Comprehensive Review of Binder Matrices in 3D Printing Construction: Rheological Perspectives
Abstract
:1. Introduction
2. Review Methodology
3. Enhancing the Benefits of 3D Printing in Construction
3.1. Cement Matrix Inks
3.2. Sustainable Binders
3.2.1. Geopolymer Inks
3.2.2. Earth-Based Inks
3.3. Sustainable Cementitious (Including SCMs) Binders
3.4. Foam Concrete
4. Research Findings
4.1. Yield Stress and Structural Stability
4.2. Viscosity and Flow Behavior
4.3. Thixotropy and Material Recovery
5. Future Work
5.1. Advancing Sustainability in Materials and Design
5.2. Enhancing Durability, Reinforcement, and Technological Frontiers
6. Conclusions
- Material innovation: Developing new binder materials with lower environmental impact, improved mechanical properties, and enhanced printability is crucial. This includes exploring the use of natural fibers, optimizing the mix design of sustainable binders, and investigating new polymers for reinforcement.
- Lifecycle assessment: Conducting comprehensive lifecycle assessments of 3D-printed structures will provide valuable insights into their long-term sustainability and environmental impact. This will help identify areas for improvement and promote the adoption of green materials and processes.
- Design and simulation tools: Enhancing computer-aided design (CAD) systems and simulation tools tailored for additive manufacturing will streamline the design process and improve the accuracy and efficiency of 3D printing in construction.
- Automation and reinforcement: Integrating reinforcement strategies into automated printing systems will address the structural demands of 3D-printed buildings. Research should focus on optimizing the placement and type of reinforcements to ensure the structural integrity of printed structures.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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3D Printable Bases | Search Expression |
---|---|
Cementitious | 3D printing OR 3D-printed OR Additive manufacturing AND (concrete OR cement) AND NOT ceramic AND NOT bioceramic |
Sustainable | 3D printing OR 3D-printed OR Additive manufacturing AND (geopolymer OR earth OR lime) AND NOT ceramic AND NOT bioceramic |
Sustainable cementitious | 3D printing OR 3D-printed OR Additive manufacturing AND (concrete OR cement) AND supplementary cementitious materials OR SCMs OR fly ash OR slag OR silica fume OR rice husk AND NOT ceramic AND NOT bioceramic |
Name | Materials | Material Parameters | Test Equipments/Models | Rheological Properties | Key Findings |
---|---|---|---|---|---|
Zhang et al. [54] | Type II 52.5 Portland cement (PC), nanoclay, silica fume (SF), fine aggregate, retarder, thickening agent, superplasticizer (SP) | -Water/binder: 0.35, -Nanoclay content: 0–2% cement replacement, -SF content: 0–2% cement replacement | -Brookfield rheometer with vane spindle -Bingham model for rheological analysis | -Yield stress range: 15–200 Pa, -Viscosity range: 3.5–5 Pa.s -Thixotropy range: 4000–16,000 Pa/s | The addition of nanoclay and SF greatly enhanced buildability, thixotropy, and green strength in 3D printable concrete. The optimized mixture containing both showed the best overall performance in rheology and buildability. |
Xu et al. [100] | Ordinary portland cement (OPC), sulphoaluminate cement (SAC), fly ash (FA), ground granulated blast furnace slag (GGBS), sand, water reducing agent, rubber powder, cellulose ether, defoamer, accelerator, early strength agent. | -FA content: 0–40% replacement of OPC, -GGBS content: 0–40% replacement of OPC -Water-binder ratio: 0.32 | -Mars40 rheometer -Slump test | For Optimal mixture (20% FA): -Slump: 42 mm, -Expansion: 185 mm, -Apparent viscosity: 1.5–4.5 Pa.s, -Shear stress: 38–58 Pa | The addition of 20% FA resulted in optimal rheological properties for 3D printing, with the lowest apparent viscosity and shear stress, and the best extrusion and buildability performance. FA and GGBS can improve rheological properties. |
Rubio et al. [101] | Cement, FA, SF, sand, Polypropylene (PP) fibers, SP, viscosity modifying agents (VMA) (diutan gum, nanoclay) | -Water/binder: 0.50, Binder/sand: 0.50, PP fibers: 0.2–0.6% by volume, -SP: 0.275–0.55% of binder, -VMA1 (diutan gum): 0.05% of binder, -VMA2 (nanoclay): 0.10% of binder | -Flow table -Penetration -Cylinder slump -Haake VT550 vane viscometer -Modified Bingham model | -Yield stress: 0–1079 Pa -Slump flow: 140–280 mm -Penetration: 19–40 mm | FA and SF increased yield stress and stability in 3D printing. PP fibers improved cohesiveness but hindered extrusion. VMAs enhanced stability but reduced workability. |
