Abstract:a b s t r a c tFly ash contains metals such as cadmium, iron, lead, aluminum and zinc in its structure in appreciable amounts. These metals can leach out into surface and ground waters if fly ash is not properly disposed of. A similar problem also exists for acidic process waste waters discharged by numerous industries. The purpose of this study was to utilize such wastes as additives in the production of construction quality bricks for the purpose of waste elimination. The bricks produced were subjected to fl… Show more
“…The proposed explanation of dropped sensitivity to drying is improved binding of the particles due to pozzolanic reaction in contact with moist [23]. The other researches also concluded that moist diffusion in bricks with fly ash addition is improved [4].…”
Section: Changes Observed In Shaping and Drying In The Airmentioning
“…The proposed explanation of dropped sensitivity to drying is improved binding of the particles due to pozzolanic reaction in contact with moist [23]. The other researches also concluded that moist diffusion in bricks with fly ash addition is improved [4].…”
Section: Changes Observed In Shaping and Drying In The Airmentioning
“…The disposal of bottom ash is a matter of great concern, as the dumped ash is highly unsuitable for the agricultural uses and it makes the agricultural land barren and unproductive [5]. So much research is being conducted from more than two decades for the use of coal ashes in construction such as cement and brick production [6,7]. Many researchers have also studied the use of bottom ashes for the removal of dyes and organic pollutants from waste water [8,9].…”
“…The study considered the 302 cases available in the literature on the usage of fly [1,[3][4][5][7][8][9][10][11][12][13][14][15][18][19][20][21][22][23][24][25][26][27][28][29][30], bottom ashes [2,6,24,30], and pond ashes [5,13,14,31] in clay bricks.…”
Section: Materials and Experimental Proceduresmentioning
confidence: 99%
“…Particle size distributions of coal ashes were determined by wet [5,6,13,14,22,24,28,30], and dry sieving [8], while in some studies [1,3,9,11,12,25,29], the samples were sieved or ground and certain fractions were used for the brick production. In the present study, the maximum particle size of the ash (PS max ) used for brick production was considered as the input parameter.…”
Section: Input and Output Parametersmentioning
confidence: 99%
“…Also, these products are of lower unit weight than traditional ones (up to 10-20 %) which decreases the transport costs, facilitates easier handling, and improve the thermal insulation properties [1]. Intensive research studies were carried out to evaluate the potential of coal ash utilization in the formulations of ash-clay bricks in the last decades [2,5,[7][8][9][10][11][12][13][14][15][16][17]. Since the chemical composition of the brick clays and coal ashes vary, the present investigation is aimed to summarize all the available results and identify the most influential factors affecting the quality of common clay bricks and coal ash bricks, through a mathematical model.…”
This study analyzed the last 20 years` data available on power plant coal
ashes used in clay brick production. The statistical analysis has been
carried out for a total of 302 cases based on the relevant parameters
reported in the literature. The chemical composition of the clays and coal
ashes, percentage incorporation and maximum particle size of ash, size of
fired samples, peak firing temperature, and the corresponding soaking time
were selected as inputs for modeling. The product characteristics i.e. open
porosity, water absorption, and compressive strength was taken as output
parameters. An artificial neural network model has been developed and showed
a satisfactory fit to experimental data and predicted the observed output
variables with the overall coefficient of determination (r2) of 0.972 during
the training period. Besides, the reduced chi-square, mean bias error, root
mean square error, and mean percentage error were utilized to check the
correctness of the obtained model, which proved the network generalization
capability. The sensitivity analysis of the model suggested that the
quantity of Na2O coming from brick clays, the percentages of SiO2 and K2O
coming from ashes, and MgO coming from clays were the most influential
parameters in descending order for the ash-clay composite bricks` quality,
mostly owing to the influence of fluxes during firing.
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