Some quality indices such as Q, QR, QC and Q0 have been used to evaluate quality level of cast aluminium alloys based on tensile mechanical properties. Quality map has been used to intuitively evaluate the quality level based on quality indices.
They can show quality levels according to tensile properties, but cannot directly show quality levels according to artificial aging heat treatment conditions.
Yang Ji Yon, a student at the Faculty of Materials Science and Technology, has proposed a method to develop a comprehensive quality index and map of cast aluminum alloy according to artificial aging heat treatment conditions by order preference by similarity to ideal solution (TOPSIS) and multiple regression analysis. She has also proposed a method to determine reasonable artificial aging heat treatment conditions by the extremum principle and grid search method. On this basis, she wrote a program for the proposed method by MATLAB.
To illustrate the effectiveness of the proposed methods, she applied them to the cast aluminum alloy A357.
The proposed methods and MATLAB code could be widely used to evaluate the comprehensive quality level of all other cast aluminum alloys, and to select and optimize their reasonable heat treatment conditions.
You can find more information in her paper “Comprehensive quality index and map of cast Al alloys according to artificial aging heat treatment conditions using TOPSIS and multiple regression analysis and determination of reasonable heat treatment condition” in “Proc IMechE Part C: Journal of Mechanical Engineering Science” (SCI).
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