2019
DOI: 10.1007/s00170-019-03546-z
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Adaptive speed control for waterjet milling in pocket corners

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Cited by 10 publications
(5 citation statements)
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References 17 publications
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“…~0.5, and moreover, highly rounded corners will result. This agrees with the results of Bui et al who showed a speed bump type defect on the corners of flat pockets [106]. Various path strategies have been developed to overcome similar issues when performing AWJM around corners to compensate for the non-uniform nozzle kinematics [92].…”
Section: Unmasked Awjm Of Molds In Ss316 Containing Non-intersecting ...supporting
confidence: 90%
“…~0.5, and moreover, highly rounded corners will result. This agrees with the results of Bui et al who showed a speed bump type defect on the corners of flat pockets [106]. Various path strategies have been developed to overcome similar issues when performing AWJM around corners to compensate for the non-uniform nozzle kinematics [92].…”
Section: Unmasked Awjm Of Molds In Ss316 Containing Non-intersecting ...supporting
confidence: 90%
“…All input parameters are selected as it was done in previous works [10,13] which play the role of the setting parameters in a given machine configuration. In addition, the results from previous works [10,13,14] has demonstrated the efficiency of the model to predict the geometrical characteristics of the kerf profile of both the elementary pass and pocket for various values of traverse speed. The present work only consider the influence of the jet inclination angle (α) on the milling process.…”
Section: Methodsmentioning
confidence: 85%
“…The presently used relationships between the information signal and tool wear are phenomenological, frequently without quantitative substantiation. The research issues have been investigated in the context of machine learning for predictive maintenance in milling [35], development of a new algorithm for online tool wear control [36], development of an innovative, intelligent machine tool [37], adaptive speed control for waterjet milling [38], and model-free adaptive predictive control for CNC [39]. Therefore, at the present level of the development of material processing by cutting, it is necessary to determine the degree of correlation between the sound generated during the cutting process, i.e., one of the promising information signals, the wear of the cutter, and the workpiece surface roughness.…”
Section: Adaptive Control Methodsmentioning
confidence: 99%