Enis Genc

Papers

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About

Enis Genc is a researcher at the forefront of advanced manufacturing and lightweight composite structures, with a primary focus on coreless filament winding (CFW) technology. His work bridges the gap between digital simulation and physical fabrication, enabling the production of fibre-polymer composite structures that maximize lightweight potential while minimizing material consumption. Genc’s most cited paper, "Offline Robot-Path-Planning and Process Simulation for the Structural Analysis of Coreless Wound Fibre-Polymer Composite Structures" (2022, 8 citations), introduces a novel framework for simulating the robotic winding of pre-impregnated fibre bundles (Towpregs) around anchor points. This contribution is pivotal for optimizing the structural integrity of CFW components, allowing for precise path planning and process validation before physical production. By integrating offline simulation with structural analysis, Genc’s work reduces trial-and-error in manufacturing, accelerating the adoption of sustainable, high-performance composites in industries like aerospace and automotive. His research is particularly notable for its emphasis on digital twin methodologies, which enhance reproducibility and scalability. As a rising voice in composite engineering, Genc’s impact is set to grow, offering students and researchers a compelling model for combining computational design with real-world material efficiency.