Automated material handling in composite manufacturing using pick-and-place systems – a review

Björnsson, Andreas; Jonsson, Marie; Johansen, Kerstin

doi:10.1016/j.rcim.2017.12.003

Cited by 67 publications

(29 citation statements)

References 13 publications

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“…As stated in refs. [2,3], there have been earlier initiatives that attempted to find the automated and competitive solutions for smaller parts. The majority of them focus on dry fabrics without resin.…”

Section: State Of the Artmentioning

confidence: 99%

Design of Automated Robotic System for Draping Prepreg Composite Fabrics

Ellekilde¹,

Wilm²,

Nielsen³

et al. 2020

Robotica

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SUMMARY This paper presents a novel solution for precision draping of prepreg composite fabrics onto double curved molds. Our contributions relate to system design, including hardware and software components, and to system integration. On the hardware side, design and implementation of a drape tool with up to 120 suction cups positioned individually by linear actuators are described. On the software side, design and implementation of the software architecture are presented, along with necessary algorithms within sensor technologies and mathematical modeling. The essential system’s components were verified individually, and the entire integrated system was successfully validated in the Proof-of-Concept experiments, performed on an experimental physical model of the system.

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Section: State Of the Artmentioning

confidence: 99%

Design of Automated Robotic System for Draping Prepreg Composite Fabrics

Ellekilde¹,

Wilm²,

Nielsen³

et al. 2020

Robotica

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“…This requires a flexible gripping module (e.g. [66,97,[111][112][113]) and b) In a continuous direct lay-up process, the NCF is draped during the lay-up process. Draping units are used to press the NCF against the mould and smooth out faults that occur.…”

Section: Drapingmentioning

confidence: 99%

Towards automation of wind energy rotor blade production: a review of challenges and application examples

Ohlendorf

Richrath

Franke

et al. 2020

Advanced Manufacturing: Polymer & Composites Science

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Current wind turbine rotor blades have a significant impact on the cost of the turbine, which is mainly a consequence of the manual process steps involved in blade production. The manual, labour-intensive production process leads to high tolerances and requires high safety and reliability factors. Especially in the case of offshore turbines with current and upcoming blade dimensions, automation will make the blades cost effective, quicker to produce and guarantees a higher quality. Here, we analyse the current blade structure and production processes and present a technical review of the existing automation approaches for the textile build-up process in industry and academia. Thereby we classify these approaches according to the different techniques based on the rotor blade structure parts.

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“…Clearly, there is a broad group of grasp point detection techniques which can be listed either according to the type of perception sensor, or by a ASTESJ ISSN: 2415-6698 procedure used for object and grasp point detection and positioning. The most current methods are clearly described in survey [8]. Deep learning approaches for the detection of robotic grasping poses are summarized in review [4].…”

Section: Introductionmentioning

confidence: 99%

Efficient 2D Detection and Positioning of Complex Objects for Robotic Manipulation Using Fully Convolutional Neural Network

Štursa¹,

Honc²,

Doležel³

2021

Adv. sci. technol. eng. syst. j.

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Programming industrial robots in a real-life environment is a significant task necessary to be dealt with in modern facilities. The "pick up and place" task is undeniably one of the regular robot programming problems which needs to be solved. At the beginning of the "pick and place" task, the position determination and exact detection of the objects for picking must be performed. In this paper, an advanced approach to the detection and positioning of various objects is introduced. The approach is based on two consecutive steps. Firstly, the captured scene, containing attentive objects, is transformed using a segmentation neural network. The output of the segmentation process is a schematic image in which the types and positions of objects are represented by gradient circles of various colors. Secondly, these particular circle positions are determined by finding the local maxima in the schematic image. The proposed approach is tested on a complex detection and positioning problem by evaluation of total accuracy.

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Automated material handling in composite manufacturing using pick-and-place systems – a review

Cited by 67 publications

References 13 publications

Design of Automated Robotic System for Draping Prepreg Composite Fabrics

Design of Automated Robotic System for Draping Prepreg Composite Fabrics

Towards automation of wind energy rotor blade production: a review of challenges and application examples

Efficient 2D Detection and Positioning of Complex Objects for Robotic Manipulation Using Fully Convolutional Neural Network

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