http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
CFRP/알루미늄 복합재에서 CFRP의 표면처리가 T-peel 강도에 미치는 영향
이경엽(Rhee Kyong Yop),양준호(Yang Jun Ho) 대한기계학회 2001 대한기계학회 춘추학술대회 Vol.2001 No.3
This study investigates the surface treatment of CFRP (Carbon Fiber Reinforced Composites) to improve the T-peel strength of CFRP/aluminum composites. The surface of CFRP ([0˚]₁₄) was treated by Ar? ion beam under oxygen environment. T-peel tests were performed based on the procedure of ASTM D1876-95. The results showed that the T-peel strength of surface-treated CFRP/aluminum composites was about 5.5 times greater than that of untreated CFRP/aluminum composites.
알루미늄/CFRP 복합재의 접착강도 향상을 위한 경화방법에 관한 연구
이경엽(Kyong Yop Rhee),양준호(Jun Ho Yang),최낙삼(Nak Sam Choi) 한국자동차공학회 2002 한국 자동차공학회논문집 Vol.10 No.3
This study investigates the effect of curing method on the bonding strength of aluminum/CFRP composites. The surface of aluminum panel was treated by DC plasma. Lap shear tests and T-peel tests were performed based on the procedure of ASTM 906-94a and ASTM D 1876-95, respectively. Test samples were fabricated by using the co-curing method and the secondary curing method. The results showed that the shear strength of test samples made by the co-curing method was 2.5 times greater than that of test samples made by the secondary curing method. The T -peel strength of the co-curing method case was almost 2 times greater than that of the secondary curing method case.
Carbon nanotubes synthesis using diffusion and premix flame methods: a review
Garima Mittal,Vivek Dhand,Kyong Yop Rhee,Hyeon-Ju Kim,Dong Ho Jung 한국탄소학회 2015 Carbon Letters Vol.16 No.1
In recent years, flame synthesis has absorbed a great deal of attention as a combustion method for the production of metal oxide nanoparticles, carbon nanotubes, and other related carbon nanostructures, over the existing conventional methods. Flame synthesis is an energyefficient, scalable, cost-effective, rapid and continuous process, where flame provides the necessary chemical species for the nucleation of carbon structures (feed stock or precursor) and the energy for the production of carbon nanostructures. The production yield can be optimized by altering various parameters such as fuel profile, equivalence ratio, catalyst chemistry and structure, burner configuration and residence time. In the present report, diffusion and premixed flame synthesis methods are reviewed to develop a better understanding of factors affecting the morphology, positioning, purity, uniformity and scalability for the development of carbon nanotubes along with their correlated carbonaceous derivative nanostructures..
Zare, Yasser,Rhee, Kyong Yop,Park, Soo-Jin Elsevier 2017 International journal of adhesion and adhesives Vol.79 No.-
<P><B>Abstract</B></P> <P>In this paper, the polymer-metal interfacial/interphase parameters (PMIP) in polymer/metal nanocomposites are studied by modeling the mechanical properties. In this regard, the experimental results of yield strength, Young's modulus and elongation at break can be compared with the micromechanical models to evaluate the PMIP. The good agreement obtained between the experimental data of samples and the predictions confirms the applicability of models for polymer/metal nanocomposites. Many calculated parameters show the existence of a strong interphase in the reported samples. It is concluded that the fine morphology of nanoparticles and the strong interaction/adhesion at the polymer-metal interface can produce the significant PMIP in the polymer/metal nanocomposites.</P>
Zare, Yasser,Rhee, Kyong Yop Elsevier 2019 Composites Part B, Engineering Vol.156 No.-
<P><B>Abstract</B></P> <P>This paper simplifies and develops the conventional model suggested by McLachlan for electrical conductivity of polymer CNT nanocomposites. The original model expresses the conductivity as a function of filler concentration, filler conductivity, filler percolation threshold and an exponent. However, this model is developed by considering the roles of interfacial tension between polymer matrix and nanoparticles, tunneling distance between adjacent nanotubes, interphase regions around nanoparticles and waviness of CNT. The experimental results of conductivity for some samples and the analysis of the effects of various parameters on the conductivity evaluate the developed model. The predictions demonstrate fine agreement with the experimental results and the parameters show acceptable roles in the conductivity of nanocomposites. A large tunneling distance significantly decreases the conductivity to zero. Likewise, the higher and slighter surface energies of the polymer matrix and filler, respectively cause an improved conductivity. A thin interphase produces very low conductivity, while a thick interphase and a low waviness improve the conductivity.</P>
