首页|Moscow Aviation Institute (National Research University) Researcher Publishes New Study Findings on Robotics (Influence of orientation of layers of a multilayer composite material on the stressed state of a robotic structure under dynamic ...)

Moscow Aviation Institute (National Research University) Researcher Publishes New Study Findings on Robotics (Influence of orientation of layers of a multilayer composite material on the stressed state of a robotic structure under dynamic ...)

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Investigators publish new report on robotics. According to news reporting out of Moscow Aviation Institute (National Research University) by NewsRx editors, research stated, “The paper developed a method for calculating the stress-strain state of a robotic structure made of composite material under dynamic action. The bearing capacity of multilayer composite materials is affected by the location of the warp threads of the composite material.” Our news reporters obtained a quote from the research from Moscow Aviation Institute (National Research University): “By changing the orientation of the layers, it is possible to change the bearing capacity of the composite material. In the present work, such a study was carried out for a robotic system made of a composite material under the action of a dynamic operational load. An eight-layer composite material with different layer orientations was considered. Carbon fiber was used as the basis. As a robotic system stand was considered, designed to simulate flight characteristics in laboratory conditions. The simulation of the stand was carried out. The bench was approximated by finite elements. The convergence of the results of the finite element model of the stand was checked by condensing the finite element mesh and comparison the results obtained. Robotic systems are equipped with elements that move the channels: bearings, gear rims, gearboxes, motors. In the present study they were replaced in the finite element model with a system of bar elements of identical stiffness.”

Moscow Aviation Institute (National Research University)Emerging TechnologiesMachine LearningRoboticsRobots

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.8)