• Title/Summary/Keyword: Feed plants

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Effects of lactic acid bacteria inoculation in pre-harvesting period on fermentation and feed quality properties of alfalfa silage

  • Ertekin, Ibrahim;Kizilsimsek, Mustafa
    • Asian-Australasian Journal of Animal Sciences
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    • v.33 no.2
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    • pp.245-253
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    • 2020
  • Objective: To develop the fermentation quality and chemical composition of alfalfa (Medicago sativa Lam.) silage, plants were inoculated with different lactic acid bacteria (LAB) strains at field 24 hours before harvest. Methods: The treatment groups were as follow: silage without additive as a control and inoculated with each strains of Lactobacillus brevis (LS-55-2-2), Leuconostoc citerum (L. citerum; L-70-6-1), Lactobacillus bifermentans (L. bifermentans; LS-65-2-1), Lactobacillus plantarum (L. plantarum; LS-3-3) and L. plantarum (LS-72-2). All the silages were stored at 25℃. Parameters such as pH, microorganism and volatile fatty acid contents, crude protein, neutral detergent fiber, acid detergent fiber, net gas, metabolizable energy, organic matter digestibility, dry matter intake and relative feed value were measured to determine fermentation quality, chemical compositions and relative feed value of alfalfa silages. Results: Significant differences were found among the control and treated groups in terms of pH and microorganism contents at all opening times and crude protein, net gas, metabolizable energy and organic matter digestibility of final silage. The pH values ranged from 4.70 to 5.52 for all treatments and control silage had the highest value of overall treatments at T75d silages. Volatile fatty acid of silages was not influenced significantly by inoculations. However, lactic acid content of L. bifermentans (LS-65-2-1) was higher than the other treatments. The highest metabolizable energy and organic matter digestibility were recorded from L. citerum (L-70-6-1) inoculation. In addition, no significant differences were found among treatments in terms of neutral detergent fiber, acid detergent fiber, dry matter intake and relative feed value. Conclusion: Among the treated LAB isolates, L. bifermentans came into prominence especially in terms of organic acid composition and quality characters of silages.

A Study of the Feature Classification and the Predictive Model of Main Feed-Water Flow for Turbine Cycle (주급수 유량의 형상 분류 및 추정 모델에 대한 연구)

  • Yang, Hac Jin;Kim, Seong Kun;Choi, Kwang Hee
    • Journal of Energy Engineering
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    • v.23 no.4
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    • pp.263-271
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    • 2014
  • Corrective thermal performance analysis is required for thermal power plants to determine performance status of turbine cycle. We developed classification method for main feed water flow to make precise correction for performance analysis based on ASME (American Society of Mechanical Engineers) PTC (Performance Test Code). The classification is based on feature identification of status of main water flow. Also we developed predictive algorithms for corrected main feed-water through Support Vector Machine (SVM) Model for each classified feature area. The results was compared to estimations using Neural Network(NN) and Kernel Regression(KR). The feature classification and predictive model of main feed-water flow provides more practical methods for corrective thermal performance analysis of turbine cycle.

A Study of the Valid Model(Kernel Regression) of Main Feed-Water for Turbine Cycle (주급수 유량의 유효 모델(커널 회귀)에 대한 연구)

  • Yang, Hac-Jin;Kim, Seong-Kun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.12
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    • pp.663-670
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    • 2019
  • Corrective thermal performance analysis is required for power plants' turbine cycles to determine the performance status of the cycle and improve the economic operation of the power plant. We developed a sectional classification method for the main feed-water flow to make precise corrections for the performance analysis based on the Performance Test Code (PTC) of the American Society of Mechanical Engineers (ASME). The method was developed for the estimation of the turbine cycle performance in a classified section. The classification is based on feature identification of the correlation status of the main feed-water flow measurements. We also developed predictive algorithms for the corrected main feed-water through a Kernel Regression (KR) model for each classified feature area. The method was compared with estimation using an Artificial Neural Network (ANN). The feature classification and predictive model provided more practical and reliable methods for the corrective thermal performance analysis of a turbine cycle.

