• Title/Summary/Keyword: optimal experimental design

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Laboratory tests for studying the performance of grouted micro-fine cement

  • Aflaki, Esmael;Moodi, Faramarz
    • Computers and Concrete
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    • v.20 no.2
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    • pp.145-154
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    • 2017
  • In geological engineering, grouting with Portland cement is a common technique for ground improvement, during which micro-fine cement is applied as a slurry, such that it intrudes into soil voids and decreases soil porosity. To determine the utility and behavior of cements with different Blaine values (index of cement particle fineness) for stabilization of fine sand, non-destructive and destructive tests were employed, such as laser-ray determination of grain size distribution, and sedimentation, permeability, and compressive strength tests. The results of the experimental study demonstrated a suitable mix design for the upper and lower regions of the cement-grading curve that are important for grouting and stabilization. Increasing the fineness of the cement decreased the permeability and increased the compressive strength of grouted sand samples considerably after two weeks. Moreover, relative to finer (higher Blaine value) or coarser (lower Blaine value) cements, cement with a Blaine value of $5,100cm^2/g$ was optimal for void reduction in a grouted soil mass. Overall, study results indicate that cement with an optimum Blaine value can be used to satisfy the designed geotechnical criteria.

Analytical Calculation for Predicting the Air Gap Flux Density in Surface-Mounted Permanent Magnet Synchronous Machine

  • Feng, Yan-li;Zhang, Cheng-ning
    • Journal of Electrical Engineering and Technology
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    • v.12 no.2
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    • pp.769-777
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    • 2017
  • The research of air gap flux density has a significant effect on predicting and optimizing the structure parameters of electrical machines. In the paper, the air gap coefficient, leakage flux factor and saturation coefficient are first analytically expressed in terms of motor properties and structure parameters. Subsequently, the analytical model of average air gap flux density for surface-mounted permanent magnet synchronous machines is proposed with considering slotting effect and saturation. In order to verify the accuracy of the proposed analytical model, the experiment and finite element analysis (FEA) are used. It shows that the analytical results keep consistency well with the experimental result and FEA results, and the errors between FEA results and analytical results are less than 5% for SPM with high power. Finally, the analytical model is applied to optimizing the motor structure parameters. The optimal results indicate that the analytical calculation model provides a great potential to the machine design and optimization.

Preparation of Silica Nanoparticles via Two-Step Process Utilizing Mixed Chlorosilane Residues

  • Su, Yonghong;Xu, Bugang;Cai, Jixiang;Chen, Liang;Huang, Bing
    • Journal of the Korean Ceramic Society
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    • v.55 no.6
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    • pp.562-569
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    • 2018
  • We propose an economic and facile method for the preparation of silica nanoparticles through a two-step process utilizing chlorosilane residues. Mixed chlorosilane residue was alcoholized with absolute ethanol as a first step to form tetraethoxysilane (TEOS). The TEOS was then utilized as a silicon source to synthesize silica nanoparticles in a sol-gel method. The alcoholysis process was designed and optimized utilizing the Taguchi experimental design method and the yield of TEOS was as high as 82.2% under optimal synthetic conditions. Similarly, the Taguchi method was also utilized to study the effects of synthesis factors on the particle size of silica nanoparticles. The results of statistical analysis indicate that the concentration of ammonia has a greater influence on particle size compared to the mass fractions of TEOS and polyethylene glycol (4.6% and 9.7%). The purity of the silica particles synthesized in our experiments is high, but the specific surface area and pore volume are small.

미생물유래 Transglutaminase의 생산을 위한 생물반응기 운전 조건 확립

  • Lee, Hwa-Jeong;Yu, Jae-Su;Jeon, Gye-Taek;Jeong, Yong-Seop
    • 한국생물공학회:학술대회논문집
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    • 2000.04a
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    • pp.239-242
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    • 2000
  • Experimental studies on the effects of impeller to provide the microbial transglutaminase derived from Streptoverticillium mobaraense have been conducted. The optimal production medium was determined by latin-square design, and the effects of aeration and agitation were observed by using different sizes and shapes of impellers for the poduction of transglutaminase. The effects of pH and temperature were also evaluated for the production of transglutaminase in flasks. As a result, pH is more effective than temperature for both enzyme production and growth of the microorganism. The peak enzyme activity for transglutaminase in fermenter was 0.7 U/mL, but this was still well below the avereage enzyme activity, 1,3 U/mL, obtained in flask runs.

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DESIGN OF A BINARY DECISION TREE FOR RECOGNITION OF THE DEFECT PATTERNS OF COLD MILL STRIP USING GENETIC ALGORITHM

  • Lee, Byung-Jin;Kyoung Lyou;Park, Gwi-Tae;Kim, Kyoung-Min
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.06a
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    • pp.208-212
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    • 1998
  • This paper suggests the method to recognize the various defect patterns of cold mill strip using binary decision tree constructed by genetic algorithm automatically. In case of classifying the complex the complex patterns with high similarity like the defect patterns of cold mill strip, the selection of the optimal feature set and the structure of recognizer is important for high recognition rate. In this paper genetic algorithm is used to select a subset of the suitable features at each node in binary decision tree. The feature subset of maximum fitness is chosen and the patterns are classified into two classes by linear decision function. After this process is repeated at each node until all the patterns are classified respectively into individual classes. In this way , binary decision tree classifier is constructed automatically. After construction binary decision tree, the final recognizer is accomplished by the learning process of neural network using a set of standard p tterns at each node. In this paper, binary decision tree classifier is applied to recognition of the defect patterns of cold mill strip and the experimental results are given to show the usefulness of the proposed scheme.

