Search results

To validate the developed model, real data is collected and the model is run using Lingo software.
In the third section, the simulation of the proposed model using real data from the company is presented.
· Input variable: Input data that consists of marketing plan and procurement data (price of material in the market).
These data usually changes over time.
And in data set 2, not all CR’s sales plan can be met to get the maximum profit.

Here we emphasize that data flow should be integrated as following section - Methodology.
A reduction in Severity Ranking index can be effected only through a design change.
Contact A Contact B N/O Contact Parameter changed Conducted failure 1.92 F Forming failure 1.2 3D Geometry Drawing & Checking 0.024 0.055 Robust schemed design rule→Design Guide RD Engineer 11/18/’09 Design Guide 1.92 0.027 0.024 0.001 Conducted unstably 1.92 F Forming failure 1.44 3D Geometry Drawing & Checking 0.024 0.066 Robust schemed design rule→Design Guide RD Engineer 11/18/’09 Design Guide 1.92 0.36 0.024 0.017 Outline Deformation Conducted unstably 1.92 F Forming failure 1.44 Trial run 0.024 0.066 PFMEA ME / QC Engineer 11/18/’09 SOP SIP 1.92 0.36 0.024 0.017 Arcing stick 1.92 F Forming failure 1.2 Trial run 0.024 0.055 PFMEA ME / QC Engineer 11/18/’09 SOP SIP 1.92 0.27 0.024 0.012 Ingredient degraded Conducted unstably 1.92 F Material defect 0.36 XRF data 0.346 0.239 Approval process RD Engineer 11/18/’09 ICP data 1.92 0.18 0.346 0.120 Contact wear out 1.92 F Material defect 1.2 XRF data 0.346 0.797 Approval process RD Engineer 11/18/’09 ICP data 1.92 0.27
Armature Parameter changed Conducted failure 1.92 F Material defect 1.2 Measuring 0.024 0.055 Approval process RD Engineer 11/18/’09 Cpk data 1.92 0.27 0.024 0.012 Conducted unstably 1.92 F Material defect 1.44 Measuring 0.024 0.066 Approval process RD Engineer 11/18/’09 Cpk data 1.92 0.36 0.024 0.017 Outline deformation Conducted failure 1.92 F Material defect 1.2 Measuring 0.024 0.055 PFMEA ME / QC Engineer 11/18/’09 SOP SIP 1.92 0.27 0.024 0.012 Conducted unstably 1.92 F Material defect 1.44 Measuring 0.024 0.066 PFMEA ME / QC Engineer 11/18/’09 SOP SIP 1.92 0.36 0.024 0.017 9.
Most of FMEA will be generated during design stage is limited to specific stage without on-going and on-site data collection, despite to be concerned by usefully feedback way - 8D Report practically.

Experimental data show that for the complexes of cell-THPC-thiourea-ADP with Ca2+, the activation energies and thermal decomposition temperatures are higher than those of cell-THPC-thiourea-ADP, which shows these metal ions can increase the thermal stability of cell-THPC-thiourea-ADP.
Heat release is distributed between two broad peaks covering a wide area, resulting in a major reduction in rate of heat release and flammable products which fuel the flaming combustion reaction.
Table 2 Thermal degradation and analytical data of samples 1-3 No.

Equation 2 was independently fit to tensile stress-strain data from each test.
These descriptions of the stress-strain data were used to create the strain-dependent (SDTD) model [15], and are used here to create a time-dependent tensile data (TDTD) material model.
These curves agree well with the experimental data.
The simulation results agree well with the tensile experimental data.
No tensile data are available for ε < 10-4 s-1.

