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Douglas Stauffer's picture

Nanobrücken 2015: A Nanomechanical Testing Workshop & Hysitron User Meeting

Max Planck Institute of Colloids and Interfaces and Hysitron, Inc. are pleased to present Nanobrücken 2015: A Nanomechanical Testing Workshop & Hysitron User Meeting, which will take place on April 21-23, 2015 in Potsdam, Germany. Nanobrücken 2015 is the fifth edition of the now-annual Nanobrücken workshop series, having been hosted in both Saarbrücken and Dresden.

The Keynote Speaker for this year's workshop will be Prof. Mathias Göken, Universität Erlangen-Nürnberg.

Yong Zhu's picture

Size effects on elasticity, yielding, and fracture of silver nanowires

This paper reports the quantitative measurement of a full spectrum of mechanical properties of fivefold twinned silver (Ag) nanowires (NWs), including Young’s modulus, yield strength, and ultimate tensile strength. In-situ tensile testing of Ag NWs with diameters between 34 and 130 nm was carried out inside a scanning electron microscope (SEM). Young’s modulus, yield strength, and ultimate tensile strength all increased as the NW diameter decreased.

Yong Zhu's picture

Mechanical Properties of Silicon Nanowires

In this paper that was published a few months ago, we reported the size effects on the elastic modulus and fracture strength of silicon nanowires. In addition, we observed that the silicon nanowires are linear elastic until fracture with a very large fracture strain up to 12%.

Y. Zhu, F. Xu, Q. Qin, W. Y. Fung, and W. Lu, Nano Letters 9, 3934-3939, 2009

Abstract:

Yong Zhu's picture

Mechanical properties of ZnO nanowires under different loading modes

In this paper, we report the size effects on elastic modulus and fracture strength of ZnO nanowires from the tension, and that the measured (nominal) elastic moduli under tension and bending (from the buckling experiment) are different as a manifestation of the size effects. 

F. Xu, Q. Qin, A. Mishra, Y. Gu, and Y. Zhu, Nano Research, DOI: 10.1007/s12274-010-1030-4, 2010

Abstract:

Non Local Model Vs Implicit Gradient Model

Hi All :

 

I was wondering why some people prefer to use Non Local Model while some others use Implicit Gradient Model (which can be derived from Non Local Model) .

When implicit Gradient Model is itself derived from Non Local Model ,and its FE implimentation just involves an additional average to be calculated and what is the need to introduce gradient terms ??

 

Thanks Alot

 

Kapil 

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