Grazing Behavior and Forage Selection of Goats (Capra hircus)

  • Lee, Sang-Hoon;Lee, Jinwook;Chowdhury, M.M.R.;Jeon, Dayeon;Lee, Sung-Soo;Kim, Seungchang;Kim, Do Hyung;Kim, Kwan-Woo
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.39 no.3
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    • pp.189-194
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    • 2019
  • The normal feeding approach of goats might be due to their precise anatomical and physiological characteristics of entity, which permit them to be highly selective, to eat legume silages and wild green grass. This review has been designed to consider the grazing behavior, fodder selection, and feed composition of goats. Various herbs and corns consumed by goats have numerous nutritive resources. Based on the general herbaceous intake activities and behavior of goats, they prefer wild grass such as grass grown in the steep hills than soft grass. Because the digestion capacity of cellulose feed has higher digestion level compared to other non-ruminants within rumen and it is advantageous to use wild forest or mountain grass which comprises high proportion of cellulose feed for goat. In South Korea, there are abundant feed resources for goats because of occupying large areas of mountains. Thus, goat production and feeding costs could be reduced if plants are used from the wild forest as a feed for goats relative to grassland grazing. Also, it is expected to contribute in improvement of goat farming with harmonious relationship between the grassland and wild forest while satisfying animal welfare and physiological desires of livestock.

A Study on the Structural Integrity of an Auxiliary Feed Water Pump in a Nuclear Power Plant (원자력 발전소 보조급수펌프의 구조 건전성에 관한 연구)

  • Kim, Chae-Sil;Cho, Bang-Hyun
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.13 no.3
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    • pp.42-48
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    • 2014
  • The auxiliary-feed-water pump (AFWP) used to supply water during a station black out situation at nuclear power plants should meet the seismic qualification regulations stipulated in IEEE Std 323 and 344, so as to withstand earthquakes or dangerous situations. Here, we establish a model for the estimation of the structural integrity of this type of pump. If the natural frequency that results from a modal analysis is less than 33 Hz, we adopt a dynamic analysis, instead of a static analysis. A dynamic analysis was carried out taking into consideration seismic conditions such as the floor response spectra (FRS), an operation-base earthquake (OBE), and a safe-shutdown earthquake (SSE). Finally, an analytical estimation of the structural integrity of an AFWP is made through a comparison of calculated values and allowable values. If the result is less than the allowable stress, the pump is deemed to have good structural integrity. In addition, future studies will involve a stability check for rotor accidents that may occur during the operation of the pump.

Verification of Silt Density Index (SDI) as a fouling index for reverse osmosis (RO) feed water (역삼투 공정 파울링 지표로서 SDI(Silt Density Index)의 적합성 검증)

  • Kim, Su-Han;Kim, Chung-H.;Kang, Suk-H.;Lee, Won-T.;Lim, Jae-L.
    • Journal of Korean Society of Water and Wastewater
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    • v.25 no.4
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    • pp.489-495
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    • 2011
  • Silt Density Index (SDI) has been used as a fouling index for reverse osmosis (RO) processes for decades. In order to decrease RO fouling, feed water should meet SDI standard, which was used to select a proper pretreatment system for RO processes. However, SDI is supposed to be sensitive only to particles larger than 0.45 ${\mu}m$ in terms of diameters while nanoparticles and dissolved organic matter can be potent foulants for RO processes. Our study started from the suspected performance of SDI as a RO fouling index. SDI data from pilot plants located world wide including South Korea were collected and analyzed. Suspended partcle concentration (i.e., turbidity and particle counts), and dissolved organic matter concentration (i.e., dissolved orgnaic carbon (DOC) concentration) data were also collected and compared to SDI values of same water samples. We found that SDI values were not only affected by suspended particle concentration but also by dissolved organic matter concentration. Therefore SDI can be used as a reasonable fouling index for RO feed water because the main foulants for RO processes are suspended particle and dissolved organic matter.

