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Clareus Scientific Science and Engineering (ISSN: 3065-1182)

Research Article | Volume 2 Issue 2 - 2025

Predictive Optimisation Model for Commercial Geopolymer Cement Manufacturing

Zvikomborero Lazarus Duri1*, Rajesh Arora1, Naveen BP2 and QC Kanhukamwe2
1Mechanical and Electronic Engineering, Amity University Haryana, Gurgaon (Manesar), India
2Civil Engineering, National Institute of Technical Teachers’ Training & Research, Kolkata, India

*Corresponding Author: Zvikomborero Lazarus Duri, Mechanical and Electronic Engineering, Amity University Haryana, Gurgaon (Manesar), India.

 February 14, 2025

DOI: 10.70012/CSSE.02.014

Abstract

Our invention/paper relates to the use of a kaolin source material that is mixed with a pozzolanic material in the absence of water, to form a geopolymer cement binder material. It relates to the industrial scale processes that these two major materials go through as they are prepared by special manufacturing processes to obtain optimised raw material constituent materials first and then when they mixed by large scale/commercial processes to obtain products of uniform quality. A geopolymer cement product capable of achieving a compressive strength of 104 Mpa with a compressive strength after a chemical attack of 100.74 Mpa and a thermal expansion of 0,2mm can be achieved after producing the input raw materials into this GPC cement at a Pyro processing temperature of 681 Degrees Celsius resulting in an aluminium material phase of 4.01 and silica to alumina ratio of 2.26. This product should be ground to a particle surface area of 6863 parts/cm2 with an alkali activator of 18,78%.

Keywords: metakaolin; pozzolanic materials; geopolymer cement; material phase; optimisation

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Citation

Zvikomborero Lazarus Duri., et al. “Predictive Optimisation Model for Commercial Geopolymer Cement Manufacturing". Clareus Scientific Science and Engineering 2.2 (2025): 12-20.

Copyright

© 2025 Zvikomborero Lazarus Duri., et al. Licensee Clareus Scientific Publications. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.