{"title":"Tough, Flexible, Strong: Characterization of Soft-Soft Silicone Interfaces for Soft Robotics.","authors":"Charlotte M Folinus,Kaitlyn P Becker","doi":"10.1177/21695172261424021","DOIUrl":null,"url":null,"abstract":"The soft robotics field is moving toward increasingly complex and integrated systems, which will contain interfaces between soft components and other soft, compliant, and/or rigid components. Although many soft interfaces leverage adhesion, soft robot designers currently have limited information for selecting appropriate materials and fabrication techniques. Through experimental testing, this article characterizes how the substrate material and bonding process influence the performance of soft-soft silicone [i.e., polydimethylsiloxane-based interfaces], provides a framework for approaching this analysis, and contextualizes the data to provide initial insights into material selection for soft-soft interfaces by showing how the data could be used to guide design decisions. Specifically, this article characterizes five addition-curing silicone rubbers and five bonding processes, and it defines performance using quantitative metrics relating to desirable qualitative behaviors: toughness (adhesive fracture energy), flexibility (maximum localized strain during peeling), and strength (ratio of initial-to-average force and magnitude of initial peak peel force). Together, the substrate material and bonding method jointly determine the failure behavior of soft-soft silicone interfaces, influencing both the achievable performance (toughness, strength, flexibility) and characteristic failure modes (adhesive, cohesive, mixed-mode). Understanding characteristic failure modes can inform design strategies to mitigate interfacial failure, enabling higher-capability soft robots with improved operating loads and component lifetimes.","PeriodicalId":48685,"journal":{"name":"Soft Robotics","volume":"29 1","pages":"21695172261424021"},"PeriodicalIF":5.5000,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soft Robotics","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1177/21695172261424021","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 0
Abstract
The soft robotics field is moving toward increasingly complex and integrated systems, which will contain interfaces between soft components and other soft, compliant, and/or rigid components. Although many soft interfaces leverage adhesion, soft robot designers currently have limited information for selecting appropriate materials and fabrication techniques. Through experimental testing, this article characterizes how the substrate material and bonding process influence the performance of soft-soft silicone [i.e., polydimethylsiloxane-based interfaces], provides a framework for approaching this analysis, and contextualizes the data to provide initial insights into material selection for soft-soft interfaces by showing how the data could be used to guide design decisions. Specifically, this article characterizes five addition-curing silicone rubbers and five bonding processes, and it defines performance using quantitative metrics relating to desirable qualitative behaviors: toughness (adhesive fracture energy), flexibility (maximum localized strain during peeling), and strength (ratio of initial-to-average force and magnitude of initial peak peel force). Together, the substrate material and bonding method jointly determine the failure behavior of soft-soft silicone interfaces, influencing both the achievable performance (toughness, strength, flexibility) and characteristic failure modes (adhesive, cohesive, mixed-mode). Understanding characteristic failure modes can inform design strategies to mitigate interfacial failure, enabling higher-capability soft robots with improved operating loads and component lifetimes.
期刊介绍:
Soft Robotics (SoRo) stands as a premier robotics journal, showcasing top-tier, peer-reviewed research on the forefront of soft and deformable robotics. Encompassing flexible electronics, materials science, computer science, and biomechanics, it pioneers breakthroughs in robotic technology capable of safe interaction with living systems and navigating complex environments, natural or human-made.
With a multidisciplinary approach, SoRo integrates advancements in biomedical engineering, biomechanics, mathematical modeling, biopolymer chemistry, computer science, and tissue engineering, offering comprehensive insights into constructing adaptable devices that can undergo significant changes in shape and size. This transformative technology finds critical applications in surgery, assistive healthcare devices, emergency search and rescue, space instrument repair, mine detection, and beyond.