Search results
1 – 10 of over 13000To review presentations on assembly and joining given at a seminar, “The changing face of robotics: inside and outside the factory”, organised by the UK Institution of Electrical…
Abstract
Purpose
To review presentations on assembly and joining given at a seminar, “The changing face of robotics: inside and outside the factory”, organised by the UK Institution of Electrical Engineers.
Design/methodology/approach
Details are given of three presentations. The first is by Dr Phil Webb of the University of Nottingham, who described a project to develop a flexible robotic cell capable of riveting and assembling aero‐structure components, in which a new method of “simulation‐based control” evolved. In the second, Pearl Agjakwa of Nottingham University and Craig Johnson of Rolls Royce talked about shape metal deposition, a process by which layers of weld are deposited by robot to form complex aerospace components with minimal tooling and short lead times. The final presentation was by Dr Wolfgang Kölbl of Meta Vision Systems on laser vision robot guidance. Applications in automotive and a new cross vision sensor were described, the latter being applicable to hole location such as for drilling and riveting.
Findings
Robotics inside the factory is extending into new areas of assembly and fastening and is now finding applications in the aerospace industry and not just in automotive.
Originality/value
Provides a review of some new assembly‐related process developments in robotics.
Details
Keywords
This paper aims to provide details of vision-assisted robotic welding technologies and their applications.
Abstract
Purpose
This paper aims to provide details of vision-assisted robotic welding technologies and their applications.
Design/methodology/approach
Following a short introduction, this paper first considers the background of vision-assisted robotic welding, the functions of the vision systems and the scenarios where the technology is of benefit. The main section provides examples of vision-assisted welding applications, together with details of the systems and products employed. Finally, brief concluding comments are drawn.
Findings
This shows that modern machine vision technologies, often based on lasers, can allow robotic welding systems to compensate for dimensional variations and errors, eliminate the need for complex and costly welding fixtures and act as an alternative to skilled human welders. This technology allows robotic automation to be deployed in welding applications where it was hitherto impossible, technically difficult or not cost-effective.
Originality/value
By considering a section of applications, this paper provides an insight into how machine vision technologies can enhance the capabilities of robotic welding systems.
Details
Keywords
Abstract
Details
Keywords
Discusses the application of low cost laser based seam tracking systems to welding robots in the automotive industry.
Abstract
Discusses the application of low cost laser based seam tracking systems to welding robots in the automotive industry.
Details
Keywords
Discusses the application of robots for automated welding and bonding in manufacturing industry, and the part that laser‐based seam tracking systems have played.
Abstract
Discusses the application of robots for automated welding and bonding in manufacturing industry, and the part that laser‐based seam tracking systems have played.
Details
Keywords
Highlights recent developments in laser vision technology with regard to the aerospace industry. Specifically looks at its application to the Ariane 5 rocket, CCD cameras…
Abstract
Highlights recent developments in laser vision technology with regard to the aerospace industry. Specifically looks at its application to the Ariane 5 rocket, CCD cameras, adhesives and sealants and a sensor which defines the accuracy of drilling and countersinking in airfoil shapes.
Details
Keywords
Abstract
Details
Keywords
Abstract
Details
Keywords
Abstract
Purpose
The control of weld penetration in gas tungsten arc welding (GTAW) is required for a “teach and playback” robot to overcome the gap variation in the welding process. This paper aims to investigate this subject.
Design/methodology/approach
This paper presents a robotic system based on the real‐time vision measurement. The primary objective has been to demonstrate the feasibility of using vision‐based image processing to measure the seam gap in real‐time and adjust welding current and wire‐feed rate to realize the penetration control during the robot‐welding process.
Findings
The paper finds that vision‐based measurement of the seam gap can be used in the welding robot, in real‐time, to control weld penetration. It helps the “teach and playback” robot to adjust the welding procedures according to the gap variation.
Research limitations/implications
The system requires that the seam edges can be accurately identified using a correlation method.
Practical implications
The system is applicable to storage tank welding of a rocket.
Originality/value
The control algorithm based on the knowledge base has been set up for continuous GTAW. A novel visual image analysis method has been developed in the study for a welding robot.
Details
Keywords
Abstract
Details