Recent Publications
Acoustic-Based Predictive Maintenance and Performance Improvement of Industrial Fans
Industrial Fans (axial, centrifugal, mixed-flow, etc.), provide large volumetric flow and pressure generation, which are essential parts of ventilation and process systems. This review is a compilation of recent developments in fan design, performance and applications. The flow/pressure ranges and the efficiency (backward-inclined centrifugal can be as high as ~82- 90% efficient, while radial/blade fans …
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Design, Fabricate, and Quality Optimization of a Fully Automated Interlocking Brick Manufacturing System
Interlocking bricks are mostly used in existing construction areas. They minimize the amount of mortar required and save time. Brick industries are among the largest industries in the world. Most existing brick-making machines are manual or semi-automated. These machines are very slow and cannot accurately control brick quality. Also, these kinds of machines need more …
Design and Fabrication of an Automated Briquetting Machine for Biomass Replacement in Industrial Process
Sustainable energy demand worldwide is increasing rapidly. There is a significant need for powerful machines capable of converting agricultural waste into solid fuel. This research project aims to design and fabrication of automated briquetting machines for biomass replacement in industrial processes. This machine makes the same-size Firestarter cubes from biomass. The main goal is to …
Development of a Breakfast Cereal Using Sprouted Mung Bean (Vigna radiata) and Roasted Flaxseed (Linum usitatissimum)
This study was conducted to develop a nutritious cereal blend using different compositions of sprouted green beans (SMB) powder, roasted flaxseed (RFS) powder and corn flour. The main objective was to create a functional cereal enriched with essential nutrients while maintaining good sensory properties. The proximate composition of the cereal was analyzed, and the following …
Diabetes Risk Prediction Models A Comparative Review of Traditional Machine Learning, and Agentic AI Approaches
Chronic illness, particularly, Type 2 Diabetes Mellitus (T2DM), is a critical health issue in Sri Lanka with the prevalence being attributed to lifestyle and dietary choices and socioeconomic aspects. Although the global research has already applied Artificial Intelligence in predicting diabetes, no research has been conducted in Sri Lanka since no country-relevant datasets or culturally …