Yuan et al. [102] | Cement, sand, SP, attapulgite (AG) clay, SAC, sodium gluconate (SG) | -w/c: 0.35, -s/b: 1.5, -AG clay: 0–1% of binder, -SAC: 0–10% PC, SG: 0–0.0008% of binder | -Coaxial cylinder rotary rheometer -Bingham model, -Penetration resistance test | -Static yield stress: 500–4000 Pa, -Dynamic yield stress: 250–580 Pa, -Plastic viscosity: 5.5–8.5 Pa.s, -Penetration resistance: 0–35 kPa (over 10 h) | AG clay enhanced thixotropy, while SAC accelerated structural buildup. Optimal printing intervals varied between 2–10 min depending on the mix. Penetration resistance showed strong correlation with static yield stress growth. |
Kruger et al. [103] | Cement, FA, SF, sand, SP | -Water/cement ratio: 0.45 | -Germann ICAR Plus rheometer -Stress growth test | -Static yield stress: 6020 Pa -Dynamic yield stress: 692 Pa | An analytical shape retention model for 3D-printed concrete, which uses only rheological properties to predict the maximum stable filament layer height, is developed. This model ensures no plastic yielding occurs under self-weight, which is critical for maintaining shape retention and buildability. |
Kruger et al. [104] | Cement, FA, SF, sand, SP, VMA, nano-silica | -Water/cement: 0.45, -SP: −15% to +15% of reference dosage, -Nano-silica: 0–3% by mass of cement | -Germann ICAR Plus Rheometer -Stress growth test | -Static yield stress: 2108–6483 Pa, -Dynamic yield stress: 420–2803 Pa, -Reflocculation rate (Rthix): 1.36–8.00 Pa/s, -Structuration rate (Athix): 0.61–1.17 Pa/s | A novel bi-linear thixotropy model was developed for 3D printable concrete, distinguishing between Rthix and structuration Athix rates. Rthix was found to be a better indicator of thixotropic behavior for 3D printing than Athix. |
Lee et al. [105] | OPC, ISO standard sand, water, high water reducing agent | -Water/binder: 0.30, -High water reducing agent: 0.3% -Sand weight: 0.40–0.55 (by total weight) | -Anton Paar rheometer -Hysteresis loop measurements -Buildup ratio measurements | -Hysteresis loop area: 5647–49,242 Pa/s -Buildup ratio: 0.66–0.81 | A close correlation was found between thixotropic behavior (measured by hysteresis loop area and buildup ratio) and 3D printing buildability. The resting time required for stable buildability could be predicted through analysis of thixotropic behavior. |
Weng et al. [106] | OPC, SF, FA, silica sand, natural river sand, water, SP | -Water/binder: 0.30, -Sand/binder: 0.50, -Sand gradation: Varied based on Fuller Thompson theory, uniform gradation, gap gradation | -Viskomat XL rheometer -Bingham plastic model -Mini-slump test | -Static yield stress: 1874–3350 Pa, -Dynamic yield stress: 208.4–492.7 Pa, -Plastic viscosity: 16.65–33.31 Pa.s | A mixture based on Fuller–Thompson showed the best buildability, with high yield stress, low plastic viscosity, and stable printing of up to 40 layers. |
Zhang et al. [107] | PC, SF, nano-silica, micro-AG clay, sand, SP | -SP dosage: 0.8–1% by mass of binder, -Water-to-binder ratio: 0.215–0.340, -Sand-to-binder ratio: 1.41–2.24, -Sand maximum particle size: 1.18–4.75 mm | -Mini-slump test for paste flowability -Brookfield rheometer for yield stress, -Cylinder stability test for buildability assessment | -Yield stress: 2300–2730 Pa | A linear relationship was identified between cement paste flowability and optimal sand content for printable mixes. Using this with the excess paste theory helps design 3D printable mixes with varying sand fineness, ensuring suitable rheology by adjusting sand content based on paste flowability. |
Mohan et al. [97] | CSA cement, PC, limestone powder, sand, SP, VMA, retarders (borax, sodium gluconate) | -Water-to-binder: 0.35, -Aggregate-to-binder: 1.5, -VMA dosage: 0.1% by weight of binder, -Retarder dosage: 0.5% by weight of binder, -Limestone powder substitution: 0–30% replacement of CSA | -Anton Paar MCR 52 rheometer -Tribometer with smooth Couette geometry -Bingham model -Kaplan model for pumping pressure prediction | -Yield stress: 618–742 Pa, -Plastic viscosity: 22.3–62.1 Pa.s, -Lubricating layer yield stress: 241.7–269.7 Pa, -Lubricating layer viscous constant: 6830.2–7364.0 Pa.s/m | Borax can increase the open time of CSA mixtures without compromising early strength. CSA mixtures showed higher pumping pressures due to higher plastic viscosity. Limestone substitution reduced plastic viscosity and pumping pressures. CSA–limestone mixtures showed improved buildability compared to Portland cement mixtures. |
