Effect of tool nose radius and tool wear on residual stresses distribution while turning in situ TiB2/7050 Al metal matrix composites

2018 ◽  
Vol 100 (1-4) ◽  
pp. 143-151 ◽  
Author(s):  
Kunyang Lin ◽  
Wenhu Wang ◽  
Ruisong Jiang ◽  
Yifeng Xiong
2020 ◽  
Vol 8 (2) ◽  
pp. 252-264
Author(s):  
Xiao-Fen Liu ◽  
Wen-Hu Wang ◽  
Rui-Song Jiang ◽  
Yi-Feng Xiong ◽  
Kun-Yang Lin

2018 ◽  
Vol 60 (12) ◽  
pp. 1221-1224 ◽  
Author(s):  
Balachandran Gobalakrishnan ◽  
P. Ramadoss Lakshminarayanan ◽  
Raju Varahamoorthi

2019 ◽  
Vol 61 (8) ◽  
pp. 779-786
Author(s):  
Bellamballi Munivenkatappan Muthami Selvan ◽  
Veeramani Anandakrishnan ◽  
Muthukannan Duraiselvam ◽  
Sivaraj Sundarameenakshi

Author(s):  
Partha Rangaswamy ◽  
N. Jayaraman

Abstract In metal matrix composites residual stresses developing during the cool-down process after consolidation due to mismatch in thermal expansion coefficients between the ceramic fibers and metal matrix have been predicted using finite element analysis. Conventionally, unit cell models consisting of a quarter fiber surrounded by the matrix material have been developed for analyzing this problem. Such models have successfully predicted the stresses at the fiber-matrix interface. However, experimental work to measure residual stresses have always been on surfaces far away from the interface region. In this paper, models based on the conventional unit cell (one quarter fiber), one fiber, two fibers have been analyzed. In addition, using the element birth/death options available in the FEM code, the surface layer removal process that is conventionally used in the residual stress measuring technique has been simulated in the model. Such layer removal technique allows us to determine the average surface residual stress after each layer is removed and a direct comparison with experimental results are therefore possible. The predictions are compared with experimental results of an eight-ply unidirectional composite with Ti-24Al-11 Nb as matrix material reinforced with SCS-6 fibers.


2018 ◽  
Vol 738 ◽  
pp. 344-352 ◽  
Author(s):  
R. Vasanth Kumar ◽  
R. Keshavamurthy ◽  
Chandra S. Perugu ◽  
Praveennath G. Koppad ◽  
Mohammad Alipour

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