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Variable Dependent Parametric Sweep
Posted 27 lug 2015, 07:11 GMT-4 Geometry, Materials, Parameters, Variables, & Functions, Results & Visualization, Studies & Solvers Version 5.0 0 Replies
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I have been stuck with this issue for sometime now and cannot seem to find a way around it! I am trying to run a parametric sweep over two variables (e.g X and Y). I have defined X to have the range: range(1,1,10). I would like to define the Y range in terms of the current X value such as:
range(0.1*X,0.1,0.5*X)
This is only a simplified version of the dependency I would like to use as I thought a clearer model would be easier to explain. The actual section of my script is:
model.study('std1').create('batsw', 'BatchSweep');
model.study('std1').feature('batsw').label('Batch Sweep - JACK');
model.study('std1').feature('batsw').set('sweeptype', 'filled');
model.study('std1').feature('batsw').setIndex('pname', 'L', 0);
model.study('std1').feature('batsw').setIndex('plistarr', '', 0);
model.study('std1').feature('batsw').setIndex('punit', 'mm', 0);
%model.study('std1').feature('batsw').setIndex('pname', 'L', 0);
%model.study('std1').feature('batsw').setIndex('plistarr', '', 0);
%model.study('std1').feature('batsw').setIndex('punit', '', 0);
model.study('std1').feature('batsw').setIndex('plistarr', 'range(L_min,L_step,L_max)', 0);
model.study('std1').feature('batsw').setIndex('pname', 'D', 1);
model.study('std1').feature('batsw').setIndex('plistarr', '', 1);
model.study('std1').feature('batsw').setIndex('punit', 'mm', 1);
%model.study('std1').feature('batsw').setIndex('pname', 'D', 1);
%model.study('std1').feature('batsw').setIndex('plistarr', '', 1);
%model.study('std1').feature('batsw').setIndex('punit', '', 1);
model.study('std1').feature('batsw').setIndex('plistarr', 'range(0.1*L,0.01,0.5*L)' , 1 ) ; % This is the line!!
model.study('std1').feature('batsw').set('useaccumtable', 'off');
model.study('std1').feature('batsw').set('maxallow', '6');
model.study('std1').feature('batsw').set('synchsolutions', 'on');
Hello Jack Gartlan
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