Proceedings of SerbiaTrib '13

An important issue in genetic algorithms is thetreatment of constraints. For each solution of f thepopulation, the objectivefitnessvalues arecalculated. Furthermore, every solution is checkedfor constraints violation.4. NUMERICAL APPLICATIONThe introduced methodology is applied to findthe design parameters of a cam mechanism withtranslating flat-face follower where the followeroffset is set equal to zero (e=0).Figure 2 shows the kinematic equirements pertransient region of the indicated in this figurefollower displacement diagram.The functional requirements and the t materialproperties usedd in this investigation areinserted inFigure 3.The parameters involved in all tests, mainly in GAprocedure, are the same and selected as optimumsthroughmanyyapplied tests: populationofindividuals=20,cross probability=80%, elite count=2andthe maximum number off generations is 100.Consideringgkinematicrequirementsthedisplacement,velocity and acceleration of thefollower are determined (Figure 4).Figure 2. Kinematic requirements.Figure3. Materials properties andfunctionalrequirements.Figure 4. The follower motion diagrams.In general the weighting factors α, β and γ of thefitness functionn (1) are selected considering theimportance of the objectives that must beachieved bythe mechanism. A high value of the weighting factorα increases the importance off first part of the objectiveefunction (F 1 ) that is to obtainn a small camsize. Afterseveral tests the followingg weighting factors arechosen: α=0.1, , β=0.1 and γ=0.8. Running theMATLAB codes with above mentionedparameters,the following design parameters are obtained:R b =32.67 mm and L=53.21 mm. Forr constructed27213 th International Conference C onn Tribology – Serbiatrib’13