Digital design computing and modelling for 3-D concrete printing

Nguyen‐Van, Vuong; Panda, Biranchi; Zhang, Kevin; Nguyen‐Xuan, H.; Tran, Phuong

doi:10.1016/j.autcon.2020.103529

Cited by 57 publications

(11 citation statements)

References 25 publications

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“…The integration of 3DPC in the design and construction of built environments brings many promising advantages, such as minimal manpower and labor costs, rapid fabrication, reduction of construction wastes, cost-effectiveness, formwork-free construction, and increased flexibility with precise architectural design. In addition to conventional building components, entirely unique and complex configurations, which are not viable with conventional formwork, can be constructed using 3DPC [10,[12][13][14][15]. In addition, 3DPC provides lesser self-weight structures with topology optimization, and further reduction of weight and enhanced thermal insulation properties could be achieved by developing mix designs using materials with low thermal conductivity [16,17].…”

Section: Introductionmentioning

confidence: 99%

Energy Performance of 3D-Printed Concrete Walls: A Numerical Study

et al. 2021

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Three-dimensional-printed concrete (3DPC), which is also termed as digital fabrication of concrete, offers potential development towards a sustainable built environment. This novel technique clearly reveals its development towards construction application with various global achievements, including structures such as bridges, houses, office buildings, and emergency shelters. However, despite the enormous efforts of academia and industry in the recent past, the application of the 3DPC method is still challenging, as existing knowledge about its performance is limited. The construction industry and building sectors have a significant share of the total energy consumed globally, and building thermal efficiency has become one of the main driving forces within the industry. Hence, it is important to study the thermal energy performance of the structures developed using the innovative 3DPC technique. Thermal characterization of walls is fundamental for the assessment of the energy performance, and thermal insulation plays an important role in performance enhancements. Therefore, in this study, different wall configurations were examined, and the conclusions were drawn based on their relative energy performance. The thermal performance of 32 different 3DPC wall configurations with and without cavity insulation were traced using validated finite element models by measuring the thermal transmittance value (U-value). Our study found that the considered 3DPC cavity walls had a low energy performance, as the U-values did not satisfy the standard regulations. Thus, their performance was improved with cavity insulation. The simulation resulted in a minimum thermal transmittance value of 0.34 W/m2·K. Additionally, a suitable equation was proposed to find the U-values of 100 mm-thick cavity wall panels with different configurations. Furthermore, this study highlights the importance of analytical and experimental solutions as an outline for further research

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Section: Introductionmentioning

confidence: 99%

Energy Performance of 3D-Printed Concrete Walls: A Numerical Study

et al. 2021

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“…This challenge has been widely acknowledged by the research community. Although traditional polymer-based material extrusion AM may incorporate numerous start and stop moves when printing the infill and shells of a given cross-sectional area, concrete printing requires a toolpath that eliminates these travel moves and instead prints one continuous bead throughout a layer (see e.g., Nguyen-Van et al, 30 Wan et al, 31 and Weng et al 32 ). The robotic system presented in this article relies on a similar approach.…”

Section: Digital Path Planningmentioning

confidence: 99%

Design and System Considerations for Construction-Scale Concrete Additive Manufacturing in Remote Environments via Robotic Arm Deposition

Meisel

Watson

Bilén

et al. 2022

3D Printing and Additive Manufacturing

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This work explores additive manufacturing (AM) of concrete by using a six-axis robotic arm and its use in large-scale, autonomous concrete construction. Concrete AM uses an extrusion method to deposit concrete beads in layers to create a three-dimensional (3D) shape. This method has been found to have many uses and advantages in construction applications. The lack of formwork and autonomous nature of this manufacturing method allows for new geometries and materials to be printed in unsafe or challenging environments. Autonomous construction has been suggested as a method of creating habitats in rapid-response scenarios. This article discusses research toward one such system that could be used to rapidly construct necessary habitats in response to low-resource and emergency situations. This required addressing certain limitations of a six-axis robotic arm platform along with overcoming system challenges to achieve deliverables for NASA's ''3D Printed Habitat Challenge.'' This included system design to increase the build volume, integrate embedding, print non-coplanar sections, and minimize travel moves to address the challenges associated with continuous extrusion of cementitious material. The system was demonstrated by printing a one-third scale habitat, which represents the first 3d-printed fully enclosed structure at an architectural scale without the use of support.

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“…Now, this concept is spreading to all industrial fields. In particular, the core technologies of the fourth industrial revolution-artificial intelligence, Internet of Things (IoT) [1,2], cloud computing [3], big data analysis [4,5], smart/wearable devices [6], virtual/augmented/mixed reality [7], 3D printing [8], drones [9], autonomous driving [10], and robotics-are proliferating other fields.…”

Section: Introductionmentioning

confidence: 99%

Lab Scale Model Experiment of Smart Hopper System to Remove Blockages Using Machine Vision and Collaborative Robot

Kim

Choi

2022

Applied Sciences

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In this study, we propose a smart hopper system that automatically unblocks obstructions caused by rocks dropped into hoppers at mining sites. The proposed system captures RGB (red green blue) and D (depth) images of the upper surfaces of hopper models using an RGB-D camera and transmits them to a computer. Then, a virtual hopper system is used to identify rocks via machine vision-based image processing techniques, and an appropriate motion is simulated in a robot arm. Based on the simulation, the robot arm moves to the location of the rock in the real world and removes it from the actual hopper. The recognition accuracy of the proposed model is evaluated in terms of the quantity and location of rocks. The results confirm that rocks are accurately recognized at all positions in the hopper by the proposed system.

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Digital design computing and modelling for 3-D concrete printing

Cited by 57 publications

References 25 publications

Energy Performance of 3D-Printed Concrete Walls: A Numerical Study

Energy Performance of 3D-Printed Concrete Walls: A Numerical Study

Design and System Considerations for Construction-Scale Concrete Additive Manufacturing in Remote Environments via Robotic Arm Deposition

Lab Scale Model Experiment of Smart Hopper System to Remove Blockages Using Machine Vision and Collaborative Robot

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