2021
DOI: 10.1016/j.apor.2021.102559
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Numerical study to evaluate the important parameters affecting the hydrodynamic performance of manta ray's in flapping motion

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Cited by 9 publications
(5 citation statements)
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“…Flying in animals like hawkmoths (Gao et al, 2009; Liu, 2002; Liu et al, 1998; Nakata & Liu, 2012), dragonflies (Dong et al, 2010; C. Li & Dong, 2017; Liang & Sun, 2014; Vargas et al, 2008), large birds (Maeng et al, 2013; Beaumont et al, 2022), and bats (Viswanath et al, 2014) have all been characterized by CFD simulations. Aquatic gliding has been examined extensively with CFD modeling of animals (Marinho et al, 2011; Parson et al, 2011; Safari et al, 2021; Takagi et al, 2010; C. Y. Wu et al, 2021) and bioinspired robots (Zhang, 2014), but published CFD simulations of aerial gliding in wingless animals have been limited to flying snakes (Krishnan et al, 2014) and flying squirrels (X. Li et al, 2016; Zhao et al, 2019). Moreover, CFD remains a powerful yet underused tool for investigating how aerial maneuvers like jumping, falling, parachuting, and gliding, are controlled in wingless animals.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Flying in animals like hawkmoths (Gao et al, 2009; Liu, 2002; Liu et al, 1998; Nakata & Liu, 2012), dragonflies (Dong et al, 2010; C. Li & Dong, 2017; Liang & Sun, 2014; Vargas et al, 2008), large birds (Maeng et al, 2013; Beaumont et al, 2022), and bats (Viswanath et al, 2014) have all been characterized by CFD simulations. Aquatic gliding has been examined extensively with CFD modeling of animals (Marinho et al, 2011; Parson et al, 2011; Safari et al, 2021; Takagi et al, 2010; C. Y. Wu et al, 2021) and bioinspired robots (Zhang, 2014), but published CFD simulations of aerial gliding in wingless animals have been limited to flying snakes (Krishnan et al, 2014) and flying squirrels (X. Li et al, 2016; Zhao et al, 2019). Moreover, CFD remains a powerful yet underused tool for investigating how aerial maneuvers like jumping, falling, parachuting, and gliding, are controlled in wingless animals.…”
Section: Discussionmentioning
confidence: 99%
“…Li & Dong, 2017;Liang & Sun, 2014;Vargas et al, 2008), large birds (Maeng et al, 2013;Beaumont et al, 2022), and bats (Viswanath et al, 2014) have all been characterized by CFD simulations. Aquatic gliding has been examined extensively with CFD modeling of animals (Marinho et al, 2011;Parson et al, 2011;Safari et al, 2021;Takagi et al, 2010;C. Y. Wu et al, 2021) and bioinspired robots (Zhang, 2014), but published CFD simulations of aerial gliding in wingless animals have been limited to flying snakes (Krishnan et al, 2014) and flying squirrels (X.…”
Section: Cfdmentioning
confidence: 99%
“…The model of the manta ray under investigation is depicted in Figure 6, while Figure 7 presents the wake structure, and Figure 8 shows the pressure distribution on the ray's body. Additionally, Menzer et al [118] and Safari et al [119] expanded on the exploration of complex unsteady vortex structures generated by the flapping movements of batoids using numerical simulations. and wake structure of both the airfoil and Rhinoptera javanica.…”
Section: Biomimetic Batoid-like Propulsionmentioning
confidence: 99%
“…The model of the manta ray under investigation is depicted in Figure 6, while Figure 7 presents the wake structure, and Figure 8 shows the pressure distribution on the ray's body. Additionally, Menzer et al [118] and Safari et al [119] expanded on the exploration of complex unsteady vortex structures generated by the flapping movements of batoids using numerical simulations. In the context of biomimetic batoid modeling and mechanisms, Lee and Kwon [120] utilized the commercial software package ADINA to simulate the journey distance and speed of a ray, while Rayapureddi and Mitra [121] developed an IBM-FSI algorithm using OpenFOAM to address challenges associated with biologically inspired self-propelled batoid robotic devices in 3D hydrodynamic flow fields.…”
Section: Biomimetic Batoid-like Propulsionmentioning
confidence: 99%
“…Instead of a repetitive and time-consuming process, the proposed spatial captive motion could provide necessary information to determine all required coefficients in only one simulation. Safari et al [26] adopted the CFD tool to numerically simulate the complex unsteady vertical structure of flow due to the manta ray's flapping motion. In [27], hydrodynamic parameters of a mini-AUV were identified via CFD simulations.…”
Section: Introductionmentioning
confidence: 99%