Composition design modeling and experimental verification of (Co Ni Al)‎ shape memory alloys

Abstract EN

The most important concepts to apply a shape memory alloy in many industrial applications is the composition design that controls the transformation temperatures.

In this paper, two mathematical models were created to predict the transformation temperatures for poly-crystalline (Co-Ni- Al) alloys.

The data that was depend on to find the relation between chemical composition and transformation temperatures were concluded from previous work and approved by preparing samples in investigation practically.

Four different alloys were prepared to verify this relation.

It was indicated that the best criteria that present the chemical composition is the (e/a) and make the alloy applicable for different applications.

These suggested chemical compounds could be controlled and adjusted according to heat treatment time.