CONCLUSION

This project presents an advanced AI-assisted generative fixture design framework capable of creating lightweight, high-stiffness CNC fixtures. The integration of FEA, topology optimization, generative AI, and ANN significantly improves fixture performance while reducing material usage. Design 3 emerged as the most structurally efficient solution. ANN validation proved extremely accurate, supporting fast, data-driven decision-making. Overall, this work demonstrates a practical pathway toward autonomous, intelligent fixture design aligned with Industry 4.0 and Industry 5.0 principles.

FUTURE SCOPE

Future enhancements may include:

• Integration of IoT and real-time sensors to monitor temperature, vibration, and deformation during machining.

• Closed-loop feedback systems, allowing fixtures to self-adjust based on ANN and LLM corrective logic.

• Additive manufacturing of optimized geometries, enabling complex organic shapes and lattice structures.

• Training ANN with larger simulation and experimental datasets for improved generalization.

• Full automation of fixture design using LLM-based generative engineering pipelines.

These advancements can lead to fully autonomous, self-optimizing fixture systems for next-generation intelligent factories.