Complexity Beneath the Surface
Injection molding is central to high-volume manufacturing due to its efficiency and part consistency. However, behind the repeatability lies a sensitive process, susceptible to subtle deviations in temperature, pressure, and material behavior. The industry continues to grapple with:
Limited visibility into in-cycle process fluctuations
Difficulty in stabilizing mold setups across product variations
High cost of integrating feedback systems into legacy equipment
These issues often result in trial-and-error adjustments, increased scrap rates, and quality drift over time.
Toward Smarter Molding Intelligence
At SMARC, we are developing a data-driven control approach for injection molding that utilizes low-cost sensing, AI interpretation, and simulation-informed feedback. Our approach emphasizes data intelligence and interpretability, ensuring feedback can be translated into meaningful operational decisions, either autonomously or via operator guidance. This supports optimized cycle tuning even when direct machine feedback is limited or unavailable.
Development is ongoing, with control scenarios currently simulated in real environments.
If you are interested in learning more about our AI-powered molding control system, please don’t hesitate to reach out.
