Search results

In the shrinkage measurement, the thickness have shown the reduction after sintering process.
Based on the data analysis that has been discussed, best sintering temperature and composition were on 1200˚C and 65wt%, respectively.

Fig. 1 and Fig. 2 show the change in the probability of developing and emergency defects in power transformers 6/0,4 kV data interval operation.
Probability of emergency defects in power transformers As it is shown in Fig. 1 and Fig. 2 the tendency to reduction the probability of defects in the second and third groups is result of routine or emergency repairs.

The step angle of stepper motor is 0.36° and the single-pulse step is 0.0000067° through 5400 reduction ratio.
“dsPIC30F6011A/6012A/6013A/6014A data sheet,” 2005

Methodology Experimental procedure and data acquisition.
The resulting shape measurement contains 69,000 data points which was reduced to 100 data points by means of a standardization procedure.
Lastly, we developed a 3D CNN model where all images as time-series data collected over the entire data recording period were taken in the input.
Model performance using the first frame data.
Performance of CNN-2D using different frame data.

According the data of XRD, the average grain size of ZnO is 15.1 nm consistent with the result observed by TEM (16.3 nm).
The possible reason is that too much MB darkened the solution leading to the reduction of light irradiation to the solution.

This system also performs trajectory planning, 3D simulation, auto-operation, ultrasonic signal analysis and 3D reconstruction according to the measured flow data.
Korayem et. al [6] delivered the exact procedure and methods for Design, modelling, development and experimental analysis of a six degree freedom robot, which is suitable for industrial applications, In their research work the followed the assumption that, the robot each joint link has an independent DC motor type actuator, with gear reduction unit and measuring sensor system for angular joint position of each and every robot elements.
(1) Step 3: Outer diameter, Mean diameter, Pitch : The core diameter is interpreted with the available standard data’s of IS: 4694 – 1968 for normal series of square thread.
From the standard data the pitch of the screw and outer diameter are interpreted.

The results of these researches show that the integration of the two functions may bring significant improvements with regard to a variety of performance measures through elimination or reduction in scheduling conflicts, reduction of flow-time and work-in-process, improvement of production resources utilization and adaptation to irregular shop floor disturbances [8].
The CLPP is an improved NLPP in which the process planners utilizing the feedback mechanism from the dynamic workshop status to filter some inappropriate process plans at the stage of process planning based on the real-time workshop data.
Seethaler et al [24] provided an improved integrated interface between the planning and control activities which both facilitate the identification and scheduling of suitable monitoring tasks and allow the updating of process plan data from real time.
However, for this type of integration it has to re-generate process plans in every scheduling phase based on the real-time data of the current status, the real-time data is hard to be updated and the process planning time is very strict.

Figure 1: (a) air inlets and outlets of the mound (b) termite mound structure (c) Abstracted termite model 2 Methodology 2.1 Study Area Description The data collection was acquired from constructing the two models; both of them were in the same location and along the same axis (East-West axis).
Since there is a correlation between the outdoor swing and the difference between the indoor and outdoor maximum temperatures, the temperature difference ratio was used to analyze the data.
The longer it takes the heat waves to pass through a surface, the reduction in the cyclical temperature on the inside surface compared to the outside surface.
Data in Fig. 8 displays that the wall orientation has a great effect on the Time Lag, TDR, and the Decrement Factor.
The collected data was divided into four seasons that were defined by compiling the monthly average temperatures and RH readings; where winter is defined from December to February, spring from March to May, summer from June to August, and fall from September to November.

In addition to dynamic recovery, both 3IVM and ALFLOW describe static recovery (RC), but for precise RCkinetics, experimental data is sparse, and accordingly these parts of the models are still under continuous improvement.
However, for a new alloy system, some parameters of the model [8] need to be optimised by comparison with experimental softening data.
As strain rate and temperature may vary along the strip length and in the cooling coil, detailed process input data is required, preferably from FEM models.
Then, using the resulting tandem mill data, the different dislocation density evolutions during hot rolling were simulated with 3IVM (coupled to the GIA deformation texture model) available on SimWeb.
This reduction in particle size increases both the yield stress and the work hardening - and hence steady state flow stress - by about 10%.

This has enabled significant reduction in the cost and time for design and development, and has helped to improve the quality and performance of parts.
It is a non-linear optimization process that uses experimental data (affected by uncontrolled variability) to determine the parameters describing some constitutive simulation model of a material.
An ANOVA (Analysis of Variance) has been conducted on the available material data, using the tensile tests' testing direction as a factor with three levels (0, 45 and 90°) and x as the vector of response variables.
No experimental data is available for the three friction coefficients (x9 x10 x11).
Initial blank diameter 635 mm, initial axial hole diameter 120 mm, initial sheet thickness: 0.81 mm; Young's modulus: 211 GPa; Poisson's coefficient: 0.284; isotropic behaviour; hardening law: σ=2457(0.005+ε) n MPa (data provided by the company).