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Wang, B .,Kong, L . X .,Hodgson, P . D .,Collinson, D . C . 대한금속재료학회(대한금속학회) 1998 METALS AND MATERIALS International Vol.4 No.4
The hot strength of austenitic steels of different carbon contents was modelled using an artificial neural network (ANN) model with optimum training data. As training data employed in a traditional neural network model were randomly selected from experimental data, they were not representative and the prediction accuracy and efficiency were therefore significantly affected. In this work, only representatively experimental data were used for training and during the procedure, one tenth of the training data extracted from experiment were used for testing the training model and terminating the modelling. The effects of the carbon con tent on flow stress, peak strains and peak stresses observed from the experiment for both training and test data were accurately represented with the ANN scheme reported in this work.
First 230 GHz VLBI fringes on 3C 279 using the APEX Telescope
Wagner, J.,Roy, A. L.,Krichbaum, T. P.,Alef, W.,Bansod, A.,Bertarini, A.,Gü,sten, R.,Graham, D.,Hodgson, J.,Mä,rtens, R.,Menten, K.,Muders, D.,Rottmann, H.,Tuccari, G.,Weiss, A.,Wieching, G.,W EDP Sciences 2015 Astronomy and astrophysics Vol.581 No.-
Numerical investigation of austenite grain size distribution in square-diamond pass hot bar rolling
Lee, H.W.,Kwon, H.C.,Im, Y.T.,Hodgson, P.D. Elsevier 2007 Journal of materials processing technology Vol.191 No.1-3
In this study, the austenite grain size (AGS) for hot bar rolling of AISI4135 steel was predicted based on two different AGS evolution models available in the literature. In order to predict the AGS more accurately, both models were integrated with a three-dimensional non-isothermal finite element program by implementing a modified additivity rule. The predicted results based on two models for the square-diamond (S-D) and round-oval (R-O) pass bar rolling processes were compared with the experimental data available in the literature. Then, numerical predictions depending on various process parameters such as interpass time, temperature, and roll speed were made to compare both models and investigate the effect of these parameters on the AGS distributions. Such numerical results were found to be beneficial to understand the effect of the microstructure evolution model on the rolling processes better and control the processes more accurately.
SCM435 강의 스퀘어-다이아몬드 압연 공정에서의 오스테나이트 결정립도 예측
이호원(Ho-Won Lee),권혁철(Hyuk-Cheol Kwon),임용택(Yong-Taek Im),S. H. Zahiri,P. D. Hodgson 대한기계학회 2004 대한기계학회 춘추학술대회 Vol.2004 No.11
In this paper, the local distribution of austenite grain size was experimentally determined by conducting single S-D pass hot bar rolling experiments of SCM435 steel. the laboratory mill was used for carrying out the rolling experiments. The local austenite grain size was also determined numerically. In order to predict austenite grain size, the austenite grain size evolution model was combined with three dimensional non-isothermal finite element analyses by adopting a modified additivity rule. The predicted results were in a reasonably good agreement with experimental results.