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Title:Particle size manipulation as an influential parameter in the development of mechanical properties in electric arc furnace slag-based AAM
Authors:ID Traven, Katja (Author)
ID Češnovar, Mark (Author)
ID Ducman, Vilma (Author)
Files:URL URL - Source URL, visit https://www.sciencedirect.com/science/article/pii/S0272884219321212?via%3Dihub
 
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MD5: FA9526B63E2D57E5FE7D38AAD05C9211
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo ZAG - Slovenian National Building and Civil Engineering Institute
Abstract:Alkali-activated materials (AAM) have gained recognition as a promising alternative to technical ceramic and building materials owing to the lower energy demands for production and the potential to use slag as a precursor. In the present study, five sets of slag-based AAM pastes were prepared with different particle sizes (fractions d < 63, 63 < d < 90, and 90 < d < 125 μm in different mass ratios) under the same curing regime and using a fixed precursor to activator (water) mass ratio. Precursors and the hardened AAM are evaluated using BET, XRD, XRF, SEM, FTIR, reactivity of precursors by leaching, and mercury intrusion porosimetry (MIP). Chemical analysis indicated only marginal differences among the different-sized fractions of input materials, whereas the BET surface area and reactivity among the precursors differed significantly-smaller particles had the largest surface area, and thus, higher reactivity. The mineralogical differences between the precursors and hardened AAM were negligible. The results revealed that compressive strength was significantly influenced by particle size, i.e., a threefold increase in strength when the particle size was halved. Microstructural evaluation using MIP confirmed that the porosity was the lowest in AAM with the smallest particle size. The low porosity and high reactivity of the fine fractions led to the highest compressive strength, confirming that manipulation of particle size can significantly influence the mechanical properties.
Keywords:alkalijsko aktivirani materiali, žlindra iz obločne peči, mehanska aktivacija, mehanske lastnosti, poroznost, alkali-activated materials (AAM), electric arc furnace steel slag, mechanical activation, mechanical properties, porosity
Publication status:Published
Publication version:Version of Record
Publication date:26.07.2019
Publisher:Ceramurgica s.p.a.
Year of publishing:2019
Number of pages:str. 22632-22641
Numbering:Vol. 45, iss. 17
PID:20.500.12556/DiRROS-17304 New window
UDC:620.1/.2
ISSN on article:0272-8842
DOI:10.1016/j.ceramint.2019.07.296 New window
COBISS.SI-ID:2480999 New window
Copyright:© 2019 The Authors. Published by Elsevier Ltd.
Note:E-članek objavljen: 1 December 2019;
Publication date in DiRROS:22.11.2023
Views:1043
Downloads:381
Metadata:XML DC-XML DC-RDF
:
TRAVEN, Katja, ČEŠNOVAR, Mark and DUCMAN, Vilma, 2019, Particle size manipulation as an influential parameter in the development of mechanical properties in electric arc furnace slag-based AAM. Ceramics international [online]. 2019. Vol. 45, no. 17, p. 22632–22641. [Accessed 19 March 2025]. DOI 10.1016/j.ceramint.2019.07.296. Retrieved from: https://dirros.openscience.si/IzpisGradiva.php?lang=eng&id=17304
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Record is a part of a journal

Title:Ceramics international
Shortened title:Ceram. int.
Publisher:Ceramurgica s.p.a.
ISSN:0272-8842
COBISS.SI-ID:5822215 New window

Document is financed by a project

Funder:EC - European Commission
Funding programme:H2020
Project number:730238
Name:Implement a European-wide coordination of research and innovation programs on raw materials to strengthen the industry competitiveness and the shift to a circular economy
Acronym:ERA-MIN 2
Funder:Other - Other funder or multiple funders
Project number:ERA-MIN-2017_94/FLOW
Name:Lightweight alkali activated composite foams based on secondary raw materials
Acronym:FLOW

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:12.08.2019
Applies to:Text and Data Mining valid from 2019-12-01 Version of Record valid from 2019-08-12

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