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Mixed factor model regard indoor contaminant diffusion as variable, make up the limitation of constant indoor contaminants.
For the different source and several properties of indoor contaminants, and different indoor temperature, humidity, heat, and ventilation, if we analysis indoor and outdoor contaminants relationship, we should further choose proper mathematical model in some cases.
Mixed factor m.In the ideal case, the contaminant concentration of the whole room is consistent, at this time m=1, this assumption can’t be used in most cases, indoor and outdoor air mix is affected by numerous factors, such as air current, indoor temperature, contamination, room volume and so on.
Natural ventilation volume with windows closed: to those rooms of no air conditions, with the effect of pressure differential between indoor and outdoor, there is little natural permeable ventilation through door aperture and wall aperture, it is affected by several factors, such as tightness of windows, outdoor air rate, air direction and so on.
There are numerous factors that affect filters efficiency, such as particle diameter, fibre diameter inside filters, packing ratio, filters medium thickness, and filtration speed and so on.

These written-in errors stem from the statistical fluctuations of magnetic properties of the islands and the randomness of islands structure.
The BER is caused by two factors - timing error of the write pole position and the error caused by the insufficient write field margin during the writing process.
Chen et al., “Structure, magnetic and thermal properties of FePt-C-BN granular films for heat assisted magnetic recording,” J Phys D Appl Phys, vol. 53, no. 13, 2020, doi: 10.1088/1361-6463/ab680d
Honda, “Mechanical demagnetization at head disk interface of perpendicular recording,” IEEE Trans Magn, vol. 45, no. 2, pp. 893–898, 2009, doi: 10.1109/TMAG.2008.2010670
Das et al., “Thickness Dependent Surface Topography, Magnetic Properties and Magnetic Domain Structure of Amorphous FeTaC Thin Films,” Journal of Material Science & Engineering, vol. 07, no. 03, 2018, doi: 10.4172/2169-0022.1000455

Introduction High strength and good mechanical properties are two main characteristics of gear steel[1].
The mechanical properties can be improved by adding sulfur in gear steel.
This type of inclusion is beneficial to the properties of steel[3].
But improper calcium treatment will affect the casting properties of steel.
But for the smelting conditions and other factors, a small amount of long strip inclusions can be found in some rolled steels.

The microstructural changes occurring in the microstructure of molten zone (MZ) and heat affected zone (HAZ) have been investigated by optical and scanning electron microscopy (SEM) observations and energy dispersion spectroscopy (EDS).
Since these mechanical components are extremely expensive, their repairing by welding is more advantageous than replacement, however it is not an easy task.
This depend on two factors: first the portion of the material not melted induce condition high local self-constraints; second the amount of fused zone is larger than other cases.
In conclusion laser promise to realize joints of good quality, a more accurate control of cooling conditions during welding, different wobbling parameters and pulsed as indicate in literature [13] and suitable post-welding heat treatments are under investigation to reduce porosity and recover as far as possible the original characteristics and properties of the alloy.
Sammy in “Nickel-Based Superalloys for Advanced Turbine Engines: Chemistry, Microstructure, and Properties”, University of Michigan, Ann Arbor, Michigan 48109, University of Cambridge, Cambridge, England CB2 3QZ, United Kingdom, 2006

The Factors of Influencing Temperature Field During Cooling and the Method for Determining: The CoolingTime.
When establishing the mathematical model of temperature field in the process of cooling, simplifying should be done as follows: Ignores the gap thermal resistance between cavity with plastic melt, and takes heat-conducting properties of the mould materials as isotropic.
Therefore, when studying warping deformation mechanism of plastic products, must comprehensively consider whole forming process and the factors of structure and material properties of plastic The Simulation of Molecular Orientation.
The purpose of molecular orientation simulations is to simulate experienced physical process of the melt when it is shaping, determine the microstructure of the plastic part, To predict the physical properties of the plastic part and molding quality.
It can provide scientific basis for design of plastic parts, mold design, process formulation of injection molding and control to injection molding process by research on material properties of plastic and simulation and analysis to the injection process.

The influence of the volume fraction and grain size of TiC nanocrystallites on the coating properties has been examined.
Table 1 summarizes the deposition parameters, chemical composition and mechanical properties of TiC/a-C:H nanocomposite coatings.
Checking against the mechanical properties (Table 1), it is clear that the wear rate (WR) of the nanocomposite coatings significantly decreases with increasing the elasticity index (H/E ratio) and fracture toughness, but not with hardness.
Although for a long time hardness has been regarded as a primary material property affecting wear resistance, the H/E ratio that we termed the elasticity index is a more suitable parameter for predicting wear resistance, as originally proposed by Leyland and Matthews [10, 11].
De Hosson: Influence of deposition parameters on the structure and mechanical properties of nanocomposite coatings, Surf.

Main effects and interaction effects of these factors were analyzed using statistical techniques.
A factorial design of experiments was applied to find out the influence of biomass properties, such as net calorific value and C/N ratio, on the total biogas produced after 65 days of anaerobic digestion (Q).
The effect of selected factors was studied by means of a 22 full factorial design (two factors each at two levels).
The effect of those factors on the response was performed by analysis of variance (ANOVA).
This indicates that the two factors do not work independently, the effect of each factor being affected by the level of other factor.

These coatings have remarkable protective properties when they are exposed to high temperature oxidation (~900°C) due to the initial microstructure and composition [1,2].
In this point result important to explain that expallation phenomena is the loss of the top coat as a result of localized cracking, which is generated by different factors some of them will be presented and discussed in the next champers.
Some researchers suggest that the formation of martensite upon cooling results from the large Al depletion during the rapid interdiffusion in hotter sections, and it has been demonstrated that the transformation affects the mechanical behavior of the coating by producing a linear transformation strain, which appears to enhance the intermediate temperature strength.
Sayre, Factors affecting the microstructure of platinum-modified aluminide coatings during a vapor phase aluminizing process, Surf.
Moskal, Thermal barrier coatings: characteristics of microstructure and properties, generation and directions of development of bond, Journal of Achievements in Materials and Manufacturing Engineering 37 (2009) 323-331

Vehicle mechanical properties and speeds are randomly sampled within a Monte Carlo simulation.
The structure's properties are listed in Table 1.
Table 2 lists the range of vehicle properties used in the simulation that can be found in the literature [6], and were sampled using a uniform random distribution.
Fig. 6 shows the probability distributions for each of the vehicle's natural frequencies as a result of the random selection of the properties in Table 2.
The approach has been numerically checked for various road profiles, damage and vehicle properties.

Contrast to the sintering produce and sintering-cup experiment, the mini-sintering can analyze the single factor one by one due to avoiding the effects of mixture, pelleting, distribution, sintering and processing operational parameter, therefore, the mini-sintering is more adapting to study the sintering mechanism.
The mechanical property of the sinter ore is determined by its inner structure in nature, for the complexity and non-linearity of inner structure in the sinter ore, its mechanical property indicates indeterminacy and irregularity, which lead to the fact that no quantification theory can describe the mechanical property of the sinter ore.
Calculational flow of fractal dimension of grain distribution The sinter ore is a kind of aggregation comprised many minerals, therefore, many factors can influence metallurgy quality of sinter material, including distribution of the grains and pores, and boundary characteristic of the grains and glasses, etc.
The fractal dimension of the samples decreases with the silica content increasing in the experiment , however, the compression strength of the samples has the highest value (as shown in Fig.3) when the silica content is 3.8 wt%, which is disaccordant with the result of sintering-cup experiment[4], therefore there are other factors which have affected the compression strength.