There are two main ways to start LabelMover.
You can use Windows Start menu: Start>Programs>Tera Analysis>Tools>QuickField LabelMover>Parametric Analysis with LabelMover.
Or you can start LabelMover from QuickField, as an add-in. For it, choose Tools>Parametric Analysis with LabelMover in QuickField menu. You can also use toolbar button or Ctrl+Alt+M shortcut.
After LabelMover is started you should switch to Tolerance Analysis using button at the Start page.
Press Base Problem... button. In the file dialog, choose the base problem you would like to experiment with.
If you start LabelMover from QuickField, your current QuickField problem is your start problem by default, so this step could be skipped.
Tip. LabelMover will remember the base problem you choose and use it as a default later. So if you work with the same base problem for some time, you can specify it only once.
Press the Add Values... button. Value definition dialog will appear.
Specify values you are interested in and press Add for each value.
Press Close.
See Adding Values for more information.
Properties Special for Tolerance Analysis
For Tolerance Analysis, you can specify a Maximum Deviation form Nominal property for a value.
This property is optional and it is not necessary to set it. It you specify it, LabelMover will estimate the percent of defects, that is, the expected percent of products that does not fit this maximum deviation.
Press the Add Variations... button. Variation definition dialog will appear.
Specify variations for model geometry and physical properties and press Add for each variation.
Press Close.
See Adding Variations for more information.
To get the results:
You can specify the Runs field. This field specifies how many random problems will be generated to get the statistics.
We would advice to use 30 or 50 runs if you want to get statistics about the output values and 100 or 200 runs if you would like to get the accurate histograms of the result distribution. You can also specify any number of runs manually. See Number of Runs and Precision of Results in Theoretical Description for more details.
Press the Get Results button
Wait while QuickField generates a sequence of problems with random variations, solves there problems and get statistics for results.
Tip. Progress bar will appear, indicating how many problems are already generated and solved. If you decide to quit the problem solving, you can press Cancel button any time.
After the problems with random variations are generated and solved, you will get the table of the statistics results for values. The first three columns are typically more important:
Nominal - result value calculated for the base problem
Tolerance - estimated maxium deviation from nominal for the values
% of Defects - estimated percent of results that does not fit the design limits specified for the value. (If design limit is not specified, this entry is empty. If no design limits are specified at all, this columns is hidden automatically).
The last four columns provide more detailed information about the distribution of the values:
Average - arithmetic mean of the calculated values
Std.Deviation - RMS (Root Mean Square) for the deviation from the average value.
Lower Tolerance Limit and Upper Tolerance Limit - estimations for the value minimum and maximum.
For more details about the meaning of these results see Theoretical Description
For tolerance analysis, you can view a histogram - a graphical representation for the value distribution. To view a histogramm:
Open the Plot page
Choose the Histogram in the combo box at the bottom left corner of the window.
Specify value you are interested in Value combo box
Histogram is a graphical respresentation for the frequencies of result distribution. It is represented by the yellow retangles. These rectangles show what proportion of resluts fall into each of intervals of possible values.
In addition to histogram, the following elements are displayed at the plot:
Blue bell-like curve display the shape the histogram would have for normal distribution of the value. So with this curve you can estimate how much is the real distribution close to the normal distribution. (To estimate the shape of distribution, it is necessary to have considerable number of runs, we would reccommend 100 or 200 runs).
Small circles at the bottom of the plot stands for results of the simulation. These circles helps ti estimate the frequencies of result distribution visually. You can also click a circle to get more information about the problem.
Dark yellow rhombus at the middle of the bottom line stands for nominal value.
Blue lines crossing the bottom line marks the most important statistical properties of the distribution: average, average +- standard deviation and average +- 3*standard deviation (upper and lower tolerance limits). (See Using 3*Sigma for Normal Distribution in Theoretical Description for more details about the meaning of these values)
If the maximim deviation is specified, then there are red lines at the bottom of the plot, marking the nominal +-maximum deviation (upper and lower specification limits).
You can put cursor over any of the plot elemets to see more information as a tooltip.
Similar to serial analysis, you can also view results as an X-Y plot. (See Viewing plots for Results for more information.)
For more information please see
Tolerance Analysis Overview
Theoretical Description for Tolerance Analysis
More LabelMover Features