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Author Leiva, V.; Ruggeri, F.; Saulo, H.; Vivanco, J.F. pdf  doi
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  Title A methodology based on the Birnbaum-Saunders distribution for reliability analysis applied to nano-materials Type
  Year 2017 Publication Reliability Engineering & System Safety Abbreviated Journal Reliab. Eng. Syst. Saf.  
  Volume 157 Issue Pages 192-201  
  Keywords Bayesian analysis; Hardness data; Markov chain Monte Carlo method; R software  
  Abstract The Birnbaum-Saunders distribution has been widely studied and applied to reliability studies. This paper proposes a novel use of this distribution to analyze the effect on hardness, a material mechanical property, when incorporating nano-particles inside a polymeric bone cement. A plain variety and two modified types of mesoporous silica nano-particles are considered. In biomaterials, one can study the effect of nano-particles on mechanical response reliability. Experimental data collected by the authors from a micro-indentation test about hardness of a commercially available polymeric bone cement are analyzed. Hardness is modeled with the Birnbaum-Saunders distribution and Bayesian inference is performed to derive a methodology, which allows us to evaluate the effect of using nano-particles at different loadings by the R software. (C) 2016 Elsevier Ltd. All rights reserved.  
  Address [Leiva, Victor; Vivanco, Juan F.] Univ Adolfo Ibanez, Fac Sci & Engn, Vina del Mar, Chile, Email: victorleivictorleivasanchez@gmail.com  
  Corporate Author Thesis  
  Publisher Elsevier Sci Ltd Place of Publication Editor  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0951-8320 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000387195700017 Approved  
  Call Number UAI @ eduardo.moreno @ Serial 676  
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Author Rendon, R.C.; Salvo, C.; Sepulveda, E.; Arulraj, A.; Sanhueza, F.; Rodriguez, J.J.; Mangalaraja, R.V. doi  openurl
  Title Evaluation of Structural and Functional Properties of La0.6Sr0.4MnO3 Perovskite Prepared by the Fast Solution Combustion Approach Type
  Year 2022 Publication Catalysts Abbreviated Journal Catalysts  
  Volume 12 Issue 12 Pages 1636  
  Keywords LSM; fast solution combustion synthesis; microstructure; hardness; resistivity  
  Abstract A series of La0.6Sr0.4MnO3 (LSM) perovskite was made using the rapid solution combustion method, which was calcined by varying the temperatures. In order to determine how the calcination temperature affected the nanopowders produced and calcined at various temperatures, their microstructural, morphological, compositional, optical, and electrical properties were analyzed using corresponding characterization tools. The XRD results showed the coexistence of the rhombohedral polymorphs R-3c and Pm-3m for the perovskite phase under a calcination temperature of 1400 degrees C, which were eliminated with increased calcination temperature. The average grain size was found to increase with increasing calcination temperature. The EDS analysis showed better agreement of the stoichiometry with the theoretical composition. The apparent porosity decreased with increasing temperature due to the coalescence of sintering pores. The sample obtained after calcination at 1500 degrees C showed 10.3% porosity. The hardness also improved with increasing calcination temperature and reached a maximum value of 0.4 GPa, which matched the bulk density. A similar trend was observed in the resistivity studies as a function of temperature, and all the samples exhibited a low resistivity of similar to 1.4 Omega.cm in the temperature range of 500-600 degrees C. The optical characterization showed broad absorption at 560-660 nm and bandwidth values between 3.70 and 3.95 eV, according to the applied heat treatment.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2073-4344 ISBN Medium  
  Area Expedition Conference  
  Notes WOS:000902326100001 Approved  
  Call Number UAI @ alexi.delcanto @ Serial 1703  
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