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Fabric and textile materials are widely used in many industrial applications, especially in automotive, aviation, and consumer goods. Currently, there is a lack of automatic solutions for rapid and effective fabric handling operations that can be expanded to various applications, causing economic loss, workplace safety issues, and process bottlenecks. As a bio-inspired novel technology, soft robotic grippers provide new opportunities for the automation of fabric handling tasks. In this research, an elastomer-based tendon-actuated soft gripper for fabric pick and place tasks is developed through a model-based design approach. Based on finite element analysis, the gripper design is simulated, modified, and validated. Multiple design variables and their impacts are studied. Detailed motion patterns of the underactuated structure are obtained. After the design is established, a prototype is fabricated trough additive manufacturing and overmolding processes to physically test the functionality of the gripper and further validate the simulation results.
Keywords
Soft Robotics, Fabric Material Handling, Model-Based Design, Finite Element Analysis
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A new preprint design is coming!
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research Article
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 15 Feb, 2021
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Mechanical Engineering
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Fabric and textile materials are widely used in many industrial applications, especially in automotive, aviation, and consumer goods. Currently, there is a lack of automatic solutions for rapid and effective fabric handling operations that can be expanded to various applications, causing economic loss, workplace safety issues, and process bottlenecks. As a bio-inspired novel technology, soft robotic grippers provide new opportunities for the automation of fabric handling tasks. In this research, an elastomer-based tendon-actuated soft gripper for fabric pick and place tasks is developed through a model-based design approach. Based on finite element analysis, the gripper design is simulated, modified, and validated. Multiple design variables and their impacts are studied. Detailed motion patterns of the underactuated structure are obtained. After the design is established, a prototype is fabricated trough additive manufacturing and overmolding processes to physically test the functionality of the gripper and further validate the simulation results.
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Figure 28
Figure 29
Figure 30
Figure 31
Figure 32
Figure 33
Figure 34
Figure 35
The full text of this article is available to read as a PDF.
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