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Assessment of Mechanical and Thermal Performances of a Ceramic Product Incorporating an Industrial Waste

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Advanced Intelligent Systems for Sustainable Development (AI2SD’2019) (AI2SD 2019)

Abstract

Over the last few years, several industries located in Morocco generate critical amounts of sludge mainly issued from the industrial wastewater treatment. These untreated residues are dumped, mostly, in landfills causing serious environmental issues.

Bricks are widely used in construction and building materials around the world. Conventional bricks are produced from natural clay with high temperature kiln firing. Extensive research has been conducted on production of bricks from waste materials for environmental protection and sustainable development.

This work deals to produce bricks for construction by mixing the sludge providing from an industrial wastewater treatment with natural clay. The studied sludge was characterized in terms of its composition and the natural clay was supplied by a local factory.

The bricks samples were prepared by incorporating from 10% to 70% of the sludge and by firing at the temperature around 920 °C. Tests were performed to determine the compressive strength, porosity, water absorption and bulk density. These tests showed that the physical, mechanical and Thermal properties of the bricks are depending on the amount of the sludge incorporated.

Samples containing up to 50% of sludge still have high values of mechanical resistance than the control bricks. The optimal result for the thermal conductivity is 0,095 relative to 60% of the incorporated sludge.

The added waste has improved bricks conductivity properties compared to control bricks made without any waste.

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Correspondence to Achraf Bakkali Yedri .

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Yedri, A.B., Ammari, M., Allal, L.B. (2020). Assessment of Mechanical and Thermal Performances of a Ceramic Product Incorporating an Industrial Waste. In: Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2019). AI2SD 2019. Advances in Intelligent Systems and Computing, vol 1104. Springer, Cham. https://doi.org/10.1007/978-3-030-36671-1_9

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