• 제목/요약/키워드: Feed rates

검색결과 537건 처리시간 0.022초

EFFECTS OF DIETARY CELLULOSE AND PROTEIN LEVELS ON GROWTH PERFORMANCE, ENERGY AND NITROGEN UTILIZATION, LIPID CONTENTS AND DEVELOPMENT OF INTERNAL ORGANS IN GROWING CHICKS

  • Siri, S.;Tobioka, H.;Tasaki, I.
    • Asian-Australasian Journal of Animal Sciences
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    • 제6권2호
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    • pp.235-242
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    • 1993
  • In order to investigate the effects of dietary cellulose and protein levels on chick performance, four semi-purified diets were formulated so as to contain cellulose at levels of 5% (LC) and 20% (HC) in combination with 10% (LP) and 20% (HP) protein, and fed ad libitum to 1-week-old White Leghorn male chicks for 3 weeks. There were no significant differences in feed intake, body weight gain and feed efficiency between the LC-HP and HC-HP groups. All parameters were lower in the LP groups; the HC-LP group consumed very small amount of feed and lost body weight during the experiment. The retention rates of DM, ash, nitrogen and energy were higher in the HP than the LP groups. The triglyceride concentration of carcass was lower in the HC-LP group and that of liver was higher in the LC-LP group. The carcass total cholesterol level was higher in the HC-HP group. The relative weight of most digestive organs was higher in the HP group irrespective of the cellulose level. In conclusion, the chick performance was primarily influenced by dietary protein level, and when the chicks were fed inadequate levels of protein, the low cellulose level gave a better performance than the high cellulose level.

Effects of dominance frequency of plant species to increase productivity of cattle feed in Japan

  • Yulianto, Roni;Xuan, Tran Dang
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2017년도 9th Asian Crop Science Association conference
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    • pp.48-48
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    • 2017
  • The objectives of this study were to determine the dominance frequency of plant species between spring and summer, to provide useful information toward the conservation to increasing production cattle feed in grazing area in Hiroshima, Japan. The frequency of dominant plant species can adapt in the spring and summer, that consist of Paspalum dilatatum (spring 69.32% and summer 78.98%), Paspalum notatum (spring 47.73% and summer 98.30%), Trifolium repens (spring 73.86% and summer 81.25%). The observed plant species also influenced some productivity, which consists of plant height (spring 16.64 cm and summer 21.55 cm), vegetation cover rates (spring 77.18% and summer 81.36%, chlorophyll content (spring 41.72 mg/g Fw and summer 36.28 mg/g Fw), diversity index (spring 0.94 and summer 0.80), evenness index (spring 0.93 and summer 0.67), and species numbers (spring 32.0 and summer 21.0). It is proposed that Paspalum dilatatum, Paspalum notatum, and Trifolium repens, can be used to increase productivity of plant species as cattle feeds.

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다중회귀분석을 이용한 BK7 글래스 MR Polishing 공정의 재료 제거 조건 분석 (Analysis of Material Removal Rate of Glass in MR Polishing Using Multiple Regression Design)

  • 김동우;이정원;조명우;신영재
    • 한국생산제조학회지
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    • 제19권2호
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    • pp.184-190
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    • 2010
  • Recently, the polishing process using magnetorheological fluids(MR fluids) has been focused as a new ultra-precision polishing technology for micro and optical parts such as aspheric lenses, etc. This method uses MR fluid as a polishing media which contains required micro abrasives. In the MR polishing process, the surface roughness and material removal rate of a workpiece are affected by the process parameters, such as the properties of used nonmagnetic abrasives(particle material, size, aspect ratio and density, etc.), rotating wheel speed, imposed magnetic flux density and feed rate, etc. The objective of this research is to predict MRR according to the polishing conditions based on the multiple regression analysis. Three polishing parameters such as wheel speed, feed rates and current value were optimized. For experimental works, an orthogonal array L27(313) was used based on DOE(Design of Experiments), and ANOVA(Analysis of Variance) was carried out. Finally, it was possible to recognize that the sequence of the factors affecting MRR correspond to feed rate, current and wheel speed, and to determine a combination of optimal polishing conditions.

Pangasiid Catfish Pangasius hypophthalmus Farming in Bangladesh: a Rural Survey in the Mymensingh Region

  • Sarkar, Reaz Uddin Md.;Khan, Saleha;Haque, Mahfuzul Md.;Khan, Mohammed Nurul Absar;Choi, Jae-Suk
    • 한국해양바이오학회지
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    • 제2권2호
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    • pp.94-101
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    • 2007
  • The status of recently expanded exotic pangasiid catfish Pangasius hypophthalmus, Pangasiidae farming in rural Bangladesh has been studied for finding research needs, through knowing the culture methods, associated activities and problems, to make the farming sustainable. Data were collected using participatory rural appraisal (PRA) tools in nine villages in three upazilas (sub-district) of Mymensingh district. The farmers have not got any formal training and have developed their knowledge on farming the fish through practice over years and sharing of knowledge among fellow farmers. Linked industries, e.g. hatcheries, nurseries, feed mills, trading of feed and fish etc. have developed that created employment opportunities. Most of the farmers produce two crops a year. About 90% of the farmers were found to practice mono culture of pangasiid catfish at high stocking density. The feeding rates started from 10-15% of the body weight per day at fingerling stage that reduced to 4-6% with growth. The average yield was found to be 25 tonslha/year. The livelihood of the farmers has been improved through farming the fish. Women and children were rarely engaged in the activities. The identified major problems in farming the fish were water quality deterioration, high feed costs and declining consumer demand and market price.

