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Title: Can statistical methods optimize complex multicomponent mixtures for sintering ceramic granular materials? A case of success with synthetic aggregates
Authors: José Manuel Moreno-Maroto, Carlos Javier Cobo-Ceacero
Antonio Conde-Sánchez, Ana M. Martínez-Rodríguez
Beatriz González-Corrochano, Jacinto Alonso-Azcárate
Manuel Uceda-Rodríguez, Ana B. López-García
Carmen Martínez-García, Teresa Cotes-Palomino
Abstract: The relationship between the proportions of multicomponent mixtures with the technological properties of ceramic granular materials (synthetic aggregates) has been studied using statistical methods. The four phases involved in the formulations have been: kaolin (K) as aluminosilicate source; cork powder (C) as organic carbon source; sodium carbonate (N) as flux and pyrite (P) as source of iron and sulfur. The Mixture Experiments - Design of Experiments (ME-DOE) has been the statistical methodology applied from the initial configuration of the 36 starting formulations to the final validation of the models and optimums. After granulation, artificial aggregates have been obtained by sintering in a rotary kiln, and their main technological properties have been determined. Bloating index (BI), particle density (ρrd), water absorption (WA24) and crushing strength (S) were selected as the four key characteristics to be modeled and optimized, using response surface and effect plots to assess the effect of K, C, N and P on such properties. 32 out of 36 starting varieties met the density criteria for lightweight aggregates. In the optimum formulations obtained, the minimum percentage of K was 83 wt%, so that the variations in the percentages of P, C and N were the critical variables for determining the final properties of the aggregate. The contrast between experimental and estimated data has shown that the models fit adequately, indicating that this type of approach may have enormous potential for future research on artificial aggregates and other ceramic materials.
Keywords: Aggregate
Organic carbon
Design of experiments
Issue Date: 15-Jul-2023
metadata.dc.description.sponsorship: This research was conducted as a part of the ECO-MET-AL Project, PID2019-109520RB-I00 / AEI / 10.13039/501100011033, “Can industrial and mining metalliferous wastes produce green lightweight aggregates? Applying the Circular Economy” funded by the Spanish Ministry of Science, Innovation and Universities and ERDF funds, framed in the “Ayudas a “Proyectos I + D + i" en el marco de los Programas Estatales de Generación de Conocimiento y Fortalecimiento Científico y Tecnológico del Sistema de I + D + i y de I + D + i orientada a los Retos de la Sociedad, Convocatoria 2019”. Thanks also to the SCAI of the University of Jaén, the University of Castilla-La Mancha and the University of Málaga for their services.
Publisher: ELSEVIER
Citation: José Manuel Moreno-Maroto, Carlos Javier Cobo-Ceacero, Antonio Conde-Sánchez, Ana M. Martínez-Rodríguez, Beatriz González-Corrochano, Jacinto Alonso-Azcárate, Manuel Uceda-Rodríguez, Ana B. López, Carmen Martínez-García, Teresa Cotes-Palomino, Can statistical methods optimize complex multicomponent mixtures for sintering ceramic granular materials? A case of success with synthetic aggregates, Ceramics International, Volume 49, Issue 14, Part B, 2023, Pages 24195-24206,
Appears in Collections:DIQAM-Artículos

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