Error compensation in flexible end milling of tubular geometries

Bera, Tufan Chandra; Desai, K. A.; Rao, P. Venkateswara

doi:10.1016/j.jmatprotec.2010.08.013

Cited by 48 publications

(23 citation statements)

References 25 publications

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“…Final execution therefore aims to remove any remaining excess material. Iterative compensation is backed up by several studies to manage inherent measurement error [63][64][65][66][67][68]. …”

Section: Program Correctionmentioning

confidence: 99%

Development and testing of an error compensation algorithm for photogrammetry assisted robotic machining

2016

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Section: Program Correctionmentioning

confidence: 99%

Development and testing of an error compensation algorithm for photogrammetry assisted robotic machining

2016

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“…It was demonstrated that the variation of cutting force is significantly different in machining of circular geometries compared to straight workpieces. Bera et al (2011) analyzed variation of surface error in machining of tubular geometries and compensated the same using tool path modification scheme. Both these studies are mainly focused on prediction of cutting force and deflection induced surface error in machining of circular geometries.…”

Section: Previous Workmentioning

confidence: 99%

On cutter deflection surface errors in peripheral milling

Desai

Rao

2012

Journal of Materials Processing Technology

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“…1 This kind of components is characterized by multi-variety and small batch. The cost of traditional Computer Numeric Control (CNC) machining is high and difficult to expand into new objects, which makes it not suitable for these components.…”

Section: Introductionmentioning

confidence: 99%

Modeling of the working accuracy for robotic belt grinding system for turbine blades

Zhang

et al. 2017

Advances in Mechanical Engineering

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This article presents a calibration model for the whole grinding system to enhance its accuracy, because of the problem of low accuracy of the robotic belt grinding system which is due to the low absolute positioning accuracy of the robot as well as the deformations of the turbine blades and grinding tool under the grinding force. First, the transition matrix of system working accuracy was established and the corresponding evaluation criterion was put forward for the systemic features. Then the deformation of the turbine blades and grinding tool were analyzed and modeled, respectively, and the model of the absolute positioning accuracy of the robot was established based on the geometrical error as well as the compliance error. Finally, based on the models above, a method of error compensation was presented and the flowchart was given. The experiments show that the absolute positioning accuracy of the robot (the average value reduces from 1.186 to 0.154 mm) and the accuracy of the whole grinding system (the average grinding force is 20.4 N which is very close to the predetermined 20 N) have been effectively improved, which prove that the method can help to expand the application scope of the robotic system.

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Error compensation in flexible end milling of tubular geometries

Cited by 48 publications

References 25 publications

Development and testing of an error compensation algorithm for photogrammetry assisted robotic machining

Development and testing of an error compensation algorithm for photogrammetry assisted robotic machining

On cutter deflection surface errors in peripheral milling

Modeling of the working accuracy for robotic belt grinding system for turbine blades

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