• Title/Summary/Keyword: Plant Material

검색결과 2,185건 처리시간 0.026초

Optimization of Biphenyl Chloromethylation Process

  • Pak, V.V.;Karimov, R.K.;Shakhidoyatov, Kh.M.;Soh, Deawha
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2000년도 하계학술대회 논문집
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    • pp.707-710
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    • 2000
  • Optimization of the biphenyl chloromethylation process with para-formaldehyde has been investigated in the presence of ZnCl$_2$with HCI gas by the Box-Wilson method of mathematical planning of experiment. The 4,4'- (dichloromethyl)-biphenyl yield dependence on the biphenyl para-formaldehyde ratio, temperature and reaction duration has been studied. A mathematical model of the process has been developed and optimal conditions for the biphenyl chloromethylation procedure has been determined.

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A Study on the Corrosion and Degradation of Boiler Tubes Steel in Fossil Power Plant

  • Baik, Young Min;Jeong, Hee Don;Kweon, Young Gak
    • Corrosion Science and Technology
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    • 제5권4호
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    • pp.123-128
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    • 2006
  • It was analyzed the causes of boiler tube rupture due to a degradation and corrosion on the boiler tubes in fossil power plant. The experiments were carried out among samples taken from the operating facilities. The result were analyzed based on experimental results from mechanical strength, microstructure observation, and hardness measurement in order to determine the cause of local rupture on boiler tubes. In general, 2.25Cr-1Mo steel generates carbides, it is coarsened, its ductility and strength abruptly decreased as degradation is in progress, In order to confirm this phenomenon, we observed changes of the mount of Cr and Mo of carbide by carrying out EDX chemical composition analysis. The amount of Cr and Mo in the degraded material or service exposed material gradually increased the amount of Mo but initially they were almost maintained at the same amount. Furthermore, we observed that the carbide become coarsened both in the grain and at the grain boundary. Tensile test was carried out to measure a material hardness and to recognize a drop-off of hardness. Overall result for tensile strength and hardness turned out to be lower than new material and mechanical strength and hardness was degraded as the material degradation was in progress.

A Model for Material Handling is an Elevator System

  • Kim, Seung-Nam
    • 한국경영과학회지
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    • 제18권2호
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    • pp.105-130
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    • 1993
  • This study deals with finding a schedule for the movement of a material handling device (elevator) in a manufacturing plant. Two different algorithm (Traveling Salesman Technique and Greedy Algorithm) are used in the scheduling of the elevators using a simulation technique to determine the proper method of scheduling the elevator movement. Based on the simulation analysis, we have found that the Greedy algorithm serves better than the algorithm based on Traveling Salesman technique for scheduling the movement of a material handling device in the manufacturing plant.

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Molecular identification of oriental medicinal plant Schizonepeta tenuifolia bunge (Hyung-Gae) by multiplex PCR

  • Jigden, Baigalmaa;Wang, Hongtao;Kim, Yeon-Ju;Samdan, Narantuya;In, Jun-Gyo;Yang, Deok-Chun
    • Plant Biotechnology Reports
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    • 제4권3호
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    • pp.223-228
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    • 2010
  • Schizonepeta tenuifolia (Korean name "Hyung- Gae") is an oriental medicinal plant that is widely used in Korea, China and Japan. S. tenuifolia (Hyung-Gae) has many pharmacological activities and is mostly used for many medicinal preparations. The dried aerial part (spikes and stems) of three oriental medicinal plants, S. tenuifolia (Hyung-Gae), Agastache rugosa (Kwhak-Hyang) and Elsholtzia ciliata (Hyang-Yoo) belonging to the same family, mint family Labiaceae, have such similar shape and smell that it is difficult to differentiate between them. The trnL-F regions of chloroplast DNA of the three medicinal plants were sequenced and used as targets in multiplex PCR reaction to identify S. tenuifolia. After alignment of trnL-F sequences of the authenticated plant samples, one single nucleotide polymorphism (SNP) specific to S. tenuifolia was found. Based on this SNP, a new primer was designed that specifically amplifies the trnL-F region of S. tenuifolia. The established multiplex-PCR was proven to be effective in the differentiation of commercial S. tenuifolia samples from A. rugosa and E. ciliata. This rapid and accurate molecular method is highly promising for use in the food industry.

