A5041090113- Advanced Machining and Optimization Techniques
- Advanced machining processes and optimization
- Analytical Chemistry and Sensors
- Gas Sensing Nanomaterials and Sensors
- Advanced Surface Polishing Techniques
- Metal Extraction and Bioleaching
- Time Series Analysis and Forecasting
- Injection Molding Process and Properties
- Additive Manufacturing Materials and Processes
- Minerals Flotation and Separation Techniques
- Engineering Technology and Methodologies
- Mineral Processing and Grinding
- Complex Systems and Time Series Analysis
- Additive Manufacturing and 3D Printing Technologies
- Advanced Sensor and Energy Harvesting Materials
- Tribology and Lubrication Engineering
- Quality Function Deployment in Product Design
- Extraction and Separation Processes
- Multi-Criteria Decision Making
- Metal Alloys Wear and Properties
- High Entropy Alloys Studies
- Surface Roughness and Optical Measurements
- Adhesion, Friction, and Surface Interactions
- Sustainable Supply Chain Management
- Aluminum Alloys Composites Properties
Queensland University of Technology
2018-2023
Brisbane School of Theology
2019-2020
University of Engineering and Technology Taxila
2019
Yeungnam University
2015-2018
Porous WO<sub>3</sub> nanofibers have been synthesized by electrospinning polyvinylpyrrolidone (PVP) embedded with semiconducting nanoparticles followed annealing in air and tested toward acetone.
We report on a highly sensitive amperometric gas sensing device that employs electrospun tungsten oxide (WO<sub>3−x</sub>) nanofibers thus enabling trace levels (concentrations 1.2–12.5 ppm) of acetone vapor to be detected when operating at 350 °C.
This study is performed to assess the drilling of silicon carbide (SiC) and boron (B4C) particles reinforced with 6351 aluminum matrix. Stir cast specimens were prepared using an electrical resistance furnace, mechanical properties revealed. Experiments carried out varying spindle speed, feed rate, point angle analyze drill tool temperature, thrust force, surface roughness. Analysis variance (ANOVA) was determine significance percent influence each input process parameter on quality...