Influence of Polyvinyl Alcohol and Carboxymethyl Cellulose on the Reliability of Extruded Ceramic Body: Application of Mixture Design Method in Fabricating Reliable Ceramic Raschig Rings

Abstract

The present investigation is a follow-up of study on the extrusion of ceramic Raschig ring as a function of composition. The pastes were formulated using typical kaolin, polyvinyl alcohol, and carboxymethyl cellulose normally used in industrial scale. The effect of binders on the mechanical behavior of rings was studied from view point of mixture design algorithm to optimize the ceramic body composition. This method was shown to yield valuable information on the effect of binders on mechanical properties. The study was concluded that the reliability of ring can be effectively promoted by the addition of 0.25% polyvinyl alcohol and 0.75% carboxymethyl cellulose.

New supramolecular metallo-terpyridine carboxymethyl cellulose derivatives with antimicrobial properties

“…Attachment of the carboxymethyl moieties occurs predominantly at the C-2 and C-6 glucose positions with a preference for C-6 vs. C-2 (Heinze & Pfeiffer, 1999). Its water solubility, rheological properties, non-toxicity, and polyelectrolyte nature favor its use in many diverse applications, such as food additives (Parvar, Tehrani, Razavi, & Koocheki, 2013), pharmaceutics (Chukwumezie, Wojcik, Malak, & Adeyeye, 2002), bone regeneration (Jiang, Li, Zhang, & Wang, 2009), adhesives (Kawamoto, 2003), textiles (Krizova & Wiener, 2013), pesticides (Nisar, Kumar, Shakil, Pankaj, & Parmar, 2009), detergents (Verraest, Peters, van Bekkum, & van Rosmalen, 1996), paper (Li, Liu, Xu, & Xu, 2010;Watanabe, Gondo, & Kitao, 2004), and ceramic binders (Khosrowshahi & Salem, 2011).…”

The optimal formulation of recycled polypropylene/rubberwood flour composites from experiments with mixture design

“…A D-optimal design can considerably reduce the number of experiments needed for scientific and technical information on the composition effects. It allows restricting the ranges of component fractions, and within this range of formulations helps fit the mathematical models, used to improve the characteristics of final goods [11,12]. Moreover, this method is appropriate for non-linear models [13].…”

“…A D-optimal mixture experimental design is a special type of statistical approach to experimentally find the individual effects and interactions of components in a mixture, and the fitted models can be used to find the optimal formulation of a composite material [11]. A D-optimal design can considerably reduce the number of experiments needed for scientific and technical information on the composition effects.…”

Minimizing the creep of recycled polypropylene/rubberwood flour composites with mixture design experiments

“…22 A D-optimal mixture experimental design allows to fit models that can be used to optimize the formulation of a composite material. 23 It also allows placing restrictions on the formulations, such as lower or upper limits on the fractions of some components. 23,24 Mixture designs have recently been applied in food and pharmaceutical industries to find optimal formulations because they appear efficient in providing useful models with a comparatively small number of experiments.…”