Almas completed her Undergraduate degree from NED University of Engineering and Technology, Karachi, Pakistan, and is currently pursuing her Masters of Science from University of Alberta, Edmonton, Canada. She joined us in September, 2022 and is currently working as a Research Assistant in our team.
My research Interests are Additive Manufacturing, Automation, Control Systems.
From a broader perspective, my research area is Hybrid Manufacturing. Additive Manufacturing offers various advantages over conventional manufacturing and is a key enabler for Industry 4.0. Demand for geometrically complex and dimensionally critical Additive Manufactured parts is increasing, however, there are certain challenges posed by this technology. A 3D-printed object is printed layer by layer, each layer comprising beads. Each printed layer is not perfect as per the design, there are certain geometrical deviations. There is a lack of consistency between the digital product and the final outcome. These geometric deviations between the designed model and the manufactured product first need to be estimated and then corrected. For correction of deviations, various techniques can be used, here the purpose will be fulfilled by machining, which is a subtractive manufacturing paradigm, hence, to achieve the near net geometry, we need to utilize Hybrid Manufacturing. To realize the proposed system, a 3D printer, a milling machine, and a layer scanner will be used. Once the layer will be printed, the scanner will scan that layer, and deviations from the net shape will be calculated by the algorithm and machined by the milling machine, followed by the printing of further layers, resulting in geometrically accurate and precise 3D objects.