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A Grammar-Based Algorithm for Tool-Path-Generation (2022-04)

Compensating for Material-Deformation in the Additive Manufacturing of Concrete

10.1016/j.addma.2022.102803

Ashrafi Negar,  Nazarian Shadi,  Meisel Nicholas,  Duarte José
Journal Article - Additive Manufacturing, Vol. 55

Abstract

In architecture, AM technologies have been used for rapid prototyping since the early 1990s. However, using AM for automated building construction represent a revolution for the industry that requires modeling the complex relationships between materials, printing system, and designs. An important aspect of research in this area is the deformation of concrete during printing and how it affects shape accuracy and structural stability of the printed geometries. A previous experimental study proposed a series of equations to predict material deformation for a specific concrete mix. This study incorporates these equations in a shape grammar-based algorithm to decompose complex geometries into simpler ones, slice the simpler geometries, and generate compensated toolpaths. The algorithm was implemented in Grasshopper, a Rhino plugin, and it can be used as a 3D slicer specifically for 3D printing concrete purposes. The slicer is validated with two printing experiments, involving a simple and a complex shape. The algorithm can be extended to other material mixes by developing similar experimental studies and incorporating the resulting equations.

4 References

  1. Ashrafi Negar, Duarte José, Nazarian Shadi, Meisel Nicholas (2018-10)
    Evaluating the Relationship Between Deposition and Layer-Quality in Large-Scale Additive Manufacturing of Concrete
  2. Ashrafi Negar, Nazarian Shadi, Meisel Nicholas, Duarte José (2021-08)
    Experimental Calibration and Compensation for the Continuous Effect of Time, Number of Layers and Volume of Material on Shape Deformation in Small-Scale Additive Manufacturing of Concrete
  3. Ashrafi Negar, Nazarian Shadi, Meisel Nicholas, Duarte José (2020-10)
    Experimental Prediction of Material-Deformation in Large-Scale Additive Manufacturing of Concrete
  4. Buswell Richard, Silva Wilson, Jones Scott, Dirrenberger Justin (2018-06)
    3D Printing Using Concrete-Extrusion:
    A Roadmap for Research

16 Citations

  1. Shilar Fatheali, Shilar Mubarakali (2025-12)
    Performance-Based Analysis of 3D Printed Geopolymers Relating Durability, Microstructure, and Life Cycle Assessment
  2. Flor-Unda Omar, Toapanta Carlos, Fuentes Mauricio, Rivera Mario (2025-07)
    Additive Manufacturing Technologies:
    Advances for the Construction Industry
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    Reinforcement Learning-Based Continuous Path Planning and Automated Concrete 3D Printing of Complex Hollow Components
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    3D-Printed Earth-Fiber Envelopes:
    Optimization of Thermal Performance and Industrial Applicability
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    Multi-Physics Modelling of 3D-Printed Concrete Evolution in Environmental Conditions
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    Exploring Multi-Directional 3D Printing for Enclosures on Earth and Beyond:
    Sensitivity-Analysis of Buildability
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    Development of a Generative Design System for 3D Printed Houses in Chile
  8. Farrokhsiar Paniz, Gürsoy Benay, Duarte José (2024-08)
    A Comprehensive Review on Integrating Vision-Based Sensing in Extrusion-Based 3D Printing Processes:
    Toward Geometric Monitoring of Extrusion-Based 3D Concrete Printing
  9. Duarte Gonçalo, Brown Nathan, Duarte José (2024-07)
    Workflow for Generating, Simulating, and Optimizing Form and Tool-Path in 3D Concrete Printing of Vaults
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    From BIM-Model to 3D Construction Printing:
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    Development and Performance Evaluation of Fibrous Pseudoplastic Quaternary Cement Systems for Aerial Additive Manufacturing
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    Advancing 3D Concrete Printing for Affordable Housing:
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    Design-Optimization Workflow for 3D Concrete Printing of Spanning Structures
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    Designing a Habitat for 3D Concrete Printing in Permafrost-Regions
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    Development of Variable Residential Buildings with 3D Printed Walls

BibTeX
@article{ashr_naza_meis_duar.2022.AGBAfTPG,
  author            = "Negar Ashrafi and Shadi Nazarian and Nicholas A. Meisel and José Pinto Duarte",
  title             = "A Grammar-Based Algorithm for Tool-Path-Generation: Compensating for Material-Deformation in the Additive Manufacturing of Concrete",
  doi               = "10.1016/j.addma.2022.102803",
  year              = "2022",
  journal           = "Additive Manufacturing",
  volume            = "55",
}
Formatted Citation

N. Ashrafi, S. Nazarian, N. A. Meisel and J. P. Duarte, “A Grammar-Based Algorithm for Tool-Path-Generation: Compensating for Material-Deformation in the Additive Manufacturing of Concrete”, Additive Manufacturing, vol. 55, 2022, doi: 10.1016/j.addma.2022.102803.

Ashrafi, Negar, Shadi Nazarian, Nicholas A. Meisel, and José Pinto Duarte. “A Grammar-Based Algorithm for Tool-Path-Generation: Compensating for Material-Deformation in the Additive Manufacturing of Concrete”. Additive Manufacturing 55 (2022). https://doi.org/10.1016/j.addma.2022.102803.