AI Casting Decision Support with Castella: Shop-Floor Parameter Guidance

The metal casting industry is facing intense global competition and a severe shortage of experienced personnel. To stay ahead, foundries need intelligent, on-the-spot solutions, not just heavy desktop programs. Recently, at the TÜDOKSAD (Turkish Foundry Association) event, I introduced our AI assistant, Castella, which was designed to support engineers and operators working through these shop-floor challenges.

You can watch the full presentation on how we are transforming the industry here: AI-Supported Casting Process Optimization: Castella (YouTube)

https://youtu.be/K1JdyO6oaas?si=EEOSIru_oHyHm_4D

Castella complements traditional foundry simulation software used for detailed design studies. It is a trainable mobile AI assistant designed to turn shop-floor inputs into recommendations for engineers and operators.

A Pragmatic Complement to Foundry Simulation

For years, the industry has relied on slow, heavy desktop applications. While useful in the design phase, they fail when you need instant answers on the floor. Castella complements the foundry simulation workflow. Rather than replacing simulation, it uses structured alloy, geometry, process, and thermal inputs to provide ai casting optimization recommendations in a mobile workflow.

Mastering casting parameter optimization

Whether you are managing complex hpdc process parameters or seeking precise lpdc process control, managing countless variables is overwhelming. As an advanced casting parameter optimization software, Castella combines structured process inputs with reusable foundry knowledge. Teams can document mold, alloy, and operating context for review. Whether you are running die casting or working on sand casting optimization, teams can use the same decision-support workflow. Recommendations must be reviewed against facility-specific limits. Practical casting parameter optimization guidance is available in a mobile workflow.

Achieving More Repeatable Die Casting

A common goal for foundries is to reduce foundry scrap. When a shrinkage or porosity issue occurs, Castella can suggest adjustments to review for mold cooling, metal temperature, and related parameters. This die casting defect reduction workflow can reduce trial-and-error and support foundry scrap reduction. Actual results depend on the process, input quality, operating discipline, and site-specific validation; the goal is lower-defect die casting.