Graded Materials for Resistance to Contact Deformation and Damage
By Subra Suresh. Science, 2001
838 citations recorded by the source corpus.
Subfields: Materials Chemistry, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/9a7bab8ade2f387a5e1d93c9b22a5527f0bca43f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Materials Chemistry
In Mechanics of Materials
- Glaucio H. Paulino
- Xiaolei Wu
- Yuntian Zhu
- Sharif Rahman
- Yue-Sheng Wang
- Arindam Chakraborty
- Subra Suresh
- L. Ke
Citations in the corpus
- Modified nonlocal elasticity theory for functionally graded materials (2015, background): “The advanced physical and mechanical characteristics of FG materials make them to be research matter for diverse disciplines as tribology, geology, optoelectronics, biomechanics, fracture mechanics and micro- and nanotechnology (Suresh & Mortensen, 1998; Suresh, 2001).”
- Functional gradients and heterogeneities in biological materials: Design principles, functions, and bioinspired applications (2017, background): “The introduction of such gradients can be highly beneficial for the global properties of the material by, for example, mitigating stress concentrations, avoiding marked mismatches in properties and preventing crack propagation at the interfaces [3,4,7].”
- Two-dimensional thermoelastic contact problem of functionally graded materials involving frictional heating (2011, background): “Many experimental and numerical results have shown that a properly controlled material property gradient in the FGM can lead to a significant improvement in the resistance to contact deformation and damage (cf. Suresh et al., 1999; Pender et al., 2001; Suresh, 2001).”
- Nonlinear elasticity in nanostructured materials (2011, background): “These effects play a major role in many complex systems such as dispersions of inhomogeneities or buried quantum dots [30–34], graded structures [35, 36], complex interfaces [37–40] and nanoalloys or -composites [41–43].”
- Extraction of mechanical properties of materials through deep learning from instrumented indentation (2020, background): “Furthermore, it offers the potential to determine processing-induced residual stresses (2), anisotropic properties (10), property gradients arising from compositional, microstructural, or residual-stress gradients in materials (11, 12), as well as coupled electrical–mechanical responses of integrate”
- Improved fatigue resistance of gradient nanograined Cu (2019, background): “In fatigued CG metals, typical cyclicstraining-induced microstructures such as deformation bands, persistent slip bands or cell structures, lead to large surface roughening [2,24].”
- Anisotropic Friction of the Ventral Scales in the Snake Lampropeltis getula californiae (2014, background): “However, for the hardcushioned preparation, the stress distribution and energy dissipation are significantly reduced [27, 39, 40].”