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49 result(s) for "Grinding aid"
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An approach to modified grinding aid for green cement production: synthesis, characterization, and compatibility with cement
This study presents a novel sustainable materials chemistry approach for enhancing cement performance by chemically modifying conventional based grinding aids (GAs). Amine- and glycol-based grinding aids (GAs), namely triisopropanolamine (TIPA), diethanol isopropanolamine (DEIPA), and diethylene glycol (DEG), underwent reactions with organic acids of different chain lengths to tailor their molecular structures and improve multifunctionality. The structural characterization of the modified GAs was conducted using Fourier-transform infrared spectroscopy. They were evaluated for their effects on cement grinding efficiency, particle size distribution, paste and mortar rheology, and mortar strength development. Compared with commercial counterparts, the modified GAs improved early-age compressive strength and rheological properties of cementitious pastes and mortars while also enhancing compatibility with polycarboxylate ether (PCE) based water-reducing admixtures was, especially for TIPA- and DEIPA-based systems. Modified GA systems significantly improved cement rheology and flow retention compared to the control and unmodified formulations. TIPA GA made with hexanoic acid exhibited the strongest effect, reducing viscosity by 21–86%, while DEG GA made with acetic acid achieved reductions of 5–69%. DEIPA modifications enhanced cement–PCE compatibility, leading to superior rheological behavior relative to unmodified DEIPA. Furthermore, TIPA, DEIPA, and DEG GAs made with each of propanoic acid, hexanoic acid, and propanoic acid, respectively, increased the 60-minute relative flow values by up to 15%, demonstrating improved workability retention. This advancement in research mitigates well-known admixture incompatibility issues and enables increased pozzolan incorporation without compromising workability or strength.
Sustainable Cement Production: TEA-TIPA as Grinding Aids: Optimizing Ratios for Efficiency and Environmental Impact
In line with sustainable construction goals, this study investigates the synergistic use of amine-based grinding aids (GAs), triethanolamine (TEA), and triisopropanolamine (TIPA) to enhance grinding performance and cement properties. GAs were physically blended at varying TEA/TIPA ratios, and their effects on grinding efficiency, CO2 emissions, and environmental footprint were assessed based on energy consumption per target Blaine fineness. The interaction of blended GAs with Ca2+ ions was modeled to understand adsorption behavior. Cement particle size distribution (PSD), Hausner ratio, Carr index, and angle of repose were analyzed to evaluate powder flowability. Scanning electron microscopy (SEM) was employed to examine microstructural changes. Finally, the Taguchi method statistically analyzed the effective parameters influencing system performance. Results demonstrated that the optimized blend containing 25% TEA and 75% TIPA improved grinding performance, enhanced polymer–ion interactions, refined PSD, and significantly increased powder flowability. Overall, the study underscores the potential of amine-based polymeric GAs in producing environmentally friendly, high-performance cement composites. Using a Taguchi design with the larger-is-better S/N criterion, the optimal formulation was determined to be 25% TEA and 75% TIPA at a dosage of 0.10%. ANOVA results indicated that the TEA content was the most significant factor, while the dosage had no statistically significant effect.
The fractal characteristics of cement-based materials with grinding aid via BSE image analysis
Energy conservation and emission reduction are crucial for the cement industry to meet “carbon peak” and “carbon neutrality” targets, with a particular emphasis on grinding aids. The impact of different grinding aids (triethanolamine (TEA), maleic acid-modified trieth-anolamine (MTEA), triisopropanolamine (TIPA), and TEA-CNA composite) on the microstructural evolution of cement-based materials and their relationship with macro-scopic mechanical properties is investigated in this study using backscattered electron (BSE) imaging and fractal theory. The results show that TIPA effectively refines cement particles, promotes hydration (77.30% at 28 days), and reduces porosity. MTEA enhances late-stage hydration, while TEA inhibits silicate phase hydration. Statistical parameters, fractal dimensions, and multifractal parameters from BSE images were used to describe the microstructure. Whereas the fractal dimension of porosity is associated with both hydration and particle packing, the fractal dimension of unhydrated particles is primarily determined by the grinding aid. A negative correlation between pore structure fractal dimension and compressive strength (R² = 0.7444) was observed. The multifractal analysis shows TIPA with the most uniform particle and pore distribution, and multifractal parameters, such as ∆ D q_particle , are negatively correlated with compressive strength (R² = 0.8924). This study provides insights into the effects of grinding aids on cement hydration and microstructure, offering guidance for their optimal selection and application.
