Inclusive characterization of 3D printed concrete (3DPC) in additive manufacturing: A detailed review
This review paper aims to provide an inclusive characterization of the use of concrete in
additive manufacturing by exploring the various parameters that affect the extrudability …
additive manufacturing by exploring the various parameters that affect the extrudability …
[HTML][HTML] Predictive modeling for compressive strength of 3D printed fiber-reinforced concrete using machine learning algorithms
Abstract Three-dimensional (3D) printing in the construction industry is growing rapidly due
to its inherent advantages, including intricate geometries, reduced waste, accelerated …
to its inherent advantages, including intricate geometries, reduced waste, accelerated …
Incorporating coarse aggregates into 3D concrete printing from mixture design and process control to structural behaviours and practical applications: a review
Three-dimensional concrete printing (3DCP) is progressing from lab pilots to large-scale
manufacturing, encountering limitations with conventional printable material–cement mortar …
manufacturing, encountering limitations with conventional printable material–cement mortar …
[HTML][HTML] Advancing mix design prediction in 3D printed concrete: Predicting anisotropic compressive strength and slump flow
Introducing 3D-concrete printing has started a revolution in the construction industry,
presenting unique opportunities alongside undeniable challenges. Among these, the major …
presenting unique opportunities alongside undeniable challenges. Among these, the major …
ANN-based predictive mimicker for the constitutive model of engineered cementitious composites (ECC)
The enhanced mechanical and durability properties of Engineered Cementitious composite
(ECC) make it famous worldwide. However, due to the unavailability of material design …
(ECC) make it famous worldwide. However, due to the unavailability of material design …
Material extrusion filament width and height prediction via design of experiment and machine learning
X Shi, Y Sun, H Tian, PM Abhilash, X Luo, H Liu - Micromachines, 2023 - mdpi.com
The dimensions of material extrusion 3D printing filaments play a pivotal role in determining
processing resolution and efficiency and are influenced by processing parameters. This …
processing resolution and efficiency and are influenced by processing parameters. This …
[HTML][HTML] A predictive mimicker for mechanical properties of eco-efficient and sustainable bricks incorporating waste glass using machine learning
SA Khokhar, A Khan, A Siddique… - Case Studies in …, 2023 - Elsevier
Urbanization, industrialization, and economic growth all contribute to the rising demand for
bricks. The world is heading towards sustainable, eco-friendly, recyclable materials to …
bricks. The world is heading towards sustainable, eco-friendly, recyclable materials to …
[HTML][HTML] Augmented Data-Driven Approach towards 3D Printed Concrete Mix Prediction
Formulating a mix design for 3D concrete printing (3DCP) is challenging, as it involves an
iterative approach, wasting a lot of resources, time, and effort to optimize the mix for strength …
iterative approach, wasting a lot of resources, time, and effort to optimize the mix for strength …
Development of Prediction Method for Dimensional Stability of 3D-Printed Objects
Fused deposition modeling (FDM), as one of the additive manufacturing processes, is
known for strong layer adhesion suitable for prototypes and end-use items. This study used …
known for strong layer adhesion suitable for prototypes and end-use items. This study used …
Performance Comparison of Artificial Neural Network and Random Forest Models for Predicting the Compressive Strength of Fibre-Reinforced GGBS-Based …
Fibre reinforcement is essential in the geopolymer concrete (GPC) matrix to enhance
deformation resistance and mitigate fracture propagation under tensile and bending …
deformation resistance and mitigate fracture propagation under tensile and bending …