Matches in SemOpenAlex for { <https://semopenalex.org/work/W2034606844> ?p ?o ?g. }
- W2034606844 endingPage "1108" @default.
- W2034606844 startingPage "1091" @default.
- W2034606844 abstract "The paper reports on research which attempts to correlate the quality of the machined surface after broaching and the output signals obtained from multiple sensors, namely acoustic emission, vibration, and cutting forces. The quality of the machined surface was estimated in terms of geometrical accuracy, burr formation, chatter marks and surface anomalies. Cutting conditions were varied based on an orthogonal array with cutting speed, coolant conditions, and tool settings as factors. Each orthogonal array was repeated at three levels of the tool wear. The results show that the cutting force signals are sensitive enough to detect the geometrical deviation of the machined profile, burr formation and to a lesser extent the chatter marks. The vibration signals were found sensitive to detect the chatter marks while the acoustic emission signal proved to be efficient for the detection of small surface anomalies such as pluckings, laps, and smeared material. However, up to now, no clear distinction between the different types of the surface anomalies could be made using the analysis of the acoustic emission signal. Time and frequency domain analysis of the output signals were carried out in order to develop appropriate techniques for qualitative/quantitative evaluation of the machined surface quality. It was found that each sensory signal is rather limited to a narrow field of application where certain surface features are detectable. The limitations of the employed sensory signals/analysis methodologies used to assess the workpiece surface quality, and their applicability in the industrial machining conditions are also discussed." @default.
- W2034606844 created "2016-06-24" @default.
- W2034606844 creator A5015263836 @default.
- W2034606844 creator A5049603757 @default.
- W2034606844 creator A5057358681 @default.
- W2034606844 creator A5087000571 @default.
- W2034606844 date "2004-08-01" @default.
- W2034606844 modified "2023-10-16" @default.
- W2034606844 title "Process monitoring to assist the workpiece surface quality in machining" @default.
- W2034606844 cites W1970206294 @default.
- W2034606844 cites W1972604784 @default.
- W2034606844 cites W1973263152 @default.
- W2034606844 cites W1973358368 @default.
- W2034606844 cites W1977594236 @default.
- W2034606844 cites W1982758166 @default.
- W2034606844 cites W1986716823 @default.
- W2034606844 cites W1988769264 @default.
- W2034606844 cites W1991175162 @default.
- W2034606844 cites W1995436689 @default.
- W2034606844 cites W2014853844 @default.
- W2034606844 cites W2015440191 @default.
- W2034606844 cites W2019581788 @default.
- W2034606844 cites W2021669788 @default.
- W2034606844 cites W2025031481 @default.
- W2034606844 cites W2027125227 @default.
- W2034606844 cites W2028423090 @default.
- W2034606844 cites W2029247814 @default.
- W2034606844 cites W2029596658 @default.
- W2034606844 cites W2037924847 @default.
- W2034606844 cites W2038162825 @default.
- W2034606844 cites W2043874876 @default.
- W2034606844 cites W2050186864 @default.
- W2034606844 cites W2050988222 @default.
- W2034606844 cites W2056311949 @default.
- W2034606844 cites W2060661134 @default.
- W2034606844 cites W2071508038 @default.
- W2034606844 cites W2075468517 @default.
- W2034606844 cites W2077341607 @default.
- W2034606844 cites W2077669940 @default.
- W2034606844 cites W2078818338 @default.
- W2034606844 cites W2089675339 @default.
- W2034606844 cites W2093885876 @default.
- W2034606844 cites W2127146358 @default.
- W2034606844 cites W2141663819 @default.
- W2034606844 cites W2163652502 @default.
- W2034606844 cites W2312965153 @default.
- W2034606844 doi "https://doi.org/10.1016/j.ijmachtools.2004.02.020" @default.
- W2034606844 hasPublicationYear "2004" @default.
- W2034606844 type Work @default.
- W2034606844 sameAs 2034606844 @default.
- W2034606844 citedByCount "98" @default.
- W2034606844 countsByYear W20346068442012 @default.
- W2034606844 countsByYear W20346068442013 @default.
- W2034606844 countsByYear W20346068442014 @default.
- W2034606844 countsByYear W20346068442015 @default.
- W2034606844 countsByYear W20346068442016 @default.
- W2034606844 countsByYear W20346068442017 @default.
- W2034606844 countsByYear W20346068442018 @default.
- W2034606844 countsByYear W20346068442019 @default.
- W2034606844 countsByYear W20346068442020 @default.
- W2034606844 countsByYear W20346068442021 @default.
- W2034606844 countsByYear W20346068442022 @default.
- W2034606844 countsByYear W20346068442023 @default.
- W2034606844 crossrefType "journal-article" @default.
- W2034606844 hasAuthorship W2034606844A5015263836 @default.
- W2034606844 hasAuthorship W2034606844A5049603757 @default.
- W2034606844 hasAuthorship W2034606844A5057358681 @default.
- W2034606844 hasAuthorship W2034606844A5087000571 @default.
- W2034606844 hasConcept C103824480 @default.
- W2034606844 hasConcept C111919701 @default.
- W2034606844 hasConcept C121332964 @default.
- W2034606844 hasConcept C127413603 @default.
- W2034606844 hasConcept C174598085 @default.
- W2034606844 hasConcept C198394728 @default.
- W2034606844 hasConcept C199360897 @default.
- W2034606844 hasConcept C24890656 @default.
- W2034606844 hasConcept C2524010 @default.
- W2034606844 hasConcept C2776450708 @default.
- W2034606844 hasConcept C2776799497 @default.
- W2034606844 hasConcept C2779530757 @default.
- W2034606844 hasConcept C2779843651 @default.
- W2034606844 hasConcept C2780383046 @default.
- W2034606844 hasConcept C31972630 @default.
- W2034606844 hasConcept C33923547 @default.
- W2034606844 hasConcept C41008148 @default.
- W2034606844 hasConcept C523214423 @default.
- W2034606844 hasConcept C62520636 @default.
- W2034606844 hasConcept C78519656 @default.
- W2034606844 hasConcept C83604417 @default.
- W2034606844 hasConcept C98045186 @default.
- W2034606844 hasConceptScore W2034606844C103824480 @default.
- W2034606844 hasConceptScore W2034606844C111919701 @default.
- W2034606844 hasConceptScore W2034606844C121332964 @default.
- W2034606844 hasConceptScore W2034606844C127413603 @default.
- W2034606844 hasConceptScore W2034606844C174598085 @default.
- W2034606844 hasConceptScore W2034606844C198394728 @default.
- W2034606844 hasConceptScore W2034606844C199360897 @default.
- W2034606844 hasConceptScore W2034606844C24890656 @default.