Sensory integrated fabric ply separation

Monkman, Gareth J.

doi:10.1017/s0263574700019007

Cited by 8 publications

(5 citation statements)

References 16 publications

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“…The fabric handling operations in the clothing industry can be divided in the following classes: separation, grasping, translation, placing, positioning, feeding and sewing. A lot of research has been done in the fabric acquisition using robotic grippers (Taylor, 1990;Monkman, 1996;Koustoumpardis & Aspragathos, 2004). While few researchers have worked on the automatic feeding of fabrics into the sewing machine.…”

Section: State-of-the Art and Related Workmentioning

confidence: 99%

Intelligent Robotic Handling of Fabrics Towards Sewing

Koustoumpardis¹,

Zacharia²,

Aspragathos³

2006

Industrial Robotics: Programming, Simulation and Applications

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Section: State-of-the Art and Related Workmentioning

confidence: 99%

Intelligent Robotic Handling of Fabrics Towards Sewing

Koustoumpardis¹,

Zacharia²,

Aspragathos³

2006

Industrial Robotics: Programming, Simulation and Applications

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“…By analyzing reviews of grippers and applications for manipulating flexible objects [19][20][21][22][23][24][25] in robotic systems, it becomes apparent that many problems can be more easily solved by using specialized grippers designed for specific types of flexible materials. One of the most challenging materials to grip and manipulate is textiles and their products.…”

Section: Introductionmentioning

confidence: 99%

Finite element modeling of grasping porous materials in robotics cells

Mykhailyshyn,

Fey,

Xiao

2023

Robotica

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Handling and manipulating flexible porous objects is one of the main challenges in robotics for household and industrial tasks. Improving the design of grippers for flexible objects of manipulation is an important stage in the development of this topic. This article proposes a method of modeling a gripper for porous objects using the finite element method. It identifies the main parameters of the model that will affect the grasping force and the permeability of porous objects. The power characteristics of the obtained gripper model for different supply pressures, with varying porosity of the manipulated objects, are determined. The obtained characteristics are then used to find the correspondence of channel length for three textile materials with different permeable properties. An experimental study of the lifting force is conducted, and a comparison is made with the obtained modeling data for the presented samples. Additionally, using the obtained simulation data, an analysis of the pressure distribution on the surface of the porous object of manipulation is performed. As a result, it is found that the gripping device must use a design with elements to stabilize the distribution of pressure in its chamber, which will increase the stability of the gripping process.

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“…For efficient processes, it would be preferable to start a production process from a stack of raw fabric plies, as this allows the cutting and preparation in bulk [4]. When using such a stack, the first and foremost task is to separate single sheets of fabric material from this stack for further handling and manipulation.…”

Section: Introduction and Related Workmentioning

confidence: 99%

Automated Stack Singulation for Technical Textiles Using Sensor Supervised Low Pressure Suction Grippers

Wirth,

Schwind,

Friedmann

et al. 2023

Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2022

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Automated handling of technical textiles poses major challenges on modern handling systems. Previous research has shown that using suction grippers is feasible for handling processes involving textiles. However, separating individual sheets of air-permeable materials from a stack using such grippers is a nontrivial task. This paper details an automated stack singulation process using low pressure suction grippers leveraging online data from differential pressure sensors to control the singulation process. Subsystems are analyzed to derive a governing model representation of the process. This model is deployed on a robotic test rig validating the process in experimental analysis. Using this approach, a controlled singulation process for stacked carbon fiber mats has been achieved with a success rate exceeding 99% showing the practicality of controlling the internal suction pressure for advanced handling processes using low pressure suction grippers. Further improvement could be achievable by incorporating and fusing multiple sensor principles.

show abstract

Sensory integrated fabric ply separation

Cited by 8 publications

References 16 publications

Intelligent Robotic Handling of Fabrics Towards Sewing

Intelligent Robotic Handling of Fabrics Towards Sewing

Finite element modeling of grasping porous materials in robotics cells

Automated Stack Singulation for Technical Textiles Using Sensor Supervised Low Pressure Suction Grippers

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