• Title/Summary/Keyword: Green process

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Computation of the Green Water Design Impact Loads Acting on the Box-Type Structure of a High-Speed Ship's Bow (고속선박의 선수부 상자형 구조물에 작용하는 Green Water 설계 충격하중의 산출)

  • Kim, Yong Jig;Kim, In Chul;Shin, Sangmook
    • Journal of the Society of Naval Architects of Korea
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    • v.54 no.1
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    • pp.34-42
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    • 2017
  • In rough seas, green water shipped on board may impose quite large impact loads on the structures on deck and sometimes result in structure damages. One of the essential tasks of the naval fluid engineers is to provide the design impact loads which are needed for proper design of the structure strength against the green water impacts. Computation of the design impact load due to green water needs first a process to find the sea condition and the ship cruising condition which cause maximum green water impacts on structures as well as other succeeding processes to compute ship motion responses, green water flows and impact loads. Also, as a bold and practical process, it is needed that the irregular real seas are to be substituted by design regular waves which are equivalent in view points of green water impacts. In this paper, the whole processes to compute the design green water loads acting on bow structure are set up creatively. And the green water design impact loads acting on the box-type structure of a high-speed ship's bow are computed and discussed.

Highly Sensitive Luminescence Assessment of Bile Acid Using a Balofloxacin-Europium(III) Probe in Micellar Medium

  • Cai, Huan;Zhao, Fang;Si, Hailin;Zhang, Shuaishuai;Wang, Chunchun;Qi, Peirong
    • Bulletin of the Korean Chemical Society
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    • v.33 no.12
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    • pp.4145-4149
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    • 2012
  • A novel and simple method of luminescence enhancement effect for the determination of trace amounts of bile acid was proposed. The procedure was based on the luminescence intensity of the balofloxacin-europium(III) complex that could be strongly enhanced by bile acid in the presence of sodium dodecyl benzene sulfonate (SDBS). Under the optimum conditions, the enhanced luminescence intensity of the system exhibited a good linear relationship with the bile acid concentration in the range $5.0{\times}10^{-9}-7.0{\times}10^{-7}\;mol\;L^{-1}$ with a detection limit of $1.3{\times}10^{-9}\;mol\;L^{-1}$ ($3{\sigma}$). The relative standard deviation (RSD) was 1.7% (n = 11) for $5.0{\times}10^{-8}\;mol\;L^{-1}$ bile acid. The applicability of the method to the determination of bile acid was demonstrated by investigating the effect of potential interferences and by analyzing human serum and urine samples. The possible enhancement mechanism of luminescence intensity in balofloxacin-europium(III)-bile acid-SDBS system was also discussed briefly.

Development of Machine Learning-Based Platform for Distillation Column (증류탑을 위한 머신러닝 기반 플랫폼 개발)

  • Oh, Kwang Cheol;Kwon, Hyukwon;Roh, Jiwon;Choi, Yeongryeol;Park, Hyundo;Cho, Hyungtae;Kim, Junghwan
    • Korean Chemical Engineering Research
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    • v.58 no.4
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    • pp.565-572
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    • 2020
  • This study developed a software platform using machine learning of artificial intelligence to optimize the distillation column system. The distillation column is representative and core process in the petrochemical industry. Process stabilization is difficult due to various operating conditions and continuous process characteristics, and differences in process efficiency occur depending on operator skill. The process control based on the theoretical simulation was used to overcome this problem, but it has a limitation which it can't apply to complex processes and real-time systems. This study aims to develop an empirical simulation model based on machine learning and to suggest an optimal process operation method. The development of empirical simulations involves collecting big data from the actual process, feature extraction through data mining, and representative algorithm for the chemical process. Finally, the platform for the distillation column was developed with verification through a developed model and field tests. Through the developed platform, it is possible to predict the operating parameters and provided optimal operating conditions to achieve efficient process control. This study is the basic study applying the artificial intelligence machine learning technique for the chemical process. After application on a wide variety of processes and it can be utilized to the cornerstone of the smart factory of the industry 4.0.

