Hallo, my modell is rectangular coil. Number of turns is 10. The distribution of coil is not equal. The distances of different turns are not identical. I want to use Optimization modell to get best distances for maximal inductance. That is, shape of coil soll be optimized.
The Global Control Variables are distance zwischen turns, d1..... d9,d10 The Global Inequality Constraint is 2(d1+d2+d3+d4+d5+d6+d7+d8+d9)+d10+202*r , because the length and width is fixed. The Global Objective is mf.LCoil_1.
The Problem is, if i use Monte Carlo method i can get many results of distance but the objective values are always unchanged and equal to first objective values. If i use MMA or SPONT methods comsol don't optimise my objective. Which settings can i adjust? Which method is best?