• Journal of Pharmaceutical Investigation
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• 제21권3호
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• pp.149-153
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• 1991

Polyethylene oxide (PEO)-polymethacrylic acid (PMAA) interpenetrating polymer networks (IPN) were synthesized via radical polymerization of PMAA and simultaneous crosslinking of PEO using triisocyanate. The equilibrium swelling of PEO-PMAA IPN was determined at different pHs. The swelling of PEO-PMAA IPN, ranged from 20% to 90%, was more sensitive than that of homo polymer PMAA gel This is probably due to protonation and deprotonation of the PMAA network and interpolymer complex formation between PEO and PMAA. Several model drugs were loaded into the IPN matrices and the release mechanisms were investigated. The release of nonionizable drugs such as ftorafur and prednisolone was controlled by swelling of the matrices. However, he release of propranolol, positively charged drug, was more affected by the ionic interaction between the drug and PMAA newtork, and the interpolymer complexation.

• 멤브레인
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• 제29권4호
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• pp.231-236
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• 2019

본 연구에서는 보습오일 및 천연유화제를 포함한 하이드로젤 비드 및 고강도 하이드로젤 매트릭스로 구성된 알지네이트 기반의 하이드로젤 멤브레인을 제조하고 용출 특성을 평가하였다. 실험 결과, 하이드로젤 비드 및 고강도 하이드로젤의 조성을 조절하여 보습오일 성분의 용출 속도를 원하는 범위로 제어할 수 있음을 확인하였다. 특히 상호 침투 고분자 네트워크 구조를 가지고 있는 고강도 하이드로젤과 하이드로젤 비드를 결합함으로써 멤브레인의 물리적 안정성을 높이고 동시에 보습오일의 용출 속도를 더욱 세밀하게 제어할 수 있음을 확인하였다.

• Computers and Concrete
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• 제28권6호
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• pp.635-642
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• 2021

In this paper, soft learning techniques are used to predict the ultimate torsional capacity of Reinforced Concrete beams strengthened with Fiber Reinforced Polymer. Soft computing techniques, namely Artificial Neural Network, trained by various back propagation algorithms, and Particle Swarm Optimization (PSO) algorithm, have been used to model and predict the torsional strength of Reinforced Concrete beams strengthened with Fiber Reinforced Polymer. The performance of each model has been evaluated by using statistical parameters such as coefficient of determination (R²), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE). The hybrid PSO NN model resulted in an R² of 0.9292 with an RMSE of 5.35 for training and an R² of 0.9328 with an RMSE of 4.57 for testing. Another model, ANN BP, produced an R² of 0.9125 with an RMSE of 6.17 for training and an R² of 0.8951 with an RMSE of 5.79 for testing. The results of the PSO NN model were in close agreement with the experimental values. Thus, the PSO NN model can be used to predict the ultimate torsional capacity of RC beams strengthened with FRP with greater acceptable accuracy.

• Bulletin of the Korean Chemical Society
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• 제27권6호
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• pp.918-920
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• 2006

• 한국전기전자재료학회논문지
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• 제16권11호
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• pp.994-1000
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• 2003

In this study, gel polymer electrolytes (GPE) with semi-interpenerating network of poly (methyl methacrylate) and hexanediol dimethacrylate were synthesized and their electrochemical performances were evaluated. LiCoO$_2$/GPE/graphite cells were prepared and their performances depending on discharge currents and temperatures were evaluated. The precursor containing 5 vol% curable mixture had a low viscosity relatively. GPE showed good electrochemical stability up to potential of 4.8 V vs. Li/Li$\^$+/. Ionic conductivity of the gel polymer electrolyte at room temperature and -20$^{\circ}C$ was ca. 5.9 and 1.4${\times}$10$\^$-3/ Scm$\^$-1/, respectively. LiCoO$_2$/GPE/graphite cells showed good rate capability, low-temperature performance and cycleability.

• Macromolecular Research
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• 제12권5호
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• pp.431-436
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• 2004

Cross-linked network solid polymer electrolytes were prepared by means of in situ hydrosilylation between poly[hydromethylslioxane-g-oligo(ethylene oxide)] and diallyl or triallyl group-containing poly(ethylene glycols). The conductivities of the resulting polymer electrolytes were greatly enhanced upon the addition of poly(ethylene glycol) dimethyl ether (PEGDME) as an ion-conducting plasticizer. Conductivities of the cross-linked polymer electrolytes were more dependent on the molecular weight of PEGDME than on the cross-linkers. The maximum conductivity was found to be 5.6${\times}$10$\^$-4/ S/cm at 30$^{\circ}C$ for the sample containing 75 wt% of PEGDME (M$\_$n/ =400). These electrolytes exhibited electrochemical stability up to 4.5 V against the lithium reference electrode. We observed reversible electrochemical plating/stripping of lithium on the nickel electrode.