The Fermentation Analysis of Mungyeong Green Apple (문경 풋사과를 활용한 발효 연구)

  • Kwon, Soon Goo;Choi, Sun Mi;Woo, Ji Hee;Supeno, Destiani;Choi, Won Sik
    • Journal of the Korean Society of Industry Convergence
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    • v.19 no.4
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    • pp.231-236
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    • 2016
  • In this study, Green apple from Mungyeong area was used as material in the fermentation process. In apple fruit growing process, to produce a high quality apple fruit, some Green apple should be removed. Since the removed Green apple fruit is inedible, it doesn't have any economical value. To solve this problem, this paper proposed fermentation process to increase the economical value of raw apple as a fermentation product. This research conducted seven days, and the pH and brix value analysis was done every 12 hours during fermentation process. The experimental results show that the fermentation product under blender treatment is better than cutting treatment and without cutting treatment. Initial brix 25% is the best treatment for fermentation because produce fermentation product with a good taste and aroma than other treatment.

Analysis of Ni/Cu Metallization to Investigate an Adhesive Front Contact for Crystalline-Silicon Solar Cells

  • Lee, Sang Hee;Rehman, Atteq ur;Shin, Eun Gu;Lee, Doo Won;Lee, Soo Hong
    • Journal of the Optical Society of Korea
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    • v.19 no.3
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    • pp.217-221
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    • 2015
  • Developing a metallization that has low cost and high efficiency is essential in solar-cell industries, to replace expensive silver-based metallization. Ni/Cu two-step metallization is one way to reduce the cost of solar cells, because the price of copper is about 100 times less than that of silver. Alkaline electroless plating was used for depositing nickel seed layers on the front electrode area. Prior to the nickel deposition process, 2% HF solution was used to remove native oxide, which disturbs uniform nickel plating. In the subsequent step, a nickel sintering process was carried out in $N_2$ gas atmosphere; however, copper was plated by light-induced plating (LIP). Plated nickel has different properties under different bath conditions because nickel electroless plating is a completely chemical process. In this paper, plating bath conditions such as pH and temperature were varied, and the metal layer's structure was analyzed to investigate the adhesion of Ni/Cu metallization. Average adhesion values in the range of 0.2-0.49 N/mm were achieved for samples with no nickel sintering process.

Effects of Microwave Heating on Processing of Whole Sweetpotatoes (마이크로파 가열에 의한 고구마의 가공 특성)

  • Kum, Jun-Seok;Silva, Juan L.;Han, Ouk
    • Korean journal of food and cookery science
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    • v.10 no.2
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    • pp.138-141
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    • 1994
  • Whole, peeled sweetpotatoes were subjected to four different processes: 15 min microwave heating followed by 15 min baking (1), 90 min baking (2), 15 min microwave heating (3), and 15 min boiling followed by 15 min microwave heating (4). Samples of green and cured roots were used in the study. Scanning electron photomicrographs revealed that cured roots contained larger numbers of starch granules in the parenchyma cells than green roots, most of them compounded. The starch in cooked green roots was gelatinized while for cured roots it was mostly hydrolyzed into dextrins and sugars. Starch in process (3) roots was mostly gelatinized while in process (1) and process (2) roots gelatinized starch appeared in little quantity, thus it was primarily converted to dextrins and sugars. The process (4) resulted in little conversion of starch. The process (1) product resulted in a similar product to the process (2) product.

