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About

Nuwan Munasinghe is a researcher at the forefront of advanced manufacturing, specializing in large-scale 3D printing and the integration of smart sensing into industrial equipment. His work centers on developing novel path planning and fabrication techniques for helical-shaped and complex geometries, notably through "radial slicing" and "print space sampling" methods. A key contribution is the direct-write fabrication of wearable IoT sensors embedded directly into 3D-printed industrial components, such as gravity separation spirals, enabling real-time wear profiling and predictive maintenance. This pioneering approach, detailed in his 2019 paper (12 citations), bridges additive manufacturing with Industry 4.0 by creating bespoke, intelligent machinery. His most cited work, "Radial slicing for helical-shaped advanced manufacturing applications" (2020, 26 citations), provides a foundational method for printing non-planar structures. Munasinghe’s research, including voxel-based sensor placement (2021, 6 citations), demonstrates a clear trajectory toward fully integrated, smart manufacturing systems. His contributions are essential for students and researchers exploring the intersection of robotics, sensor technology, and large-scale additive manufacturing for industrial automation.