Moeini et al. [108] | Cement paste (ternary blended cement containing PC, FA, SF), nanoclay (bentonite and halloysite), SP, quartz sand | -Water/binder: 0.35, by the mass of the binder: -Nanoclay content: 0–0.50% -SP content: 0–0.3%, -Sand/binder: 0.75–1.00 | -Anton Paar MCR 302 rheometer with coaxial cylinders and parallel plate geometries -Mini-slump flow test (ASTM C1437) -Bingham model | For optimal paste mixture(H50HR3) -Static yield stress: 27 Pa (at t = 0), -Static yield stress: 140–1100 Pa, -Plastic viscosity (Pa. s) 1.7–4.0 Pa.s, -Dynamic yield stress (Pa) 58.3–76.2 Pa, -Thixotropy coefficient (Athix): 10.1–60 Pa/min, | Different rheometric methods provided insights into different aspects of material build-up. Static yield stress evolution was suitable for assessing sheared material behavior. |
Qian and De Schutter [109] | PC, nanoclay (purified AG clay), polycarboxylate ether superplasticizer (PCE) | -Water/cement: 0.4 -Nanoclay content: 0–0.5% by mass of cement -PCE content: 0–0.2% by mass of cement | -Anton-Paar MCR 102 rheometer with coaxial cylinder geometry | -Range for mixtures: Dynamic yield stress: 2.5–27.5 mNm Thixotropic index: 1.1–3.3 | Nanoclay increased thixotropy and dynamic yield stress at all PCE dosages. A half-percent of nanoclay maintained high thixotropy even at high PCE dosages. A nanoclay and PCE combination allows for the achievement of low dynamic yield stress yet high thixotropy, which is desirable for applications like 3D printing. |
Tarhan and Sahin [20] | CEM I 52.5 R white cement, GGBS, calcined kaolin clay, silica sand, PP fibers, SP, VMA, cement hydration control agent, setting accelerator, air-entraining | -Water/binder: 0.35, -GGBS: 20% of cement weight, -PP: 0.2% of mixture volume, -Total aggregate: 1.24 binder amount, -Air-entraining admixture: 0–0.2% of binder | -Anton Paar RheolabQC rotational rheometer, -Bingham model for rheological analysis | -Yield stress range: 50–262 Pa, -Viscosity range: 24,606–47,697 mPa.s, -Thixotropy range: 18,288–25,877 Pa/s | Air-entraining admixture decreased yield stress and viscosity but interestingly increased thixotropy of 3D printable mortar mixes. The rheological properties were found suitable for 3D printing applications. |
Bos et al. [64] | PC, FA, SF, sand, SP | Water/binder ratio: 0.45 | -Schleibinger Viskomat XL rheometer -Bingham model for rheological analysis | -Static yield stress: 630–3180 Pa, -Dynamic yield stress range: 40–1450 Pa (initial values), -Thixotropy -(Rthix) range: 4.9 to 6.6 Pa/s, -Athix range: 0.6 to 3.1 Pa/s | Different test methods provided varying and sometimes conflicting results for material property development. Shear strength correlations required assuming high friction angles tied to Mohr–Coulomb failure. |
Panda et al. [110] | OPC, FA, microsilica, sodium sulphate, sand, nanoclay (AG) | -Water/binder: 0.30, -Sand/binder: 0.83, -Time: 0–150 min after mixing, -Nanoclay content: 0–0.5% of binder | -Anton Paar MCR 102 rheometer | -Yield stress range: ~4000 Pa | Nanoclay enhanced early stiffness and green strength, improving buildability. A mathematical model was created to predict layer deformation during printing based on material properties and time. |
Harbouz et al. [111] | Cement, sand, SP, VMA, supplementary cementitious materials (SCM) (FA, SF, limestone filler, kaolinite) | -Water-to-binder ratio: 0.28, -SP dosage: 0.3–1.2% by weight of cement, -VMA dosage: 0–1.5% by weight of cement, SCM types and combinations | -Discovery hybrid rheometer with vane-in-cup geometry | -Initial static yield stress: 100–500 Pa, -Athix: 4–15 Pa/min, -Rthix: 5–23 Pa/min, -Viscosity recovery rate (R): 0.4–0.95 | The study proposed a new “WEB” (workability, extrudability, buildability) approach for assessing printability. Optimal printability was achieved with 0.006 < W < 0.015, E > 2.5, and B < 2, where W, E, and B are indices derived from rheological parameters. |
Zhang et al. [40] | Cement, sand, SP (HRWR), nanoclay, SF, thickening agent | -Water-to-cement: 0.35, -Sand-to-cement (S/C): 0.6 to 1.5 | -Rheometer and Bingham Model | -Viscosity: 3.8–4.5 Pa.s, -Yield stress: 178.5–359.8 Pa, Thixotropy: <6284.5 Pa/s | The study identified an optimal S/C ratio range of 1.0–1.2 for 3D printing concrete, balancing pumpability, extrudability, and buildability. |
Mohan et al. [112] | Cement (CEM I 52.5 N), GGBS, fine aggregate (max 2 mm), SP, VMA | -Water-to-binder: 0.35, -Aggregate-to-binder (a/b): 1.0 to 1.8, -SP dosage: adjusted to maintain flow value of 50–60% | -Anton Paar MCR-52 dynamic shear rheometer -Tribometer tests, -Krieger–Dougherty and Chateau–Ovarlez–Trung models for the analysis of the influence of aggregate content on the rheological behavior | -Plastic viscosity: 15.3–41.2 Pa·s -Yield stress: 627.6–828.4 Pa -Lubrication layer yield stress: 124.7–182.8 Pa -Lubrication layer viscous constant: 4399.5–5781.8 Pa.s/m | Increasing aggregate content significantly increased plastic viscosity and moderately increased yield stress and storage modulus of printable mixtures. The study demonstrated that rheological properties of both bulk concrete and lubrication layer influence on the pumping behavior of high-yield stress printable concretes. |