Nutrient Utilisation and Growth Performance of Broiler Rabbits Fed Oat Plant Meal and Tall Fescue Hay

  • Bhatt, R.S.;Sharma, S.R.
    • Asian-Australasian Journal of Animal Sciences
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    • 제14권9호
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    • pp.1228-1232
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    • 2001
  • Forty five Soviet Chinchilla rabbits weaned at 35 d of age were fed 5 experimental diets prepared by using oat plant meal ($T_2,\;T_4$) and tall fescue hay ($T_3,\;T_5$) at 25% and 50% level along with control ($T_1$). The gain in body weight at 84 d of age decreased with test material substitution, however, the differences were non significant when compared with oat plant meal and were significant (p<0.05) with tall fescue hay at both the levels. Feed conversion ratio also deteriorated with test material and its increasing proportion and the differences were significant (p<0.05). The performance-index calculated were 42.1, 36.7, 29.4, 33.3 and 18.8 in $T_1,\;T_2,\;T_3,\;T_4$ and $T_5$, respectively. Digestibility of all the organic nutrients decreased significantly (p<0.05) with test material incorporation, as a result nutritive value of the test diets decreased linearly. Nitrogen balance as per cent of intake was higher in oat plant meal substituted diet compared to tall fescue substituted diet. Cost per kg live weight gain was lowest with 50% oat plant meal followed by 25% oat plant meal incorporation. It was highest with tall fescue hay substitution. Nutritive value of oat plant meal as calculated was DCP 5.1%, TDN 35.8% and that of tall fescue hay was DCP 6.5%, TDN 30.8%. Thus, oat plant meal can be substituted safely up to 25% in the feeding regime of weaner rabbits whereas, for tall fescue hay the safe limit is below 25% level and needs to be ascertained.

관계형 데이터베이스를 이용한 PDMS/PDS의 통합 데이터 모델링에 관한 연구 (A study on the integrated data modeling for the plant design management system and the plant design system using relational database)

  • 양영태;김재균
    • 한국해양공학회지
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    • 제11권3호
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    • pp.200-211
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    • 1997
  • Most recently, offshore Engineering & Construction field is concerned about integration management technology such as CIM(Computer Integrated Manufacturing), PDM(Product Data Management) and Enterprise Information Engineering in order to cope with the rapid change of engineering and manufacturer specification as per owner's requirement during construction stage of the project. System integration and integrated data modeling with relational database in integration management technology improve the quality of product and reduce the period of the construction project by reason of owing design information jointly. This paper represents the design methodology of system integration using Business Process Reengineering by the case study. The case study is about the offshore plant material information process from front end engineering design to detail engineering for the construction and the basis of monitoring system by integrating and sharing the design information between the 2D intelligent P&ID and 3D plant modeling using relational database. As a result of the integrated data modeling and system integration, it is possible to maintain the consistency of design process in point of view of the material balancing and reduce the design assumption/duration. Near future, this system will be expanded and connected with the MRP(Material Requirement Planing) and the POR (Purchase Order Requisition) system.

