Article
Computer Science, Software Engineering
Giacomo Nazzaro, Enrico Puppo, Fabio Pellacini
Summary: This article presents a method for decorating 3D digital shapes with tangles. By using a recursive application of a few operators, complex recursive patterns can be directly created on the object surface while maintaining interactive speed.
ACM TRANSACTIONS ON GRAPHICS
(2022)
Article
Computer Science, Software Engineering
Caigui Jiang, Hui Wang, Victor Ceballos Inza, Felix Dellinger, Florian Rist, Johannes Wallner, Helmut Pottmann
Summary: This study successfully represents free forms through precise isometric bending of surfaces made from a small number of molds, solving the paneling task with surfaces of constant Gaussian curvature. The research also explores interesting connections between the paneling problem and the geometry of Killing vector fields, designing and actuating isometries, curved folding in the case of double-curved surfaces, and quad meshes with rigid faces that remain flexible.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Chemistry, Multidisciplinary
Olav U. Bjorken, Benjamin Andresen, Sindre W. Eikevag, Martin Steinert, Christer W. Elverum
Summary: The limitations of DfAM lie in the knowledge of materials and production parameters. By studying the effects of layer temperature, the concept of thermal layer design (TLD) was introduced to increase strength in selected regions. Implementing TLD represents a major advancement in designing high-performance polymer components.
APPLIED SCIENCES-BASEL
(2022)
Review
Engineering, Manufacturing
Shawkat Imam Shakil, Noah Robert Smith, Samuel Paul Yoder, Brenden Edward Ross, Dylan James Alvarado, Amir Hadadzadeh, Meysam Haghshenas
Summary: This review paper examines the combination of metal additive manufacturing (MAM) and post-MAM metal forming to provide insights into recent trends, applications, and challenges in hybrid manufacturing. It focuses on the benefits of hybrid manufacturing, applicable thermomechanical processing methods, and their impact on the evolution of structure and properties of additively manufactured parts. The paper also discusses the material and process relationship in order to optimize the manufacturing process for metallic components with the combined effort of MAM and metal forming.
JOURNAL OF MANUFACTURING PROCESSES
(2022)
Article
Computer Science, Software Engineering
Stefan Pillwein, Johanna Kubert, Florian Rista, Przemyslaw Musialski
Summary: Elastic geodesic grids (EGG) are lightweight structures that approximate designer provided free-form surfaces. Decomposing surfaces into smaller patches is an effective strategy to tackle limitations with more sophisticated design surfaces. This structure is suitable for various purposes like free-form sub-structures, panels, sun and rain protectors, etc.
COMPUTERS & GRAPHICS-UK
(2021)
Article
Green & Sustainable Science & Technology
Anna Garcia-Teruel, David I. M. Forehand
Summary: Hull shapes of wave energy converters have been optimized in the past to maximize power production and minimize costs. However, current optimization processes may require more complex objective functions to truly minimize the levelised cost of energy. This study discusses strategies for incorporating manufacturability considerations in the optimization process to generate wave energy converter shapes that are designed for a specific manufacturing process and have improved manufacturability characteristics.
Review
Thermodynamics
Shaochuan Feng, Amar M. Kamat, Yutao Pei
Summary: This study comprehensively evaluates the design, manufacturing, and applications of conformal cooling (CC) systems, introducing key design parameters and eight classification types of CC channels. CC channels can significantly improve part quality, reduce production costs, and be applied to advanced products requiring high-performance self-cooling.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2021)
Review
Construction & Building Technology
Matthias Leschok, Ina Cheibas, Valeria Piccioni, Bharath Seshadri, Arno Schluter, Fabio Gramazio, Matthias Kohler, Benjamin Dillenburger
Summary: This paper provides a comprehensive review of 3D printed facades, covering three main topics: computational design strategies, fabrication processes and materials, and performance assessment. The design section explores computational tools and methods for designing and producing 3D printed facades. The chapter on fabrication processes, materials, and applications demonstrates the potential of the technology for facade applications sorted by material groups. The performance assessment section discusses current approaches to evaluating and validating the performance of 3D printed facades. Finally, the paper addresses knowledge gaps, challenges, and future trends, offering insights into innovative solutions for facade design and fabrication.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Computer Science, Software Engineering
T. Alderighi, L. Malomo, T. Auzinger, B. Bickel, P. Cignoni, N. Pietroni
Summary: In this article, the authors review the automatic methods for the design of moulds, focusing on contributions from a geometric perspective. They classify existing mould design methods based on their computational approach and the nature of their target moulding process. The relationships between computational approaches and moulding techniques are summarized, and potential future research directions are discussed.
