Article
Computer Science, Software Engineering
Thomas Alderighi, Daniela Giorgi, Luigi Malomo, Paolo Cignoni, Monica Zoppe
Summary: This study introduces a complete workflow for producing soft models of complex proteins using molding technologies, incorporating both spatial and functional aspects of large molecules. These models can serve as teaching aids to illustrate biological functional behavior, such as assembly in quaternary structure and docking mechanisms, which are difficult to convey with traditional visualization methods.
COMPUTERS & GRAPHICS-UK
(2021)
Article
Pharmacology & Pharmacy
Javier Escuer, Andre Fensterseifer Schmidt, Estefania Pena, Miguel A. Martinez, Sean McGinty
Summary: The most common treatment for obstructive coronary artery disease is the implantation of a permanent drug-eluting stent, but it has drawbacks such as delayed healing and challenges in treating re-narrowing. Drug-coated balloons provide a potential solution. This paper presents a computational model that compares drug delivery from drug-coated balloons and drug-eluting stents, and suggests the potential of designing drug-coated balloons with similar safety and efficacy to commercial drug-eluting stents.
INTERNATIONAL JOURNAL OF PHARMACEUTICS
(2022)
Article
Multidisciplinary Sciences
Monika Colombo, Anna Corti, Scott Berceli, Francesco Migliavacca, Sean McGinty, Claudio Chiastra
Summary: This study investigated the drug transport and kinetics during drug-coated balloon deployment in a three-dimensional geometry. The results showed that balloon inflation time and vessel wall composition significantly affected drug concentrations, and that balloon coating retention could increase drug concentration in the vessel wall.
Article
Mechanics
Yifeng Dong, Xuefeng Yao, Xiaoyao Xu
Summary: By designing and optimizing the cross section shape of fabric rubber seal and determining the optimization constraints and objectives, the study successfully obtained the optimal shapes under different conditions, providing important guidance for the design and manufacture of fabric rubber seals.
COMPOSITE STRUCTURES
(2021)
Article
Computer Science, Software Engineering
Christian Hafner, Bernd Bickel
Summary: This work introduces a method for designing curved shapes using flat elastic rods, allowing designers to determine the feasibility of shapes through visual inspection and efficiently calculate the geometry of structural elements needed for realization. The tool provides feedback on design feasibility and offers an iterative optimization routine to improve manufacturability while minimizing modifications.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Polymer Science
Sebastian Stieger, Evan Mitsoulis, Matthias Walluch, Catharina Ebner, Roman Christopher Kerschbaumer, Matthias Haselmann, Mehdi Mostafaiyan, Markus Kaempfe, Ines Kuehnert, Sven Wiessner, Walter Friesenbichler
Summary: CFD simulation is a crucial tool for engineers to study design options efficiently, but its accuracy relies heavily on boundary conditions and rheological equations. In this study, the viscoelastic nature of unfilled NBR is analyzed using the K-BKZ model, demonstrating the importance of accurate viscoelastic modeling for rubber materials.
Article
Engineering, Mechanical
Yanhong Ma, Xiangxin Tang, Yongfeng Wang, Jie Hong
Summary: A strategy to analyze the response of nonlinear metal rubber (MR) isolator under random vibration is proposed in this paper. The stiffness and damping coefficient of MR isolator are designed to achieve efficient vibration isolation over a broad frequency range. The dynamic model of the isolator is established considering the nonlinear characteristics of MR, and the effects of parameters on transmissibility are analyzed. The response of a nonlinear MR isolator subjected to random vibration is investigated using the Harmonic Balance Method, and a design procedure is proposed to optimize the parameters for better vibration isolation efficiency.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Computer Science, Software Engineering
Yongqi Zhang, Haikun Huang, Erion Plaku, Lap-Fai Yu
Summary: The study proposes an automatic approach to jointly design workspaces and workplans by optimizing performance and workload factors, generating Pareto-optimal design solutions for different work scenarios. Evaluation experiments validate the efficacy of the approach in synthesizing effective workspaces and workplans.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Biochemical Research Methods
Bin Huang, Tingwen Fan, Kaiyue Wang, Haicang Zhang, Chungong Yu, Shuyu Nie, Yangshuo Qi, Wei-Mou Zheng, Jian Han, Zheng Fan, Shiwei Sun, Sheng Ye, Huaiyi Yang, Dongbo Bu
Summary: ProDESIGN-LE is an accurate and efficient approach to protein sequence design. It uses a transformer to learn the correlation between residue local environments and amino acid types, resulting in designed proteins that fit well with their local environments. Experimental results show that ProDESIGN-LE performs well in designing protein sequences with high solubility and structural similarity to the target structures.
