Search results

Unlike core affect which exists within the person, it is a property of the stimulus a human perceives.
Eleven Component Factors Extracted from Group G1.
Table 2: Six factors extracted from Group G1b including 39 adjective pairs Eight Component Factors extracted from Group G2.
Nine factors extracted from Group G3a including 37 adjective pairs Twenty-two Component Factors extracted from Group G3.
These typical affective meanings were suggested as the affective meanings to describe interactive products, or as the semantic domains in Kansei Engineering to define the semantic properties of products.

Larger sized β phase grains can easily be formed under different conditions such as insufficient deformation or slow cooling rate during the forging process, which may affect the mechanical properties of TC18 bars.
The above phenomenon can be affected by different factors such as insufficient deformation amount or slow cooling rate during forging process.
It is commonly supposed that the differences in physical strength between center layer and surface layer of large sized TC18 bars are caused by different ap (primary a phase) microstructures, that is to say lamellar ap at center layer has lower mechanical properties than globular ap at surface layer.
Therefore the microstructure and texture of β phase have direct impact on the mechanical properties of TC18 bar.
Large sized β grains with mostly unstable <100> orientation (smaller orientation factor) at center layer of forged TC18 bars induce lower physical strength [1].Studies [2-5] have shown that the greater sized β matrix grains can easily result in more obvious variants selection of α phase, which further incline to form disqualified microstructure such as macro zone.

Composite foundation settlement is affected by many factors, and settlement data is a non-linear changing process with complexity, suddenness and progressive nature and so on.
Although the method of analyzing the influential factors to model in theory is much more clear and specific, the complexity of these influential factors itself will affect the practical application results of the theoretical modeling .Modeling methods ,based on monitoring data , Modeling method based on the monitoring data and the existence of which contains features extraction and into the implementation difficulties.
First of all, actual monitoring data of foundation settlement will be affected by many external factors.Remove all the interference effectively by EMD decomposition and get useful information to improve the effect of predicting the model itself.
Secondly, there is a certain time evolution between foundation settlement and external environmental factors .
Among many factors of foundation settlement,there are large differences between different characteristic time scales.

The mechanical properties include Young’s modulus, Poisson’s ratio, the thermal expansion coefficient, and uniaxial stress-strain curves at several temperatures.
Temperature dependent and independent material properties are evaluated at each integration point.
In the commercial software @ANSYS, material properties are defined to elements, implying that every intgeration point within that element is defined as having the same material properties.
This is modeled by changing the material properties of the molten base material to the fusion zone material upon solidifying.
Based on these 2 differences, from material modelling point of view, the fusion line forms a discontinuity in material properties.

Research for Specimen Preparation Technology of Basalt Fiber Reinforced Concrete As described above, BFRC specimen’s preparation technology may have effect on its mechanical properties.
Construction process has great influence on the mechanical properties of concrete and is based on specimen’s preparation technology.
So the technology is researched for analysing the influence factors of concrete strength.
Enhancement Mechanism Analysis of Basalt Fiber Reinforced Concrete Compared with the continuous fiber composite, short-cut fiber composite’s special nature brings more complex stress distribution when it meets external force, so fiber’s volume fraction, varieties, mixing technology and distribution’s directivity affect mechanical properties of composite materials.
The former is based on material properties’ superposition in composite; the latter is based on the perfect bond between fiber and matrix material.

Evolutionary Computing for Metals Properties Modelling 1,aM.F.
This paper is concerned with generating mathematical models for hybrid models that have been developed for modelling metals properties under hot deformation conditions.
Material Properties Modeling One method for investigating of metal properties is the hybrid modelling technique which provides a good computational tool via combining different modelling approaches in one dynamic model [4].
One of the important factors that affect the final properties of the metals is the level of impurities.
The developed model can be used by both the research community and industry as it provides the internal states as well as the final metals properties.

Results and discussions Mechanical Properties.
The mechanical properties after continuous annealing process were showed in Table 2.
Table2 Mechanical properties of the experimental steels No.
The mechanical properties of TWIP steels depend on stacking fault energy and study of stacking fault energy is for a long time, factors of impacting stacking fault energy include alloying elements, composition segregation, temperature, magnetism and so on[3,4].
The tested steels possessed excellent mechanical properties for the presence of twins.

The paper is devoted to the practical implementation of the new torsion testing method for studying rheological properties of materials in a hot state.
Introduction One of the most important factors determining the flow of a material in the deformation zone is the flow stress (in Russian sources it is common to use the term strain resistance [1]).
Thus, the improvement of methods for determining the flow stress in order to improve the accuracy of describing the rheological properties of materials is an important and actual task [9-13].
The changes in flow stress during torsion testing Eq. 1 is true when the strain rate changes exponentially: , (6) while the change of strain on a surface of sample gauge satisfy the equation: , (7) where c is arbitrary coefficient affecting the duration of a test [16-17].
Illarionov [et al.], Effect of the strain rate on the properties of electrical copper, Russian Metallurgy (Metally). 3 (2011) 194-201

Preliminary Study on the Comparable Flow Pattern Between Stented and Non-Stented Aneurysm at Hypertension Condition Ishkrizat Taib1, a, Kahar Osman2, b, Hendra Hermawan3, Mohammed Rafiq Abd Kadir4 1Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia 2Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, UTM 81310 Skudai, Johor, Malaysia 3Faculty of Biomedical and Health Sciences, Universiti Teknologi Malaysia, UTM 81310 Skudai, Johor, Malaysia aiszat@uthm.edu.my, bkahar@fkm.utm.my Keywords: Bare metallic stent, abdominal aortic aneurysm, vortex formation, hemodynamic factors Abstract.
Parameter Assumptions and Blood Properties.
The failure of the bulge vessel has been influenced by the hemodynamic factors.
The translating and grows of the vortex at the non-stented aneurysm was alarming whereby the more flow activity at that region, will be affected the failure of the aneurismal region.
Modeling pulsatile flow in aortic aneurysms: Effect of non-Newtonian properties of blood, IOS Press, Biorheology 43 (2006) 661–679.

The properties of the biodiesel such as viscosity, acid value, sulfur content and heating value are varying with type of feedstock [2].
Catalyst concentration is one of the major factors that can affected on the transesterification process and cost of production.
All the biodiesel properties were found within the biodiesel standard limits.
[2] J.M.Marchetti, A summary of the available technologies for biodiesel production based on a comparison of different feedstock’s properties.
Rodriguez, Biodiesel from used frying oil, Variables affecting the yields and characteristics of the biodiesel.