Search results

This work presents some new experimental data during osmotic dehydration of fruits.
In this kind of models, experimental data of both main fluxes, water leaving and osmotic solutes entering the material, are fitted to mathematical equations to obtain some mass transfer coefficients.
Other models have less fundamental meaning, such as the application of Weibull probabilistic models to osmotic dehydration data [20], or the use of response surface methodology, by fitting experimen-tal data to non-linear functions, mostly polynomials relating process conditions with water lost or solids gained by the material [21,22].
The water and osmotic solutes transport rates estimated from dehydration data represents an overall mass transport property in the material, which may include several possible mass transfer mechanisms.
Parameter k (h-1) R2 ARD (%) L* 0.38 0.18 1.68 a* 0.39 0.87 6.96 b* 0.43 0.79 2.91 DE* 0.44 0.64 24.95 h* 0.42 0.78 0.70 C* 0.412 0.84 2.94 Experimental data were fitted to Eq. (4) and the rate constant for each colour parameter was obtained.

For uniform design and subsequent analysis, the software Data Processing System (DPS Version 7.05) was used for generating experimental design, statistical analysis and regression model[18-19].
Data analysis of uniform design Uniform design and the method of pseudo-level are combined to complete the experiment in this paper.
A regression analysis (in Table 3) is carried out to fit mathematical models to experimental data aiming at an optimal region for the study.
It promotes heat transfer and moisture reduction of rapeseeds.

Lift coefficient CL versus Coanda-jet momentum coefficient Cμ; comparison between de la Montanya et al.’s and Harvell data [21] De la Montanya et al. [20] carried out research using the Coănda effect to shorten Landing and Take-off of airplanes, in the framework of NASA Ames research Center search for Extreme Short Take-off and Landing (ESTOL) vehicles to reduce the airplanes take-off and landing length.
In next the step, they collected lift and drag data in three dimensional flow.
Flow field inside the cavity without suction /blowing mass flow (adopted from De Gregorio and Fraioli [24]) Trapping vortices is a technology for vortex shedding prevention and drag reduction in flows past bluff bodies, as well as maintenance of lift for flows past streamlined bodies at high angles of attack.
The results are compared with existing experimental data for benchmarking.

0.054 0.054 0.054 0.054 0.054 0.054 0.054 L2 0.009 0.009 0.009 0.009 0.009 0.009 0.009 0.009 0.009 0.009 0.009 0.009 0.009 0.009 0.009 0.009 0.009 L3 0.012 0.012 0.012 0.012 0.012 0.012 0.012 0.012 0.012 0.012 0.012 0.012 0.012 0.012 0.012 0.012 0.012 L4 0.019 0.019 0.019 0.019 0.019 0.019 0.019 0.019 0.019 0.019 0.019 0.019 0.019 0.019 0.019 0.019 0.019 C1 0.041 0.041 0.041 0.041 0.041 0.041 0.041 0.041 0.041 0.041 0.041 0.041 0.041 0.041 0.041 0.041 0.041 C2 0.036 0.036 0.036 0.036 0.036 0.036 0.036 0.036 0.036 0.036 0.036 0.036 0.036 0.036 0.036 0.036 0.036 C3 0.051 0.051 0.051 0.051 0.051 0.051 0.051 0.051 0.051 0.051 0.051 0.051 0.051 0.051 0.051 0.051 0.051 T1 0.090 0.090 0.090 0.090 0.090 0.090 0.090 0.090 0.090 0.090 0.090 0.090 0.090 0.090 0.090 0.090 0.090 T2 0.036 0.036 0.036 0.036 0.036 0.036 0.036 0.036 0.036 0.036 0.036 0.036 0.036 0.036 0.036 0.036 0.036 T3 0.013 0.013 0.013 0.013 0.013 0.013 0.013 0.013 0.013 0.013 0.013 0.013 0.013 0.013 0.013 0.013 0.013 Seen from the data
As to enhance hang ammunitions capacity by improve the speed and increased the space of the aviation ammunition transporter device, it will inevitably take up the deck area of other aviation operations support systems, which may require a corresponding reduction in flight deck operating area used by carrier aircraft transporting system mooring facilities and other systems.
Calculate data are shown in Table 5.
Data of carrier aviation support system sensitivity analysis 　 basic scheme solution A solution B 　 basic scheme solution A solution B oil electrical supply 1.18 1.13 1.18 landing guidance 0.32 0.32 0.32 hang ammunitions 1.32 1.52 1.32 landing area space 0.294 0.288 0.291 aircraft mainte- nance 0.48 0.48 0.47 planning 0.5 0.5 0.5 aircraft mooring 0.75 0.73 0.75 command 0.41 0.41 0.4 aircraft lift 0.29 0.29 0.29 moni- toring 0.78 0.78 0.77 aircraft towing 0.49 0.49 0.49 take off 2.46 2.46 2.46 transport ammu- nition 0.44 0.51 0.44 brake 0.33 0.33 0.33 arresting cables blocking 0.98 0.98 0.98 bias board 0.08 0.08 0.08 arresting net blocking 0.08 0.08 0.09 integrated effective 11.19 11.36 11.2 　 　 　 　 influ- ence 　 1.50% 0.10% Fig. 4.

