It is capable of producing optimal plate designs within a given set of process parameters. The developed intelligent simulation software allows for the generation of an optimal injection mould design while improving the process efficiency associated with physical trial and error on the machine.

Any changes made during the design stage may result in a loss of investment if the processes are not followed correctly.

UTM's intelligent mould design simulation software, employing the Grey Wolf Optimiser Sine Cosine Algorithm (GWOSCA), addresses the need for efficient plastic injection moulding. By optimizing plate designs within specified parameters, it reduces investment risks associated with design changes. Outperforming competitors like Moldflow, this AI-based approach streamlines the design process, minimizing trial and error and enhancing overall efficiency.

To address this issue, UTM employs the Grey Wolf Optimiser Sine Cosine Algorithm (GWOSCA) in plastic injection moulding components, an Artificial Intelligent (AI) development approach of intelligent mould design simulation software.