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Erik J. Anderson

Researcher at Grove City College

Publications -  17
Citations -  1189

Erik J. Anderson is an academic researcher from Grove City College. The author has contributed to research in topics: Particle image velocimetry & Drag. The author has an hindex of 13, co-authored 17 publications receiving 1058 citations. Previous affiliations of Erik J. Anderson include Woods Hole Oceanographic Institution.

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Fish biorobotics: kinematics and hydrodynamics of self-propulsion

TL;DR: This paper discusses, using aquatic propulsion in fishes as a focal example, how using robotic models can lead to new insights in the study of aquatic propulsion, and uses two examples: pectoral fin function, and hydrodynamic interactions between dorsal and caudal fins.
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The boundary layer of swimming fish.

TL;DR: Inflected boundary layers, suggestive of incipient separation, were observed sporadically, but appeared to be stabilized at later phases of the undulatory cycle, which may be evidence of hydrodynamic sensing and response towards the optimization of swimming performance.
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Jet flow in steadily swimming adult squid

TL;DR: Digital particle imaging velocimetry was used to visualize the jet flow of adult long-finned squid Loligo pealei and suggested that at medium speeds squid enjoy an increased flexibility in the locomotive strategies they use to control their dynamic balance.
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Robotic Models for Studying Undulatory Locomotion in Fishes

TL;DR: In this paper, the authors used a robotic flapping foil apparatus that allows individual parameters such as oscillation frequency, body shape and body stiffness to be individually altered and forces measured on self-propelling flapping flexible foils that produce a wave-like motion very similar to that of freely swimming fishes.
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Disentangling the Functional Roles of Morphology and Motion in the Swimming of Fish

TL;DR: Experimental results from swimming eels, bluegill sunfish, and rainbow trout that demonstrate differences in the wakes and in swimming performance are presented, and both experimental and computational results indicate that anguilliform swimmers are more efficient at lower swimming speeds, while carangiform swimming are moreefficient at high speed.