Chen et al. [113] | CSA, hydroxypropyl methyl cellulose (HPMC), water reducing agent (WRA), sodium gluconate (SG), ultrafine quartz sand, bentonite | -Water-to-cement ratio: 0.35, -Bentonite content: 0–3% of cement mass | -Rotational rheometer (kinexus lab+, Malvern), -Bingham model | -Dynamic yield stress: 602.53–717.77 Pa, -Plastic viscosity: 2.37–2.97 Pa.s, -Static yield stress: 580–730 Pa, -Thixotropic parameter: 0.267–0.574 | The addition of 2% bentonite achieved optimal 3D printability with plastic viscosity below 2.50 Pa·s and dynamic yield stress below 645.54 Pa. Bentonite improved structural stability and reduced deformation over time. |
Long et al. [114] | OPC, FA, SF, microcrystalline cellulose (MCC), superplasticizer (HRWRA), lithium carbonate (accelerator), fine aggregate (max 1 mm) | -Water-to-binder ratio: 0.27–0.35, -MCC content: 0–1.5 wt% of binder | -RM 100 touch rheometer, -Bingham model | -Plastic viscosity: 7.41–12.71 Pa.s -Yield stress: 414.14–1201.24 Pa -Thixotropy: 64,220.14–173,463.26 Pa/s | The addition of 1 wt% MCC provided optimal rheological properties and buildability for 3D printing. Compared to the control mix, plastic viscosity and yield stress increased by 20.9% and 190.0%, respectively. |
Tran et al. [115] | OPC, FA, SF, limestone powder, PP fiber, sand, SP | -Water-to-binder ratio (W/B): 0.22–0.30 -Sand-to-binder ratio (S/B): 0.58–0.94, -PP fiber content: 0–5.4 kg/m3, -SP dosage: 0.58–0.71% of binder | -ICAR rheometer -Bingham model | -Dynamic yield stress: 250–500 Pa -Plastic viscosity: 22–60 Pa.s | Water/binder ratio and PP fiber content significantly affected rheology. Early-age shrinkage was rapid, reaching 96% within 24 h. |
Souza et al. [116] | OPC, sucrose, commercial setting retarder (CSR), polycarboxylate ether-based superplasticizer (PCE), calcium chloride (CC), setting accelerator | -Water-to-cement ratio: 0.28–0.32, by cement weight: -CSR: 0–0.5%, -Sucrose: 0–0.5%, -PCE: 0–0.3%, -CC: 0–3.0%, -setting accelerator: 0–5.0% | -RheoWin HAAKE Viscotester iQ rheometer -Shear growth test for static yield stress | -Static yield stress: ~500–1800 Pa -Athix: 0.4–8.2 Pa/s | Setting retarders and superplasticizers improved open time but reduced buildability. Accelerators increased the structuration rate, but higher dosages were needed when used with superplasticizers. |
Nerella et al. [117] | CEM I 52.5 R cement, FA, micro-silica suspension, SP, set accelerator | -Water-to-cement ratio: 0.42, -SP: 0–0.75% -Accelerator: 0–2.5% -Cement replacement with SCMs: 0–45% by volume | -HAAKE MARS II coaxial rheometer -Stress growth test -Bingham model | -Static yield stress: ~0–260 Pa (varying with composition and age) -Athix: 0.07–1.83 Pa/min | A strain-based approach for measuring structural build-up was proposed, prioritizing a constant effective strain ≥1.5 over a constant shear rate. This method better characterizes stiffer printable mixes. |
Rubin et al. [118] | PC, natural quartz sand, limestone filler, SF, PCE, aluminum sulfate accelerator | -Water-to-cement: 0.35 -Water-to-binder: 0.32 -Accelerator dosage: 0–4% by cement weight -superplasticizer dosage: 0.003–0.007% by cement weight | -Direct shear test -Rotational rheometry (Schleibinger Viskomat XL) | -Static yield stress: ~2000–4000 Pa, -Athix: 0.67–9.66 Pa/s | Rotational rheometry yielded higher stress values than direct shear tests. Accelerators caused an exponential increase in yield stress at early ages. A new model for this exponential yield stress evolution was proposed, and an analytical model for predicting buildability was reviewed. |
Chen et al. [119] | CSA, metakaolin, HPMC, WRA, tartaric acid, water. | -Water 0.35, -Metakaolin 0–3% | -Rotational rheometer (Kinexus lab+, Malvern) -Bingham and Herschel–Bulkley models | -Static yield stress: 150–675 Pa -Dynamic yield stress: 303–675 Pa -Plastic viscosity: 2.4–2.57 Pa.s | Metakaolin addition improved yielding behaviors and thixotropy of 3D-printed CSA cement composites, leading to decreased structure deformation. The Herschel–Bulkley model was more suitable for analyzing dynamic rheological properties than the Bingham model |
Jayathilakage et al. [120] | Cement, graded coarse and fine sand, SF, SP, retarder, water | -Water/cement ratio: 0.25, -Variable: Layer width (20 mm and 30 mm nozzle sizes tested) | -Vane shear apparatus | -Initial yield stress: 300–1500 Pa | A Mohr–Coulomb-based buildability criterion was developed and validated, offering greater accuracy in predicting plastic collapse failure height. |
Name | Materials | Material Parameters | Test Equipments/Models | Rheological Properties | Key Findings |