COMPUTER GRAPHICS FORUM
(2022)
Review
Engineering, Marine
Adebayo Ojo, Maurizio Collu, Andrea Coraddu
Summary: This paper reviews the Multidisciplinary Design Analysis and Optimization (MDAO) of substructures/platforms for Floating Offshore Wind Turbines (FOWT). It provides an overview of FOWT substructures' concepts, design techniques using geometric shape parameterization, and analysis approaches for response assessment. The paper also reviews MDAO frameworks and optimization algorithms used for FOWT substructures. The identified research gaps include advanced parametrization techniques, surrogate/meta models for quick sensitivity studies, and upscaling of optimal shape parameterized FOWT platforms with newer and heavier turbines.
Article
Materials Science, Ceramics
Sinuo Zhang, Imam Akbar Sutejo, Jeehwan Kim, Yeong-Jin Choi, Honghyun Park, Hui-suk Yun
Summary: Illite, a clay mineral with excellent adsorption properties, faces limitations in shape control, hindering its wide applications. This study overcomes this limitation using ceramic additive manufacturing (AM) and demonstrates the production of defect-free illite products with complex structures.
JOURNAL OF THE AMERICAN CERAMIC SOCIETY
(2022)
Review
Polymer Science
Abdulla Almesmari, Nareg Baghous, Chukwugozie J. Ejeh, Imad Barsoum, Rashid K. Abu Al-Rub
Summary: This review gathers recent research on the design, fabrication, and testing of polymeric metamaterials, categorizes their mechanical properties, and acts as a reference for future engineering applications. The study highlights the need for more expedient design methods, research on complex loading scenarios, and the use of machine learning algorithms to improve production quality.
Review
Engineering, Civil
Sian I. Evans, Jie Wang, Jian Qin, Yongpeng He, Paul Shepherd, Jialuo Ding
Summary: This paper provides a review of the capabilities of WAAM in manufacturing steel components for the construction industry, specifically focusing on the structural stability and design. It discusses manufacturing techniques for WAAM construction, reviews material and geometric properties, and evaluates the structural stability performance of WAAM steel structures. It also explores structural optimization techniques suitable for WAAM construction and concludes with future research directions.
Article
Chemistry, Multidisciplinary
David Herrero-Perez, Humberto Martinez-Barbera
Summary: This study presents the design and fabrication of an underwater soft gripper, utilizing soft robotics technology to address the limitations in versatility and robustness in underwater manipulation. The soft gripper is cost-effective, easily deployable, and capable of adapting to uncertain environmental conditions, with the ability to be rapidly redesigned for different applications. The feasibility and performance of the soft gripper are validated in a challenging underwater scenario using a subaquatic vehicle.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Physical
Jolanta Dzwierzynska, Patrycja Lechwar
Summary: The aim of this study is to develop an algorithmic-aided approach for designing curvilinear steel bar structures of modular roofs and optimizing their performance. By creating algorithmic definitions of structures, various roof structure variants that meet the criteria can be obtained. Genetic optimizations are carried out to eliminate unfavorable design variants and optimize the weight of structures with advantageous properties.