• 폴리머
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• 제25권1호
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• pp.71-77
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• 2001

불포화 폴리에스테르 수지(unsaturated polyester,UP)는 대표적인 열경화성 수지로 점도가 낮아 다양한 복합재료 공정을 용이하게 이용할 수 있어 범용 복합재료 수지로 많이 쓰이고 있다. 그러나 UP는 경화 후 부피가 5-8%정도 감소하고 알칼리에 약하며 brittle하다는 결점을 가지고 있다. 이러한 문제점들을 해결하기 위해 다양한 종류의 첨가제와의 블렌딩을 통하여 해결하려는 연구들이 수행되어지고 있다. 본 연구에서는 UP말단에 폴리우레탄(polyurethane, PU)을 도입하여 강인성을 향상시키고 이때 폴리우레탄의 soft segment인 폴리올이 UP/PU 고분자 네트워크 혼합체의 강인성에 미치는 영향을 살펴보았다. UP 말단 히드록실기에 메틸디이소시아네이트(methyldiisocyanate, MDI)를 먼저 반응시킴으로써 PU를 UP말단에 도입할 수 있었다. UP에 대한 PU의 함량이 2 wt%일 때가 가장 높은 강인성 값을 보였다. 이는 UP와 PU의 결합에 의한 효과이며 그 이상일 때 강인성 값들이 감소하는 것은 미반응물로 존재하는 폴리올 때문인 것으로 보여진다. 그리고 폴리올의 분자량이 증가할수록 분자의 움직임이 떨어지게 되어 충분히 반응에 참여하지 못하기 때문에 강인성 값은 떨어지는 것으로 나타났다.

• 한국고분자학회:학술대회논문집
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• 한국고분자학회 2006년도 IUPAC International Symposium on Advanced Polymers for Emerging Technologies
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• pp.60-61
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• 2006

New Energy and Industrial Technology Development Organization (NEDO) promotes R&D that individual private sector enterprises can not undertake by themselves. To do this, it utilizes an extensive network that supports cooperation between industries, universities, and public research organizations. NEDO's government-funded R&D budget for FY2005 totals approximately 148.8 billion yen. Fuel cells and hydrogen technology development project is one of NEDO's emphasizing projects. The budget size was ${\yen}$20.8 billion, corresponding to about 60% of annual expenditure of Japanese government for fuel cells in FY2005. These projects consist of 8 programs as follows.

• Smart Structures and Systems
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• 제15권6호
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• pp.1601-1623
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• 2015

Electroactive polymers have attracted considerable attention in recent years due to their sensing and actuating properties which make them a material of choice for a wide range of applications including sensors, biomimetic robots, and biomedical micro devices. This paper presents an effective modeling strategy for nonlinear large deformation (small strains and moderate rotations) dynamic analysis of polymer actuators. Considering that the complicated electro-chemo-mechanical dynamics of these actuators is a drawback for their application in functional devices, establishing a mathematical model which can effectively predict the actuator's dynamic behavior can be of paramount importance. To effectively predict the actuator's dynamic behavior, a comprehensive mathematical model is proposed correlating the input voltage and the output bending displacement of polymer actuators. The proposed model, which is based on the rigid finite element (RFE) method, consists of two parts, namely electrical and mechanical models. The former is comprised of a ladder network of discrete resistive-capacitive components similar to the network used to model transmission lines, while the latter describes the actuator as a system of rigid links connected by spring-damping elements (sdes). Both electrical and mechanical components are validated through experimental results.

• 약학회지
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• 제41권1호
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• pp.22-29
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• 1997

Poloxamer-poly (acrylic acid) (PAA) interpenetrating polymer networks (IPNs) were prepared via matrix polymerization of acrylic acid with poloxamer prepolymer. The equilibrium s welling of poloxamer/PAA IPNs was determined in various pH medium. The swelling of poloxamer/PAA IPNs was more affected by pH difference compared with the swelling of homo PAA gel due to protonation and deprotonation of the PAA network, followed by reversible formation and dissociation of the interpolymer complex due to hydrogen bonding between acidic hydrogens and ether oxygens. Nonionic/anionic/cationic drugs were incorporated into IPN matriceds as a model drug and their release behavior was studied. Nonionic, drug revealed release patterns depending solely on pH dependent swelling kinetics. In contrast, the release of ionic drugs was significantly affected by ionic drug-polymer interaction as well as the swelling kinetics.