Search results

On the simulation platform, the heat transfer performance and dehydration properties of cooler are studied on different pressure conditions.
Therefore, with the establishment of the gas-cooler simulation model by the mechanism analysis, the heat transfer performance and dehydration properties of cooler are studied on different pressure conditions, which provides reference for unit control system and operation of oxy-fuel pulverized coal fired boiler.
When the inlet pressure is less than 0.9MPa, the inlet pressure of flue gas is the main factor affecting the relative humidity, so the overall of water separation is upward trend.
When the inlet pressure is less than 0.9MPa, the outlet temperature of flue gas is the main factor affecting the relative humidity, so the overall of water separation is downward trend.
Direct calculation of flue gas properties [J].Journal of Suzhou Institute of Silk Textile Technology, 1999, 19(3): 32-36.

Effects of Process Conditions on Properties of Nano-Magnetic Fluid Bing Chena, Yuguang Fanb School of Mechanical Engineering, Xi’an Shiyou University, Xi’an 710065, China abchen@xsyu.edu.cn, bygfan@xsyu.edu.cn Keywords: Nano-Magnetic Fluid; Coprecipitation; Orthogonal Design; Process Condition Abstract.
Table 1 shows the factors and levels in the orthogonal experiment.
Level factors of Q1, Q2, Q3 and Q4 stand for the total sedimentation rate of four levels.
Magnetic fluid magnetic curve Conclusion Influential factors on the properties of Fe3O4 magnetic fluid are system reaction temperature and adding speed of NaOH solution, according to analysis of orthogonal experiment.
Holding time and the pH value of coating sodium oleate are little effect on the magnetic fluid properties.

Air entraining agent was added in RFAM to improve its mechanical performance.
Both the mechanical performance and the durability of the corresponding recycled fine aggregate mortar(RFAM) or recycled fine aggregate concrete(RFAC) were negatively affected by the recycled fine aggregate[7-8].
"Influence of amount of recycled coarse aggregates and production process on properties of recycled aggregate concrete ", Cement and Concrete Research, Volume 37, Issue 5, May(2007), pp.735-742
"Strength, durability and micro-structural properties of concrete made with used-foundry sand (UFS)", Construction and Building Materials, Volume 25, Issue 4, April(2011), pp.1916-1925
"Determination of transmission factors of concretes with different water/cement ratio, curing condition, and dosage of cement and air entraining agent ", Annals of Nuclear Energy, Volume 38, Issue 7, July(2011) , pp.1505-1511.

This research attempts to test the mechanical properties of calcium oxide-phosphorous slag powder cementing material under autoclave curing condition.
Fig.1 X-ray diffraction (XRD) pattern and Scanning electron microscope (SEM) photograph of phosphorous slag powder Effect of adding calcium oxide on the mechanical properties of the phosphorous slag powder.
The results of the effect of adding calcium oxide on the mechanical properties of the phosphorous slag powder was given in Fig.2.
Under autoclave curing condition, the hydrant products formed by calcium oxide-phosphorous slag powder can directly affect the macro properties of physical mechanics of autoclaved products.
Under the autoclaved curing condition, water is not only the chemical composition and special catalytic agent of mixtures, but also a important physical factor.

Introduction Grain size is undoubtedly the most well established factor affecting impact toughness and the ductile-brittle transition temperatures (T27J, T28J, T50, FATT50%...).
Knowledge of the toughness properties and how they evolve in the ductile-brittle transition temperature region is essential for safe structural design.
Consideration of the influence of microstructural and mechanical factors on TT reveals the dynamic reference toughness (KId-ref., Eq. 1) and the area fraction of {100} planes close to the fracture plane to be significant parameters.
Uranga, Microstructural Features Controlling Mechanical Properties in Nb-Mo Microalloyed Steels.
Porter, Tempering of direct quenched low-alloy ultra-high-strength steel, Part II - Mechanical properties, in: Adv.

The determination of evaluation index system The main factors that could affect the performance of candidate leading product are selected as the evaluation index.
In the process of evaluation, the complicated factors of mutual restriction are hierarchical and disorganized, and the effect degree is distinguished according to the evaluation result.
The factors of qualitative evaluation are made quantitative processing, and then the evaluation system is formed.
The mechanical index contains the compressive strength and softening coefficient.
Research of test technology on energy-saving property of wall material [J].

Dynamic shear strength is an important mechanical property of loess.
The physical properties indicators of soil sample are shown in Table 1.
The shear strength is one of the main mechanical properties of soil, is the important component of soil mechanics.
This means that moisture content of loess is also one of the affecting factors of soil strength.
This indicated that plasticity index of loess is also one of the affecting factors of dynamic strength.

Finally, the problem of machine stiffness properties further study and future development trends are summed to improve tools, improve processing quality of products, and reduce production costs.
Introduction With the continuous development of science and technology, mechanical manufacturing industry is towards high speed, high precision and high efficiency, modern machine tools are towards high speed, high acceleration, high precision, high surface quality, high productivity and develop in the direction of large-scale, integrated, however machine tool rigidity is not only important factors to affect the machining accuracy of machine tools, but also are the important parameters of the quality of the evaluation of machine tools.
Machine tool dynamic stiffness is a measure of this machine, but the dynamic stiffness is difficult to determine, there are many factors causing.
Synthesis is based on the experimental test data, and combine test data with theory to establish the mechanical model of the structure.
Machine tool dynamic characteristics analysis of the concept of journal of mechanical engineering. 2010, 46 (21): 54-60 [3] Xingshan Li, Guang Cai.

However, there could be a large error range and low reliability because the equation regards the wear coefficient (k) as a constant and does not consider the mechanical properties of the material during the wear.
However, Archard equation does not reflect the effects of the mechanical property of the materials during the wear, but simply concerns the energy input.
Thus, in this study, the factors affecting the wear volume were separately investigated and a modified Archard equation was proposed, based on these results.
So, it is considered that the wear rate and the contact stress were not significantly affected by the increase of contact area.
The error range was relatively wide because the wear coefficient (k) in Archard equation was assumed to be a constant regardless of the change in mechanical properties during the wear.

The chemical and mechanical properties of the 316LVM stainless steel are: C 0.03%, Cr 17-19%, Ni 13-15%, Mo 2-3%, Mn 2%, Cu 0.1%, Si 1%, P 0.025%, S 0.01%, N 0.1%, yield Rp0.2 of 690 MPa, tensile Rm of 860 MPa, and elongation of 12%.
Taguchi method involves selection of control factors, response factor and an orthogonal array.
Since the considered factors are multi-level factors, it has been decided to use three level tests for each factor.
Feed is the most significant factor affecting the surface roughness with contribution of 28.60%, followed by the insert radius with contribution of 16.17%, depth of cut with contribution of 12.62% and cutting speed with contribution of 2.10%.
Interaction insert radius x cutting speed affects the surface roughness with contribution of 17.61%, interaction insert radius x depth of cut affects the surface roughness with contribution of 6.77%, and interaction insert radius x feed affects the surface roughness with contribution of 2.69% The predicted S/N ratio using the optimal levels of the control factors () can be calculated as: , . (2) where is: - mean S/N ratio for i-th factor at the optimal level, - total mean S/N ratio, p - number of factors that significantly affect the quality characteristic, - total number of trials, and - S/N ratio in i-th trial in the orthogonal array.