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Dog-bone Specimen: Conventionally, various dog-bone type specimens have been widely used for tensile tests to obtain mechanical properties of materials.
To improve failure predictions, rate dependent failure strain is multiplied by two scaling factors depending on both element size and triaxiality as given by Eq. 2.
εfail = εfail(εeq,p)Fscaling(Lelem)Gscaling(η), η=p/σvm , (2) where, Fscaling and Gscaling are scaling factors depending on element size Lelem and triaxality η, respectively.
Figure 6 shows the scale factors obtained for these models.
Fig. 6 Scale factors of the failure strain as a function of element size.

In the past, fire caused heavy property loss and casualties in spacecraft [1, 2].
The performance of water mist fire suppression system may be affected by many factors such as droplet size, water flow rate, water mist velocity, ventilation condition, combustion reaction characteristics.
Under the influence of the above two factors together, the water mist concentration changes slightly.
As for the effect of the water mist velocity, the performance of fire suppression is affected slightlyin microgravity.
ASME 2004 International Mechanical Engineering Congress and Exposition, Heat Transfer, Volume 1, 2004, 489-492

Factors such as the state of liquid iron and cooling conditions are determined.
Good control of the above questions, you can produce excellent comprehensive properties of vermicular cast iron.
The vermicular cast iron has the oxidation resistance, heat resistance, thermal conductivity at the same time, to ensure the good casting properties.
Mechanical design and manufacturing, in March 2008
Microstructure and properties of thin walled vermicular cast iron.

Zhang Institute of Microstructure and Property of Advanced Materials, Beijing University of Technology, 100 Ping-le Yuan, Chao Yang District, Beijing 100022, China a email: weisun@bjut.edu.cn Keywords: Al-Ni-Rh alloy, defect, crystalline approximant, electron microscopy, HAADF, HREM Abstract.
Since structural defects in a crystalline material have a great influence on its physical and mechanical properties, understanding the structural features of those unique defects in structurally complex alloy phases is therefore an important issue to be tackled.
In comparison with the traditional HREM imaging, the contrast of which is affected by many factors such as sample thickness, defocus values, etc., HAADF-STEM imaging is chemical sensitive and directly correlated with the atomic number of each constitutional element.
A HAADF-STEM image can therefore be interpreted directly without the need to consider those factors affecting the HREM imaging.

In order to apply [1] methodology to flow forming, prediction of microstructure and its effect and prediction of mechanical properties should be added in prediction models, due to their impact on final product quality and process mechanisms.
Prediction of surface properties.
Conclusions The sensitivity of the flow forming process to material properties affects both prediction accuracy and so the impact of theoretical models.
Podder et al., Effect of preform heat treatment on the flow formability and mechanical properties of AISI4340 steel, M&D 37 (2012)174-181
Djavanroodi, Experimental study of thickness reduction effects on mechanical properties and spinning accuracy of aluminum 7075-O, Int.J.Adv.Man.Tech. 52 (2010) 949-957

A correlation between surface properties and adhesive bonding strength was investigated.
Factors such as type of adhesive, type of adherents, pressure for bonding, bonding length, bonding thickness and surface preparation for bonding plays an important role in enhancing the bonding strength in between two composite structures.
In the present work, we investigated how the surface treatment affect the bonding quality.
The properties such as such as lap shear strength, the surface roughness and the surface composition were under investigated.
Summary The adhesive shear properties of the laser surface-treated composite were studied in this paper.

The homogenization allows to predict the elastic properties of the composite (effective properties) using knowledge of the elastic properties of each phase and the reinforcement scheme [1].
Strength of composite materials depends on a number of physicochemical and technological factors, related to each other [2, 3].
Adhesion is usually called surface phenomena, which consist in establishing the mechanical strength between two contact phases.
According to the presented dependences, the contribution of the elastic properties of the reinforcing phase (glass microspheres) to the elastic properties of the composite is overestimated.
A theoretical study of the effect of an interfacial layer on the properties of composites.

On the Development of Blend Faces and Holes Recognition Algorithm for CAE Applications Jiing-Yih Lai1*, Zi-Wei You1, Yu-Kai Chiu1, Ming-Hsuan Wang1, Chia-Hsiang Hsu2, Yao-Chen Tsai2 and Chung-Yi Huang2 1Department of Mechanical Engineering, National Central University, Taiwan 2CoreTech System (Moldex3D) Co., Ltd., Taiwan * jylai@ncu.edu.tw Keywords: Holes recognition, Blend faces recognition, Feature recognition.
Abstract Mesh generation is one of the key factors affecting computational efficiency and accuracy in finite element analysis.More and more software provides modules for automatic meshes generation.
It utilized the property that a hole was always accompanied with an inner loop in the B-rep model.

Modal is the natural vibration characteristics of mechanical structure.
Here for the metal plate, thickness is set as 1.5mm. 3) Defining material characteristics Material characteristics can affect modal analysis results to a great degree.
Here for the metal plate direct method is used to create geometric model with dimension of 160mm×240mm. 5) Setting up finite element model mesh Three steps are needed to set up the finite element model mesh after entity modelling: The first step is to assign element data, including element type, geometric parameters, physical properties and local coordinate system.
Therefore, boundary condition is one of the key factors for structure modal analysis.
[5] Benwen Xu:Basis of mechanical vibration and modal analysis(China Machine Press 1998)

Introduction Corrosion can be defined as degradation of quality and properties in a material due to the chemical reaction between the components of the material and the surrounding [1, 2].
Carbon steel has been the most widely used structural material which is abundantly available, inexpensive and has adequate mechanical properties but has a high general corrosion rate [1, 3].
Metallurgical factor is one of the primary concerns to the corrosion of welded carbon steel[5, 6].
Heat should be avoided during the cutting process in order not to affect the original microstructure of the sample.
Nonetheless, thickness of the material which was 3mm in this study has affected the penetration level of the weldment.