Abstract

The deformation of compliant parts during material handling is a critical issue that can significantly affect the productivity and the parts’ dimensional quality. There are multiple relevant aspects to consider when designing end-effectors to handle compliant parts, e.g. motion planning, holding force, part deformations, collisions, etc. This paper focuses on multi-robot material handling systems where the end-effector designs influence the coordination of the robots to prevent that these collide in the shared workspace. A multi-disciplinary methodology for end-effector design optimisation and multi-robot motion planning for material handling of compliant parts is proposed. The novelty is the co-adaptive optimisation of the end-effectors’ structure with the robot motion planning to obtain the highest productivity and to avoid excessive part deformations. Based on FEA, the dynamic deformations of the parts are modelled in order to consider these during the collision avoidance between the handled parts and obstacles. The proposed methodology is evaluated for a case study that considers the multi-robot material handling of sheet metal parts in a multi-stage tandem press line. The results show that a substantial improvement in productivity can be achieved (up to 1.9%). These also demonstrate the need and contribution of the proposed methodology.

Highlights

  • Compliant sheet metal parts are widely used in manufacturing industries such as automotive, aerospace, and appliance

  • The mean and standard deviation of the results across the repetitions are shown in Table 2, where the productivity of the solutions is given as production rate (PR), which is expressed in parts per minute ([pr/min])

  • This difference in productivity might seem minor at first sight, this is a substantial improvement considering that the press line is used for high-volume production

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Summary

Introduction

Compliant sheet metal parts are widely used in manufacturing industries such as automotive, aerospace, and appliance. The compliance of the parts makes them deform during the robotic material handling in manufacturing systems. Controlling those deformations is necessary to maintain the dimensional quality. The magnitude of the part deformations is influenced by robot motion planning parameters (i.e. transfer paths, trajectory velocities and accelerations) and design parameters (i.e. end-effector design). The effect of the part deformations can become a limitation for the productivity (Li and Ceglarek 2002). A typical example is the multi-robot material handling in multi-stage sheet metal press lines where the plates need to be transferred between the presses as quick as possible

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