Welding and Thermal Processing by Laser

Neural Networks for fast sensor data processing in Laser Welding

To address the need for robust and fast representation, we introduce deep learning neural networks and parallel programming techniques for laser welding. In order to deal with high-dimensional data within real-time constraints, we use a deep autoencoder to extract robust, meaningful and low dimensional features. The implementation is then optimized, using parallel programming techniques and sho...

Micro-Welding of Super Thermal Conductive Composite by Pulsed Nd:YAG Laser

LASER WELDING - Literature Review

Lasers are now being used in the automotive industry to produce seam or stitch welds, as alternatives to conventional resistance spot welding, which are used extensively for attaching auto-body panels to subassemblies. The advantages of laser welding over resistance spot welding result from the smallness of the laser spot size, the large penetration depth of the weld into the material and the r...

Laser Revolutionizes Industrial Welding

Special attention has been focused on creating an ergonomic operator station that is not intimidating. This guarantees fast and efficient work, without fatigue, for many hours. The operator sits in front of the welder and manually loads parts to be welded into the enclosure. The operator has a clear view of the processing area through a large laser-safe window of protective glass. The final pos...

Laser nerve welding

Microsurgial suture (Conventional microsurgical suture repair, CMSR) is the most commonly used method for anastomosis of severed peripheral nerves. Functional recovery after this type of repair is often inadequate, however, even though the peripheral nervous system has a remarkable ability to regenerate adequate sizes and numbers of axons. The most significant problems with microsuture repair a...