TCI Cutting 推出 IA Smart Motion 2.0，将 AI 集成进光纤激光切割机运动控制
TCI Cutting integrates AI into new laser cutting machines
TCI Cutting 推出 IA Smart Motion 2.0，把人工智能直接集成到光纤激光切割机的运动控制中。该系统会预判即将加工的切割路径，按工件实际几何形状自适应调整速度与加速度，在接近曲线和小半径时提前调节运动，使直线段保持较高速度，只在需要精度处减速与圆整。该技术用于 TCI Cutting 的 2D、2D+Bevel 和 3D 光纤激光切割方案，官方称可实现更平滑的运动、更优的轮廓质量并减少机械磨损。 与 IA Smart Motion 2.0 配套的是该公司自有的 MAS Concept（Machines、Automation and Software），其中包含生产管理软件 Manager PRO 和自动码垛系统 TCI Sorter 3.0。Manager PRO 汇总全部生产数据，并将车间计划与实体设备实时联网；切割完成后由 TCI Sorter 3.0 接手，集成 Smart Sorting 技术的 AI 逻辑，自主决定取件策略并按后续工序优先级把切件摆放到托盘上。每一步都会把新数据回传系统，减少人工干预并持续优化物料流。 原文另附一段补充说明，介绍龙门结构光纤激光设备加速度常超过 2 至 3 G 时的振动与惯性问题，以及无人化生产中带吸盘龙门机器人需计算不对称零件重心、避开零件孔位的抓取逻辑，该部分不属于原新闻稿内容。
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03 {{ "2026-11-03T00:00:00+00:00" | date "MMM" }} '26
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IA Smart Motion 2.0 and the networked MAS Concept enable increasingly autonomous and digitized sheet metal manufacturing.
www.tcicutting.com
TCI Cutting is driving the development of smart factories with the introduction of IA Smart Motion 2.0®. The advanced system integrates artificial intelligence directly into the motion control of fiber laser cutting machines. Combined with the company's proprietary MAS Concept® (Machines, Automation, and Software)—which includes the production management software Manager PRO® and the automated palletizing system TCI Sorter 3.0®—the Spanish manufacturer creates a networked ecosystem. This end-to-end production model aims to seamlessly connect machines, robotics, and software to maximize productivity and process autonomy beyond the mere cutting operation.
Predictive path planning and dynamic kinematics
Traditionally, laser cutting cycle times are severely impacted by abrupt braking and acceleration during complex directional changes. The new AI-supported IA Smart Motion 2.0® control predictively analyzes the upcoming cutting path and adaptively adjusts the machine's dynamic behavior—speed and acceleration—to the actual geometry of the workpiece. When the laser head approaches curves or tight radii, the system modulates the movement early, allowing high speeds to be maintained on straight stretches, rounding and braking only where precision requires it. Deployed across TCI Cutting's 2D, 2D+Bevel, and 3D fiber laser cutting solutions, this technology ensures smoother movements, optimized contour quality, and reduced mechanical wear.
End-to-end data flow from cut to pallet
Optimizing pure cutting performance is only part of the equation; the real bottleneck in modern sheet metal manufacturing often lies in downstream intralogistics and material handling. This is where TCI Cutting's MAS Concept® steps in: the Manager PRO® software bundles all production data and networks shop floor planning in real time with the physical machines. After the cut, the TCI Sorter 3.0® takes over, integrating the AI-based logic of Smart Sorting® technology. This intelligent system autonomously decides on extraction strategies and arranges the cut parts on pallets according to priorities for subsequent manufacturing steps. Each process step feeds new data back into the overall system, drastically reducing manual interventions and continuously optimizing the material flow.
Additional Context: Moments of Inertia in Gantry Machines and Robot Gripping Logic
This section describes physical and kinematic principles of sheet metal processing not included in the original press release.
In high-performance sheet metal processing, the gantries of modern fiber lasers move with enormous accelerations, often exceeding 2 to 3 G. Under these extreme forces, the physical limits of the machine structure are reached: abrupt directional changes in sharp corners generate high-frequency vibrations and mechanical jerk, which can appear as fine chatter marks on the cutting edge. Conventional CNC controls brake the massive drives heavily before corners, costing valuable cycle time. A predictive AI control calculates the exact moments of inertia of the moving masses in advance and modulates the servo drives in fractions of a microsecond to navigate corners in smooth profiles and eliminate mechanical resonances.
Another massive challenge in "lights-out" automation (unmanned manufacturing) is the subsequent sorting of the parts. During cutting, nesting is designed to minimize sheet metal waste, resulting in entirely different geometries lying extremely close and intertwined on the cutting bed. During automated unloading, gantry robots with suction cup grippers must calculate the exact centers of gravity of these asymmetrical parts—which may be fixed by micro-joints or partially tilted—without shifting adjacent workpieces or placing the vacuum cups over holes in the part. Complex AI algorithms are deployed here to interpret the nesting plans and dynamically calculate the optimal gripping, lifting, and depositing strategy.
Edited by industrial journalist Lekshman Ramdas, with AI assistance.
www.tcicutting.com
来源：Metalworking International · metalworkingmag.com