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        thickness on local contraction values are made with other technical parameters kept fixed.

        1 )  Fitting  curve  between  the  maximum  local  contraction  lengths  and  the  maximum  longitudinal
        deformation  of  the  whole  plate.  The  local  maximum  contraction  in  relation  to  the  maximum
        longitudinal deformation of each experimental plate of certain thickness is derived from the data of the
        experimental  plates  processed.  The  relation  curve between  the  maximum  local  contraction  and  the
        maximum  longitudinal  deformation  of  plates  of  this  thickness  is  obtained  with  the  help  of  spline
        function. Similarly, a group of curves of plates of different thickness can be obtained.

        2)  Thickness  correcting  factors.  According  to  the  above  fitting  curves.  correcting  factors  k.,,  are
        defined as:



        where suffix i is the number of experimental plates, and suffix  10 and 20 are the normal thickness of
        the experimental  plates respectively. And the theoretical  value of real ship plates is defined without
        suffix.


        5 OPTIMUM DESIGN OF TECHNICAL PAREMETERS IN LINE HEAT FORMING

        5.1 Optimum theorem and its characteristic

        The method adopted in this paper is the mixed integer one, which combines the simple method and
        rotation coordinate methods and has the following characteristics:

        1)  Discrete or continuous optimal solutions can be obtained.
        2)  It can be used for continuous or discrete variables, or both of them.
        3)  Searching  times  are  decreased  greatly,  because  only  the  calculation  of  the  discrete  variables  at
        nodes is necessary.

        5.2 Optimal models

        Given as the optimum solution is the optimal result x*, which satisfies

                      .fi = (x*) = min.fi(x)


        and meets the constraining conditions





        where x, n and m are design variables (technical parameters), the number of objective functions and
        the number of constraints respectively.
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