Prediction of Wear Characteristics of AA2219-Gr Matrix Composites Using GRNN and Taguchi-Based Approach
Sign Up to like & getrecommendations! Published in 2020 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-020-04817-8
Abstract: Aluminium matrix composites are widely used in many applications due to its numerous advantages. Experimental investigation of wear characteristics and prediction of wear is the order of the day. The present study examines the aluminium… read more here.
Keywords: characteristics aa2219; prediction wear; matrix composites; wear characteristics ... See more keywords
Evaluation and neural network prediction of the wear behaviour of SiC microparticle-filled epoxy resins
Sign Up to like & getrecommendations! Published in 2021 at "Journal of The Brazilian Society of Mechanical Sciences and Engineering"
DOI: 10.1007/s40430-021-02987-6
Abstract: One of the main advantageous characteristics of thermosetting resins, which enable to apply them as engineering plastics and as matrices for composite materials, is the possibility of optimising their properties in different ways. This work… read more here.
Keywords: neural network; evaluation neural; wear behaviour; network prediction ... See more keywords
Prediction of wear loss quantities of ferro-alloy coating using different machine learning algorithms
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DOI: 10.1007/s40544-018-0249-z
Abstract: In this study, experimental wear losses under different loads and sliding distances of AISI 1020 steel surfaces coated with (wt.%) 50FeCrC-20FeW-30FeB and 70FeCrC-30FeB powder mixtures by plasma transfer arc welding were determined. The dataset comprised… read more here.
Keywords: loss quantities; quantities ferro; machine; wear loss ... See more keywords
Characterization of wear and prediction of wear zone locations on the rake face using Mamdani fuzzy inference system
Sign Up to like & getrecommendations! Published in 2018 at "Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture"
DOI: 10.1177/0954405415624632
Abstract: In order to improve the performance of the cutting tool, third-generation tools with multi-layered nanocoatings on the rake face are used. During machining, the chip–tool interactions depict that although the tool wear on the rake… read more here.
Keywords: prediction wear; rake face; mamdani fuzzy; fuzzy inference ... See more keywords