Search results

It is well know that the aging process is an effective way to improve conductivity and mechanical properties of 6xxx series alloys [8-13].
Results Effect of Aging Process on Properties of Aluminum Alloy Wires.
Therefore, in the temperature scope (150-190˚C) of this study, the β″-precipitate was considered as the major factors affecting tensile strength and resistivity.
Sun, Effect of heat treatment on Microstructure and mechanical properties of 6082/6063 alloys D, Chang Sha: Central South University. (2012)
Effect of aging on mechanical properties of 6063 Al-alloy using instrumented ball indentation technique J, Materials Science & Engineering A. 527 (6) (2009)1590-1594

Dolomites from different places may show different properties due to the variation of their structural, textural, and chemical properties [2].
During planetary ball milling, large solid particles are mechanically broken down into smaller solid particles without affecting their chemical structure [5].
The size of the final product is influenced by a number of factors such as rotation speed, time, ball-to-powder ratio, ball quantity, ball type, and ball diameter [5].
Due to the poor dispersion of dolomite, their reinforcing capacity may be impaired, resulting in the formation of composites with inferior properties [11].
As a result of these factors, dolomite must undergo a pre-dispersion process to minimise particle agglomeration, thereby ensuring adequate dolomite dispersion in the polymer matrix.

Judges classified strawberry properties on a scale of 0~10.
Due to this gas flow was controlled by suitable barrier properties of packaging material, equilibrium was achieved.
Fruit firmness was one of the important factors which can decide strawberry quality and its post-harvest physiology.
So the rot grade was a main factor limiting strawberry shelf life.
The appearance, smell, and color of the fruit were important factors that customers considered when purchased strawberry.

Introduction Silicon carbide (SiC) is a promising material due to its remarkable properties: chemical inertness, high stiffness, hardness, toughness, optical properties, wear resistance, etc.
Even as an amorphous thin film, this material retains many of its attractive properties.
Recent developments in deposition techniques broaden the mechanical and chemical microsystem applications of a-SiC and the electrical and optical microsystem applications as well.
In addition, particular attention has been paid to mechanical stress, an important parameter in such mechanical applications of a-SiC as microelectromechanical systems (MEMS), nano-coatings, masking material in Si micromachining technology, etc.
Since thermal stress by the mismatch of coefficients of thermal expansion is not as powerful on the MD simulation scale as on the practical experimental scale [8], we ignore the influence of this factor.

An online surface defects detection system for step-axis Jili Lu 1,2,a, Mingxing Lin 1,b 1School of Mechanical Engineering, Shandong University, Jinan 250061, China 2School of Mechanical and Electronic Engineering, Zaozhuang University, Zaozhuang 277160, China a lujili168@163.com, b mxlin@sdu.edu.cn Keywords: Defects Detection, Median Filter, Gray Variation, Feature Extraction, Support Vector Machine (SVM) Abstract.
To ensure the real-time property, a fast axial surface defects inspection method is put forward, including improved median filtering to reduce noise, gray variation for fast judgment, the maximum variance method (OTSU) to select threshold automatically, contour features for feature extraction, mathematical morphology to detect defect targets, and finally, support vector machine (SVM) to classify and recognize the surface defects of ladder shaft.
All these defects may affect the product’s performance, cause deformation, impact efficiency, lower product life, some even lead to crack propagation, especially when rotating in high speed, they may have more destructive.
To ensure real-time property, improved median filtering [5] is employed to smooth image.
Based on the characteristics and factors of these defects, it is known that the defect area is large and appears in single piece generally, the outline is clear, but the gray distribution is concentrated between background and defects, and the contrast is not obvious.

Analysis of Extreme High-temperature time series based on Empirical Mode Decomposition Hao Ma School of Mechanical Engineering, Shanghai Institute of technology, Shanghai 201418, China tracy_mahao@126.com Keywords: Atmospheric turbulence, Temperature time series, Empirical mode decomposition.
In this paper, considering the nonlinear and non-stationary properties of extreme high-temperature time series, we introduce Empirical Mode Decomposition to analyze the extreme high-temperature time series from 1959 to 2012 in Fengxian district of Shanghai.
The various climate factors in China, especial the extreme high-temperature, revealed complex fluctuations.
Because of special geographic position, it is affected by the urban heat island effect, which is less obvious than highly urbanized areas[2].
Due to characterizing multiscaling scale invariant properties directly, the EMD method has met a large success and has been successfully applied to many topics in the natural and applied sciences: water wave analyzing, earthquake wave analyzing, meteorology and climate studies, and biological applications, among others.

The shape and fractional volume of the phases present in the alloy are largely determined by factors collected during the production process [2].
Because of the properties of HA, it can be used to cover porous metallic implants.
Shen et al., “Altering the wetting properties of orthopaedic titanium alloy (Ti–6Al–7Nb) using laser shock peening” J.
Bartmański, “The Morphology, Structure, Mechanical Properties and Biocompatibility of Nanotubular Titania Coatings before and after Autoclaving Process” J.
Dorozhkin, “Calcium orthophosphate deposits: Preparation, properties and biomedical applications” Mater.

Grain refinement can greatly enhance the material mechanics, magnetism and other physical properties.
Grain size has a significant effect on the performance of the material, especially on mechanical properties.
Fined grains can obviously improve the comprehensive mechanical properties of alloy and enhance the strength, hardness and wear resistance etc. of the material.
It has been first discovered by Professor Walker5 that the grain size of Ni metal melt is affected by.
So far, BCT model is still the most comprehensive theory which could considerate various factors [17].

Treatment causes some changes in the properties of the substrate such as a reduction of the % water uptake (up to 15%) as well as an increase in the elastic modulus (up to 10%). 1.
Since the application of consolidants in building materials greatly affects their physico-chemical and physico-mechanical characteristics, they must satisfy certain specifications [1].
During the preparation process, some certain critical parameters are affecting the properties of the final solution both in the liquid and solid phases.
Velo-Simpson, “Particle-modified consolidants: A study on the effect of particles on sol-gel properties and consolidation effectiveness, Journal of Cultural Heritage 8 (2007) 1-6
Padavettan, Synthesis of Silica Nanoparticles by Sol-Gel: Size-Dependent Properties, surface Modification, and Applications in Silica-Polymer Nanocomposites- A Review, Hindawi Publishing Corporation Journal of Nanomaterials V. (2012)

There are lots of factors affecting the dispersion stability of nanofluids[9-12].
The results showed that for the nanoparticles with different property, there were big differences of the dispersion stability under the action of different surfactants.
The effect of pH value The pH value is also an important factor affecting the dispersion stability of nanofluids.
Conclusions The main factors affecting the dispersion stability of water-based nanofluids prepared by using the supersonic dispersion method are involved in the types and the dosage of the dispersants, ultrasonic power, ultrasonic time, the size of the nanoparticles, pH value, etc.
[10] PENG Xiao-fei,YU Xiao-li,XIA Li-feng, “Influence factors on suspension stability of nanofluids,” Journal of Zhejiang University(Engineering Science), 2007, 41（4）: 577-580