Article
Robotics
Gaia Pavoni, Massimiliano Corsini, Federico Ponchio, Alessandro Muntoni, Clinton Edwards, Nicole Pedersen, Stuart Sandin, Paolo Cignoni
Summary: Semantic segmentation is a widely-used image analysis task, and deep learning-based approaches have the potential to significantly reduce manual annotation time. However, current automated solutions may not meet expert standards. TagLab is introduced as an interactive tool that speeds up semantic segmentation by integrating multiple degrees of automation to empower human capabilities. Through a user study on coral community segmentation, TagLab demonstrated a 90% increase in annotation speed for nonexpert annotators without compromising labeling accuracy, and improved fully automatic predictions by 7% on average and by 14% in challenging cases. Preliminary investigations also suggest further significant reductions in annotation times.
JOURNAL OF FIELD ROBOTICS
(2022)
Article
Computer Science, Software Engineering
Nico Pietroni, Marcel Campen, Alla Sheffer, Gianmarco Cherchi, David Bommes, Xifeng Gao, Riccardo Scateni, Franck Ledoux, Jean Remacle, Marco Livesu
Summary: In this article, a comprehensive survey of hexahedral mesh generation techniques is provided, covering various approaches, post-processing algorithms, and associated challenges. The discussion also includes recent relaxed approaches for hex-dominant mesh generation. The required background knowledge in geometry and combinatorial aspects is introduced.
ACM TRANSACTIONS ON GRAPHICS
(2023)
Article
Humanities, Multidisciplinary
Gaia Pavoni, Francesca Giuliani, Anna de Falco, Massimiliano Corsini, Federico Ponchio, Marco Callieri, Paolo Cignoni
Summary: This article explores the potential of AI-based solutions to improve the efficiency of masonry annotation in Architectural Heritage, aiming to provide interactive tools that support and empower the current workflow.
ACM JOURNAL ON COMPUTING AND CULTURAL HERITAGE
(2022)
Article
Engineering, Civil
Francesco Laccone, Luigi Malomo, Marco Callieri, Thomas Alderighi, Alessandro Muntoni, Federico Ponchio, Nico Pietroni, Paolo Cignoni
Summary: Mesostructured patterns refer to a concept of designing the geometry of structural material at the meso-scale to achieve desired mechanical performances. This paper introduces a new constructional system called FlexMaps, which adopts bending-active mesostructures at the architectural scale. The system utilizes CNC-milled plywood panels in the form of four-arms spirals and seamlessly links all phases from conceptual design to fabrication within an automated workflow. The paper showcases the potential of the system through a demonstrator project and evaluates its structural response and long-term behavior through detailed analysis and survey.
JOURNAL OF THE INTERNATIONAL ASSOCIATION FOR SHELL AND SPATIAL STRUCTURES
(2022)
Article
Computer Science, Software Engineering
T. Alderighi, L. Malomo, T. Auzinger, B. Bickel, P. Cignoni, N. Pietroni
Summary: In this article, the authors review the automatic methods for the design of moulds, focusing on contributions from a geometric perspective. They classify existing mould design methods based on their computational approach and the nature of their target moulding process. The relationships between computational approaches and moulding techniques are summarized, and potential future research directions are discussed.
COMPUTER GRAPHICS FORUM
(2022)
Article
Computer Science, Interdisciplinary Applications
Francesco Laccone, Domenico Gaudioso, Luigi Malomo, Paola Cignoni, Maurizio Froli
Summary: In the context of tall building design, the use of the tube concept and the diagrid pattern has been efficient in providing structural support. However, to improve the architectural impact and aesthetic appeal, alternative geometries such as Voronoi mesh are gaining interest. This paper introduces a method called Vorogrid, which modifies the Voronoi mesh to create a more organic-looking and mechanically sound tube structure, offering design control and better average performances compared to random Voronoi structures.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Computer Science, Software Engineering
A. Maggiordomo, P. Cignoni, M. Tarini
Summary: We propose a technique that removes texturing artefacts in 3D models acquired using photogrammetry. Our technique utilizes recent advancements in inpainting of natural colour images and adapts them to the specific context. By employing a modified and trained neural network, we replace the defective texture areas with plausible patches of texels reconstructed from the surrounding surface texture. The method has two applications: a fully automatic tool that addresses all problems detected by analyzing the UV-map of the input model, and an interactive semi-automatic tool presented as a 3D 'fixing' brush that removes artefacts from any user-painted zone.
