| 1. |
|
|
| 2. |
|
|
| 3. |
|
|
| 4. |
- Bolmsjö, Gunnar, et al.
(författare)
-
Robotic arc welding - trends and developments for higher autonomy
- 2002
-
Ingår i: Industrial Robot. - : Emerald. - 0143-991X. ; 29:2, s. 98-104
-
Tidskriftsartikel (refereegranskat)abstract
- The development of robotized welding is truly impressive and is today one of the major application areas for industrial robots. The first industrial robots were introduced in the early 1960s for material transfer and machine tending. Not long after that, robots were used for spot welding and in the early 1970s for arc welding as well. During the years, significant developments have taken place both concerning the robot equipment and the welding equipment to meet the different challenges within the application area, This paper describes the development and progress of robotization in welding over the years and also some projections and trends for the near future.
|
|
| 5. |
|
|
| 6. |
- Bäck, Peter, et al.
(författare)
-
Automating gel image acquisition
- 2003
-
Ingår i: Journal of Proteome Research. - : American Chemical Society (ACS). - 1535-3893 .- 1535-3907. ; 2:6, s. 662-664
-
Tidskriftsartikel (refereegranskat)abstract
- We describe the design and implementation of a robotic solution to automate the acquisition of gel images. The soft- and hardware aspects are outlined together with the various safety aspects that need to be addressed.
|
|
| 7. |
|
|
| 8. |
- Cederberg, Per, et al.
(författare)
-
Virtual triangulation sensor development, behavior simulation and CAR integration applied to robotic arc-welding
- 2002
-
Ingår i: Journal of Intelligent & Robotic Systems. - 0921-0296. ; 35:4, s. 365-379
-
Tidskriftsartikel (refereegranskat)abstract
- Background: An increasing number of industrial robots are being programmed using CAR (Computer Aided Robotics). Sensor guidance offers a means of coping with frequent product changes in manufacturing systems. However, sensors increase the uncertainty and to preserve system robustness, a tool is needed that makes it possible to understand a sensor guided robot system before and during its actual operation in real life. Scope: A virtual sensor is developed and integrated in a CAR hosted environment. The real sensor is of a type commonly used in the arc-welding industry and uses a triangulation method for depth measurements. The sensor is validated both statically and dynamically by matching it with a real sensor through measurements in setups and by comparing a welding application performed in a real and a virtual work-cell created with a CAR application. The experimental results successfully validates its performance. In this context, a virtual sensor is a software model of a physical sensor with similar characteristics, using geometrical and/or process specific data from a computerized model of a real work-cell.
|
|
| 9. |
- Ericsson, Mikael, 1975-, et al.
(författare)
-
Three-dimensional simulation of robot path and heat transfer of a TIG-welded part with complex geometry
- 2002
-
Ingår i: 11th International Conferences on Computer Technology in Welding. - : Society of Manufacturing Engineers, North American Manufacturing Research Institution. ; , s. 309-316
-
Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- The application of commercial software (OLP) packages for robot simulation, and programming, use interactive computer graphics, provide powerful tools for creating welding paths off-line. By the use of such software, problems of robot reach, accessibility, collision and timing can be eliminated during the planning stage. This paper describes how such software can be integrated with a numerical model that predicts temperature-time histories in the solid material. The objective of this integration is to develop a tool for the engineer where robot trajectories and process parameters can be optimized on parts with complex geometry. Such a tool would decrease the number of weld trials, increase productivity and reduce costs. Assumptions and principles behind the modeling techniques are presented together with experimental evaluation of the correlation between modeled and measured temperatures.
|
|
| 10. |
|
|
