MetalForming Magazine 对话 Cimatron：AI 辅助模具设计如何提前识别成形问题
MetalForming Magazine talks to Cimatron about AI-assisted die design
Cimatron 的 Dan Marinac 与 BiggerBoat Solutions 的 Jay Weiner 在 MetalForming Magazine 2026 年 6-7 月刊文章中，讨论了 AI 辅助技术如何支持模具开发过程中的特征识别、材料流动分析、回弹预测等关键环节。文章指出，人工智能正开始重塑模具设计，帮助制造商更早发现潜在的成形问题、自动化重复性任务，并更好地利用仿真数据。文章还探讨了在设计、仿真、加工和生产全过程中维护准确数字主模型的重要性。通过连接这些流程并在价值最大的环节应用智能自动化，制造商可减少模具试模、更高效地响应设计变更，并更有信心地从概念推进到生产。
Artificial intelligence is beginning to reshape die design by helping manufacturers identify potential forming issues earlier, automate repetitive tasks, and make better use of simulation data.
In a recent article in MetalForming Magazine, Cimatron’s Dan Marinac and Jay Weiner of BiggerBoat Solutions discuss how AI-assisted technology can support feature recognition, material-flow analysis, springback prediction, and other critical steps in the die-development process.
The article also explores the importance of maintaining an accurate digital master throughout design, simulation, machining, and production. By connecting these processes and applying intelligent automation where it delivers the greatest value, manufacturers can reduce die tryouts, respond more efficiently to design changes, and move from concept to production with greater confidence.
Visit https://www.metalformingmagazine.com to read the article, which appeared in the June-July 2026 issue of MetalForming Magazine.
来源：Cimatron · CAD/CAM与模具加工 · cimatron.com