Realization of simultaneous processing of multiple machines by inexperienced operators and a single person! Equipped with a vertical simultaneous 5-axis cutting unit.
The "TTMC" is a fully automated machining center that automates all processes before and after machining that require the judgment and adjustment of skilled workers. This product is a "growing machine" due to continuous updates of AI control for machine tools, and it is equipped with an ecosystem for automatic ordering of tools and materials. Additionally, the "TTMC Brain," which controls the entire system, interprets 3D CAD data and enables process design and NC program generation. Based on the process design, the robot thinks and executes the setup of tools and materials. 【Features】 ■ AI integration and complete automation of all 12 processes in cutting machining ■ A "growing machine" due to continuous updates of AI control for machine tools ■ Realization of simultaneous processing of multiple machines by inexperienced operators or a single operator ■ Complete ecosystem for automatic ordering of tools and materials *For more details, please download the PDF or feel free to contact us.
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【Other Features】 ■Simultaneous 5-axis control ■All-in-one model including robotic equipment ■Continuous operation time of 72 hours ■Fine setup without material handling ■Tool wear measurement and learning ■2D code management for tools, collets, and holders *For more details, please download the PDF or feel free to contact us.
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"Alm Code 1" is a manufacturing AI software that significantly reduces the time required for NC programming, thanks to the unique technology and know-how of the Alm Group, enabling a 50% reduction in cost structure within the metal and machining industry. It is equipped with comprehensive features that are beneficial for both the manufacturing site and management side. Starting with milling, future Alm Code series will also support turning and grinding processes, and by combining it with hardware planned for future development in the Alm Code series, we aim to achieve a total cost reduction of 80%.
