Composition Design Modeling and Experimental Verification of (Co Ni Al) Shape Memory Alloys
Abstract
The most important concepts to apply a shape memory alloy in manyindustrial applications is the composition design that controls thetransformation temperatures. In this paper, two mathematical models werecreated to predict the transformation temperatures for poly-crystalline (Co-Ni-Al) alloys. The data that was depend on to find the relation between chemicalcomposition and transformation temperatures were concluded from previouswork and approved by preparing samples in investigation practically. Fourdifferent alloys were prepared to verify this relation. It was indicated that thebest criteria that present the chemical composition is the (e/a) and make thealloy applicable for different applications. These suggested chemicalcompounds could be controlled and adjusted according to heat treatment time.
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