• 소성∙가공
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• 제3권2호
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• pp.215-228
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• 1994

The purpose of this paper is to pursue a general method to determine both the flow stress of a material and the friction factor by ring compression test. The materials are assumed to obey the expanded n-power hardening rule including the strain-rate effect. Ring compression is simulated by the rigid-plastic finite element method to obtain the database used in determining the flow stress and friction factor. The Simulation is conducted for various strain hardening exponent, strain-rate sensitivity, friction factor, and compressing speed, as variables. It is assumed that the friction factor is constant during the compression process. To evaluate the compatibility of the database, experiments are carried out at room and evaluated temperature using specimens of aluminum 6061-T6 under dry and grease lubrication condition. It is shown that the proposed test method is useful and easy to use in determining the flow stress and the friction factor.

• 한국재료학회지
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• 제4권7호
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• pp.828-836
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• 1994

YBCO산화물초전도체의 고온변형 특성을 조사하기 위하여 $890^{\circ}C$ ~ $930^{\circ}C$의 온도범위에서 $1.0 x 10^{-5}s^{-1}\sim 1.0^{-4}s^{-1}$의초기변형속도로 압축시험을 수행하였다. 변형온도가 증가함에 따라 또한 초기변형속도가 감소함에 따라 flow stress는 감소하였다. 변형률속도 민감지수는 0.41-0.46이었다. 이는 초소성 변형이 일어났음을 보여준다. 초소성변형에 대한 활성화 에너지는 약 500 ~ 580KJ/mol이었으며 Ag첨가량이 증가할수록 활성화에너지는 감소하였다. 초소성변형된 시편들의 미세조직 관찰결과 변형중에 결정립 성장이 일어났으며 Ag양이 증가함에 따라 이러한 현상을 뚜렷하였다. 변형후 결정립 형태는 등축상을 유지하였다. 이러한 결과로 볼때, YBCO 초전도체의고온변형기구는 확산을 동반한 결정립계 미끄러짐으로써 그 비율은 전 변형량중 약 65%정도였다.

• 한국정밀공학회지
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• 제26권10호
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• pp.89-96
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• 2009

In recent years, there has been a considerable interest in the application of super plastic forming in the aircraft and automotive industries. This requires a detailed design of the technological process in order to exploit its peculiar potentialities better. Nowadays, the finite element method is used to plan the sheet metal forming processes whose simulation requires determination of material constants for super plastic materials. The present work is aimed to show a simple method to characterize super plastic materials duplex stainless steel which was formed by a constant gaspressure to hemispheres with and without back pressure. The forming operation was performed using an in-house designed and built biaxial forming apparatus. The temporal change of dome heights of hemispheres were measured for applying the pressures. The flow stresses and strain rates developed at the top of the dome during the forming step were shown to follow closely the flow stress - strain rate relationship obtained from the strain rate change tests performed at the same temperature.

• 대한기계학회논문집A
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• 제32권9호
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• pp.740-753
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• 2008

The conventional Split Hopkinson Pressure Bar (C-SHPB) technique with aluminum pressure bars to achieve a closer impedance match between the pressure bars and the specimen materials such as hot temperature degraded POM (Poly Oxy Methylene) and PP (Poly Propylene) to obtain more distinguishable experimental signals is used to obtain a dynamic behavior of material deformation under a high strain rate loading condition. An experimental modification with Pulse shaper is introduced to reduce the nonequilibrium on the dynamic material response during a short test period to increase the rise time of the incident pulse for two polymeric materials. For the dynamic stress strain curve obtained from SHPB experiment under high strain rate, the Johnson-Cook model is applied as a constitutive equation, and we verify the applicability of this constitutive equation to the probabilistic reliability estimation method. The methodology to estimate the reliability using the probabilistic method such as the FORM and the SORM has been proposed, after compose the limit state function using Johnson-Cook model. It is found that the failure probability estimated by using the SORM is more reliable than those of the FORM, and the failure probability increases with the increase of applied stress. Moreover, it is noted that the parameters of Johnson-Cook model such as A and n, and applied stress affect the failure probability more than the other random variables according to the sensitivity analysis.