Automated Welding
Automated Welding - Related Videos
08:40
Ultrasonic Welding of Thermoplastic Composite Coupons for Mechanical Characterization of Welded Joints through Single Lap Shear Testing
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Cited by 4 •
2016
A straightforward procedure for ultrasonic welding of thermoplastic composite coupons for basic mechanical testing is described. Key characteristics of this ultrasonic welding process are the use of flat energy directors for simplified process preparation and the use of process data for the fast definition of optimum processing conditions.
07:58
Automatic Laser-based Geometry Capture for Finite Element Analysis of Weld Beads
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2025
A process is described for acquiring near-real-time metrology of weld beads and prepare the resulting geometry automatically for finite element analysis.
09:17
Surrogate Model Development for Digital Experiments in Welding
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Cited by 2 •
2025
This protocol outlines a general workflow for constructing an artificial neural network for welding simulation using datasets generated automatically through Python scripts with macro functions. The workflow is validated against a benchmark case involving single-pass, straight-line welding. The surrogate model's predictive accuracy shows a strong agreement with finite element simulations.
07:18
Generating Lap Joints Via Friction Stir Spot Welding on DP780 Steel
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Cited by 2 •
2019
Here, we present a friction stir spot welding (FSSW) protocol on dual phase 780 steel. A tool pin with high-speed rotation generates heat from friction to soften the material, and then, the pin plunges into 2 sheet joints to create the lap joint.
08:06
Automated Acoustic Dispensing for the Serial Dilution of Peptide Agonists in Potency Determination Assays
0 Views •
Cited by 1 •
2016
Peptide adsorption to plasticware during traditional tip-based serial dilutions can significantly impact potency determination and confound the understanding of structure-activity relationships used for lead identification and lead optimization phases of drug discovery. Here methods for automated acoustic non-contact serial dilution of peptide samples are described.
FAQs
Consistency comes from coordinating several controllable variables rather than relying on a programmed path alone. The system regulates torch position, travel speed, and heat input, while sensors or feedback can detect alignment conditions and help maintain process stability. This coordination reduces variation between joints and makes automated welding suitable for repeatable fabrication tasks.
Process performance depends on matching operating conditions to the workpiece and joint. Material selection and joint design establish the fabrication requirements, while process parameters determine how the weld is executed. If these elements are poorly matched, the system may not achieve the intended joint quality or stability, so engineering decisions must precede programming.
Compared with manual operation, automated welding shifts control of the weld path and key variables from moment-to-moment operator action to programmed equipment. That shift supports greater consistency and can improve operator safety during production. It does not remove the need for engineering judgment, because materials, joint geometry, parameters, and monitoring still determine performance.
A practical setup begins with selecting suitable materials and defining the joint design. Engineers then program the weld path and establish torch position, travel speed, and heat input. During operation, sensors or feedback may be used to maintain alignment and stability. Quality monitoring provides information for evaluating whether the resulting joints meet production needs.
An automated setup requires more than a programmable machine. Its functional elements include the robotic or programmable motion system, welding equipment, control equipment, and, where used, sensors or feedback systems. Together they execute the prescribed path, regulate important variables, and support monitoring. The arrangement should reflect the material, joint design, and required production conditions.
Manufacturers would favor this approach when production requires high volume, repeatable joints, or efficient fabrication of structures and assemblies. Engineering applications include industrial automation and advanced manufacturing, where consistent operation can support production goals and improved operator safety. Its value is greatest when the process is engineered around suitable materials, joint designs, parameters, and quality monitoring.