Analysis and optimization of robotized grinding of Titanium high pressure compressor blades

DOIResolve DOI: http://doi.org/10.1115/IMECE2016-67064
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TypeArticle
Proceedings titleASME 2016 International Mechanical Engineering Congress and Exposition, volume 2: Advanced Manufacturing
ConferenceASME 2016 International Mechanical Engineering Congress and Exposition, November 11, 2016, Phoenix, Arizona, USA
ISBN978-0-7918-5052-7
PagesV002T02A012
AbstractAn analysis for a robotized grinding process of aerospace Titanium high pressure compressor blades was performed. In this process, the blade was grabbed on the robotic arm. A Scotch-Brite grinding wheel, on a pneumatic actuator, was used to grind the edges of the blades. The objective of this research work was to identify the major factors that influence the accuracy of the process and the final part quality. This objective was achieved by analyzing the dynamic characteristics of the wheel grabbed on the motor as well as analyzing the dynamic characteristics of the blade grabbed on the robotic arm. The frequency response functions (FRF) were identified at different robot configurations and positions. In addition, the vibrations of the various system components during the grinding process were monitored and analyzed to determine the effect of the speed on the relative vibrations between the workpiece and the wheel. Considering the dynamics of the wheel and the motor, rotational speed ranges were recommended. It was found that the vibrations of the grinding process were higher at two ranges: The first corresponds to the first natural frequency of the robot and the second corresponds to the first natural frequency of the wheel and the second natural frequency of the robot. By avoiding these ranges, part quality within the specified tolerances was obtained.
Publication date
PublisherASME
LanguageEnglish
AffiliationAerospace; National Research Council Canada
Peer reviewedYes
NPARC number23001463
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Record identifiera0763ffd-46b6-4a04-9e5e-9ca84e5a839a
Record created2017-02-14
Record modified2017-02-14
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