SAWTEQ A-400 | A-410 Angular Saw Unit

The SAWTEQ A-400 | A-410 is a dual-axis angular saw unit designed for automated lengthwise and crosswise panel division in high-throughput woodworking operations. It combines a rip saw with independent carriage motion and a cross-cut saw in a single integrated system, enabling continuous processing of large panel books without intermediate handling or repositioning.

The machine delivers exceptional precision and speed through parallel processing architecture: the rip saw operates with program fence speeds up to 90 m/min across cutting lengths of 3,200 / 4,300 / 5,600 mm (configurable), while the cross-cut saw maintains independent speeds up to 140 m/min with a fixed 2,200 mm cutting length. The saw carriage itself accelerates to 150 m/min standard (170 m/min optional), enabling rapid approach and retract cycles. Motor options range from 11 kW base configuration to 24 kW (50 Hz) or 28 kW (60 Hz), accommodating both softwood and dense engineered materials. The 24-inch full-HD multi-touch display with CADmatic 5 software provides real-time nesting optimization and job sequencing across multiple cutting patterns.

This machine targets industrial-scale panel processors and integrated furniture manufacturers operating 3-shift production environments. Typical applications include division of melamine, plywood, and solid wood panels into component blanks for case goods, ready-to-assemble (RTA) furniture, and kitchen cabinetry. The system excels at jobs requiring 500+ panel units per shift with mixed cutting patterns, where manual or slower semi-automatic saws create bottlenecks.

Within its class, the SAWTEQ A-400 | A-410 distinguishes itself through dual independent saw axes that eliminate sequential processing delays—both rip and cross cuts execute in optimized sequence rather than as discrete operations. Combined feed rates and carriage speeds position it above entry-level beam saws but below full-scale CNC multi-blade systems, making it the optimal choice for high-volume panel processors with space and budget constraints.