The Workstation Planning & OLP module is responsible for determining the detailed configuration and
operation of an RLW workstation. It works with the following inputs: (i) set of welding tasks –together with the selected resources and their layout pattern including the model of the RLW robot, and the upper limit of the cycle time of the workstation (from System Feasibility and Configuration module); (ii) CAD model of the product and a refined version of the welding fixture (from Process Design module). Initially, only the clamp layout is given, though later stages include the CAD model of the fixture; and (iii) For each welding task, the specification of process parameters, i.e., welding power and speed, and maximal inclination angle of the laser beam (from Process Design module).
The generated outputs include: (i) detailed configuration of the workstation, with the precise
placement of all its elements and conducted accessibility analysis for all the welding tasks; (ii)
executable off-line program (OLP) of the RLW robot that completes all welding tasks with a minimum
cycle time and complies with the kinematic model and the controller of the robot; and (iii) 3D
simulation of the workstation operations using advanced graphical user interface. This feeds into the
Process Design module or can be used as interlinked iterative optimisation between Workstation
Planning & OLP and Process Design modules.
What is it?
- A software toolbox that supports the detailed configuration, optimization, automated off-line programming and simulation of RLW workstations.
What does it do?
- Accessibility analysis, feedback to fixture and product design.
- Integrated welding task sequencing and robot path planning for minimizing cycle-time.
- Collision detection and avoidance.
- Detailed workstation design.
- Automated off-line robot code generation.
- Simulation of the RLW workstation.
- Significantly reduced robot programming effort and time.
- First-time-right implementation due to complete calibrated digital model.
- Shortened ramp-up process and accelerated time-to-market.
- Increased throughput and reduced energy demand.