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

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.