Search results

Reaction rate is mainly affected by reaction temperature, material uniformity, mold channel scale etc, the influence of such factors affected the quality of the moldings and material properties[2].
Besides above, there are also many influence factors of vacuum casting parts, such as operating time, curing time, ratio of resin, curing temperature, etc, arranged in the descending order of importance
(4) Ratio of resin Different ratio of resin will change the mechanical properties of the parts, when the ratio is not correct, mechanical properties will be changed such as bending strength and bending modulus of elasticity, etc
Table 1 and Table 2 showed the physical properties and mechanical properties under 23℃ of UP 4280 respectively.
Blue line in picture fig.5b shows weld mark, the weld mark can have influence on the mechanical properties and appearance of the product, but materials of vacuum casting have a longer solidification time, the influence of weld mark for the material physical property is week, it can only as a reference.

One of the main factors affecting the product quality is the strand deformation caused by the temperature distribution, ferrostatic head of the liquid core and mechanical stress imposed by the rolls.
Model Description In continuous casting, the material property parameters vary with the temperature profile and the geometric configuration of the steel shell is determined by the heat transfer.
Considering the heat transfer of the strand being not strongly affected by the stress and displacement distribution, it is reasonable to assume the mechanical analysis is dependent on the temperature distribution but there is no inverse dependency for the simplicity of the solution, which means a sequentially coupled thermal-mechanical analysis can be conducted in continuous casting.
In the mechanical analysis, the computation region is the same as thermal analysis.
The model and solution algorithm are validated by the comparisons with the measured data, which shows that the process and caster pamameters such as the roll space, are the decisive factors to affect the bulging deformation.

In order to successfully use the technique as a monitoring tool for an appropriate production of aluminum casting, all affecting process conditions must be taking into accounts when cooling curves are used as indicators.
Also, there are many factors that influence the characteristics of cooling curves when grain refinement becomes more prominent.
Introduction Aluminum-silicon alloy is one of the most important aluminum based foundry alloys because of its excellent castability, good mechanical and physical properties [1-2].
In case of aluminum casting alloys, the control of grain size has been also used to improve the feeding capability of the melt and to improve the mechanical properties [3].
To summarize, the above 3 main factors can be applied in monitoring and eventually in controlling melt quality in production of aluminum casting.

The nature of the external factors as well as (to a considerable degree) of the internal processes that took place in construction materials upon influence of the external factors causes hardly predictable results of their influence.
Both mentioned factors cause various effects, unaccounted loads and early damage and breakdown of the equipment.
The cracks appeared in the points of changes of mechanical properties and microstructure of grey cast iron and then spread because of concentration of stresses on exploitation (Fig. 2 a, b).
The mechanical and physical properties of white cast iron and transitional cast iron differ from the properties of grey cast iron.
The mechanical and physical properties of white cast iron and transitional cast iron differ considerably from the properties of grey cast iron.

From the point of operation, the factors of affecting condensation heat transfer mainly are non-condensing gas (air).It has a very negative impact to the condensation heat transfer, even if the content is minimal.
Affect Factors of Convective Heat Transfer.
The factors of affecting heat transfer efficient α3 include two factors.
One factor is affecting flowing, which is connected with flow rate, feature size and physical properties.
We take measure to receive better economic returns through the analysis of affecting heat transfer factors.

A mechanical model of the visco-elastic compressible material is established in order to investigate the viscous effect in quasi-static growing crack-tip field.
The results indicate that the near-tip fields are mainly governed by the creep exponent ; the stress fields of mode I and mode II is slightly affected by the elastic compressible deformation; the strain and displacement fields of mode I are deeply affected by the elastic compressible deformation.
However, the strain and displacement fields of mode II are less affected by the elastic compressible deformation.
Introduction Under high temperature, many metals show viscoelastic properties, which are closely related to environmental factors and strain rate.
So visco-elasticity has drawn much attention in the mechanical and engineering fields.

Assessment of factors influencing tool wear on the machining of Nimonic C-263 alloy with PVD coated carbide inserts C.Ezilarasan1a, V.S.Senthil kumar2b, A.Velayudham3c, K.Palanikumar4d 1.
Research Scholar, Department of Mechanical Engineering, Anna University, Chennai-25, India 2* Associate Professor, Department of Mechanical Engineering, Anna University, Chennai-25, India, 3Combat Vehicles Research and Development Establishment, Chennai-54, Avadi, India, 4Sri Sairam Institute of Technology, Chennai-119, India Email : aezhilshriram.c@gmail.com, bvsskumar@annauniv.edu Keywords: Nimonic; C-263;Turning; ANOVA; Modeling; RSM; SEM; Flank wear; Abstract: Nimonic C-263 alloy is extensively used in the field of like aerospace, power generators and heat exchangers due to its higher thermal properties.
From the above literatures, the importance of cutting conditions and tool material is clear as these induce the tool wear there by affecting the surface integrity of the material.
Determination of the optimum factor level The calculated S/N ratio of the three factors on the flank wear in machining the C-263 alloy for each level is shown in Table 4.
The optimum factor level was determined based on the S/N and ANOVA analysis.

When it comes to stochastic simulations, the respective parameters have to be recalculated according to the scattering of the mechanical material properties like yield or tensile strength.
Monitored material properties affecting strain hardening of metals are listed in delivery specifications and include tensile strength Rp02, yield strength Rm, fracture strain A80 and work hardening exponent n.
Classic methods One strategy is the direct specification of yield curves in dependency to the mechanical material properties yield strength Rm, tensile strength Rp02 and hardening exponent n.
For each material 150 Latin Hypercube samples have been used to represent the real distribution of mechanical material properties identified by quality control.
Summary In this paper, different approaches of incorporating stochastic influence of mechanical material properties scattering into existing virtual models have been discussed.

In addition to the modulus of the sabot material, the forward diameter of the sabot and obturator material properties affect the projectile performance [15] and those may affect the stress of the penetrator rod.
Material properties used in analysis are described in Table 1.
As mechanical properties of the sabot are assumed to affect the stress of the penetrator rod, the analysis was performed with variation of modulus of the sabot.
However, as the obturator material properties had little effect on the ballistic performance, the property listed in Table 1 was used.
As studies combined those factors are very few, this study performed to identify combined effects of those factors on the stress of the rod.

Mechanical properties The investigated mechanical properties of the concrete included cubic compressive strength, prism compressive strength, splitting tensile strength, bending strength and the static compressive elastic modulus at the age of 28 days.
Mechanical properties The cubic compressive strength as a function of age of OAC, LRAC and HRAC is shown in Fig.3.
In order to make clearer the effect of different variability of aggregate on mechanical properties of concrete, the comparison of mechanical properties of the three concretes is presented in Fig.4 as a reference of OAC, that is, the relative value of given mechanical index of OAC is regarded as the baseline 1.00.
Therefore, using recycled aggregate is unfavorable to the mechanical properties and durability of concrete.
Depending on all above experiments and analysis, it can be concluded that the properties of recycled aggregate is an essential factor to influence the properties of recycled concrete and always unfavorable to the properties of recycled concrete as unexpected.