Investigation of the Effects of Polymer-Based Grinding Aids on the Surface Chemistry Properties of Cement
Polymer-based superplasticizers represent an emerging class of additives in cement and concrete production with demonstrated effects on zeta potential, ion exchange, turbidity and rheological behavior during hydration. This study examines the influence of polymer-based grinding aids focusing on the dosage of A2 on the grinding performance of Portland cement. Among the tested additives, A2 exhibited superior dispersing ability and agglomeration-preventing activity, yielding a zeta potential of −8.98 mV. Correspondingly, the release of the ion concentration of Ca2+ decreased to 190 mg/L, while SO42− increased to 400 mg/L, indicating enhanced ionic interaction at the optimal A2 dosage of 2.5 g. The turbidity tests further revealed that cement samples ground with 2.5 g of A2 remained homogeneously suspended for longer periods compared to other additives. Overall, the analysis of cement surface properties confirmed that polymer-based grinding aids, particularly A2, significantly improve the dispersion stability of cement particles during grinding.
Evaluation of the Effect of Using Different Types of Clinker Grinding Aids on Grinding Performance by Numerical Analysis
To develop more environmentally friendly and sustainable cementitious systems, the use of grinding aids (GAs) during the clinker grinding process has increasingly gained attention. Although the mechanisms of the action of grinding aids (GAs) are known, the selection of an effective grinding aid (GA) can be difficult due to the complexity of appropriate selection criteria. For this reason, it is important to model the effect of GA properties on grinding performance. In this study, seven different types of GAs were used in four different dosages, and time-dependent grinding was performed. The Blaine fineness values of cements were compared after each grinding process. In addition, the modeling of these parameters using machine learning and ensemble learning methods was discussed. The Synthetic Minority Over-sampling Technique (Smote) was used to generate artificial data and increase the number of data for the grinding efficiency experiment. The data were modeled using methods such as Artificial Neural Networks (ANNs), Attentive Interpretable Tabular Learning (TabNet), Random Forests (RFs), and the XGBoost Regressor (XGBoost), and the ranking of the parameters affecting the Blaine properties was determined using the XGBoost method. The XGBoost method achieved the best results in the MAE, RMSE, and LogCosh metrics with values of 21.0384, 33.7379, and 15.4846, respectively, in the experimental modeling studies with augmented data. This study contributes to a better understanding of the relationship between GA selection and milling process performance.
The Effect of Various Grinding Aids on the Properties of Cement and Its Compatibility with Acrylate-Based Superplasticizer
The influence of grinding aids (pure triethanolamine and ethylene glycol) on the properties of cements, their compatibility with an acrylate-based superplasticizer and the rheological parameters of mortars were investigated. The presence of surfactants influences the standard properties of cements and the effectiveness of the superplasticizer. The results of the heat of hydration and setting time measurements indicate a delay in the hydration process and an increase in the induction period duration of the surfactant-doped pastes, in relation to the reference sample without grinding aids. Triethanolamine increases early-age compressive strength; the effect was observed for both standard and superplasticizer-containing mortars. The presence of grinding aids decreases the slump flow of mortars and increases rheological parameters such as yield stress (τ0) and viscosity (η).
Influence of Grinding Aids on the Grinding Performance and Rheological Properties of Cementitious Systems
The cement industry is of great importance in terms of raw materials consumed, energy consumed, and greenhouse gases emitted. Grinding aids (GA) are used to reduce energy consumption and costs, as well as to reduce the amount of CO2 released into the environment. In this study, the effect of GA-polycarboxylate ether-based water-reducing admixture (PCE) compatibility on some fresh, rheological and hardened state properties of cementitious systems was investigated. In order to investigate the rheological properties and thixotropic behavior of the mixtures, a total of 51 cement paste mixtures were prepared, containing 4 different types (molasses, MEG, DEA and ethanol) and ratios (0.025, 0.05, 0.75 and 0.1) of GAs and 2 different ratios (0.08% and 0.16%) of PCE in addition to the control mixture. In addition, the effect of the used GAs on the grinding efficiency and compressive strength value was investigated. Additionally, the predictability of the type of GA, dosage and cure time using the Taguchi method was investigated. It was determined that the highest grinding performance was obtained in mixtures containing MEG. It was determined that in cement paste mixtures containing GAs, the dynamic yield stress and viscosity values generally decrease with the increase in PCE usage rate up to a certain value, and these values may increase if the PCE usage increases further. It was determined that such behavior is not present in cement paste mixtures containing GAs and that the structural build-up value of the mixtures generally increases with the increase in the PCE admixture usage rate. It was determined that the use of GAs had a positive effect on 28-day compressive strength.
