2015
DOI: 10.1007/s11740-015-0629-4
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Identification of thermal effects on the diameter deviation of inhomogeneous aluminum metal matrix composite workpieces when dry turning

Abstract: The use of dry cutting is associated with considerable thermal loads on the machine tool, the tool and the workpiece because of the missing heat convection through the cutting fluid. These thermal loads cause thermal expansions of the components. The accuracy of machining is thus decreased. In recent years, particularly the thermal expansions of the workpiece and the tool attained significance due to the increased demands on the machining accuracy. Aluminum metal matrix composites (Al-MMCs) show a poor machina… Show more

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Cited by 5 publications
(1 citation statement)
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“…The classic processing method for image point cloud cannot effectively recognize the jobs of complex shapes under micro environmental interferences [18][19][20][21][22][23]. For two-dimensional (2D) job images of different scales and poses, Gutt [24] constructed a 2D convolutional neural network (CNN) for the detection of weld jobs, and introduced a transform network capable of autonomous learning to adapt the CNN to the changing poses of the target job.…”
Section: Introductionmentioning
confidence: 99%
“…The classic processing method for image point cloud cannot effectively recognize the jobs of complex shapes under micro environmental interferences [18][19][20][21][22][23]. For two-dimensional (2D) job images of different scales and poses, Gutt [24] constructed a 2D convolutional neural network (CNN) for the detection of weld jobs, and introduced a transform network capable of autonomous learning to adapt the CNN to the changing poses of the target job.…”
Section: Introductionmentioning
confidence: 99%