For better welding quality, accurate path teaching for actuators must be achieved before welding. Due to machining errors, assembly errors, deformations, etc., the actual groove position may be different from the predetermined path. Therefore, it is significant to recognize the actual groove position using machine vision methods and perform an accurate path teaching process. However, during the...

Application of thermoplastic materials has increased dramatically in recent decades due to its recyclability, low density, resistance to chemical changes. The friction stir welding process is one of the new methods of solid state welding, which has recently undergone a significant improvement. In this research, using a new tool Made of plain carbon steel st37 in friction stir welding and low co...

Automating the welding process for the shipbuilding industry is very challenging and important, as this industry relies heavily on quality welds. Conventional robotic welding systems are seldom used because the welding tasks in shipyards are characterised by non-standardised workpieces which are large but small in batch sizes. Furthermore, geometries and locations of the workpieces are uncertai...

Today, welding tasks can be accomplished in two ways: 1) Manual or conventional, which is made by humans with a welding gun; and 2) Automated welding that is carried out by robots, this robots are called “Welding Robots”. Current welding robots are able to perform welding tasks continuously under different working conditions in low-scale production such as shipbuilding or in high-scale producti...

To the Editor: W elders are at risk of a wide range of respiratory health problems, including bronchitis, airway irritation, and lung function changes.1–5 Despite short duration of exposure, an inception cohort study of apprentice welders in Quebec documented a significant respiratory function decline, incidence of welding-related respiratory symptoms suggestive of occupational asthma and sensi...

To address control difficulties in laser welding, we propose the idea of a self-learning and self-improving laser welding system that combines three modern machine learning techniques. We first show the ability of a deep neural network to extract meaningful, low-dimensional features from high-dimensional laser-welding camera data. These features are then used by a temporal-difference learning a...

Laser welding is a widely used but complex industrial process. In this work, we propose the use of an integrated machine intelligence architecture to help address the significant control difficulties that prevent laser welding from seeing its full potential in process engineering and production. This architecture combines three contemporary machine learning techniques to allow a laser welding c...

Laser welding is an advance non-traditional and high energy beam welding technique for dissimilar material, which is being increasingly used in industries like automobile, nuclear reactors, aerospace etc. Again it is a very tough task to joining dissimilar materials due to their properties variation. In this present work two dissimilar metals such as copper and AISI 304 stainless steel are take...

We present a human-robot-cooperation welding system, consisting of several phases including a coarse acquisition of the work piece geometry, interactive fine-scanning of welding seam regions and automated optimizing path planning after task specification by the user. The coarse geometry acquisition component is explained in detail showing the feasible application of a novel and cheap 3D-Sensor ...

The present study presents the influence of welding current, welding voltage, welding speed and external magnetic field on hardness of shielded metal arc welded mild steel joints. Mild steel plates of 6 mm thickness were used as the base material for preparing single pass butt welded joints. Speed of welding was provided by cross slide of a lathe machine, external magnetic field was obtained by...