Estimation of Flank Wear in Turning of Nimonic C263 Super Alloy Based on Novel MSER Algorithm and Deep Patten Network
Source abstract
Abstract
In this article, a novel technique has been developed to measure the flank wear in turning nickel based super alloy Nimonic C263. The MSER (maximally stable extremal regions) and deep pattern network (DPN) has been applied on the worn out insert for the measurement of flank wear. The combination of MSER algorithm along with DPN is termed out as FlankNet in this article. The flank wear measured by tool maker’s microscope was compared with the values measured by FlankNet and the average percentage error of 3.03% was noted. As the Nimonic C263 is highly difficult-to-machine materials owing to high work hardening tendency and lower thermal conductivity, rapid tool wear was found and it would affect the dimensional and geometrical accuracy of machined parts. Therefore, the influences of the machining parameters on tool wear were also studied. The experimental trails were conducted based on L9 orthogonal array.
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Research context
OpenAlex topics: Advanced machining processes and optimization · Advanced Measurement and Metrology Techniques · Advanced Surface Polishing Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (31)
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