---|---|---|---|---|---|
Panda et al. [162] | FA, GGBS, Potassium Silicate (K2SiO3), nanoclay (attapulgite clay), river sand, | -Activator-to-binder ratio: 0.35, -Water-to-solid ratio: 0.30, -Nanoclay content: 0.5% | -Stress growth test -Viscosity recovery test | -Static yield stress: ~1000 Pa -Viscosity recovery: ~1000 Pa | The study found that adding 0.5% nanoclay improved the yield stress and thixotropy of geopolymer mixes, enhancing their suitability for 3D printing applications. |
Zhang et al. [163] | GGBS, steel slag, sodium metasilicate, Sodium Hydroxide (NAOH), | -Water/binder ratio: 0.35, -sodium metasilicate (20–40 g), -NAOH (0–20 g), -Si/Na ratio: 0.5–1.0 | -Rheometer -Modified Bingham model | -Initial yield stress: 0.339–3.439 Pa, -Yield stress after 1–20 min rest: 1.71–5.30 Pa | The study found that lower Si/Na ratios led to higher yield stress and better structure-rebuilding ability, which are beneficial for 3D printing applications. |
Zhou et al. [164] | FA, GGBS, residue soil (RS), river sand, Sodium Silicate (Na2SiO3), NAOH, | -Water/solid ratio: 0.42, -sand/solid ratio: 1.0, -water reducer: 10%, RS content: 0–110% of binder mass | -Rheometer, -Bingham model | -Static yield stress:1496.4–3196.6 Pa, -Dynamic yield stress: 131.9–504.6 Pa, -Plastic viscosity: 5.73–10.49 Pa.s | Increasing RS content led to higher yield stress and viscosity, improving shape retention and buildability for 3D printing, but excessive RS content (>90%) negatively affected extrudability and mechanical properties. |
Paiva et al. [165] | Metakaolin, Potassium Hydroxide (KOH), K2SiO3, NaOH, Na2SiO3, natural sand | -Water/solids ratio: 0.40–0.50, -sand content: 0% or 40% volume per volume percent | -Rotational rheometer | -Static yield stress: ~400–4000 Pa (depending on composition and resting time) | Sodium-based activators produced geopolymers with higher initial yield stress compared to potassium-based activators. Lower water/solids ratios and sand addition improved rheological properties. |
Panda et al. [166] | FA, GGBS, SF, Na2SiO3, NaOH, Solution/binder ratio: 0.46 | -FA content: 90–100% -GGBS and SF contents: 0–10% | -MCR 102 rheometer | -Initial yield stress: ~330–660 Pa, -Thixotropy index (λ): 0.24–1.42 (after 1–20 min rest) | SF addition significantly improved yield stress and thixotropic behavior of geopolymer mixes, enhancing shape retention for 3D printing. |
Sandoand Stephan [167] | FA, GGBS, Na2SiO3 solution, NaOH, fine aggregate (for mortar mixes), | -Activator/binder ratio: 0.20, -Water/binder ratio: 0.16 | -Penetration test with Toni SET Force penetrometer | -Initial yield stress: ~2000–4000 Pa -Yield stress after 60 min: ~20,000–120,000 Pa | They highlight that mixing time significantly influences the printability of geopolymers. Shorter mixing durations lead to a stiffer consistency, which compromises extrudability and makes the material unsuitable for 3D printing applications. |
Guo et al. [168] | FA, slag powder, SF, anhydrous Na2SiO3 powder, quartz sand, ATTAGEL-50 | -10–30% slag powder -10–30% SF | -RVDV-2 type rotational viscometer -Bingham model, -Herschel–Bulkley model | -Apparent viscosity: ~10–70 Pa.s -Plastic viscosity: 5.5–8.80 Pa.s -Yield stress: 6.74–103.97 Pa | The addition of 10% slag powder and 10% SF improved the apparent viscosity and yield stress of the geopolymer mixture, enhancing its suitability for 3D printing. The Herschel–Bulkley model was found to be more accurate in characterizing the rheological behavior of the geopolymer mixtures compared to the Bingham model. |
Zhu et al. [169] | FA, GGBS, sand, NaOH, Na2SiO3 solution, polyethylene (PE) fibers | -GGBS content: 100–300 g, -NaOH content: 27–58 g, -sand content: 400–800 g, -PE fiber volume: 0–0.6% | -Anton Paar MCR302 dynamic shear rheometer, -Herschel–Bulkley model | -Yield stress: 7.93–57.86 Pa | Increasing GGBS and sand content improved stacking performance and fluidity while increasing NaOH content improved stacking but reduced fluidity. Adding PE fibers significantly increased yield stress but slightly reduced flowability. |
Brandvold and Kriven [170] | Metakaolin, K2SiO3 solution (potassium water glass) | -Temperature 5–55 °C -Shear rates: 25–100 s−1 | -Discovery Hybrid Rheometer 2 | -Yield stress: 15.5–393.22 Pa -Viscosity: ~7–15 Pa.s | Temperature greatly affects rheology. Higher temperatures (35–55 °C) lower initial viscosity but cause rapid increases in viscosity and yield stress due to accelerated geopolymerization. Lower temperatures (5–15 °C) result in higher initial viscosity but more stable properties, providing longer printing windows. |
