• Transactions of Materials Processing
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• v.29 no.2
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• pp.76-88
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• 2020

The need for advanced high strength steel (AHSS) forming technology is increasing as interest in light weight and safe automobiles increases. Multipoint dieless forming (MDF) is a novel sheet metal forming technology that can create any desired longitudinal and transverse curvature in sheet metal. However, since the springback phenomenon becomes larger with high strength metal such as AHSS, predicting the required MDF to produce the exact desired curvature in two directions is more difficult. In this study, a prediction model using artificial neural network (ANN) was developed to predict the springback that occurs during AHSS forming through MDF. In order to verify the validity of model, a fit test was performed and the results were compared with the conventional regression model. The data required for training was obtained through simulation, then further random sample data was created to verify the prediction performance. The predicted results were compared with the simulation results. As a result of this comparison, it was found that the prediction of our ANN based model was more accurate than regression analysis. If a sufficient amount of data is used in training, the ANN model can play a major role in reducing the forming cost of high-strength steels.

• Transactions of Materials Processing
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• v.29 no.2
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• pp.89-96
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• 2020

The finite element method has been widely applied in the sheet metal forming process. However, the finite element method is computationally expensive and time consuming. In order to tackle this problem, surrogate modeling methods have been proposed. An artificial neural network (ANN) is one such surrogate model and has been well studied over the past decades. However, when it comes to ANN with two or more layers, so called deep neural networks (DNN), there is distinct a lack of research. We chose to use DNNs our surrogate model to predict the behavior of sheet metal in the deep drawing process. Thickness variation is selected as an output of the DNN in order to evaluate workpiece feasibility. Input variables of the DNN are radius of die, die corner and blank holder force. Finite element analysis was conducted to obtain data for surrogate model construction and testing. Sampling points were determined by full factorial, latin hyper cube and monte carlo methods. We investigated the performance of the DNN according to its structure, number of nodes and number of layers, then it was compared with a radial basis function surrogate model using various sampling methods and numbers. The results show that our DNN could be used as an efficient surrogate model for the deep drawing process.

• Journal of Environmental Science International
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• v.21 no.2
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• pp.253-261
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• 2012

We isolated and characterized novel duck feather-degrading bacteria producing keratinase. Twelve strains were isolated from soil and faces at poultry farm, and decayed feathers. They were identified as Bacillus methylotrophicus, Pseudomonas geniculata, Pseudomonas hibiscicola, Exiquobacterium profundum, Bacillus pumilus, Bacillus amyloliquefaciens, Chryseobacterium indologenes, Bacillus thuringiensis, Thermomonas koreensis, respectively, by phenotypic characters and 16S rRNA gene analysis. Generally, the level of keratinase production was not proportional to feather degradation rate. The highest keratinolytic activity was observed in the culture inoculated with Chryseobacterium indologenes D27. Although all strains did not degrade human hair, strains tested effectively degraded chicken feather(53.8-91.4%), wool(40.4-93.0%) and human nail (51.0-82.9%). These results suggest that strains isolated could be not only used to improve the nutritional value of recalcitrant feather waste but also is a potential candidate for biotechnological processes of keratin hydrolysis.

• Proceedings of the Korean Environmental Sciences Society Conference
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• 2007.05a
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• pp.453-456
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• 2007

가금류의 도축 부산물로 대량 배출되고 있는 우모는 주로 생물학적으로 난분해성 단백질인 케라틴으로 구성되어 있다. 따라서 물리화학적 처리에 의하여 우모를 처리하고 있으나 이 방법은 환경오염을 유발한다. 따라서 본 연구에서는 환경친화적 우모 분해 공정을 개발하고, 우모 분해산물의 식물 성장을 위한 비료로서의 가치를 평가하기 위하여 퇴비화 볏짚에서 케라틴 분해효소 생성능이 우수한 균주인 RS7을 분리하였다. RS7의 생화학적 특성과 16S rDNA의 염기 서열을 분석하여 동정한 결과, Bacillus pumilus RS7로 동정되었다. B. pumilus RS7은 $30^{\circ}C$에서 배양 5일 만에 우모를 완전히 분해할 수 있었다. 본 균주에 의한 우모 분해산물은 Helianthus sannuus L.의 생장율, 잎 수 증가량, 개화율, 건조 생체량에 있어 대조군과 화학적 우모 분해산물보다 우수하였다. Bacillus pumilus RS7에 의한 우모 분해산물은 식물 성장 촉진을 위한 미생물기원 비료로써의 역할을 수행할 수 있었으며, 이에 따라 양계산업에서 배출되는 우모 폐기물이 환경에 주는 악영향을 감소시킬 수 있을 것으로 예측된다.

