Search results

The objectives of this project are to eliminate the root cause of cab defect and to streamline the transfer process with the reduction of process cycle time.
Changeover / Setup Reduction Changeover means a certain kind of set-up that we must make before beginning a different set of operations.
All data are collected during the trial run to be analyzed later.
If the data analysis shows an improvement in the quality issue and reduce the cycle time, the project proceed with the next step which is the execution of the new process design permanently.
The time reduction is important factors for the cab transfer process as close to the cycle time of 7 minutes for GA production line and the cycle time for the current cab transfer process is 9.77 minutes.

Especially, the synthesis of ultrafine magnetic nanoparticles with tailored properties is vital for a variety of applications such as ultra high density data storage [1], ferrofluids [2], magnetic resonance imaging [3], magnetic hyperthermia treatment [4], drug delivery [5], magnetic refrigeration [6] and other applications.
The analysis of XRD data, using PowderX software revealed a deviation of lattice parameter from 2.828 Å to 2.86023 Å within an error limit of 0.03223 Å.
The surface oxidation and surface spin disorder may be responsible for this reduction [33].
More specifically, the reduction rate favours the formation of nanobars.
[8] Gunter Reiss and Andreas Hutten, Magnetic Nanoparticles: Applications beyond data storage.

With the measured data a nonlinear response-surface model was parameterized to describe the dependency of the mould filling on the investigated process parameters.
From the data the main effects and the interactions between two factors were calculated.
With this data a process window can be created.
This data was not used in the curve fitting.
The deviation of the mould filling predicted by the polynomial model is within ± 5% of the experimental data.

The mechanical parameters of the Hollomon hardening law are determined using the experimental data obtained on samples cut along the rolling direction.
One may notice that the GUI allows the user to introduce the experimental data in order to compute the parameters involved in the hardening law, yield criterion and FLC.
The experimental data has been processed using testXpert II software.
Principle of the hydraulic bulge test Fig. 4 shows the experimental equipment used to perform the bulge tests and to process the experimental data sets.
An accurate determination of the yield surface has been accomplished by supplementing the input data with the yield stresses associated to the plane strain conditions along the rolling and transverse directions, respectively.

Application of CDPM in Abaqus requires large data inputs although most of the data can be readily obtained using mathematical models.
Data evidences in Table 8 reject the null hypothesis of multivariate normality for the data, since test p-value 0.0075 is smaller than 5%.
Yande, Practical data analysis for designed experiments.
Wickham, ggplot2: Elegant Graphics for Data Analysis.
Tukey, “Exploratory Data Analysis,” in Section C, 1977

In addition, historic data for formulation and parameters were collected and analyzed.
Historic data revealed that the processing parameters had to be adjusted several times before the desired color was successfully achieved in some cases.
Experimental data were collected as per the design of the experiment.
Variance table or ANOVA table analysis was used to compare and evaluate each parameter for the final data analysis.
Although related graphs for CIE tristimulus data a* were created, only the dE* values are mentioned in this paper.

Around 7% of reduction in clinker production rate could be observed when replacing 48% of the coal energy input.
This figure is required to determine the reduction in clinker production rate when alternative fuels are used in the main burner.
This was done in order to find the reduction in production capacity due to the replacement of part of coal by MBM.
The overall heat transfer coefficient for the evaluation of heat loss through rotary kiln surface was kept constant in all cases due to lack of more accurate data.
This fits well with the 7% reduction predicted by the model simulation.

It is a core task in machine learning and data mining and has been intensively studied on static data.
The static data refers to the data whose feature values hardly or do not change over time.
Generally speaking, some try to modify the existing clustering methods for static data to handle the time series data, while others convert time series data to the form of static data so static data clustering techniques can be directly applied.
Clustering of time series data--a survey.
Discovering clusters in motion time-series data.

Minitab is a statistical software was used to analyze obtained data.
Minitab is defined as a software package to analyze the data.
Data analyse is an important part of quality control.
Measure dimensions of formed glass tube before/after maintenance, and measured data are stored.
c) Control charts: data to obtain control charts.

In absence of a sufficient number of data for estimation the temperature Md, such as: the mole fraction of carbon in retained austenite, the experimental research has been done.
The example of temperature distribution for drawn wires with smal partial reductions was shown in Figure 2. 1st draw 2nd draw 3rd draw 4th draw Fig. 2.
The distribution of temperature for drawn wires with small partial reductions and with drawing speed equal vc = 0.23 m/s The values of temperature read from mesh nodes (for each draw) for wire sufrace and wire axis are placed on Figures 3–4.
The variation in temperature value for wire surface and wire axis for wires drawn with small partial reductions as a function of the total reduction in area, for two drawing speeds Fig. 4.
The variation in temperature value for wire surface and wire axis for wires drawn with large partial reductions as a function of the total reduction in area, for two drawing speeds The values of drawn wires temperature are in the range from 34 to 255 °C, and depend directly on the schedule of partial reductions and speed of drawing.