Investigation for Change of Pump's Vibration Modes on Oil Tank (대형 tank 구조물 개선에 따른 진동변화 고찰)

  • Yang, Kyeong-Hyeon;Cho, Cheul-Whan;Cho, Sung-Tai;Song, Oh-Seop
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2007.05a
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    • pp.36-40
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    • 2007
  • It uses a tank to store, purify and feed lube oil in power plants, which is made by steel plate. Several pumps to feed lube oil are installed on the top plate of the oil tank. In this case if pumps on the top plate are removed or added, the dynamic characteristics of the structure will be changed. In this paper, we present that we analyze in detail the similar case with a finite element model for tank & pump structure coupled with oil and that we set plan to change mode shapes on the top plate of the tank.

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정전선별법을 이용한 석탄회로부터 미연탄소분 제거에 관한 연구

  • 최우진;염영길
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 1998.11a
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    • pp.97-105
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    • 1998
  • The goal of this study is to investigate the potential application of triboelectrostatic separation process for removing unburned carbon from fly ash. The process utilizes the difference in electrical charging characteristics between the organic material (carbon) and the mineral matter (fly ash). In the present work, dry separation tests have been conducted on Samchunpo fly ash samples using a bench - scale analytic separator. The test variables studied include air rate, feed rate, electric field strength, particle size, charger material and length, etc. The best separation results were obtained at the air rate 501/min, feed rate 15 g/min and voltage 15 ㎸. The fly ash with carbon content below 1 % was obtained with over 65% recovery.

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FASTMET$\circledR$ Process for Steel Mill Waste Recycling

  • Tanaka, Hidetoshi;Harada, Takao;Sugitatsu, Hiroshi
    • Proceedings of the IEEK Conference
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    • 2001.10a
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    • pp.387-392
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    • 2001
  • Kobe Steel, LTD. and Midrex Technologies Inc. jointly developed the FASTMET$\circledR$ process as a steel mill waste recycle technology in which the DRI product meets BF feed material or BOF/EAF feed material requirements. FASTMET(R) process turns value-less wastes into valuable DRI and sellable zinc oxide, and gives the solution for the steel mill wastes recycling from both economical and environmental viewpoints. During the development of the process, Laboratory, Pilot Plant and Demonstration Plant tests were carried out from 1990 to 1998. The first FASTMET(R) commercial plant began operation in April, 2000 and the second commercial plant started in April, 2001 Both commercial plants have proceeded successfully preying that FASTMET$\circledR$ is a suitable process for recycling steel mill waste and for producing DRI as an iron source.

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Recent advances and future potential of anaerobic ceramic membrane bioreactors for wastewater treatment: A review

  • Cha, Minju;Kim, Soyoun;Park, Chanhyuk
    • Membrane and Water Treatment
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    • v.11 no.1
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    • pp.31-39
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    • 2020
  • Anaerobic membrane bioreactor (AnMBR) treatment has been widely studied in recent years because of the potential for production of bio-energy from wastewater and energy-positive operation of wastewater treatment plants. Several AnMBR systems, including those that incorporate ceramic membranes, take advantage of enhanced water permeability and low membrane fouling potentials. Given that differences in the ceramic membranes may influence the results of AnMBR studies, relevant details are discussed in this review, which focuses on the profiles of common ceramic membranes used in AnMBR, treatment and filtration performances of different anaerobic ceramic membrane bioreactors (AnCMBRs), and the membrane fouling mitigation methods available for effective AnCMBRs operation. The aim of this review is to provide a comprehensive summary of AnCMBR performance, feed wastewater characteristics, operating conditions, and the methods available for effective fouling mitigation.