The GTxL™ low-ply cutting system is capable of cutting up to 2.5 cm (1 in) of compressed fabric, using GERBER’s state of the art reciprocating knife technology. A conveyorized cutting table efficiently transfers material from the spreading table to the cutter and then the cut parts onto the bundling area. The GTxL cutter is ideal for small-lot orders, special GTxL configurations are available for cutting ladies fashion, suits, sportswear, and industrial products, such as furniture and transportation interiors.

Improve material utilization.

Sophisticated sensing techniques control cutting speed for maximum quality and throughput, allowing parts to be more tightly nested. Consistently accurate cutting promotes better material utilization and reduces the amount of re-cuts necessary.

Competitive pricing with highest quality.

GTxL offers the lowest cost-per-unit cut for low-ply cutting systems. Lower power consumption, longerlasting consumables, more cutting time per cutting cycle and less downtime increase the value of GTxL. Increased throughput at less cost, means higher profits and faster return on investment.

Maximize performance.

The GTxL cutter operates using bite-feeding conveyorized technology, where fabric lay advances are automatically determined. The graphic, interactive user interface displays your cutting parameters and markers as they’re being cut. Cut paths are also optimized, promoting the most efficient tooling in the least amount of time. And, while cutting, an automatic knife re-sharpener helps maintain productivity.

Easy to maintain.

Experience the low maintenance, low cost of owning a GTxL GERBERcutter®. The porous bristle surface of these cutters allows the knife blade to penetrate the
surface without damage. For added dependability, on-board diagnostics and reliable components are used throughout, the system.

Manage production data.

The power to automatically track and collect throughput data is literally at your fingertips. Access production information from multiple machines or retrieve data from a knowledge base of your prior applications.