Kashani and Ngo [171] | GGBS, FA, SF (ratios 3:1:0.5), sodium metasilicate powder, | -8 and 10% sodium metasilicate powder -0.31–0.35 w/s ratio | -Haake Rheometer (Viscotester 550) | -Initial yield stress: 680–1670 Pa | The optimal mixture (8 wt% activator, w/s ratio 0.33) exhibited suitable rheological properties for 3D printing with yield stress ~1400 Pa. |
Shahmirzadi et al. [172] | FA, GGBS, lead smelter slag, Graphene Oxide (GO), Nanoclay | -GO: 0–0.07 wt%, -nanoclay:0–0.50 wt%, -FA ratio: 1.0:0.0–0.5:0.5, -activator/binder: 0.35–0.40, -activator modulus: 1.5–2.1 24–50%, -relative humidity (RH), 35–50%, 35–90% | -HAAKE Viscotester 550 rheometer, -Anton Paar MCR 702 TwinDrive rheometer | -Static yield stress: ~1000 -Apparent viscosity (from structural rebuilding test): ~5000–23,000 mPa.s | Incorporating GO at 0.03–0.07 wt% significantly improved yield stress development and viscosity recovery compared to nanoclay. GO-modified mixes showed superior rheological properties for 3D printing, with higher viscosity recovery (66.5% for 0.07% GO vs 55.8% for 0.5% nanoclay). |
Lv et al. [173] | GGBS, sodium carboxymethyl starch (CMS) as a modifying agent, water glass, NaOH, | -Water/solid content: 0.37, -CMS content: 0–3% by weight of GGBS | -Anton Paar MCR-301 rheometer, -Bingham model, -Herschel–Bulkley model | -Yield stress: 0.99–23.87 Pa -Plastic viscosity: 0.05869–12.0394 Pa.s -Thixotropy: 88.70–3515.80 Pa/s | CMS significantly enhanced the rheological properties of alkali-activated slag paste, improving yield stress, plastic viscosity, and thixotropy, making it suitable for 3D extrusion forming. |
Sariyev et al. [174] | FA, polypropylene (PP) fibers, Na2SiO3, NaOH (NaOH), | -Alkaline solution-to-binder ratio: 0.4, -PP fiber content: 0–1% by volume | -Anton Paar MCR 102 rotational rheometers, -Herschel–Bulkley | -Yield stress: 30–95 Pa, -Static yield stress range for optimal extrusion: 30–70 Pa | The optimal PP fiber content range of 0.25–0.5% provided balanced rheological properties for 3D printing, enhancing performance without complicating the extrusion process. |
Chen et al. [175] | FA, GGBS, nanocellulose (Nano-fibrillated cellulose (NFC) and Micro-fibrillated cellulose (MFC)), magnesium oxide (MgO) | -MgO: 0–2%, -NFC: 0–2%, -MFC: 0–2%, -calm breeze and strong wind condition: ~0.03–0.05–0.1 kg/m2/hr evaporation rate | -Viskomat XL concrete rheometer | -Yield stress: 37.12–79.68 Pa -Plastic viscosity: 1.84–2.64 Pa.s -Thixotropy: 1308–6158 Pa/s | Adding nanocellulose (NFC or MFC) significantly increased yield stress, plastic viscosity, and thixotropy of geopolymer paste, improving printability and buildability. NFC had a greater effect than MFC. |
Saadati and Kani [176] | Phosphorous slag, Mullite (obtained from calcined kaolinite), Silica sand, NaOH, Na₂SiO₃, | -Sand/binder ratio: 0.6, -Liquid/solid ratio: 0.43, -Mullite content: 2–15% -Si/Na ratio: 0.2–0.6 | -MCR 302 Anton Parr rheometer, -Herschel–Bulkley | -Yield stress: ~13–35 Pa -Plastic viscosity: 0.8–1.6 Pa -Apparent viscosity: ~2–30 Pa.s | Geopolymer pastes follow the Herschel–Bulkley fluid model and exhibit thixotropic behavior. The geopolymer mixture prepared with 5% mullite and a Si/Na ratio of 0.4 showed optimal rheological properties for 3D printing applications. |
Brandvold et al. [177] | Metakaolin (Metamax HRM), K2SiO3 solution, sand, basalt fibers | -Sand content: 30–60 wt% -Basalt fiber length: 3.175–12.7 mm -Squeeze flow rate: 0.1–3.0 mm/s | -Discovery Hybrid Rheometer-2 | -Yield stres: 2.77 Pa | Geopolymer composites with 50–60 wt% sand and 3 wt% basalt fiber exhibited rheological properties comparable to Ordinary Portland Cement (OPC), showing potential for 3D printing applications. |
Brandvold et al. [178] | Metakaolin (MetaMax), K2SiO3 solution | -Shear rates: 10–250 s−1, -Resting times: 0–140 min (in 10-min increments) | -Discovery Hybrid Rheometer-2 | -Viscosity range: 1.95–5.79 Pa.s (at shear rates 10–50 s−1) | Geopolymer pastes exhibit strong thixotropic behavior, with full thixotropic restructuring occurring around 90–100 min of total undisturbed rest time. Reaching a state of full thixotropic disturbance heavily depends on subjected processing parameters. |
Souza et al. [179] | Metakaolin, NaOH, Na2SiO3, additional water | -Na2SiO3: 6.4–33.9 wt%, -Additional water: 0–4.3 wt% | -HAAKE MARS III rheometer | -350–800 Pa Yield stress | Temperature manipulation can effectively control the reaction rate of geopolymers and their rheological properties during printing. High-fluid mixtures can be quickly turned into buildable ones through systematic heating. |