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Subcellular Responses in Nonhost Plant Infected with Pathogenic and Non-pathogenic Strains of Xanthomonas axonopodis pv. glycines

  • Jeong, Yong-Ho;Kim, Jung-Gun;Chang, Sung-Pae;Hwang, In-Gyu;Kim, Young-Ho
    • The Plant Pathology Journal
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    • 제18권3호
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    • pp.115-120
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    • 2002
  • Xanthomonas axonopodis pv. glycines, the causal agent of bacterial pustule of soybean, induces hypersensitive response (HR) in a non-host plant, hot pepper (Capsicum annuum). A wild-type strain (8ra) and its non-patho-genic mutant (8-13) of X. axonopodis pv. glycines were inoculated into the pepper leaf tissues and their subcellular responses to the bacterial infections were examined by electron microscopy. Intrastructural changes related to HR were found in the leaf tissues infected with 8ra from 8 h after inoculation, characterized by separation of plasmalemma from the cell wall, formation of small vacuoles and vesicles, formation of cell wall apposition, and cellular necrosis. No such responses were observed in the tissues infected with the mutant. In 8ra, the bacterial cells were attached to the cell walls, with the cell wall material dissolved into and appearing to encapsulate the bacterial cells. The bacterial cells later became entirely embedded in the cell wall material. On the other hand, in 8-13, the bacterial cells were usually not attached tightly to the plant cell wall, and no or poor encapsulation of the bacteria by the wall material occurred, although these were encircled by rather loose wall materials at the later stages.

원전 구조물의 경년열화를 고려한 지진응답예측 기계학습 모델의 성능평가 (Performance Evaluation of Machine Learning Model for Seismic Response Prediction of Nuclear Power Plant Structures considering Aging deterioration)

  • 김현수;김유경;이소연;장준수
    • 한국공간구조학회논문집
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    • 제24권3호
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    • pp.43-51
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    • 2024
  • Dynamic responses of nuclear power plant structure subjected to earthquake loads should be carefully investigated for safety. Because nuclear power plant structure are usually constructed by material of reinforced concrete, the aging deterioration of R.C. have no small effect on structural behavior of nuclear power plant structure. Therefore, aging deterioration of R.C. nuclear power plant structure should be considered for exact prediction of seismic responses of the structure. In this study, a machine learning model for seismic response prediction of nuclear power plant structure was developed by considering aging deterioration. The OPR-1000 was selected as an example structure for numerical simulation. The OPR-1000 was originally designated as the Korean Standard Nuclear Power Plant (KSNP), and was re-designated as the OPR-1000 in 2005 for foreign sales. 500 artificial ground motions were generated based on site characteristics of Korea. Elastic modulus, damping ratio, poisson's ratio and density were selected to consider material property variation due to aging deterioration. Six machine learning algorithms such as, Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbor (KNN), Artificial Neural Networks (ANN), eXtreme Gradient Boosting (XGBoost), were used t o construct seispic response prediction model. 13 intensity measures and 4 material properties were used input parameters of the training database. Performance evaluation was performed using metrics like root mean square error, mean square error, mean absolute error, and coefficient of determination. The optimization of hyperparameters was achieved through k-fold cross-validation and grid search techniques. The analysis results show that neural networks present good prediction performance considering aging deterioration.

수정된 Steiner Point를 이용한 Batcher Plant의 최적 위치 선정 (Optimal location of Batcher Plant using Modified Steiner point)

  • 하권열;이상중
    • 조명전기설비학회논문지
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    • 제29권10호
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    • pp.39-46
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    • 2015
  • REMICON(Ready Mixed Concrete), the most essential material of construction work, is produced from facility called "Batcher plant." In order to produce Remicon, Batcher Plant needs to be supplied with basic raw material such as ballast, sand, cement, admixture and water. In remicon industry, overland transport vehicles are used during the whole manufacturing process from producing to infilling at the construction site. Thus, the transportation cost sums up be to 20 percent of whole manufacturing cost and transport capacity and distance travelled have direct and major effect on manufacturing costs. This paper suggests a method to find optimal location of batcher plant using modified Steiner point, suggesting the most effective and flexible connection through among construction site, aggregate, cement and remicon producing plant. This paper also proposes reducing of transport cost at maximum 60% by calculation through optimized plant location. The modified Steiner point theory proposed in this paper also can be applied to optimal location of a $2^{ry}$ substation or MCC panel for minimizing of power loss, voltage drop, line distance and etc.