SIMCON Launches AI Solver to Cut Injection Moulding Simulation Time From Hours to Seconds
SIMCON has released Cadmould AI Solver, an AI-driven tool that reduces injection moulding simulation time from hours to seconds. The solver, built with Emmi AI using transformer-based neural networks, lets product development teams evaluate filling patterns, pressure distribution, and temperature behavior almost instantly.
For product developers, the speed gain matters most. Faster simulations mean more design iterations in early development stages. Engineers can test more alternatives before committing to high-precision validation work.
How It Works Alongside Existing Tools
The AI solver doesn't replace traditional numerical methods. Instead, it works in parallel with them. Teams use the AI tool first to quickly identify optimal process parameters and narrow design options, then run high-precision validation using established solvers within the Cadmould Flex platform.
The technology trains on extensive engineering datasets, allowing it to predict behavior across different geometries without needing retraining for new part designs.
What's Coming Next
SIMCON launched a Partner Program offering early access to upcoming features. Participants can test the solver on their own product geometries and work with SIMCON's team to shape future development.
Shrinkage and warpage prediction are among the planned additions. The program targets industrial users in automotive, aerospace, medical, and consumer electronics sectors.
The Development Impact
Reducing simulation cycles directly shortens product development timelines. The approach lets teams make faster decisions in complex engineering environments while maintaining the accuracy required for production.
SIMCON has worked in injection moulding simulation for over 30 years. The AI solver reflects the company's focus on improving speed and efficiency in plastics manufacturing.
For product teams managing tight development schedules, the ability to evaluate more design alternatives in less time addresses a real constraint. The tool's design-working with rather than replacing existing methods-means adoption doesn't require overhauling current workflows.
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