Ma et al. [180] | Metakaolin-based geopolymers activated by Na+, K+, or Cs+ ions Triton X-100, PEG, PVA, and Kaolin as rheology modifiers | -Triton content: 0–2.50%, -PEG content: 0–3.75%, -PVA content: 0–3.75%, kaolin content: 0–60% | -DHR-1 rheometer (TA Instruments), -Bingham model, -Herschel–Bulkley model | -Yield stress range: 308.0–1765.9 Pa -Viscosity range: 28.3–180.7 Pa.s | The Triton–Kaolin rheology modifier combination demonstrated universality in rheological control of Na+-, K+-, and Cs+-based geopolymer inks, with the corresponding minimum slump rates of 0.7%, 0.4%, and 0.8%, respectively. |
Ramakrishnan et al. [181] | Metakaolin, Na2SiO3, OPC, FA, GGBS, silica sand (fine and coarse), sucrose (1 wt% of binders as retarder) | -OPC (0–25% replacement of FA or slag) | -Viskomat XL rheometer | -Static yield stress range: 4.6–168.9 kPa (at 30 min) | Two-part printhead mixing of geopolymer and OPC slurries allows for rapid setting and strength development after extrusion while maintaining good pumpability. Replacing FA with 25% OPC showed the best performance, with 17× higher static yield stress. |
Panda et al. [122] | FA, GGBS, SF, K2SiO3 solution, KOH, fine river sand, thixotropic additives (Actigel and cellulose). | - | -Viskomat XL rheometer, -Bingham model | -Thixotropic index: Minimum value of 10,000 (area between up and down curve of T-N graph) | The developed geopolymer mixture exhibited suitable rheological properties for 3D printing, with a printable thixotropic zone identified for extrusion-based applications. |
Rahemipoor et al. [182] | FA, Microencapsulated Phase Change Materials (MEPCM), Na2SiO3, NaOH | -MEPCM content: 0–20 vol% | -Anton Paar Physica MCR 502 rheometer, -Bingham model | -Yield stress: ~30–530 Pa -Plastic viscosity: ~10–90 Pa.s | MEPCM served as both a thermal energy management component and a viscosity modifier for 3D printable geopolymer paste. |
Ranjbar et al. [183] | FA, halloysite nanotube (HA), meta-halloysite (MHA) (calcined at 800 °C), Na2SiO3, NaOH, silica sand | -HA/MHA content: 0–15 wt% of FA | -Anton Paar Physica MCR 502 rheometer | -Static yield stress: ~1000–1700 Pa | Adding just 1–2 wt% halloysite significantly increased rheological properties and buildability of 3D printable geopolymer mortars without compromising mechanical strength. MHA accelerated setting time compared to untreated HA. |
Sun et al. [184] | GGBS, Calcium carbonate powder, Na2SiO3, NaOH, CMS | -CMS content: 0–8% by weight of total solids, -Water-solid ratio: 28 wt% | -Anton Paar MCR 301 rotational rheometers, -Herschel–Bulkley model | -Plastic viscosity: 10.08–75 Pa.s, -Yield stress: ~1–70 Pa | The addition of CMS significantly enhanced the rheological properties of geopolymer composites, improving workability and shape retention during 3D printing. Optimal CMS content was found to be between 4% and 6%, which provided suitable viscosity and yield stress for extrusion. |
Name | Materials | Material Parameters | Test Standarts/Equipments/Models | Rheological Properties | Key Findings |
---|---|---|---|---|---|
Biggerstaff et al. [200] | Lunar regolith simulant (JSC-1A), bovine blood proteins (AP920), deionized water | -Biopolymer solution concentration: 34.5–37.9%, -biopolymer–soil ratio: 10–19.9%, -moisture content: 15.5–36.7% | -ASTM C230, ASTM C1437 minicone slump test, -cylindrical slump test, -elastic–plastic slump model | -Dynamic yield stress: 8–1438 Pa -Static yield stress: 52–1438 Pa | The post-printing height of a 3D-printed biopolymer-bound soil composite layer can be accurately predicted using an elastic–plastic slump model based on yield stress, wet elastic modulus, and density. |
Alqenaee and Memari [201] | Clay, sand, water, lime, straw | -Clay: 38.5–52.6%, -Sand: 11.1–17.7%, -Water: 24.2–34.3%, -Lime: 7.4–11.6%, -Straw: 0–1.5% | ASTM D4318–17 Plasticity test: hand rolling procedure for workability | Printability and buildability were evaluated qualitatively through printing tests | The optimal printable mixture contained 49% clay, 24.2% water, 15.3% sand, 10% lime, and 1.5% straw. Three-dimensional-printed specimens generally showed higher strength than cast specimens. |
Ji et al. [202] | Four different soils, flax fiber, sand | -Clay: 4–31%, -Silt: 11–41%, -Sand: 39–80%, -Water content: 18–45% | -Fall cone test | -Yield stress: max 2000 Pa (varies with water content) | Shrinkage is reduced by decreasing water content and increasing sand content. Extrudable mixtures had yield stress < 2000 Pa for Guerande soil and <1500 Pa for Ballan Mire soil. |
Perrot et al. [198] | Raw earth, alginate (Cimalgin HS3) | -Earth: 100%, -Water: 45%, -Alginate: 3% (of earth mass) | -Vane test for yield stress measurement, -penetration test for green strength and elastic modulus. | Initial yield stress: 1500 Pa | The addition of alginate allowed for the rapid development of green strength, enabling the printing of a 3 m-high wall in 1 day. |
