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Data used for validation were obtained from Dalkilic and Wongwises [15].
A comparison of the performance data of Dalkilic and Wongwises [15] with the current model (see Table 2) shows that all-important quantities (Pressure ratio, COP, and power per TR) can be correctly predicted by the function-based model and the maximum error was found to be 0.97 %.
Table 2.Comparison of performance data from Dalkilic and Wongwises [15] and the current model Refrigerant Pressure Ratio* Pressure Ratiomod error COP* COPmod error Power per TR * Power per TRmod error (Pcd/Pev)* (Pcd/Pev) % % [kW/TR] [kW/TR] % R12 5.562 5.566 0.07 3.233 3.215 0.56 1.083 1.093 0.92 R22 5.476 5.476 0 3.18 3.179 0.03 1.101 1.106 0.45 R134a 6.57 6.569 0.01 3.097 3.081 0.51 1.13 1.141 0.97 *From the performance data of Dalkilic and Wongwises[15] 5.
The pivotal process data is presented in Table 3, offering insights into the performance of IMS-VCRS.
Additionally, there is a significant 19.14% reduction in irreversibility for IMS-VCRS.

Tensile strength tests were also conducted to obtain data necessary for exploring the relationship between the thermodynamic aspects of the fiber-matrix interfacial interaction and the mechanical properties of the composites.
The SEM images show that there are no noticeable reduction in the size of the treated fibers as expected.
However the FE-SEM images show that there are no noticeable reduction in the size of the treated fibers which has been published at previous paper [13].
The amorphous regions had more severe degradation where at 662 cm-1 the %transmittance was decreasing by 37% while at 1423 cm-1 the %transmittance reduction was 30%.

New data on superplastic behaviour of commercial alloys, on diffusion bonding of similar and dissimilar materials, and superplastic forming of titanium alloys are presented.
Introduction Although at present the superplastic shaping is a mature technology, still there is a critical task of reduction of its cost and enhancing its efficiency.
According to the well-known kinetic equation of superplastic deformation (SPD) and vast experimental data, characteristics of SPD are significantly improved with decreasing the grain size.
Warm rolling was performed at a temperature of about T=600°C and the strain rates 10-2-10-1 s-1, with a 10-15% reduction and intermediate reheating of the billet at each pass.
A reduction of the grain size increases the total length of grain boundaries in the material that leads to an increase in the contribution of the grain boundary sliding to total deformation.

Considering the limited data from the video and the low accuracy measurement, applying the general theory of second-rate and wave density method is not effective.
Vehicle data comes from 2013 China Undergraduate Mathematical Contest in Modeling Question A.
Those above data of the indicators are used as a learning sample.
Due to relatively discrete data, the coefficient of road traffic cannot be got at every moment.
Analysis of Model Using actual data as samples for training can greatly improve the accuracy of mapping, so that the model has its promotional value.

The collected secondary data was: truck type and parking space.
Source: Primary data analysis (2015) Fig 3.
To avoid incorrect data, the data truck parking duration will be reduced by the longest travel time to pass through the Ring Road.
Source: Primary data analysis (2015) Fig 4.
This data is collected from parking time duration varying (Table 3).

The emission and consumption data were recorded in the same way.
All data is converted with the functional unit.
Fig. 1 System boundary diagram CO2 Data Collection.
All data of the raw material consumption, the energy consumption and the air pollutant emissions were converted to the environmental load data of functional unit, which were showed in Table 2.
And those valid data was unable to be obtained and were not taken into account.

By regressing the pullout test data, simple empirical models were proposed to predict the percentage reduction in bond strength accounted for effects of high temperature.
Table 1 Residual bond strength ratios between concrete and steel bars for different temperatures Temperaturet /℃ 50 100 200 300 400 500 600 700 Plain steel bar 0.96 0. 73 0. 61 0. 46 0. 11 0. 06 - - Deformed steel bar 1.00 0. 98 0. 96 0. 91 0. 63 0. 42 0. 31 0. 13 Note: the symbol“- ”represents that there is no data.
The following data were obtained in situ.
The life time t of this beam was estimated based on the above data
By regressing the pullout test data, simple empirical models are proposed to predict the residual bond strength in the post-fire RC members with plain steel bar or deformed steel bar. 2.

This effect is primarily attributed to increased pozzolanic reactivity, resulting in a reduction in calcium hydroxide concentration within the cement matrix.
Consequently, the concrete experiences a loss of its binder materials, leading to a significant mass reduction.
The mass loss data for the CFA system can be seen in Fig. 3(a), which shows that concrete that has some CFA added to it loses less mass than OPC.
For instance, the 30BFA mixture stands out with the most incredible reduction in mass loss, recording an impressive value of -8.04%.
Escadeillas, Interactions between hydrated cement paste and organic acids:Thermodynamic data and speciation modeling, Cement and Concrete Research 69 (2015) 25–36, http://dx.doi.org/10.1016/j.cemconres.2014.12.001

For slow strain rate tensile (SSRT) test in hydrogen gas, the degradation in relative reduction in area (RRA) of 300-series austenitic stainless steels is mainly attributed to hydrogen-assisted surface crack growth (HASCG) accompanied by quasi-cleavages.
Introduction There exist several criteria based on reduction in area (RA) and relative RA (RRA) for authorizing metals for use in high-pressure hydrogen gas [1–5]; however, the physical meaning of the criteria is not clear.
The relative FCG rate was increased with a reduction in f.
The JIC test was also regarded as the 1-cycle FCG test at R = 0, plotted as the da/dN-ΔK data (○ and ●).
In hydrogen gas, the da/dN-ΔK data obtained from the JIC test existed on the same line as the upper da/dN-ΔK curve in the FCG test, different from the da/dN-ΔK data in air.

These discontinuities contribute to drastic reduction of mechanical properties.
In these last, there is a chance for another approach to the material data and to factor of safety, to allow for the occurring structure discontinuities.
The ASTM Standard E399 describes the specimen geometry, experimental methodology, data acquisition and test techniques to determine KIc values.
By applying LEFM concepts to a-N data we can obtain crack growth rate, da/dN, versus the applied stress intensity factor range, ΔK.
The value is usually from 1.5 to 2 but constructors usually overestimate its value what influences the reduction of the allowable stresses and an increase of castings weight.