The experimental and theoretical data processing in through-diffusion methods have been described previously [16].
The measured (round) data at low concentration boundary are in agreement with the predicted (line) data from the through diffusion experiment, whereas the measured data (square) are systematically higher than predicted data at high concentration boundary.
The measured data is not agreement with predicted one.
GMZ bentonite experiments data were solid symbol (I[20], Tc[4, 22] Se[this work] and Re[15])and Kunigel-F bentonite experiments data were hollow symbol (Se[13], I[12] and Tc[12]).
Out-diffusion results of Re(VII) and Se(IV) showed a discrepancy between measured data and predicted data due to the heterogeneous porosity distribution in clay boundaries and species changed when the diffusion occurred in GMZ bentonite.

Oxygen radicals occlusion / release behavior of nanoporous aluminosilicate, Ca12Al14-XSiXO33+0.5X (0≦X≦4), synthesized under different condition was examined by the temperature programmed reduction (TPR) in an atmosphere of hydrogen in the temperature range of 200-1000˚C and temperature programmed oxidation (TPO) measurement at 800˚C.
X-ray powder diffraction data of samples were obtained using a Rigaku, RINT2000 diffractometer with Ni-filtered Cu Kα radiation (50 kV, 100 mA).
A comparison of data reveals that the amount of oxygen released in the α, and γ for all the sample are more or less same, around 3μg-O2/mg, and about 1μg-O2/mg, respectively.

The lattice structure design for rocket tail heat dissipation and the sandwich structure for spacecraft weight reduction are two typical engineering application cases of lattice structure bionic design [8-10].
Then the model data was exported as a compatible stl data file to 3D printer.
On the other hand, compared with fully solid cylinder with the same size, the mass of Gyroid TPMS has about 76% weight reduction.
The Gyroid TPMS has also 76% weight reduction compared with the solid model
Data Availability Statement: The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.

The shear cutting process commonly used in production causes high strains on the zone affected by shear cutting. [2] This deformation at the edge of the component causes work hardening, which also leads to a significant reduction in residual formability.
Therefore, it is not possible to collect reliable data about edge crack sensitivity.
In order to collect edge crack sensitivity data relating to a material or specimen, a new edge crack testing method needs to be developed and should fulfill the following criteria: · Frictionless testing method · No strain gradient · Uniaxial tensile load on cross section · Possibility to differentiate between the failure modes of ductile fracture and mechanical failure due to edge cracks · Scatter-resistant evaluation method with high repeat accuracy · Cost-efficient and simple production of specimens combined with a reliable preparation for the specimen’s edges Edge-fracture testing methods Figure 1.
In the next step, the Aramis measurement data are evaluated and parameters like major and minor strain or sheet metal thinning can be visualized as a function of the image rate.
In addition to this, the experiments show a strong correlation between the mechanical separation process (milling or shear cutting) and the reduction of the remaining forming potential.

This system includes following parts: 2 digital artificial heads HMSIII, data acquisition system SQlab III with 36-channels, binaural signal sampling software HEAD Recorder, and analysis software Artemis9.
Singh: Optimization study for sunroof buffeting reduction, SAE 2006-01-0138 (2006)
Qian: Vehicle wind buffeting noise reduction via window openings optimization, SAE 2008-01-0678 (2008).

Overall, resource utilization in the construction waste in our country is lower than developed countries, take Beijing as an example, according to the estimation of relevant departments, counting in excavation and backfill, recycling of high value-added waste (such as steel, wire, cable, etc.) by special staff, the recycling rate should not exceed 40%, according to the data, by comparison with developed countries [3], our efforts are far from enough, there is still a lot to do.
To develop construction waste recycling industry, first of all, functional departments of governments should encourage and fund research and development of construction waste materials by financial aid and policies; Second, each region should build construction waste recycling plant, the number and production size should be able to meet the region's processing capacity of construction waste; addition, the Government should also develop a "supportive" preferential policies, such as tariff reductions and financial subsidies.
Research should focus on methods of construction waste reduction, recycling-using methods of construction waste, market measures of recycled building materials, analysis methods of recycled materials and environmentally compatibility, technical standards and norms of recycled products, economic assessment of recycled techniques and so on