Fluid-structure interaction study of spider’s hair flow-sensing system

Guarino, Roberto; Greco, Gabriele H.; Mazzolai, Barbara; Pugno, Nicola

doi:10.1016/j.matpr.2018.11.104

Cited by 7 publications

(7 citation statements)

References 18 publications

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“…In summary, as elucidated by Fig. 2 , the variability of silk fibres’ mechanical properties is high (10% to 70%), regardless of the sample size (up to 100), in agreement with what is commonly found for biological materials 69 – 72 . This suggests that due to the limitation of the tensile testing technique and the inherent residual stresses on silk, the presence of secondary structure differences in these fibres as well as the presence of handling-induced damages cannot be eliminated.…”

Section: Resultssupporting

confidence: 88%

Artificial and natural silk materials have high mechanical property variability regardless of sample size

Greco

Mirbaha

Schmuck

et al. 2022

Sci Rep

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Silk fibres attract great interest in materials science for their biological and mechanical properties. Hitherto, the mechanical properties of the silk fibres have been explored mainly by tensile tests, which provide information on their strength, Young’s modulus, strain at break and toughness modulus. Several hypotheses have been based on these data, but the intrinsic and often overlooked variability of natural and artificial silk fibres makes it challenging to identify trends and correlations. In this work, we determined the mechanical properties of Bombyx mori cocoon and degummed silk, native spider silk, and artificial spider silk, and compared them with classical commercial carbon fibres using large sample sizes (from 10 to 100 fibres, in total 200 specimens per fibre type). The results confirm a substantial variability of the mechanical properties of silk fibres compared to commercial carbon fibres, as the relative standard deviation for strength and strain at break is 10–50%. Moreover, the variability does not decrease significantly when the number of tested fibres is increased, which was surprising considering the low variability frequently reported for silk fibres in the literature. Based on this, we prove that tensile testing of 10 fibres per type is representative of a silk fibre population. Finally, we show that the ideal shape of the stress–strain curve for spider silk, characterized by a pronounced exponential stiffening regime, occurs in only 25% of all tested spider silk fibres.

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Section: Resultssupporting

confidence: 88%

Artificial and natural silk materials have high mechanical property variability regardless of sample size

Greco

Mirbaha

Schmuck

et al. 2022

Sci Rep

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“…139 It seems, in particular, that the distance at which two structures do not interact is about 20-50 hair diameters, which is commonly found in nature. 139,140 Spiders are also equipped with strain sensors (lyriform organs), which are slits that occur isolated or in groups (Figure 5E), with a remarkable sensory threshold in terms of displacement (1.4-30 nm) and corresponding force stimulus (0.01 mN). Moreover, many of such organs have an exponential stiffening response to stimuli, which makes them suitable to detect a wide range of vibration amplitudes and frequencies.…”

Section: Sensing and Predationmentioning

confidence: 99%

Optimized structures for vibration attenuation and sound control in nature: A review

Bosia

Poggetto

Gliozzi

et al. 2022

Matter

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“…By processing many different spatially distributed measurements from the touch sensitive hairs, spiders are more equipped to detect and localize prey [ 23 , 24 ]. These hairs also allow them to sense air flow, allowing them to localize airborne prey and estimate ego-motion [ 25 , 26 , 27 ]. A third example of particular interest is the insect visuomotor system, which enables fast flight and obstacle avoidance.…”

Section: Introductionmentioning

confidence: 99%

Lidar-Based Navigation of Subterranean Environments Using Bio-Inspired Wide-Field Integration of Nearness

Ohradzansky

Humbert

2022

Sensors

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Navigating unknown environments is an ongoing challenge in robotics. Processing large amounts of sensor data to maintain localization, maps of the environment, and sensible paths can result in high compute loads and lower maximum vehicle speeds. This paper presents a bio-inspired algorithm for efficiently processing depth measurements to achieve fast navigation of unknown subterranean environments. Animals developed efficient sensorimotor convergence approaches, allowing for rapid processing of large numbers of spatially distributed measurements into signals relevant for different behavioral responses necessary to their survival. Using a spatial inner-product to model this sensorimotor convergence principle, environmentally relative states critical to navigation are extracted from spatially distributed depth measurements using derived weighting functions. These states are then applied as feedback to control a simulated quadrotor platform, enabling autonomous navigation in subterranean environments. The resulting outer-loop velocity controller is demonstrated in both a generalized subterranean environment, represented by an infinite cylinder, and nongeneralized environments like tunnels and caves.

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Fluid-structure interaction study of spider’s hair flow-sensing system

Cited by 7 publications

References 18 publications

Artificial and natural silk materials have high mechanical property variability regardless of sample size

Artificial and natural silk materials have high mechanical property variability regardless of sample size

Optimized structures for vibration attenuation and sound control in nature: A review

Lidar-Based Navigation of Subterranean Environments Using Bio-Inspired Wide-Field Integration of Nearness

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