Search results

According to the data analysis of ground experiment, this control method can tremendously improve the buffer effect in the docking stage with the parameters optimized in Simulink.
At last, after a brief introduction to the ground-built docking test system, data analysis of contact force is presented based on practical experiments.
Fig.1: 6-UPS Space Docking Mechanism Each prismatic pair of the 6-UPS docking mechanism is driven by a brush DC motor via a reducer and a set of lead screw, which provides a large reduction ratio.

The method of calculation of the reinforced bases of pavement leaning on experimental data is offered.
For effect of reinforcing we will take percent of reduction of an elastic deflection of the reinforced design in comparison with unreinforced , (1) where w1 – the maximum deflection of unreinforced system, w2 – the maximum deflection of the reinforced system.
The offered method of calculation of the pavement reinforced design relies on theoretical and experimental data.

The data obtained has used to upgrade the 3D printer hotend.
Initial Data Analysis and Problem Statement The print head includes: thermal insulator, thermal barrier, heating element, thermistor, nozzle.
Furthermore, another advantage of the separate plastic feed to the print head through the PTFE tube is a weight reduction of the carriage with print head.

When insufficient data are available, probabilistic reliability method is invalid, but the non-probabilistic reliability method based on I-G (information-gap) model is a valid alternative.
But the sufficient statistic data are difficult even impossible to obtain in many practical applications.
“Information is the complement of uncertainty, so model updating entails the reduction of uncertainty”[7].

It improves part consolidation, weight reduction and enhanced surface finished [1].
These latter variables are determined by an iterative calculation using geometric relationships and a set of experimental data.
(8) where X represents the material parameters, N is the number of data points.
Experimental data In this study a set of four tubular materials are considered.
It can be seen that the thickness at the pole predicted by inverse approach is in good agreement with experimental data.

However, these fracture theories treat only macroscopic strength with probabilistic parameters determined from experimental data.
In this paper, the expanded model is described, and applicability is discussed by comparing experimental data.
Predicted results and experimental data [9] of biaxial strength under tension-tension condition are compared in Fig. 4.
We can see from this figure that the predicted biaxial strength shows a good agreement with experimental data.
We can see from this figure that the prediction has a good agreement with experimental data.

Additionally, commonly adopted damage assessment algorithms are generally complex and inappropriate where measured data are inappropriate [3].
As modal parameters (natural frequency, mode shape and modal damping) are indirectly-measured test data, they could be contaminated by measurement error as well as modal extraction error, and provide less information than FRF data [4].
The first stage is the data feed forward.
The measured modal data include the first 10 frequencies and vertical mode shape at the middle point of model.
A simplified finite element model was used to generate the data needed to train the networks.

Analysis of outage data from both OH and UG distribution system of Abuja network is carried out assess their reliability indices.
Based on discussion and data collected with Abuja power distribution company, 96% of outages are attributed to the overhead network and 4% to the underground network.
Fig. 3 Power network with underground sub-transmission and distribution system, respectively [5] Field Surveying and Failure Data Analysis.
The summary of the processed field data are given in Tables 1 [4].
The detailed outage data obtained for the period under investigation from January, 2002 to December, 2007 is shown in an appendix [4].

This research uses spatial data to create flood risk modelling for the Katingan Regency.
Administration Map of Katingan Regency Data Vector and raster data collected from credible sources are used in this research.
The table below shows details of the data used in this research.
It is a cloud-based platform, and everyone has free access to this platform, which makes it popular since Google Earth Engine not only provides free access to a wide range of raster data but is also capable of meticulously completing a wide range of raster data processing, from data acquisition to data post-processing.
ArcGIS software was used to create a map by overlaying all vector data.

The bigger the reduction zone, the higher the volume concentration of biomass gas component, or the less.
Gas Brandvardi Q(MJ/m3) 1 2 3 4 5 6 7 8 9 Simulation Results 11.15 11.94 11.77 11.41 11.53 11.24 10.12 10.63 10.54 Experimental Data 11.02 10.98 10.78 10.51 10.74 10.43 9.34 9.69 9.62 Relative Error(%) 9.18 8.74 9.18 8.56 7.36 7.77 8.35 9.70 9.56 From Table 4, In orthogonal experiment, the experimental results of the nine operating condition were less than its numerical simulation results, the relative errors between experimental data and numerical simulation data were under 10%, which were belong to the range of allowable errors.
Therefore, the experimental data is agree well with numerical simulation data basically, and experiment number 2 is the best parameters, which are h=180mm, V0=0.94m3/h and Vs=1.30m3/h.
Table 5 The comparison results of biomass fuel gas heating value Comparative Items Experimental Data Comparative Items Experimental Data Optimization Parameters Q(MJ/m3) 10.98 Optimization Parameters Q(MJ/m3) 10.98 Unoptimization Parameters Q(MJ/m3) 10.37 A Single Air Gasification Agent Q(MJ/m3) 5.11 (%) 5.88 (%) 114.87 The Table 5 shows that, in the experiment test, the biomass gas heating value of the optimization parameters is 5.88% higher than the unoptimization parameters, and the biomass gas heating value of the optimization parameters is 114.87% higher than when single gas agent is used.
(3) The experimental results of the nine operating condition are less than its numerical simulation results, the relative errors between experimental data and numerical simulation data are under 10%, which are belong to the range of allowable errors.