• Transactions of the Korean Society of Mechanical Engineers A
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• v.37 no.6
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• pp.753-760
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• 2013

The hydrogen embrittlement of metallic materials is an important issue from the viewpoint of structural integrity. In this regard, the estimation of mechanical properties and fracture toughness under hydrogen conditions provides very important data. This study provides an experimental validation of the approach for simulating the small punch of Inconel 617 using finite element damage analysis, as recently proposed by the authors, and applies an inverse method for the determination of the constitutive tensile behavior of materials. The mechanical properties obtained from the inverse method are compared with those obtained from the tensile test and validated. The mechanical properties and fracture toughness are predicted by using the inverse method and finite element damage analysis.

• Korean Journal of Materials Research
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• v.8 no.2
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• pp.99-104
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• 1998

사용중인 중화학 설비의 재료물성의 경년열화적 특성을 평가하기 위하여 기존 실험법의 인장시험편이나 충격시험편을 채취하기는 실제적으로 불가능하다. 인장강도등 인장특성과 비교한 결과 인장강도, 연신율, 항복강도, 종탄성계수와 소형펀치실험의 각 특성과 선형적 관계를 얻을 수 있었다. 또한 경년열화도를 평가하는 두구인 파면천이온도(FATT)와 비교하기 위하여 저온 소형펀치실험을 실시한 결과 충격실험을 통하여 구한 FATT온도와 소형펀치실험의 천이온도 ( $T_{sp}$ )와 일정한 관계가 있음이 밝혀져 사용재의 열화도를 평가할 수 있다.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 2003.05a
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• pp.147-152
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• 2003

원자로 압력용기 저합금강들은 원자로 가동 중 중성자 조사에 의해 재질열화 (material degradation)가 발생한다. 그러므로 계속적인 재질열화의 평가는 발전소의 수명을 예측, 평가하기 위해서 매우 중요하다. 그러나 표준시편을 이용한 인장시험, 충격시험 및 파괴인성 시험법 등은 조사시편의 크기 및 수량에 제한이 따르고, 높은 방사능으로 인해 시험편의 취급에도 제약을 받게 된다. 따라서 소형시편을 이용한 재료의 손상평가기술의 필요성이 부각되었고, 소형펀치시험(small punch test, SP test)은 그 중 하나의 유용한 시험 방법이다.(중략)

• Nuclear industry
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• v.14 no.12 s.142
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• pp.14-16
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• 1994

• Transactions of the Korean Society of Mechanical Engineers
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• v.15 no.5
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• pp.1665-1673
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• 1991

본 연구에서는 운전이력이 다른 보일러 과열기 및 재열기에서 수취한 Cr-Mo강 증기관을 대상으로 이 SP 시험법을 도입하여 SP시험에 의한 재질열화의 평가 가능성을 연구 검토하였다.

• Transactions of the Korean Society of Pressure Vessels and Piping
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• v.19 no.2
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• pp.117-129
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• 2023

Hydrogen embrittlement of a pipe is an important factor in hydrogen transport. To characterize hydrogen embrittlement, tensile and fracture toughness tests should be conducted. However, in the case of hydrogen-embrittled materials, it is difficult to perform tests in hydrogen environment, particularly at low temperatures. It would be useful to develop a methodology to predict the fracture toughness of hydrogen-embrittled materials at low temperatures using more efficient tests. In this study, the fracture toughness of API X52 steels in hydrogen at low temperatures is predicted from numerical simulation using coupled finite element (FE) damage analyses with FE diffusion analysis, calibrated by analyzing small punch test data.

• Proceedings of the KWS Conference
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• 1998.05a
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• pp.49-51
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• 1998

• Proceedings of the Korean Nuclear Society Conference
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• 1998.10a
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• pp.207-207
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• 1998

• Transactions of the Korean hydrogen and new energy society
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• v.21 no.4
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• pp.340-345
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• 2010

For the conversion into hydrogen society, not only studying facilities of hydrogen production, storage, transportation and charging system but also developing technique of ensuring safety are essentially needed. Hence, for the first step of that, evaluated the hydrogen embrittlement of Inconel alloy 617, Ni-based super heat-resisting alloy, by small punch test. Prepared the various specimens through changing electrochemical charging time and measured the toughness degradation of the specimens by small-punch test. The analysis of hydrogen embrittlement behavior were carried out by investigating the fractured surface of specimens. This study has significance on revealing mechanism of hydrogen embrittlement behavior and the factor affecting hydrogen embrittlement in the future study.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.24 no.7 s.178
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• pp.1753-1762
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• 2000

An inverse method is presented to obtain material's flow properties by using small punch test. This procedure employs, as the objective function of inverse analysis, the balance of measured load-di splacement response and calculated one during deformation. In order to guarantee convergence to global minimum, simulated annealing method was adopted to optimize the current objective function. In addition, artificial neural network was used to predict the load-displacement response under given material parameters which is the most time consuming and limits applications of global optimization methods to these kinds of problems. By implementing the simulated annealing for optimization along with calculating load-displacement curve by neural network, material parameters were identified irrespective of initial values within very short time for simulated test data. We also tested the present method for error-containing experimental data and showed that the flow properties of material were well predicted.