prior experimentation and the value thus obtained may be fixed in equation 6 this would greatly reduce computational burden on the system referring to fig2 using the numerically determined values of the parameter set u03b8 ro the first curve 10 representing stress strain characteristic may be fitted on the first set of data samples 11 likewise as shown in fig3 using the numerically determined values of the parameter set u03b8 cmb the second curve 20 representing strain life characteristic may be fitted on the second set of data samples 21 as can be seen the u201c curve fit u201d method proposed herein involves a problem of non linear optimization that differs vastly from a conventional least squares ls fit method unlike in the conventional procedure with regard to the residues that are to be minimized i e amplitudes of stress and or elastic and plastic strain the dependent variables herein are identified as the stress amplitudes and the fatigue life span this has proved to be extremely beneficial with regard to the robustness of the method which is thus more reliable and obviates the need for providing high factors of safety in fatigue life estimation referring back to fig1 the design means 4 determines an estimated fatigue life of the component 6 on the basis of the lcf material curves obtained from the modeling means 3 herein based on calculated stresses in the component resulting strains are calculated based on the stress strain relationship given by first lcf material curve or ro.