The Dean of the College of Science and Technology at the University of Human Development, Prof. Dr Muzhir Shaban Al-Ani, along with two lecturers at the Department of Information Technology, Dr Farooq Muhammad and Ms. Hamsa Majeed, have jointly published a paper on ‘the use of image processing analysis techniques to optimize stirrer design for the production of aluminium alloy composites,’ titled ‘An Image Analysis for Designing an Optimal Stirrer in Metal Matrix Composites Manufacturing’, published in the UHD Journal of Science and Technology. The journal is semi-annual and open-access, published by the University of Human Development, Iraq. It is indexed in several important international databases.

The paper addresses aluminium-based composites and proposes new methods to enhance the commercial viability of the commodity, which is used in manufacturing and construction, as demand for it rises significantly. Below is the paper’s abstract:

The global market for aluminium-based composites, widely used in manufacturing and construction, is expected to grow significantly. However, enhancing the cost-to-performance ratio is essential to improving their commercial viability. Efficient mixing plays a critical role in many industrial and chemical applications. Stir casting is the leading method for producing aluminium alloy matrix composites, but achieving a uniform particle distribution remains a significant challenge. In this study, the optimal stirrer design was identified using image processing techniques to analyse the distribution of ceramic grains. The stirrer that achieved the most uniform grain distribution was selected, eliminating the need for destructive testing. The mechanical properties of the final products validated the accuracy of the image analysis results.