COMPUTER GRAPHICS FORUM
(2023)
Article
Computer Science, Software Engineering
Louis Pratt, Andrew Johnston, Nico Pietroni
Summary: This paper presents a new method for generating artworks using freeform reflective and refractive media and 3D surfaces instead of images. The method combines raytracing and surface deformation techniques to determine the proper deformation needed to correct the object's appearance when viewed in a specific location. An optimization process is also included to avoid unwanted optical effects or occlusions. The technique has been successfully tested on practical examples and used to create actual artworks.
COMPUTERS & GRAPHICS-UK
(2023)
Article
Engineering, Civil
Yuanpeng Liu, Ting-Uei Lee, Antiopi Koronaki, Nico Pietroni, Yi Min Xie
Summary: Space frame structures are favored in contemporary free-form architectural designs for their elegant appearance and excellent structural performance. However, the use of different shaped nodes in doubly-curved space frame structures leads to high manufacturing costs. In this study, a new clustering-optimization framework is proposed to reduce the variety of node shapes, achieving congruence while approximating a target surface. The method is validated through numerical examples and demonstrated in a complex architectural project.
ENGINEERING STRUCTURES
(2023)
Article
Computer Science, Software Engineering
F. Zoccheddu, E. Gobbetti, M. Livesu, N. Pietroni, G. Cherchi
Summary: HexBox is an intuitive method and tool for creating and editing hexahedral meshes. It allows users to box-model a volumetric mesh by modifying its surface through various operations. It achieves efficiency by maintaining parallel data structures and utilizing recent advancements in grid-based meshing.
COMPUTER GRAPHICS FORUM
(2023)
Article
Chemistry, Analytical
Arslan Siddique, Francesco Banterle, Massimiliano Corsini, Paolo Cignoni, Daniel Sommerville, Chris Joffe
Summary: MoReLab is a user-assisted 3D reconstruction tool designed to address the limitations of existing Structure from Motion (SfM) software packages in accurately estimating 3D models from low-quality videos. By allowing users to manually add features and correspondences on multiple video frames and providing primitive shape tools, MoReLab achieves superior results in modeling industrial equipment in challenging conditions.
Article
Environmental Sciences
Kai L. Kopecky, Gaia Pavoni, Erica Nocerino, Andrew J. Brooks, Massimiliano Corsini, Fabio Menna, Jordan P. Gallagher, Alessandro Capra, Cristina Castagnetti, Paolo Rossi, Armin Gruen, Fabian Neyer, Alessandro Muntoni, Federico Ponchio, Paolo Cignoni, Matthias Troyer, Sally J. Holbrook, Russell J. Schmitt
Summary: Detecting the impacts of disturbances on organisms and community composition has traditionally been limited by the spatial extent and resolution of the data collection. However, advancements in underwater photogrammetry and AI-assisted image segmentation provide solutions to this tradeoff. This study demonstrates the use of these technologies to quantify the impact of coral bleaching on a tropical reef at both a meaningful spatial scale and high resolution.
Article
Computer Science, Information Systems
Francesco Banterle, Alessandro Artusi, Alejandro Moreo, Fabio Carrara, Paolo Cignoni
Summary: Efficiency and efficacy are desirable properties for evaluation metrics in SDR and HDR imaging, but it is challenging to satisfy both simultaneously. Existing metrics like HDR-VDP 2.2 accurately mimic the HVS but are computationally expensive, while cheaper alternatives fail to capture crucial aspects of the HVS. In this work, we propose NoR-VDPNet++, a deep learning architecture that converts full-reference metrics to no-reference metrics, reducing computation burden and successfully applied in different scenarios.