Optimizing the Cement Rheology and Hydrophobicity Using Polycarboxylate Ether (PCE)-Based Grinding Aids
Newly developed polymer-based grinding chemicals demonstrate superior dispersion, grinding, and strength outcomes compared to traditional amine-based additives. This study provides a comprehensive analysis of the mechanisms underlying the improved performance of polymers in the grinding process. It examines the influence of polymer-based grinding aids (A1-A2-A3) on the hydrophobicity and rheological behavior of CEM I 42.5 R Portland cement. A systematic analysis was conducted using six different grinding aids, comprising three synthesized polycarboxylate ether (PCE)-based polymers and three commercial amine group products. Key properties, including surface tension, hydrophobicity (water contact angle, WCA), slump flow, FT-IR, and rheological parameters, were evaluated. Among the compounds tested, the A2 polymer exhibited the most favorable performance, achieving a high contact angle (131.7°), low surface tension (56.7 dyn/cm), and enhanced mortar fluidity (25 cm slump flow). FT-IR spectroscopy confirmed strong interactions between A2 and cement particles, particularly in the CH3 bonding regions. Rheological analyses further revealed that A2—2.5 g significantly decreased viscosity and improved shear stress response, indicating superior dispersion and water reduction capability. The findings highlight A2 as a promising eco-efficient additive for enhancing the efficiency, performance, and workability of cementitious systems through polymer-based grinding technology.
Synthesis and Performance of Triisopropanolamine-Modified Polycarboxylate Cement Grinding Aid
In this study, a triisopropanolamine (TIPA)-modified polycarboxylate cement grinding aid was synthesized via a free radical polymerization reaction, and its effects on cement properties were investigated. The synthesized grinding aid was evaluated through cement grinding experiments, by comparing cement samples with and without the additive. The influences on particle size distribution, specific surface area, residue content, setting behavior, flowability, and mechanical strength were systematically evaluated. The results demonstrated that the modified polycarboxylate cement grinding aid significantly refined size distribution of particles, enlarged the specific surface area to 4900 cm2/g (27.9% increase), decreased 45 μm residue content to 0.8%, accelerated setting, and improved the flowability of the cement paste. Strength tests of cement mortar indicated that the additive improved both early and late compressive strength, with 3d and 28d strengths increasing by 6.5 MPa and 5.7 MPa, respectively, compared to the blank sample, providing strong theoretical support for its potential use in industrial cement production.
Experimentally and Modeling Assessment of Parameters Affecting Grinding Aid-Containing Cement–PCE Compatibility: CRA, MARS and AOMA-ANN Methods
In this study, the compatibility of polycarboxylate ether-based water-reducing admixtures (PCE) with cements produced with different types and dosages of grinding aids (GA) was experimentally and statistically investigated. A total of 203 paste mixtures were prepared using seven different types of GA and one type of PCE at different dosages. The Marsh funnel flow time and mini-slump values of the mixtures were compared. A modeling study was performed using the experimental data. In this direction, Classical Regression Analysis (CRA), Multivariate Adaptive Regression Splines (MARS), and Artificial Neural Networks (AOMA-ANN) were applied. Innovative approaches, AOMA-ANN (AIP) and AOMA-ANN (ONIP), were introduced. The results showed adverse effects on flow performance with increased GA utilization, except for TEA-based GA. TEA-type GA had the lowest flow performance. AOMA-ANN (ONIP) exhibited the best performance in modeling. Marsh funnel flow-time modeling with AOMA-ANN (ONIP) considered parameters such as sieve residue at 60 microns, the number of molecules per fineness, the density of GA, the pH value of GA, and the PCE dosage. Mini-slump modeling with AOMA-ANN (ONIP) considered parameters such as sieve residue at 60 microns, the density of GA, the pH value of GA, and the PCE dosage.