Search results

LCCO2 allows us to compare the impacts of different building designs to the environment and find out the most efficient CO2 reduction strategy.
In this research, we used life cycle assessment（LCA） method to estimate the CO2 reduction of lower floored residential housing.
To resolve these problems, we modify and simplify the analysis steps and data to a streamlined life cycle.
Life span is an important data for building life cycle assessment.
Currently, there is no complete CO2 emission data for buildings in the renovation stage.

Introduction High-strength steels [1 – 3] are often used in modern industry for reduction of metal intensity of the critical structures.
Three specimens were manufactured and tested for determination of each of the values, after what received data were averaged.
These data were used for plotting a diagram given in Fig. 2.
However, ductility indices (δ5, ψ) are obviously reduced in this case (1.7 time reduction).
However, it is 1.6 reduction of ψ index and KCV–40 in HAZ metal in comparison with Vw = 72 m/h.

The factors that affect the zone mentioned above include the can bottom thickness and the reduction in the area [1].
The deformation ratios of material in literature [1,2,7] was defined as relative: strain of can bottom thickness εh, reduction in area εA and homogeneous equivalent strain ε.
He analyzed the experimental change of the force for copper cans at the reduction in area εA=0,360-0,639.
On the basis of literature data [20] the stress-strain relationship was adopted for numerical modelling of cold backward extrusion of copper cans.
With the use Test&Motion software controlled by LaborTech electronic (external digital controller EDC), it was possible to present the experimental data in the form of graphs showing the values of forces as the function of displacement.

These sheets are cold rolled to 90% reduction in thickness and annealed at different temperatures.
The WSCT material was prepared by cold rolling the as received nickel block to 50% reduction in thickness followed by salt-bath annealing treatment at 550°C for one hour.
These two starting materials were cold rolled to 90% reduction in thickness at room temperature and subsequently annealed at temperatures ranging between 350° to 800°C in a salt-bath.
TSL-OIMTM software was used for the analysis of the EBSD data.
Figure 2 shows the orientation maps of the two materials after 90% thickness reduction by cold rolling.

The sheets were cold-rolled with a laboratory rolling-mill up to a final thickness reduction of 80% (corresponding true strain ε=1.61).
After 80% thickness reduction, the texture of T40 is characterized by a broad peak centered at {ϕ1=0°, Φ=40°, ϕ2=0} in the ODF (Fig. 1.c).
EBSD data obtained on a 30% coldrolled sample have been analyzed to determine which twinning systems took place.
This can be seen on Fig. 2.b where the raw map has been reconstructed, i.e. neighborhood orientations have been affected to not-indexed data points, in order to visualize misorientations between indexed pixels.
Some grains deform very few and can still be recognized after 80% thickness reduction.

Numerous studies have utilized remote sensing data to analyze land cover and land use (LULC) changes in Kulonprogo Regency, employing various analytical methods.
The geometric and radiometric corrections applied to this imagery ensure high data accuracy for analytical applications.
It is essential to include object-specific data that acts as distinct descriptors for every class when creating categorization rules.
The rule set was iteratively tested against sample data to assess its performance.
Land cover change is assessed by overlaying land cover data from 2016 and 2021.

In this work the correlations of the Nusselt number from various references is examined and compared with experimental data.
For this study various empirical relations are analyzed to determine the Nusselt number and compared with experimental data.
For study of growth frost will be analyzed empirical relations and compared with heat transfer coefficient data.
Figures 4 show the calculation of heat transfer coefficient using experimental data.
The numerical results using the correlations are compared with the experimental data.

This paper investigated Au-Pd/ZrO2 alloy catalyst prepared by solution reduction method using NaBH4 as reducing agent and L-lysine as protection agent.
In this study, supported Au-Pd alloy catalyst was synthesized by the reduction of two metal precursors on the support with a reducing agent in the presence of a protective agent to prevent aggregation, which is called solution reduction method.
Diffraction data were collected between 10.0 and 80.0 ° with a resolution of 0.02 ° (2θ) for high angles.
JCPDS data file 37-1484) are assigned to the diffraction for the baddeleyite ZrO2 phase.
TOF is a ratio of moles of converted benzyl alcohol per mole metal per hour (measured at t = 1 h) Conclusion In summary, highly dispersed Au-Pd/ZrO2 was synthesized by solution reduction method, followed by characterization of the catalyst.

Results and Discussion The reduction of COD in Fenton’s reaction solution can be seen in the Fig. 1.
The COD reduction of the reaction solution increases regularly in the beginning with the kinetic rate.
Essential data from the solution after the Fenton reaction is shown in a graphical representation of the linearized form of COD reduction versus time.
The regression of degradation kinetics data of FR by Fenton’s reaction was demonstrated, for the first-order kinetic (Eq. 2) [12] and for the second-order kinetic at two reaction steps (Eq. 3) [13]
Kinetic studies were carried out in two Fenton’s reagents stages, first rapid 30 minutes COD reduction values of the reaction solution and the second whole hour COD reduction values.

The software system can quickly complete the data acquisition and data analysis, reliable, accurate and complete.
It has the following functions: data collection and storage, real-time data display and query, fast and efficient data filtering and compression, test results showed and printed output.
Processing menu contains three elements: noise filtering, data compression, and data processing.
All data is stored into the data file in preparation for the next step of analysis and processing.
This requires voltage reduction for the acceleration value.