.554-560
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    • 2023
  • To prevent illegal timber distribution, DNA markers have been used to identify the species and origin. However, extracting high-quality DNA from timber is difficult because of its physical and chemical properties. In this study, we investigated whether the age of timber tissue influences the yield of DNA extraction and the success rate of polymerase chain reaction (PCR) to understand the relationship between the establishment time of the wood annual ring and the extracted DNA concentration (ng/μl), purity (A260/A280), and PCR success rate (%) from pinewood, a major Korean domestic species. According to the results, it was observed that as the distance from the cambium increased, indicating that the tissue was older, the concentration and purity of the extracted DNA decreased significantly. For the trnM-trnV (285 bp) and rpoC1 (298 bp) regions, the PCR success rate was 100%. However, for the rbcL (1.3 kb) region, the PCR success rate was 66.67%. Moreover, PCR amplification of the rbcL region failed at all points older than 30 years. Thus, it is deduced that as time passes, along with the decay of timber cells, DNA is degraded, leading to a decrease in DNA concentration, purity, and PCR success rate. The results of this study are expected to be beneficial for future applications, such as the species identification of timber, providing valuable insights and potential utilization in this field.

Comparison Analysis on Characteristics and Components of Various Waste Plastic Pyrolysis Oils by Vacuum Distillation Method (감압증류를 통해 분획된 폐플라스틱 열분해유의 특성평가와 구성성분 비교분석 연구)

  • Hwayeon Jeon;Cheol Hwan Jeon;Sung Joon Park;Jae Woo Lee;Jae-kon Kim
    • Clean Technology
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    • v.29 no.4
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    • pp.262-271
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    • 2023
  • Globally, the amount of waste plastics has been occurring to environmental problems. As a result, it is necessary to research methods that utilize waste plastic pyrolysis oil (WPPO) produced by pyrolysis. One such method being studied is utilizing WPPO as a naphtha feedstock. In this study, five types of WPPO were analyzed to determine whether they can be used as raw materials for naphtha. Because of their wide boiling point range, the WPPOs were fractionated into light and heavy fractions through vacuum distillation, and the separation and purification techniques were analyzed using GC-VUV to determine the content of paraffin, olefin, and other compounds. All WPPOs showed high olefin content regardless of the source and fraction. Aromatic and paraffin content varied depending on the source, and oxygen and other compounds also varied significantly by source and fraction. In addition, the light fraction showed a carbon distribution similar to that of naphtha, whereas the heavy fraction showed a carbon distribution of C11 ~ C14. In conclusion, additional processes and raw material selection are required to utilize waste plastic pyrolysis oil as a raw material for naphtha.

Utilization of EPRI ChemWorks tools for PWR shutdown chemistry evolution modeling

  • Jinsoo Choi;Cho-Rong Kim;Yong-Sang Cho;Hyuk-chul Kwon;Kyu-Min Song
    • Nuclear Engineering and Technology
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    • v.55 no.10
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    • pp.3543-3548
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    • 2023
  • Shutdown chemistry evolution is performed in nuclear power plants at each refueling outage (RFO) to establish safe conditions to open system and minimize inventory of corrosion products in the reactor coolant system (RCS). After hydrogen peroxide is added to RCS during shutdown chemistry evolution, corrosion products are released and are removed by filters and ion exchange resins in the chemical volume control system (CVCS). Shutdown chemistry evolution including RCS clean-up time to remove released corrosion products impacts the critical path schedule during RFOs. The estimation of clean-up time prior to RFO can provide more reliable actions for RCS clean-up operations and transients to operators during shutdown chemistry. Electric Power Research Institute (EPRI) shutdown calculator (SDC) enables to provide clean-up time by Co-58 peak activity through operational data from nuclear power plants (NPPs). In this study, we have investigated the results of EPRI SDC by shutdown chemistry data of Co-58 activity using NPP data from previous cycles and modeled the estimated clean-up time by EPRI SDC using average Co-58 activity of the NPP. We selected two RFO data from the NPP to evaluate EPRI SDC results using the purification time to reach to 1.3 mCi/cc of Co-58 after hydrogen peroxide addition. Comparing two RFO data, the similar purification time between actual and computed data by EPRI SDC, 0.92 and 1.74 h respectively, was observed with the deviation of 3.7-7.2%. As the modeling the estimated clean-up time, we calculated average Co-58 peak concentration for normal cycles after cycle 10 and applied two-sigma (2σ, 95.4%) for predicted Co-58 peak concentration as upper and lower values compared to the average data. For the verification of modeling, shutdown chemistry data for RFO 17 was used. Predicted RCS clean-up time with lower and upper values was between 21.05 and 27.58 h, and clean-up time for RFO 17 was 24.75 h, within the predicted time band. Therefore, our calculated modeling band was validated. This approach can be identified that the advantage of the modeling for clean-up time with SDC is that the primary prediction of shutdown chemistry plans can be performed more reliably during shutdown chemistry. This research can contribute to improving the efficiency and safety of shutdown chemistry evolution in nuclear power plants.