scholarly journals A simulative experiment for characterizing the strength of functionally gradient material. (The analysis for the case of radial crushing test).

1991 ◽  
Vol 57 (535) ◽  
pp. 597-602
Author(s):  
Yasuyoshi FUKUI ◽  
Hiroyuki KINOSHITA ◽  
Kenji NAKANISHI
Keyword(s):  
Gradient Material ◽  
Functionally Gradient Material ◽  
Functionally Gradient

Effect of B4C Particle Size on the Properties of Al/(Al–B4C)/Al Functionally Gradient Material

2020 ◽  
Vol 58 (11-12) ◽  
pp. 737-742
Author(s):  
Yingshui Yu ◽  
Chenglong Yao ◽  
Yubo Zhang ◽  
Guangye Xu ◽  
Tingju Li ◽  
...  
Keyword(s):  
Particle Size ◽  
Gradient Material ◽  
Functionally Gradient Material ◽  
Functionally Gradient ◽  
B4c Particle

Metal-ceramic functionally gradient material produced by laser processing

1993 ◽  
Vol 28 (10) ◽  
pp. 2820-2826 ◽  
Author(s):  
K. Mohammed Jasim ◽  
R. D. Rawlings ◽  
D. R. F. West
Keyword(s):  
Laser Processing ◽  
Gradient Material ◽  
Functionally Gradient Material ◽  
Functionally Gradient ◽  
Metal Ceramic

Multi-Objective Optimal Design of Functionally Gradient Materials

2016 ◽  
Author(s):  
Anthony Garland ◽  
Georges Fadel
Keyword(s):  
Topology Optimization ◽  
Material Design ◽  
Optimal Placement ◽  
Gradient Material ◽  
Gradient Materials ◽  
Functionally Gradient Material ◽  
Topology Optimization Problem ◽  
Functionally Gradient ◽  
Conflicting Objectives ◽  
Single Part

The objective of this research is to optimally design both the topology and material distribution of functionally gradient material objects while considering more than one objective. Many techniques exist for both topology optimization and optimal placement of functionally gradient material within a single object, but combining the two is challenging. In addition, gradient materials allow customization of individual regions of a single part in order to achieve conflicting objectives or constraints. This paper shows a technique for concurrent topology and material gradient optimization within a single part while considering two conflicting objectives. The algorithm is applied to a standard topology optimization problem. The resulting gradient material designs have regions with distinct functionality and the material in these regions is chosen based on the regions function. In addition, a comparison of the gradient material design and a corresponding homogenous material design shows a significant improvement in the objective value for the gradient material design.

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