Comparative Study between Direct and Pseudomorphic Transformation of Rice Husk Ash into MFI-Type Zeolite.

Conversion of Rice Husk Ash into Zeolitic Materials

−− The objective of this work was to synthesize zeolitic products using rice husk ash (RHA) as silicon source. For the synthesis, two mineralizing agents: NaOH and KOH were tested. Chemical composition of the synthesized samples as well as their cation exchange capacity (CEC) were determined. The samples were also characterized by X-ray diffraction (XRD) and scanning electron microscopy (SEM). ...

Ultrasonic and conventional synthesis of NaA zeolite from rice husk ash

Evaluation of Coal Waste Ash and Rice Husk Ash on Properties of Pervious Concrete Pavement

The use of pervious concrete has been significantly considered in recent years. This consideration is due to the properties of pervious concrete in relating to the environmental sustainability that is utilized in the effective management of the runoff from rainfall. Coal extraction and rice husk obtained from milling, produces wastes that have no application and followed by environmental pollut...

Combine Use of Fly Ash and Rice Husk Ash in Concrete to Improve its Properties (RESEARCH NOTE)

This research paper describes the study of combined effect of Fly Ash (FA) and Rice Husk Ash (RHA) on properties of concrete as partial replacement of Ordinary Portland Cement (OPC). These by-products are having high pozzolanic reactivity. In this research, the composition of mix was used with 10% RHA along with 10, 20 and 30% FA as partial replacement of cement. In this study, the compressive ...

A mathematical model for optimization of strength of concrete: A case study for shear modulus of Rice Husk Ash Concrete

Rice Husk Ash (RHA) is natural Pozzolan containing reactive silica and/or aluminum. When the material is mixed with lime in powdered form and in the presence of water, it will set and harden like cement. This work uses Osadebe’s optimization model to optimize the shear modulus of concrete made from RHA. The strengths predicted by the model are in good agreement with their corresponding experime...