ML for Cheaper, Efficient, Flexible Manufacturing Procedures
Artificial Intelligence for Multi-parameter Optimisation of Manufacturing Procedures
Tags: Australian National University, Australia, Industrial Automation & Manufacturing
The novel approach developed utilizes machine learning techniques and heuristics for global optimization, efficiently generating solutions while reducing the need for extensive evaluations. Unlike traditional methods, it scales well with additional dimensions and avoids local minimum traps, offering a versatile and user-friendly alternative for various industries. Applications include advanced manufacturing, photonics, and renewable energy component production. This technology seeks industry feedback and collaboration for further development and application-specific optimization.
IP Type or Form Factor: Process & Method; Software & Algorithm
TRL: 5 - prototype ready for testing in intended environment
Industry or Tech Area: Manufacturing Technology; Industrial Automation