• 한국생물공학회:학술대회논문집
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• 2000.11a
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• pp.520-523
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• 2000

Phenol and other phenolic compounds are common constituents of aqueous effluents from processes such as polymeric resin production, oil refining and cokeing plants. Phenol is a both toxic and lethal of fish at relatively low concentrations e.g. 5-25 mg/L and imparts objectionable tastes to drinking water at far lower concentration. Therefore, the treatment of phenol effluent is important. Among the various techniques of phenol wastewater treatment, microbial teratment is a popular process. The breakdown of phenols by microorganisms has recived considerable attention, because of its biochemical interest and its industrial importance in effluent treatment. This research was performed to investigate the dynamics of microbial community, biofilm growth and the comparison of phenol removal efficiency by RBC (Rotating Biological Contactor) using Rhodococcus sp. EL-GT The experiment was carried out at rotating speed of 10ppm and hydraulic retention time of 7 hours. As time passed, phenol removal efficiency was gained highly. The RBC using Rhodococcus sp. EL-GT completely degraded 15 mM.

• Journal of Life Science
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• v.12 no.5
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• pp.566-569
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• 2002

Acetobacter strains are bacteria that can synthesize cellulose when grown on an undefined medium containing glucose. Several culture conditions affecting cellulose production by Acetobacter sp. A9 were examined by cultivating cells under shaking cultures. The addition of buffering agents, such as 3-(N-morpholino) propanesulfonic acid (MOPS) and CaCO$_3$, increased cellulose production. It suggests that pH of culture medium is important to an economical mass cellulose production. Addition of bead (Ф10 w) to culture medium stimulated 'disintegrated bacterial cellulose' production.

• Journal of Life Science
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• v.12 no.5
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• pp.561-565
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• 2002

Pseudomonas sp. EL-041 was previously isolated from phenol-acclimated activated sludge. This bacterium was capable of degrading phenol and cometabolizing trichloroethylene (TCE). In this study, we report the identification of trichloroethylene- degrading enzyme in Pseudomonas sp. EL-041 by the investigation of enzyme activity and DNA sequencing of specific phenol oxygenase gene. As the results of experiment, trichloroethylene-degrading enzyme in Pseudomonas sp. EL-041 was monooxygenase and suspected to phenol hydroxylase.

• Journal of computational fluids engineering
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• v.19 no.1
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• pp.64-72
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• 2014

This study aimed at assessing the analysis capability of thermal-hydraulic computer code, MARS for the behaviors of the core make-up tank (CMT). The sensitivity study on the nodalization to simulate the CMT was conducted, and the MARS calculations were compared with KAIST experimental data and RELAP5/MOD3.3 calculations. The 12-node model was fixed through a nodalization study to investigate the effect of the number of nodes in the CMT (2-, 4-, 8-, 12-, 16-node). The sensitivity studies on various parameters, such as water subcooling of the CMT, steam pressure, and natural circulation flow were done. MARS calculations were reasonable in the injection time and the effects of several parameters on the CMT behaviors even though the mesh-dependency should be properly treated for reactor applications.

• Journal of Power System Engineering
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• v.20 no.2
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• pp.17-25
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• 2016

In this paper, the feasibility study on a gerotor type expander as a power converting device in a small scale power generation ORC system was made by performance analysis of the gerotor expander. Design of a 1kW-class gerotor expander was carried out and its performance was numerically simulated. For a R134a Rankine system with about 20 kW solar heat source, the gerotor expander efficiency was calculated to be 35~75% for the operating conditions of $Te=80{\sim}100^{\circ}C$ and $Tc=30{\sim}60^{\circ}C$. Maximum expander efficiency was obtained at an expansion ratio somewhat higher than the design expansion ratio due to pre-expansion during suction process inside the outer and inner rotor mate. If the operating expansion ratio is not far from the design expansion ratio, the gerotor expander performance can be well compared to that of a scroll type.

• Transactions of Materials Processing
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• v.29 no.5
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• pp.272-281
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• 2020

As the thickness of mobile communication devices is getting thinner, the size of the internal parts is also getting smaller. Among them, the battery case requires a high-level deep drawing technique because it has a rectangular shape with a large aspect ratio. In this study, the initial blank shape was optimized to minimize earing in a multi-stage deep drawing process using an artificial neural network(ANN). There has been no reported case of applying artificial neural network technology to the initial blank optimal design for a square case with large aspect ratio. The training data for ANN were obtained though simulation, and the model reliability was verified by performing comparative study with regression model using random sample test and goodness-of-fit test. Finally, the optimal design of the initial blank shape was performed through the verified ANN model.