Asaf et al. [203] | Sand, kaolinite clay (white, chocolate, and Mamshit varieties) | -Clay content: 19.4–33%, -Sand content: 49.1–65.5%, -Water content: 15.1–18.2% | -ICAR Plus rotational rheometer | -Static yield stress: ~1000–3000 Pa, -Dynamic yield stress: ~500–2000 Pa -Apparent viscosity: ~5–20 Pa.s | Flow table spread and rigidity coefficient correlate strongly with pumpability and stability. Higher kaolinite content enhances thixotropy, while coarser particles increase static yield. An analytical model based on rheological properties accurately predicted cylinder collapse during printing. Optimal mixtures balanced flowability and stability, with 28.6% clay content performing best. |
Benzerara et al. [204] | Raw earth, diss fibers, date palm tree fibers, xanthan gum (XG), sodium hexametaphosphate (HMP) | -Earth: 49.1–65.5%, -Fibers: 1.5–3% by volume, -Water: 23–28%, -XG: 0.5–2% of dry earth mass, -HMP: 0.3% of dry earth mass | -ASTM D4318 Cone penetrometry test | - | It was found that the materials tested could be extruded when the depth of penetration varied between 3 and 5 mm. |
Biggerstaff et al. [205] | JSC-1A lunar regolith simulant, bovine blood proteins (AP920), deionized water | -Biopolymer solution concentration: 34.5–37.9%, -Biopolymer–soil ratio: 10–19.9%, -Moisture content: 15.5–36.7%, -Soil volume fraction: 0.321–0.548 | -Steady stress sweep test, -constant shear rate test with ARES-G2 Rheometer | -Static yield stress: 46–3644 Pa, -Dynamic yield stress: 6–3786 Pa | Soil volume fraction range of 0.435–0.548 was identified as suitable for 3D printing based on extrudability and shape stability requirements. The Chateau–Ovarlez–Trung model accurately predicted dynamic yield stress up to a soil volume fraction of 0.52, while De Larrard’s model better predicted static yield stress across the full range. |
Maierdan et al. [206] | Kaolinite clay, sodium alginate, distilled water | -Kaolinite content: 40–120 g per 50 g water, -Alginate content: 0–2.4% by mass of water | -TA DHR 20 Rheometer with vane geometry | -Static yield stress: ~10–450 Pa, -Dynamic yield stress: ~10–300 Pa | Sodium alginate increased electrostatic repulsion between kaolinite particles, reducing flocculation and sedimentation. This decreased yield stress and storage modulus by orders of magnitude at low alginate contents. Above a critical concentration of 0.12–0.6%, alginate formed a polymer network that increased yield stress and modulus. Alginate addition shifted the printable clay content range to higher values, with potential benefits for strength and shrinkage. |
Maierdan et al. [207] | Kaolinite clay, XG, water, sand (for compressive strength tests only) | -Water/clay ratio: 0.83–1.25, -XG concentration: 0–5.5% by weight of water | -TA DHR 20 rheometer with vane geometry, -Bingham model | Not specified for “Printable” mixture (5% XG, 0.83 water/clay ratio) | XG initially disperses clay particles, decreasing yield stress and viscosity. Above 0.6% concentration, XG forms a polymer network, increasing these properties and enabling 3D printability at 5% XG content. |
Tarhan et al. [208] | Raw earth (RE), quarry wash mud (QWM), sea sand (SS), | -RE: 44%, -QWM: 16%, -SS: 40%, -Water: 21% | -Fall cone test (EN ISO 17892-6), -Vane shear test (ASTM D4648/D4648M-16, RheolabQC SN80518563 rotational rheometer | -Yield stress: 806.31 Pa (fall cone test), -Shear strength: 1590 Pa (vane shear test) | The earth-based mixture demonstrated remarkable stability with consistent shear strength values, ensuring its rheological properties remained unchanged, allowing for long-term, uninterrupted construction without concerns about flow variations. A lime-based mixture was also developed, becoming workable after a second mixing, highlighting the importance of proper mixing for rheological purposes. |
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Tarhan, Y.; Tarhan, İ.H.; Şahin, R. Comprehensive Review of Binder Matrices in 3D Printing Construction: Rheological Perspectives. Buildings 2025, 15, 75. https://doi.org/10.3390/buildings15010075
Tarhan Y, Tarhan İH, Şahin R. Comprehensive Review of Binder Matrices in 3D Printing Construction: Rheological Perspectives. Buildings. 2025; 15(1):75. https://doi.org/10.3390/buildings15010075
Chicago/Turabian StyleTarhan, Yeşim, İsmail Hakkı Tarhan, and Remzi Şahin. 2025. "Comprehensive Review of Binder Matrices in 3D Printing Construction: Rheological Perspectives" Buildings 15, no. 1: 75. https://doi.org/10.3390/buildings15010075
APA StyleTarhan, Y., Tarhan, İ. H., & Şahin, R. (2025). Comprehensive Review of Binder Matrices in 3D Printing Construction: Rheological Perspectives. Buildings, 15(1), 75. https://doi.org/10.3390/buildings15010075