About
Tengfei Long serves as a Research Fellow at Coventry University's Centre for Manufacturing and Materials, specializing in digital twin applications for advanced manufacturing systems. His active involvement spans multiple high-impact research projects including Power electronics Upscale for Localisation and Sustainable Electrification (2024-2027), WAVETAILOR modular laser production systems (2024-2027), and CLEAN sustainable logistics initiatives (2022-2024).
Dr. Long's research integrates Digital Twin technology with manufacturing engineering to solve critical challenges in aircraft assembly, power electronics, and sustainable production. His work employs advanced computational methods including dynamic Bayesian networks, fuzzy rule systems, and IIoT architectures to enhance productivity, accuracy, and resource allocation in complex production environments. Key focus areas include intellectual property management within digital frameworks, lightweight process twin development, and real-time simulation of manufacturing systems.
Recent publications demonstrate consistent innovation in applying digital twin technology across diverse manufacturing contexts, with particular emphasis on data capture methodologies, simulation accuracy improvements, and sustainable production integration. His research bridges theoretical computational models with practical industrial applications in aerospace, CNC machining, and personalized production systems.
As a Research Fellow, Dr. Long contributes significantly to three major funded projects: Power electronics Upscale (focusing on sustainable electrification), WAVETAILOR (developing modular laser sources for short-run production), and CLEAN (addressing African logistics challenges). These initiatives involve cross-disciplinary collaboration with industry partners and academic researchers across multiple European institutions.
He operates within Coventry University's Centre for Manufacturing and Materials, participating in a dynamic research ecosystem that combines additive manufacturing, digital twin technologies, and sustainable production methodologies to advance next-generation manufacturing solutions.