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R&D Project Selection Methodology for Green Technology : Focused on Developing Country-Oriented Technology Commercialization (녹색기술 유망 R&D 과제 선정 방법론 : 개도국향 기술사업화를 중심으로)

  • Park, Chulho;Han, Joon;Ku, Jisun;Lee, Sanghoon;Lee, Hakyeon
    • Journal of Korean Institute of Industrial Engineers
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    • v.43 no.1
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    • pp.49-61
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    • 2017
  • This paper proposes an R&D project selection methodology for green technology centered on developing country-oriented technology commercialization. Eight selection criteria are derived from the R&BD logic model : technology needs of developing countries, effectiveness of green technology, technological potentials, domestic technological capability, commercialization feasibility, economic benefits, business feasibility, and spillover effects of developing countries. 21 qualitative and quantitative indicators are then defined for each criterion. The analytic hierarchy process is conducted to produce relative importance of evaluation indicators and to set final priority scores of R&D project candidates. The working of the proposed methodology is provided with the help of a case study example of Green Technology Center. The proposed methodology is expected to be effectively utilized for policy practices of R&D project selection in the field of green technology.

Studies on Density Measurement of Green Fe/Ni P/M Sheet Using ${\gamma}-ray$ (감마선을 이용한 소결 전 Fe/Ni 분말야금 판재의 밀도측정에 관한 연구)

  • Cho, K.S.;Lee, J.O.;Lee, S.Y.;Lee, J.S.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.12 no.3
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    • pp.7-11
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    • 1992
  • Accurate measurement of green density of compacted part in the powder metallurgy industry is rather fundamental but extremely important process that decide the quality of the sintered part. In case of green sheet P/M product, the green density as well as the distribution of the density must be examined for the same reasons. Currently in most cases, density measuring process is being performed applying conventional Archimedes principles. However this method is not only time-consuming but also often inaccurate because of the inherent nature of the process, such as part sectioning, closing of surface porosity with wax and weighing in air and in water. Therefore, it is necessary to develop a faster and more accurate method to measure the density of green sheet P/M product. In this work, a nondestructive density measurement device using gamma-ray absorption principles was constructed and the optimum condition for measuring green density of P/M sheet and its distribution was sought. The results showed that this method was very effective in terms of measuring time and accuracy.

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A study on selective emitter formed by single diffusion step for crystalline silicon solar cells (결정질 실리콘 태양전지에 적용될 Single diffusion step으로 형성한 selective emitter 관한 연구)

  • Kim, Min-Jeong;Lee, Jae-Doo;Lee, Soo-Hong
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2010.06a
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    • pp.234-234
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    • 2010
  • Most high efficiency silicon solar cells use a passivated selective emitter. It have been an important research subject for crystalline silicon solar cells for decades. It is being used in production for high efficiency solar cells. Most of the selective emitter process require expensive extra masking, etching steps, and a double diffusion process making selective emitters not cost effective. In this paper, we study method for single diffusion step selective emitter process as an alternative to not cost effective double diffusion process. Cost effective selective emitter that the efficiency should be increased significantly (mare than 0.2%) and that the process should simple, robust and cheap.

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A Study on the Quality Control of Chicken meat salad by Adding Green Tea Extracts Using Cook-Chill System(II) (Cook-Chill System을 이용한 닭고기 샐러드의 녹차추출물 첨가에 따른 품질 평가(II))

  • Kim Heh-Young;Ko Sung-Hee
    • Korean journal of food and cookery science
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    • v.21 no.4 s.88
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    • pp.466-474
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    • 2005
  • This study aimed to determine the microbiological quality obtained by adding green tea extracts to prepare cook-chill foods. For this study, chicken meat salad was blended with green tea extracts at concentrations of 0, 2 and $3\%$ and prepared for a cook-chill system. The microbiological effects of green tea extracts were assessed during the production process by measuring process time, temperature, pH and Aw and by determining total plate counts and coliforms. The effects of green tea extracts on total plate counts and coliforms were observed during cold storage at $3^{\circ}C$ for five days. Green tea extracts improved the microbiological quality and showed antibacterial properties when added to chicken meat salad prepared in a cook-chill production system. The use of green tea extracts should be further explored as a means of enhancing freshness and quality in cook-chill foods.