Hosseini, S.A., Niaei, A., Salari, D. and Nabavi, S.R. (2014) Modeling and Optimization of Combustion Process of 2-Propanol over Perovskite-Type LaMnyCo1-yO3 Nanocatalysts by an Unreplicated Experimental Design with Mixture-Process Variables and Genetic Algorithm Methodology. Journal of the Taiwan Institute of Chemical Engineers, 45, 85-91.
http://dx.doi.org/10.1016/j.jtice.2013.04.010

has been cited by the following article:

• TITLE: Optimization of Expanded Polystyrene Lightweight Aggregate in Pre-Cast Concrete Blocks by a Completely Random Experimental Design (CRED) with Mixture and Process Variables

  AUTHORS: Raimundo Kennedy Vieira, Raimundo Pereira de Vasconcelos, Douglas Marangoni, Adalena Kennedy Vieira

  KEYWORDS: Experimental Design, CRED, Polymerized Concrete

  JOURNAL NAME: Open Journal of Statistics, Vol.6 No.4, August 10, 2016

  ABSTRACT: The aim of this study was to determine the optimum design mix to produce pre-cast concrete blocks by a completely random experimental design (CRED) with mixture and process variables. The polymerized concrete was studied its composition: Cement, and water defined as the mixture compounds. To choose the best model, all the possible models were assessed through the ANOVA, which tested each possible model. The linear-linear model was preferred, since that do not present evidence of lack of fit, and it is capable of relating how to react the process variables, when are changed the variable mixture condition levels. The optimum experimental condition, obtained for the polymerized concrete, was: The size of the polystyrene beads was 4.8 mm sized polystyrene beads, 5.0% polystyrene that replaced the aggregate, 18.3% cement, 73.4% aggregate and 8.3% water. In this condition, the blocks made with polymerized concrete show a compressive strength above 15 Mpa, allowing its utilization in paving.