A5023261883- Titanium Alloys Microstructure and Properties
- Additive Manufacturing Materials and Processes
- Additive Manufacturing and 3D Printing Technologies
- High Entropy Alloys Studies
- Energy Load and Power Forecasting
- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
- Multidisciplinary Science and Engineering Research
- Coal Combustion and Slurry Processing
- Heat transfer and supercritical fluids
Shanghai Jiao Tong University
2019-2021
Government College University, Lahore
2020-2021
Modern data analytics techniques and computationally inexpensive software tools are fueling the commercial applications of data-driven decision making process optimization strategies for complex industrial operations. In this paper, modern reliable modeling techniques, i.e., multiple linear regression (MLR), artificial neural network (ANN), least square support vector machine (LSSVM), employed comprehensively compared as robust models generator power a 660 MWe supercritical coal combustion...
Constructing the power curve of a generation facility integrated with complex and large-scale industrial processes is difficult task but can be accomplished using Industry 4.0 data analytics tools. This research attempts to construct data-driven generator installed at 660 MW plant by incorporating artificial intelligence (AI)-based modeling The produced from modeled an neural network (ANN)—a reliable analytical technique deep learning. Similarly, R2.ai application, which belongs automated...
Selective laser sintering (SLS) technique was used to prepare porous β-type Ti-35Nb-2Ta-3Zr alloy specimens with variation in the porosities. This work investigated mechanical properties and microstructure evolution of structure fabricated by 3-D printing. The superelastic behavior are enhanced increasing porosity level, which led stress-induced martensitic transformation. SLS-produced specimen shows substantial high angle grain boundaries (HAGBs) associated β-twins attributable columnar...