scholarly journals Finite Element Prediction of Deformation of Material due to Springback after Material Removal of a Forging

2017 ◽  
Vol 26 (4) ◽  
pp. 205-209
Author(s):  
M.S. Joun ◽  
W.J. Chung ◽  
S.W. Jeong
2016 ◽  
Vol 20 (3) ◽  
pp. 294-301 ◽  
Author(s):  
Qian Liu ◽  
Wanchun Wang ◽  
Andrew R. Thoreson ◽  
Chunfeng Zhao ◽  
Weihong Zhu ◽  
...  

2020 ◽  
Vol 10 (15) ◽  
pp. 5286
Author(s):  
Xiaolong Ke ◽  
Lei Qiu ◽  
Chunjin Wang ◽  
Zhenzhong Wang

The material removal depth in the pre-polishing stage of the precision optics is usually tens of microns to remove the subsurface damage and grinding marks left by the previous grinding process. This processing of the upstand edge takes a large part of the time at this stage. The purpose of this paper is to develop a method that can reduce the edge effect and largely shorten the processing time of the pre-polishing stage adopting the semirigid (SR) bonnet. The generation of the edge effect is presented based on the finite element analysis of the contact pressure at the edge zone firstly. Then, some experimentations on the edge effect are conducted, and the results proved that the SR bonnet tool can overhang the workpiece edge in the pre-polishing stage to reduce the width and height of the upstand edge to largely shorten the subsequent processing time of it. In addition, there exists a perfect overhang ratio, which generates the upstand edge with the smallest width and height, with no damage to the bonnet tool in the meantime. In addition, one combination of the pre-polishing parameters is concluded according to this method, which can be safely adopted in practical process.


2015 ◽  
Vol 19 (5) ◽  
pp. 563-570 ◽  
Author(s):  
Ridha Hambli ◽  
Sana Frikha ◽  
Hechmi Toumi ◽  
João Manuel R. S. Tavares

2007 ◽  
Vol 44 (5) ◽  
pp. 545-563 ◽  
Author(s):  
Tien H Wu ◽  
Steven Z Zhou ◽  
Stephan M Gale

The case history of an embankment built over soft water-treatment sludge is presented. To assure that the sludge would consolidate and gain strength as predicted, a test embankment was built. The observed performance of the test embankment was compared with the predicted performance to verify and modify design assumptions. The results were used to design and construct the full-scale embankment. The finite element method and the critical state model were used to predict the performances of the test embankment and the full-scale embankment. Bayesian updating and system identification were used to update the material properties used in the prediction for the test embankment. The updated properties were then used to update the prediction for the test embankment and to predict the performance of the full-scale embankment. These predictions were compared with the observed performances to evaluate the accuracies of the predictions with different input data. Efforts were made to identify factors that cause differences between predicted and measured performances.Key words: Bayesian updating, consolidation, finite-element prediction, shear strength, stability, water-treatment sludge.


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