The imperfection of billets results in a reduction of mechanical properties and the surficial quality of the rolled product [20].
The authors altered one parameter for experimental analysis to keep the other two parameters constant and recorded data for characterization.
The best combination of the parameters defines through recorded data. 3.1.
Author Contributions: Conceptualization, M.K..; methodology, M.K.; validation, M.K., and S.I.; formal analysis, S.I., M.K, S.M. and A.Q.; investigation, M.K., S.I., S.M., and A.Q; resources, M.K.; data curation, M.K.; writing-original draft preparation, M.K.; writing, review and editing, S.I., S.M., and A.Q; visualization, M.K., and S.I.; authors have read and agreed to the published version of the manuscript.

Figures 2(b) and (c) present additional details of the geometrical configuration, whereas the parametric data are indicated in Table 2.
The total number of elements varies according to the geometrical data; nevertheless a typical mesh encompasses around 900,000 elements.
Geometrical data: channel and fins(*).
Moreover, the differences are greatly increased for b ® 0° and rf ® 1 owing to the reduction of the flow area, as discussed in previous paragraphs.

However, with 355 µm bamboo hybrid composites for the 4% bamboo fiber, the lowest tensile strength was measured at 71.9 MPa, indicating a reduction in tensile strength of almost 64.7%.
Tensile strength and modulus data for the 355 µm and 500 µm bamboo composite.
Flexural strength and modulus data for the 355 µm and 500 µm bamboo composite.
Charpy strength data for the 355 µm and 500 µm bamboo composite.

The concept of CCS is based on the reduction of atmospheric CO2 emissions and contains steps of separation, capture, transport and storage of CO2 [2].
The data inherent to each segment of the pipeline are listed in Table 1.
Pipeline segments and topographic data.
These data are described in Table 3, together with the contribution of CO2 in each stream.

Furthermore, the encapsulation efficiency (Een) was calculated based on the thermal analysis data using the following equation[16]: Een(%)=∆Hm, PCM∆Hm, P×100%
A KSE02A0R digital thermometer connected to a data acquisition system monitored the temperature of the microcapsules throughout the experiment. 3.
This reduction is attributed to the increased mass fraction of the shell material in the composite structure.
Thermal performance data of different samples.

Practical tests have shown that the removal of 20% of proppants leads to a number of consequences: an increase in well flushing, an increase in the cost of repair operations, premature wear and failure of electric centrifugal submersible pumps, a reduction in oil production due to a decrease in fracture thickness or overlapping of the productive zone of the well [14].
Based on the data in Table 4, it can be said that the drill cuttings of the Morozovskoye field by the value of the effective specific activity of radionuclides equal to (89 ± 14) Bq/kg belongs to the 1st class of materials and can be used for further research and, in particular, for the synthesis of proppants.
Interpretation of the data was carried out using the ICDD (The International Center for Diffraction Data) database.