Title: Hybrid fuzzy logic approach for multi-objective optimisation in laser-based processes

Authors: Aristeidis Tsiolikas; John D. Kechagias; Stephanos P. Zaoutsos

Addresses: Forestry, Wood Science and Design Department, University of Thessaly, Karditsa, 43100, Greece ' Forestry, Wood Science and Design Department, University of Thessaly, Karditsa, 43100, Greece ' Energy Systems Department University of Thessaly, Larissa, 41500, Greece

Abstract: This research paper proposes a hybrid methodology that integrates experimental design, grey relational analysis (GRA), and fuzzy logic for multi-objective optimisation of laser-based processes. The aim is to optimise the laser speed and power during laser cutting to improve the surface quality and dimensional accuracy of cutting 3D-printed thin plates. The research methodology employs a systematic experimental design approach, statistical analysis, GRA and artificial intelligence model to identify the optimal process parameters and improve laser process efficiency. Integrating laser-based post-processing with additive manufacturing offers an effective solution to address the challenges of achieving high-quality products created by budget 3D printing technologies. The results of this study contribute to the development of efficient and robust hybrid manufacturing processes such as laser-based processing and 3D printing and provide valuable insights for enhancing the quality of additive manufactured parts.

Keywords: experimental design; GRA; grey relational analysis; fuzzy logic; laser-based processing; material extrusion; optimisation; surface quality.

DOI: 10.1504/IJMMS.2024.138109

International Journal of Mechatronics and Manufacturing Systems, 2024 Vol.17 No.1, pp.1 - 20

Received: 15 Jul 2023
Accepted: 14 Jan 2024
Published online: 29 Apr 2024 *

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