The University of Osaka · 공학
Zhongyuan Feng 교수의 연구실은 용접 공정에서 잔류 응력과 피로 수명 향상을 위한 저변태전도도 용접재료 개발에 중점을 두고 있습니다. 특히 저변태전도도(저전이온도, LTT) 용접재를 활용한 다중패스 용접에서의 열-기계적 거동과 미세구조 제어를 핵심 연구 주제로 하며, 유한요소해석 및 동기형 X선 회절을 통한 실시간 상변화 관측 기법을 응용합니다. 또한 스마트 용접 공정 설계와 로봇 기반의 지능형 분업 시스템 설계를 위한 게임 이론 기반 정보 상호작용 모델링도 함께 진행하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
We investigated whether low transformation temperature (LTT) welding materials are beneficial to the generation of compressive residual stress around a weld zone, thus enhancing the fatigue performance of the welded joint. An experimental and numerical study were conducted in order to analyze the residual stress in multi-pass T-welded joints using LTT welding wire. It was found that, compared to the conventional welded joint, greater tensile residual stress was induced in the flange plate of the
Abstract Finite element analysis is commonly used to investigate the thermal-mechanical phenomena during welding. To improve the computing efficiency of finite element analysis for welding thermal conduction, a novel Newton – Raphson method (NRM) without the computation of inverse matrix and a hybrid method combing the NRM and conventional implicit method (IMP) were developed. Comparison of computing time between the hybrid method implemented in an in-house software JWRIAN and the IMP used in a
Two types of low-transformation-temperature weld metals were devised, one associated with primary austenite solidification, the other primary ferrite solidification. The martensite start temperature of both low-transformation-temperature weld metals was about 125°C. Experimental results showed that low-transformation-temperature weld microstructure associated with primary austenite solidification was martensite with 8.0% retained austenite, whereas that one related to primary ferrite solidificat
A new low transformation temperature (LTT) welding material 16Cr8Ni was developed to satisfy the optimal characteristics in diluted welds due to all repair welding positions. Its good weldability for all welding positions was tested. The measured Ms temperature of weld metals with different dilutions was between 150°C and 250°C which is the optimal range for compressive residual stress generation and fatigue life extension. The in-situ observation of phase evolution by the synchrotron-based X-ra
Two low-transformation-temperature weld metals, 12Cr6Ni and 8Cr10Ni weld metals, were devised and their martensite start temperatures were 245°C and 225°C, respectively. Despite a small difference of 20°C in martensite start temperature, the martensite finish temperature of the former was 100°C, while the one of the latter was below room temperature. The difference in martensite finish temperature was due to the stacking fault energy. Lower stacking fault energy accelerated martensitic transform
In rational decision-making processes, the information interaction among individual robots is a critical factor influencing system stability. We establish a game-theoretic model based on mutual information to address division of labor decision-making and stability issues arising from differential information interaction among swarm robots. Firstly, a mutual information model is employed to measure the information interaction among robots and analyze its influence on the behavior of individual ro
Transformer model has achieved excellent results in many fields, owing of its huge data volume and high precision requirements, the traditional analog compute-in-memory circuit can no longer meet its needs. To solve this dilemma, this paper proposes a digital compute-in-memory circuit based on the improved Booth algorithm. The 6T SRAM array stores the multiplicand, and the multiplier is encoded by the booth encoder, and then, local computing cell (LCC) read the corresponding value from the array
A Correction to this paper has been published: https://doi.org/10.1007/s00170-020-06437-w