OVERVIEW
EFORT integrates robotic laser processes for automotive body structures where productivity, dimensional control, joint accessibility and finished-surface quality are critical.
Solution
EFORT combines robotic integration, laser-process equipment, component positioning, process protection, safety systems and quality-control interfaces within a coordinated production cell.
Process simulation and offline programming can be used to review robot accessibility, optical-head orientation, component presentation and cycle allocation before installation.
Remote Laser Welding uses rapid optical beam positioning to create welds without requiring the robot to follow every individual joint with conventional mechanical movement.
The reduced repositioning time between welds supports shorter joining cycles and high process productivity.
Technology can be applied to structural Body-in-White components, closures and assemblies requiring controlled thermal input.
Laser Brazing is suitable for visible automotive joints where both joining performance and external appearance are important.
The process supports smooth, continuous seams and can reduce the finishing work required before painting.
Typical applications include roof-to-body-side connections and other visible exterior joints.
The laser solution supports fast, accurate and repeatable joining while reducing unnecessary robot travel and limiting thermal impact on the component.
For visible joints, Laser Brazing supports the surface-quality requirements of modern automotive body design.
- High joining productivity;
- Rapid beam positioning;
- Reduced robot repositioning time;
- Controlled thermal input;
- Reduced component distortion;
- High dimensional accuracy;
- Repeatable joining quality;
- Suitable for visible exterior seams;
- Flexible robotic integration.
- Roof-to-body-side joining;
- Tailgates and closure systems;
- Body-side structures;
- Visible exterior joints;
- Structural Body-in-White components;
- Automotive assemblies requiring reduced thermal distortion.