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Application Core Mapping to Minimize the Network Latency on Regular NoC Architectures (규칙적인 NoC 구조에서의 네트워크 지연 시간 최소화를 위한 어플리케이션 코어 매핑 방법 연구)

  • Ahn, Jin-Ho;Kim, Hong-Sik;Kim, Hyun-Jin;Park, Young-Ho;Kang, Sung-Ho
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.45 no.4
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    • pp.117-123
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    • 2008
  • In this paper, we propose a novel ant colony optimization(ACO)-based application core ma ins method for implementing network-on-chip(NoC)-based systems-on-chip(SoCs). The proposed method efficiently put application cores to a mesh-type NoC satisfying a given design objective, the network latency. Experimental results using a functional circuit including 12 cores show that the proposed algorithm can produce near optimal mapping results within a second.

Tuning of PID Controller for Hydraulic Positioning System Using Genetic Algorithm (유전 알고리즘을 이용한 유압 위치계의 PID 제어기 동조)

  • Kim, Gi-Bum;Park, Seung-Min;Kim, In-Soo
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.15 no.3
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    • pp.93-101
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    • 2016
  • This study presents a simple genetic algorithm to systematically design a PID controller for a hydraulic positioning system operated by a proportional solenoid valve. The inverse dead-zone compensator with nonlinear characteristics is used to cancel out the dead-zone phenomenon in the hydraulic system. The object function considering overshoot, settling time, and control input is adopted to search for optimal PID gains. The designed PID controller is compared with the LQG/LTR controller to check the performance of the hydraulic positioning system in the time and frequency domains. The experimental results show that the hydraulic servo system with the proposed PID controller responds effectively to the various types of reference input.

All Phase Discrete Sine Biorthogonal Transform and Its Application in JPEG-like Image Coding Using GPU

  • Shan, Rongyang;Zhou, Xiao;Wang, Chengyou;Jiang, Baochen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.9
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    • pp.4467-4486
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    • 2016
  • Discrete cosine transform (DCT) based JPEG standard significantly improves the coding efficiency of image compression, but it is unacceptable event in serious blocking artifacts at low bit rate and low efficiency of high-definition image. In the light of all phase digital filtering theory, this paper proposes a novel transform based on discrete sine transform (DST), which is called all phase discrete sine biorthogonal transform (APDSBT). Applying APDSBT to JPEG scheme, the blocking artifacts are reduced significantly. The reconstructed image of APDSBT-JPEG is better than that of DCT-JPEG in terms of objective quality and subjective effect. For improving the efficiency of JPEG coding, the structure of JPEG is analyzed. We analyze key factors in design and evaluation of JPEG compression on the massive parallel graphics processing units (GPUs) using the compute unified device architecture (CUDA) programming model. Experimental results show that the maximum speedup ratio of parallel algorithm of APDSBT-JPEG can reach more than 100 times with a very low version GPU. Some new parallel strategies are illustrated in this paper for improving the performance of parallel algorithm. With the optimal strategy, the efficiency can be improved over 10%.

Drying Ginseng Slices Using a Combination of Microwave and Far-Infrared Drying Techniques

  • Gong, Yuan Juan;Sui, Ying;Han, Chung Su;Ning, Xiao Feng
    • Journal of Biosystems Engineering
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    • v.41 no.1
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    • pp.34-42
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    • 2016
  • Purpose: This study was performed to improve the drying quality and drying rate of ginseng slices by combining microwave and far-infrared drying techniques. Methods: Based on single-factor experiments and analyses, a quadratic regression orthogonal rotation combination design was adopted to study the effects of the moisture content at the conversion point between the microwave and far-infrared techniques, the ginseng slice thickness and the far-infrared drying temperature on the chip drying time, the surface color difference value, the nutritional composition and the surface shrinkage rate index. Results: Compared to the far-infrared drying alone, the combined microwave and far-infrared drying resulted in an increase in the saponin content of the ginseng slices and reductions in the drying time, surface color difference, and shrinkage rate. Conclusions: We established a mathematical model of the relationships between the surface shrinkage rate index and the experimental factors using the multi-objective nonlinear optimization method to determine the optimal parameter combination, which was confirmed to be the following: microwave and far-infrared moisture contents of 65%, a ginseng slice thickness of 1 mm, and a far-infrared drying temperature of $54^{\circ}C$.

Optimization of Germinated Brown Rice Cookie Prepared with (Laminaria longissima) Seatangle Powder (다시마가루 첨가 발아현미 쿠키의 제조조건 최적화)

  • Pyo, Seo-Jin;Lee, Sun-Mee;Joo, Na-Mi
    • Korean journal of food and cookery science
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    • v.26 no.5
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    • pp.617-626
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    • 2010
  • The purpose of this study was to determine the optimal mixing conditions of three different amounts of seatangle powder, sugar, and butter in germinated brown rice cookie prepared with seatangle powder. The experiment was designed according to the Central Composite Design of response surface, which showed 16 experimental points including 2 replicates for seatangle powder, sugar and butter. The mechanical and sensory properties of each test were measured, and these values were applied to the mathematical models. A canonical form and perturbation plot showed the influence of each ingredient on the final product mixture. The L value, a value and b value decreased with increasing seatangle powder content and increased with sugar content. The a value and b value increased with increasing butter content, whereas the L value decreased with increasing butter content. Hardness decreased with increasing butter content. The results of sensory evaluation showed very significant values for texture (p<0.001), taste (p<0.01), and overall quality (p<0.05). As a result, the optimum formulation by numerical and graphical methods was calculated to be seatangle powder 4.25 g, sugar 49.86 g, and butter 58.23 g.