Manual measurement is inefficient
Precise wall-thickness measurement cannot be completed manually in the available time; dense automated samples are reduced to a few manual points.
Optimization of Seamless Pipe Cutting Ends
Use automated wall-thickness measurements; calculate cutting values automatically; search large-scale spaces for the best sawing combination; improve yield
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Pain Points of Seamless Pipe Cutting
Humans cannot calculate quickly enough
Cutting must account for wall thickness, contract requirements and gang-saw efficiency within the available process time.
Yield rate is sacrificed
Extra material is often cut away to compensate for limited manual measurements and reduce the risk of missing contract requirements.
Unable to adapt dynamically
Different process windows require the number of cutting-parameter combinations to change dynamically, which cannot be handled manually in real time.
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Pipe Cutting AI Engine
A large-scale spatial search algorithm finds the cutting-coordinate combination that maximizes yield within the available process time.
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Pipe Cutting AI Engine Advantages
Use wall-thickness data
Fully use measurements from X-ray wall-thickness instruments and other automated equipment.
Maximize yield
Search automatically identifies the optimal head-and-tail cutting coordinate combination.
Gang-saw integration
Once coordinates are confirmed, the gang saw can cut automatically and avoid manual-entry errors.
Dynamic cutting combinations
Multi-objective dynamic optimization adjusts the sawing rhythm to match process requirements.
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Contact Us
Contact us to explore how our innovative solutions can help your business reduce costs, improve efficiency and enhance product quality.
Contact UsContact Details
Email
team@edgeape.com
Address
中国，天津市，南开区，天津科技广场3号楼901-1