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Details

Autor(en) / Beteiligte
Titel
A novel method for competitive failure behavior and mechanical degradation online monitoring of laser additive work roll under multidimensional damage
Ist Teil von
  • Engineering failure analysis, 2024-03, Vol.157, p.107897, Article 107897
Ort / Verlag
Elsevier Ltd
Erscheinungsjahr
2024
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • •A novel apparatus was devised to simulate thermal fatigue/wear competitive degradation of remanufacturing work rolls in real hot rolling.•The competitive failure mechanism of the remanufacturing work roll at different conditions were conducted.•A monitoring system for online assessment of performance degradation of remanufactured work rolls was built. A novel test apparatus was designed and constructed to investigate the competitive failure and mechanical degradation online monitoring of laser additive remanufacturing work roll under multidimensional damage. Furthermore, a formula was established to calculate the equivalent test parameters for simulating real hot rolling load. The present study investigated the characteristic damage morphologies such as oxidation, wear and thermal fatigue that occurred in the remanufacturing work roll under varying temperatures. In addition, a thorough analysis of the competitive failure mechanism was also conducted. Based on the magnetic softening phenomenon due to decomposition of carbide and the precipitation of carbon during the degradation of high speed steel (HSS) cladding layer, a non-contact method for assessing the performance degradation of remanufacturing work rolls was developed using pulsed eddy current (PEC). The low frequency increment in the Hilbert marginal spectrum of PEC exhibited a negative linear correlation with the decrease in microhardness of the HSS cladding layer, which allowed for a quantitative evaluation of mechanical performance changes in remanufacturing work rolls.
Sprache
Englisch
Identifikatoren
ISSN: 1350-6307
eISSN: 1873-1961
DOI: 10.1016/j.engfailanal.2023.107897
Titel-ID: cdi_crossref_primary_10_1016_j_engfailanal_2023_107897

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