Mesoporosity, thermochemical and probabilistic failure analysis of fired locally sourced kaolinitic clay

Abstract

A dense and mesoporous ceramic from locally sourced Nigerian clay under fracturestrength test were produced and the reliability analysis of the fractured strength was conducted using a three-parameter Weibull probability distribution. The samples were prepared by addition of starch (0-20wt%), pressed at 60 MPa and fired at 1300°C. The as-received Nigerian clay, dense and porous ceramic were characterized using XRD, XRF, TGA/DTA, PSD, multi-point BET and FESEM. The fracture strength of the samples (33 each) was determined using a three-point bending test. The fracture strength data were analyzed using three-parameter Weibull probability distribution. From the characterization results, a mullite ceramic formed at a sintering temperature of 1300°C. The threshold strength for the three-parameter Weibull provides the strength below which the dense and the porous ceramic will not fail. The Weibull moduli of the ceramics at different starch compositions show that failure modes in these materials are not identical. The Weibull modulus increases with increase in percentage starch from 0% to 15%. However, the value decreases with 20% starch addition. Reliability analysis provides a detailed interpretation and assessment of the fracture strength of the porous ceramics.

Manufacturing runtime problem with an expedited fabrication rate, random failures, and scrap

“…A numerical illustration with sensitivity analysis showed how their system works. Extra works (Porteus, 1986;So & Tang, 1995;Grosfeld-Nir & Gerchak, 2002;Giri & Chakraborty, 2011;Abubakar et al, 2017;Chiu et al, 2017;Shakoor et al, 2017;Sher et al, 2017;Chiu et al, 2018a,b;Gan et al, 2018;Imbachi et al, 2018;Pearce et al, 2018) focused on fabrication/inventory systems with different features of nonconforming goods and their consequent treatments.…”

Mathematical modelling for a fabrication–inventory problem with scrap, an acceptable stock-out level, stochastic failures and a multi-shipment policy

“…Discussion and suggestion were also provided that touched on investment justification of product and process design, personnel training and directions for future study. Extra studies (Moinzadeh & Aggarwal, 1997;Jaber, 2006;Rivera-G omez et al, 2013;Abilash & Sivapragash, 2016;Jawla & Singh, 2016;Rakyta et al, 2016;Zahedi et al, 2016;Abubakar et al, 2017;Chiu et al, 2017;Khalili et al, 2017;Liu et al, 2017;MohanDas et al, 2017) have also been carried out to address diverse unreliable and imperfect features of fabrication systems.…”