Automated Production of Large Fibre Metal Laminate Aircraft Structure Parts

Vistein, Michael; Deden, Dominik; Glück, Roland; Schneyer, Stefan

doi:10.1016/j.promfg.2020.01.160

Cited by 3 publications

(1 citation statement)

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“…A manual placement of grippers on plies for the picking step is accompanied by an automated computation of the associated drop points (i.e., the points where the grippers have to be positioned in order to place the ply on the desired position in the form) and offline trajectory planning. Examples for this approach are described in [4,5], or in the context of fiber metal laminate in [24]. Here, the overall process is first partitioned into a linear sequence of steps associated with each ply which, in turn, are broken down to the pick, the transport, and the place process.…”

Section: Traditional Approachmentioning

confidence: 99%

A Toolchain for Automated Control and Simulation of Robot Teams in Carbon-Fiber-Reinforced Polymers Production

Körber,

Glück

2024

Applied Sciences

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This paper introduces, as a proof of concept, a tool chain for automated control and simulation of a robot team in the domain of production of carbon-fiber-reinforced polymers. The starting point is a CAD construction of a simple aviation component from which single cut pieces of carbon fiber, together withtheir properties, are extracted. Using this information and the layout of a given robot cell, various possibilities of assignments of cut pieces to grippers and robots or robot teams are determined. Subsequently, two approaches using an PDDL solver are introduced, with the goal of finding a scheduling for the lay-up process. Finally, the resulting process is simulated using a physics and rendering engine. The main purpose of this paper is to show the feasibility of such an approach; we do not concentrate on the optimization of single process steps and other details. Due to the modular structure of our approach, extensions and optimizations of the single blocks are easy to integrate. At the moment, digitization and automated control are little explored areas in the domain of production technology using pick and place processes in the aerospace industry. We think that our work will lead to further research in this direction.

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Section: Traditional Approachmentioning

confidence: 99%