Finding an appropriate model to assess and evaluate
mechanical properties in tissue engineered scaffolds
is a challenging issue. In this research, a structurally
based model was applied to analyze the mechanics of
engineered tendon and ligament. Major attempts were
made to find the optimum mechanical properties of
silk wire-rope scaffold by using the back propagation
artificial neural network (ANN) method. Different
samples of wire-rope scaffolds were fabricated
according to Taguchi experimental design. The
number of filaments and twist in each layer of the
four layered wire-rope silk yarn were considered as
the input parameters in the model. The output
parameters included the mechanical properties which
consisted of UTS, elongation at break, and stiffness.
Finally, sensitivity analysis on input data showed that
the number of filaments and the number of twists in
the fourth layer are less important than other input
parameters.