Using statistical techniques to model the flexural strength of dried triaxial ceramic bodies

Correia, Sivaldo Leite; Curto, K.A.S.; Hotza, Dachamir; Segadães, Ana M.

doi:10.1016/j.jeurceramsoc.2003.09.009

Cited by 45 publications

(40 citation statements)

References 5 publications

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“…Under constant processing conditions, these properties are basically determined by the mixture of raw materials and can, therefore, be modeled using the optimization methodology specific to the design of mixture experiments. Such procedure is common practice in the chemical industry [3][4][5] and is becoming popular in the field of glasses and ceramics [6][7][8]. It has proven, in all cases reported, to lead to greater efficiency and confidence in the results obtained, and to be less demanding in time, both material and human resources.…”

Section: Introductionmentioning

confidence: 99%

Technique for optimization of ceramic bodies using mixture design

Silveira

Leite

2010

Cerâmica

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In the production of wall and floor ceramic tiles, mixtures of raw materials from several origins with different physical and chemical characteristics are used. Those changes of raw materials alter the quality of the finished product, what implicates in the constant reformulation in the composition of the ceramic mass through try and error, consuming time and materials. This configures the ideal circumstance to apply the techniques of experiments design, often used in many areas to model properties of such ceramic bodies. In the present study, 21 formulations of six raw materials, namely talc, quartz, calcareous, phyllite, dolomite and clay were selected and used as control factors in the experiments design. Those formulations were processed under conditions similar to those used in the ceramics industry: powder preparation (wet grinding, drying, granulation and drying), green body preparation (pressing and drying), firing (at 1180 ºC) and characterization. With the experimental results, regression models were calculated, relating bending strength, linear firing shrinkage and water absorption. After statistical analysis and verification experiments, the significance and validity of the models were confirmed, and one technique for optimization of ceramic bodies was developed: a mathematical expressions denominated loss of quality function. The regression models and the developed technique of the loss quality can then be used for the best combination of those six raw materials to produce a ceramic body with specified properties. Keywords: mixture experiments, statistical analysis, mixtures optimization, experimental design. Resumo Na produção de revestimentos cerâmicos para parede e piso, são usadas misturas com matérias-primas de diversas regiões com características físicas e químicas diferentes. Essas mudanças de matérias-primas alteram as qualidades do produto final, o que implica em constante reformulação na composição de massas cerâmicas através de tentativas e erros, consumindo tempo e material. Isso configura a circunstância ideal para aplicar as técnicas de projeto de experimentos, freqüentemente usadas em outras áreas

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Section: Introductionmentioning

confidence: 99%

Technique for optimization of ceramic bodies using mixture design

Silveira

Leite

2010

Cerâmica

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“…A modelagem de uma dada propriedade usando essa metodologia de otimização é muito comum em diversas áreas [3][4][5][6][7][8][9] e tem permitido, em todos os casos relatados, obter uma maior confiança nos resultados e eficiência em termos de racionalização de custo.…”

Section: Introductionunclassified

Otimização da resistência mecânica de corpos cerâmicos em função de matérias-primas e restrições de propriedades tecnológicas

2005

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ResumoNo desenvolvimento e fabricação de revestimentos cerâmicos, propriedades tecnológicas são determinadas basicamente pela combinação de matérias-primas e condições de processamento. Quando os parâmetros de processo são mantidos constantes, a técnica de delineamento de misturas pode ser usada para modelar essas propriedades em corpos cerâmicos. Neste trabalho, foram selecionadas dez formulações constituídas por uma mistura de argilas, feldspato potássico e areia quartzosa, que foram processadas sob condições semelhantes às utilizadas na indústria de revestimentos cerâmicos, e caracterizadas. Com os resultados da caracterização, foram calculados modelos de regressão relacionando cada propriedade (módulo de ruptura, densidade aparente, absorção de água, retração linear, coeficiente de dilatação linear) com as proporções de matérias-primas. Tais modelos foram usados para delimitar a gama de composições que permite produzir um corpo cerâmico com características de grés porcelânico (restrições nas propriedades finais), sujeito a restrições impostas pelo processo de fabrico. Palavras-chave: delineamento de misturas, revestimentos cerâmicos, resistência mecânica, superfície de resposta, otimização. Abstract In the development and manufacture stages of floor and wall ceramic tiles, technological properties are basically determined by the

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“…Its application to ceramic products such as floor and wall tiles would mean that, for a given set of raw materials and processing conditions, an equation could be sought for each property (response surface), relating that property with the raw materials contents in the starting mixture. Such methodology has seen applications in a variety of fields, not only in materials formulation and processing research, but also in industrial processes [6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…The distinctive roles that clays, feldspar and quartz play in ceramic processing also impose restrictions on their contents in the mixture and lower bound composition limits must be used [13][14]. When some or all the compositions x i are restricted by a lower bound (and/or an upper bound), i.e.…”

Section: Introductionmentioning

confidence: 99%

Optimización de la resistencia mecánica y densidad de cerámicas en verde a través del diseño de mezclas

Correia¹,

Hotza²,

Segadães³

2005

Bol. Soc. Esp. Ceram. Vidr.

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In industrial practice, it is desirable to be able to predict, in an expeditious way, what the effects of a change in raw materials or the proportions thereof might be in the various processing steps towards the final product. When the property of interest is basically determined by the combination (or mixture) of raw materials, an optimisation methodology specific to the design of mixture experiments can be successfully used. In the present study, dry bending strength and bulk density were selected as the properties to model, given the simplicity of their experimental determination and because they are frequently used as quality control parameter in the development and manufacture stages of floor and wall ceramic tiles. Ten formulations of three raw materials (a clay mixture, potash feldspar and quartz sand) were processed in the laboratory under fixed conditions, similar to those used in the ceramics industry, and characterised. The use of this methodology enabled the calculation of valid regression models (equations) relating dry bending strength and bulk density with the contents, in the starting mixture, of the particular raw materials used. Keywords: Experiments design; Regression models; Ceramic tiles. Optimización de la resistencia mecánica y densidad de cerámicas en verde a través del diseño de mezclasEn el trabajo industrial es deseable poder predecir de manera efectiva, los efectos que los cambios en las materias primas o en sus proporciones pueden ejercer sobre las variables del proceso y como estos afectan al producto final. Cuando la propiedad de interés depende preferentemente de la mezcla de las materias primas, una metodología específica de optimización para el diseño de los experimentos de mezclas puede ser empleada con éxito. En este trabajo, la resistencia mecánica en seco y la densidad se emplearon como los parámetros de control en el desarrollo y producción de azulejos cerámicos para pavimento y revestimiento. Diez formulaciones a partir de tres materias primas ( una mezcla de arcilla, feldespato potásico y arena de cuarzo) fueron procesadas en el laboratorio bajo condiciones fijas que son similares a las empleadas en la industria cerámica y finalmente se procedió a su caracterización. El empleo de esta metodología permite el cálculo de modelos de regresión (ecuaciones) relacionando la resistencia mecánica y la densidad con el contenido en la mezcla de partida de las materias primas.Palabras clave: diseño experimental; modelos de regresión; azulejos cerámicos.

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Using statistical techniques to model the flexural strength of dried triaxial ceramic bodies

Cited by 45 publications

References 5 publications

Technique for optimization of ceramic bodies using mixture design

Technique for optimization of ceramic bodies using mixture design

Otimização da resistência mecânica de corpos cerâmicos em função de matérias-primas e restrições de propriedades tecnológicas

Optimización de la resistencia mecánica y densidad de cerámicas en verde a través del diseño de mezclas

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