Zare, Yasser,Rhee, Kyong Yop Elsevier 2018 Composites. Part B, Engineering Vol.155 No.-
<P><B>Abstract</B></P> <P>This study develops a power-law model for characterizing the conductivity of polymer carbon nanotube (CNT) nanocomposite by defining the “b” exponent as a function of main parameters such as filler dimensions, filler waviness, interphase thickness, network fraction, tunneling distance, and polymer-filler interfacial energy. Both “b” and conductivity are calculated, and the effects of these parameters on the conductivity are determined. The model accurately predicts the experimentally measured conductivity of the samples. The highest filler conductivity and the lowest “b” exponent cause the maximum conductivity. Some parameters, such as tunneling distance, filler concentration, filler radius, interphase thickness, and waviness, directly affects the “b” exponent, while other parameters, such as the fraction of percolated CNT, interfacial energy, and filler length, demonstrate an inverse relationship with “b.” In addition, short tunneling distance, high filler fraction, thin and large nanotubes, thick interphase, poor waviness, high network fraction, and high interfacial energy produce a high conductivity.</P>
Zare, Yasser,Rhee, Kyong Yop Elsevier 2017 Applied clay science Vol.150 No.-
<P><B>Abstract</B></P> <P>This paper presents a two-step methodology for prediction of tensile strength in montmorillonite/polymer nanocomposites (MPN) assuming the effects of montmorillonite morphology (intercalation/exfoliation) and interphase properties. The suggested technique is evaluated by the experimental data of tensile strength in some samples. A good agreement is shown between experimental measurements and predictions, which can determine the intercalation/exfoliation level and interphase properties. A high aspect ratio of Mt platelets increases the interfacial interaction and mechanical involvement between polymer chains and nanoparticles causing high strengthening effect. Moreover, high concentration of well-exfoliated Mt as well as thick and strong interphase produces desirable tensile strength in MPN.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A two-step methodology for tensile strength of Mt/polymer nanocomposites is presented. </LI> <LI> The Mt morphology and interphase properties are assumed by a simple model. </LI> <LI> The suggested methodology shows good agreement with the experimental data. </LI> <LI> The high concentration of well-exfoliated platelets causes a high strength. </LI> <LI> The tensile stregth of MPN directly relates to the thickness and strength of interphase. </LI> </UL> </P>
Zare, Yasser,Rhee, Kyong Yop,Hui, David Elsevier Science Ltd 2017 Composites Part B, Engineering Vol.122 No.-
<P><B>Abstract</B></P> <P>In this article, the roles of nanoparticles aggregation/agglomeration in the interfacial/interphase and tensile properties of polymer nanocomposites are discussed. The interfacial/interphase and tensile levels are quantitatively characterized in some samples using known models assuming the aggregation/agglomeration phenomena by the effective volume fraction of nanoparticles. The findings show that the nanoparticles aggregation/agglomeration significantly reduces the interfacial/interphase and tensile properties of nanocomposites via decreasing the specific surface area and effective volume fraction of nanoparticles. Additionally, Kerner and Paul models suggest the accurate predictions compared to the experimental data considering the aggregated/agglomerated nanoparticles. However, assumption of well-dispersed nanoparticles over-predicts the modulus in the reported samples.</P>