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Classification System of EEG Signals During Mental Tasks

  • Seo Hee Don;Kim Min Soo;Eoh Soo Hae;Huang Xiyue;Rajanna K.
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2004년도 학술대회지
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    • pp.671-674
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    • 2004
  • We propose accurate classification method of EEG signals during mental tasks. In the experimental task, the tasks of subjects show 3 major measurements; there are mathematical tasks, color decision tasks, and Chinese phrase tasks. The classifier implemented for this work is a feed-forward neural network that trained with the error back-propagation algorithm. The new BCI system is proposed by using neural network. In this system, tr e architecture of the neural network is composed of three layers with a feed-forward network, which implements the error back propagation-learning algorithm. By applying this algorithm to 4 subjects, we achieved $95{\%}$ classification rates. The results for BCI mathematical task experiments show performance better than those of the Chinese phrase tasks. The selection time of each task depends on the mental task of subjects. We expect that the proposed detection method can be a basic technology for brain-computer interface by combining with left/right hand movement or yes/no discrimination methods.

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와이어컷 방전가공기의 정밀제어를 위한 NURBS 보간기에 관한 연구 (A Study on the NURBS Interpolator for the Precision Control of Wire-EDM)

  • 박진호;남성호;정태성;양민양
    • 한국정밀공학회지
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    • 제21권8호
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    • pp.143-151
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    • 2004
  • This paper deals with the precision NURBS interpolator for wire-EDM. Previous research about OAC (Open Architecture Controller) is mostly aimed at NC cutting machines such as milling or lathes, and hence these results are inadequate to apply to wire-EDM. In contradiction to NC machines, wire-EDM operates relatively slow feed rates and based on a feedback control loop to the machining process. The 2-stage interpolation method which reflects wire-EDM specific characteristics was proposed. The constant interpolation error could be acquired through 1 st stage interpolation. Feed rate regulation was performed through 2nd stage interpolation. The suggested algorithm was implemented to test-bed PC-NC system. Computer simulations and the experimental machining were conducted.

인장실험을 통한 엔드밀링 작업에서의 절삭력 예측에 관한 연구 (A Study on the Prediction of End Milling Cutting Force by Tensile Test)

  • 신근하
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 1999년도 추계학술대회 논문집 - 한국공작기계학회
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    • pp.257-262
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    • 1999
  • On End Milling Process predict the cutting force is important. Dynamics the shear stress is the main parameter influencing the energy requirement in machining. It is well known that a nonzero force is obtained when cutting forces measured at different feed rates but otherwise constant cutting conditions are extrapolated to zero feed rate. In this paper, the cutting force measured in end-milling is compared with the simulated force models. The result show that stress measured in cutting is consistent with that stresses predicted.

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고품위 안경테 제작을 위한 안경테 소재(Cellulose Acetate)의 가공성 평가 및 절삭조건 선정 (Machinability Evaluation and Cutting Condition Selection of Cellulose Acetate for Manufacturing of High-quality Spectacle Frames)

  • 강익수;이승용;최현진;이태호;최성대
    • 한국기계가공학회지
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    • 제11권4호
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    • pp.20-24
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    • 2012
  • The objective of this study is to investigate proper cutting conditions of cellulose acetate(CA) for eyewear frames. Various cutting experiments with variation of spindle speeds and feed rates are conducted to evaluate the machinability of CA. The machinability of CA materials were discussed in terms of the cutting forces, surface roughnesses and chip formations. The cutting conditions of high spindle speeds and the feed per tooth of less than 0.05mm are recommended considering the surface roughnesses and chip formations. Also, the correlation between the surface roughness and the chip formation is investigated. These results are able to be applied to design the high-speed machine tool of CA frame.

고경도강 선삭 시 절삭특성 및 공구 이상상태 검출에 관한 연구 (A Study on the Cutting Characteristics and Detection of the Abnormal Tool State in Hard Turning)

  • 김태영;신형곤;이상진;이한교
    • 한국공작기계학회논문집
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    • 제14권6호
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    • pp.16-21
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    • 2005
  • The cutting characteristics of hardened steel(AISI 52100) by PCBN tools is investigated with respect to cutting force, workpiece surface roughness and tool flank wear by the vision system. Hard Owning is carried out with various cutting conditions; spindle rotational speed, depth of cut and feed rate. Backpropagation neural networks(BPNs) are used for detection of tool wear. The input vectors of neural network comprise of spindle rotational speed, feed rates, vision flank wear, and thrust force signals. The output is the tool wear state which is either usable or failure. The detection of the abnormal states using BPNs achieves $96.8\%$ reliability even when the spindle rotational speed and feedrate are changed.

SCM415강의 원형포켓 가공시 치수정밀도에 관한 연구 (A Study on Dimensional Accuracy in Circular Pocket Machining of SCM415 Steel)

  • 신미정;최철웅
    • 한국기계가공학회지
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    • 제18권9호
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    • pp.58-63
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    • 2019
  • In this research, we examine the change of dimensional accuracy in the cutting process while changing cutting conditions such as feed rate and spindle rotational speed with chromium molybdenum steel (SCM415) material and TiCN- and TiAlN-coated end mill tools. According to dimensional accuracy measurement, TiCN-coated tool displays the most accurate dimensional tolerance at ${\varnothing}20mm$ at feed rates of 200 mm/min and 250 mm/min at a spindle rotation speed of 4,000 rpm. The largest dimension of the coating tool was able to make the TiAlN-coated tool suitable when comparing the smallest dimension.