Future Research Direction in Functionally Graded Materials and Summary

2017 ◽  
pp. 93-103 ◽  
Author(s):  
Rasheedat Modupe Mahamood ◽  
Esther Titilayo Akinlabi
Keyword(s):  
Functionally Graded Materials ◽  
Research Direction ◽  
Functionally Graded ◽  
Future Research ◽  
Future Research Direction ◽  
Graded Materials

scholarly journals Computational Design of Gradient Paths in Additively Manufactured Functionally Graded Materials

2018 ◽  
Vol 140 (11) ◽  
Author(s):  
Tanner Kirk ◽  
Edgar Galvan ◽  
Richard Malak ◽  
Raymundo Arroyave
Keyword(s):  
Functionally Graded Materials ◽  
Computational Design ◽  
Functionally Graded ◽  
Future Research ◽  
Graded Materials ◽  
316 L Stainless Steel ◽  
And Performance ◽  
Cr System ◽  
Parameter Dependency ◽  
Stainless Steel 316

Additive manufacturing (AM) has enabled the creation of a near infinite set of functionally graded materials (FGMs). One limitation on the manufacturability and usefulness of these materials is the presence of undesirable phases along the gradient path. For example, such phases may increase brittleness, diminish corrosion resistance, or severely compromise the printability of the part altogether. In the current work, a design methodology is proposed to plan an FGM gradient path for any number of elements that avoids undesirable phases at a range of temperatures. Gradient paths can also be optimized for a cost function. A case study is shown to demonstrate the effectiveness of the methodology in the Fe–Ni–Cr system. Paths were successfully planned from 316 L Stainless Steel (316 L SS) to pure Cr that either minimize path length or maximize separation from undesirable phases. Examinations on the stochastic variability, parameter dependency, and computational efficiency of the method are also presented. Several avenues of future research are proposed that could improve the manufacturability, utility, and performance of FGMs through gradient path design.

Dynamic Analysis with Stress Recovery for Functionally Graded Materials: Numerical Simulation and Experimental Benchmarking

2014 ◽  
Vol 2 (1) ◽  
pp. 21
Author(s):  
Carlos Alberto Dutra Fraga Filho ◽  
Fernando César Meira Menandro ◽  
Rivânia Hermógenes Paulino de Romero ◽  
Juan Sérgio Romero Saenz
Keyword(s):  
Numerical Simulation ◽  
Dynamic Analysis ◽  
Functionally Graded Materials ◽  
Functionally Graded ◽  
Stress Recovery ◽  
Graded Materials

Co-Enzyme Q10 to Treat Neurological Disorders: Basic Mechanisms, Clinical Outcomes, and Future Research Direction

2013 ◽  
Vol 12 (5) ◽  
pp. 641-664 ◽  
Author(s):  
Mohamed Salama ◽  
Ti-Fei Yuan ◽  
Sergio Machado ◽  
Eric Murillo-Rodriguez ◽  
Jose Vega ◽  
...  
Keyword(s):  
Clinical Outcomes ◽  
Neurological Disorders ◽  
Research Direction ◽  
Future Research ◽  
Future Research Direction

Viscoelastic fracture of multiple cracks in functionally graded materials

2009 ◽  
Vol 198 (33-36) ◽  
pp. 2643-2649 ◽  
Author(s):  
Feiyan Pan ◽  
Weijie Li ◽  
Baolin Wang ◽  
Xinghong Zhang
Keyword(s):  
Functionally Graded Materials ◽  
Functionally Graded ◽  
Multiple Cracks ◽  
Graded Materials ◽  
Viscoelastic Fracture
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