The influence of the load on the behavior of the electromechanical variator

Ciupan, Cornel; Steopan, Mihai; Ciupan, Emilia

doi:10.1109/aqtr.2012.6237715

Cited by 2 publications

(5 citation statements)

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“…Moreover, it is used to fill machine structures to enhance the dynamic behavior of the components [3,4]. There have been attempts to utilize the material for frame structures as well, but polymer concrete frames show nearly twice the amount of deformation under the same load compared with cast iron frames [5]. This discrepancy contradicts the objectives of machine tool design to enable the production of increasingly accurate components.…”

Section: Introductionmentioning

confidence: 99%

Validation of the Manufacturing Methodology of Prestressed Fiber-Reinforced Polymer Concrete by the Variation of Process Parameters

Engert,

Werkle,

Wegner

et al. 2023

Materials

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Polymer concrete has proved to be advantageous in machine building for many years thanks to its excellent damping properties. Until now, its use was limited to machine beds due to its comparatively low tensile strength. Its use in moving structural components has not been possible until now. Recent research results have shown that this challenge can be met by integrating prestressed carbon fibers. Until now, the production of samples out of prestressed fiber-reinforced polymer concrete has been carried out according to fixed specifications. It is not yet clear whether these specifications are suitable to fully exploit the potential of the material. Samples manufactured to these specifications show at least a large scatter in bending stiffness. Within the scope of this paper, the existing manufacturing process is validated by the variation of process steps. Specifically, this involved the use of a shaker, variation of the dwell time in the mold, variation of the resin content, and the procedure for impregnating the fibers. The characterization of the samples showed that the scatter could only be reduced by increasing the dwell time. However, this leads to a decrease in bending stiffness and, thus, is not suitable for further improvement of the novel material.

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Section: Introductionmentioning

confidence: 99%

Validation of the Manufacturing Methodology of Prestressed Fiber-Reinforced Polymer Concrete by the Variation of Process Parameters

Engert,

Werkle,

Wegner

et al. 2023

Materials

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show abstract

“…Further research illustrated the difficulty of obtaining an effective neural model that can lead the effector with a precision that is appropriate to the application, and avoid the obstacle. There have been circumstances in which the neural model did not offer the coordinates that lead the effector beside the obstacle [3]. The validation of the models presented [3], [4] has been made based on sets of data that have not been used as training data; there has been completed no cross-validation.…”

Section: Introductionmentioning

confidence: 99%

“…In [4] there has been presented the main principle of a method of obstacle avoidance, by means of an erroneous instruction of the network. The experiments have been completed in a smaller part of the robots workspace (a cube with the side 10 cm).…”

Section: Introductionmentioning

confidence: 99%

“…Also, [3] shows a neural model for the kinematical analysis of six parallel robot. For reasons related to simplification, there has been considered the move of the effector in a cube with a side of 10 cm, without taking into account the variation of the position angles.…”

Section: Introductionmentioning

confidence: 99%

“…The program presented in [1], [2] was designed with the purpose of using neural computing in the modelling and the simulation of processes or activities. It is suitable for the study of any activity for which a three-layer perceptron neural network may serve as a model.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

ANN Method for Control of Robots to Avoid Obstacles

Ciupan

Lungu

Ciupan

2014

INT J COMPUT COMMUN

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The avoidance of obstacles placed in the workspace of the robot is a problem which makes controlling them more difficult. The known avoidance methods used for the robots control are based on bypass trajectory programming or on using the sensors that detect the position of the obstacle. This paper describes a method of training industrial robots in order for them to avoid certain obstacles in the workspace. The method is based on the modelling of the robot's kinematics by means of an artificial neural network and by including the neural model in the robot's controller. The neural model simulates the robot's inverse kinematics, and provides the joint coordinates, as referential values for the controller. The novelty of the method consists in the deliberately erroneous training of the network, so that, when programming a direct trajectory in the workspace, the robot avoids a known obstacle.

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The influence of the load on the behavior of the electromechanical variator

Cited by 2 publications

References 1 publication

Validation of the Manufacturing Methodology of Prestressed Fiber-Reinforced Polymer Concrete by the Variation of Process Parameters

Validation of the Manufacturing Methodology of Prestressed Fiber-Reinforced Polymer Concrete by the Variation of Process Parameters

ANN Method for Control of Robots to Avoid Obstacles

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