Article
Engineering, Mechanical
Markus Varga, Marin Herr, Lukas Widder, Luiz Antonio de Campos, Joerg Mermagen
Summary: The article discusses the importance of rubber-ceramic hybrid materials in industrial applications and presents a method to design optimal ceramic-rubber hybrids for specific applications. Through experiments and numerical simulations, the impact of ceramic size and rubber thickness on impact resistance performance was determined.
Article
Geochemistry & Geophysics
R. F. Garcia, L. Martire, Y. Chaigneau, A. Cadu, D. Mimoun, M. Bassas Portus, A. Sournac, M. Sylvander, H. Pauchet, S. Benahmed, R. Martin
Summary: The study demonstrates the effectiveness of using infrasonic sensors and accelerometers mounted on a tethered helium balloon for controlled seismo-acoustic experiments. It validates ground to air coupling theory and numerical modelling tools, while also highlighting the impact of accelerometer location on records and identifying the optimal sensor placement at the bottom of the balloon envelope.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2021)
Article
Materials Science, Multidisciplinary
Karina C. Nunez Carrero, Luis E. Alonso Pastor, Marianella Hernandez Santana, Jose Maria Pastor
Summary: This study investigates the use of devulcanised tire residue as reinforcement in self-healing styrene-butadiene rubber compounds. The results demonstrate that reducing the network density enables the incorporation of more reinforcing filler, leading to improved tensile strength in the pristine state and mitigating negative effects on the healing process.
MATERIALS & DESIGN
(2022)
Article
Robotics
Hang Zhou, Shunlu Zhang, Junxiong Zhang, Chunlong Zhang, Song Wang, Yihao Zhai, Wei Li
Summary: This study presents the design of a rubber cutting robot for natural rubber plantations, demonstrating the potential of applying industrial robotics to latex harvesting. The system's performance was evaluated in the field, verifying the adaptability of the upgraded trajectory and the accuracy of the start point positioning algorithm. Future work will focus on enhancing system stiffness and robustness to further improve operational efficiency.
JOURNAL OF FIELD ROBOTICS
(2022)
Article
Computer Science, Software Engineering
Ran Zhang, Thomas Auzinger, Bernd Bickel
Summary: This article introduces a method for designing planar multistable compliant structures by optimizing the topology and geometric parameters of the mechanism to physically reproduce multistable behavior. The results demonstrate the effectiveness of this method in obtaining functional multistable mechanisms that can be fabricated using 3D printing.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Construction & Building Technology
Min-Chih Liao, Tsun-Jen Lo
Summary: The study found that adding rubber can improve the toughness of penetration-grade asphalt, but can reduce the toughness of polymer-modified bitumen. At high temperatures, the addition of rubber can improve the resistance to permanent deformation of asphalt binders.
JOURNAL OF MATERIALS IN CIVIL ENGINEERING
(2021)
Article
Computer Science, Software Engineering
Ran Zhang, Thomas Auzinger, Bernd Bickel
Summary: This article introduces a method for designing planar multistable compliant structures by optimizing the topology and geometric parameters of the mechanism to physically reproduce multistable behavior. The results demonstrate the effectiveness of this method in obtaining functional multistable mechanisms that can be fabricated using 3D printing.
ACM TRANSACTIONS ON GRAPHICS
(2021)
Article
Computer Science, Software Engineering
Jonas Zehnder, Stelian Coros, Bernhard Thomaszewski
Summary: This paper presents a sparse Gauss-Newton solver for accelerated sensitivity analysis in a wide range of equilibrium-constrained optimization problems. By transforming the dense Gauss-Newton Hessian into an equivalent sparse matrix, the solver improves the efficiency of matrix assembly and factorization, leading to significantly reduced computation times.
ACM TRANSACTIONS ON GRAPHICS
(2022)
Article
Robotics
Guirec Maloisel, Espen Knoop, Bernhard Thomaszewski, Moritz Bacher, Stelian Coros
Summary: The singularity-aware design optimization method for mechanical linkages introduced in the study actively detects singular configurations utilizing an adversarial sampling strategy. This enables bijective mappings between input and output trajectories in both forward and inverse kinematics, ensuring robust control of the system. The approach is demonstrated on simulation examples and validated on physical prototypes.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Article
Computer Science, Software Engineering
Zhenyuan Liu, Jingyu Hu, Hao Xu, Peng Song, Ran Zhang, Bernd Bickel, Chi-Wing Fu
Summary: The study addressed the limitation of existing methods in quantifying the rigidity of assemblies with mechanical joints and developed a new measure, worst-case rigidity. It also presented methods to optimize the geometry and topology of assemblies to enhance their rigidity.
COMPUTER GRAPHICS FORUM
(2022)
Article
Computer Science, Software Engineering
V. Vechev, J. Zarate, B. Thomaszewski, O. Hilliges
Summary: This paper proposes an optimization-driven approach for automated design of reinforcement patterns for kinesthetic garments. By casting the design task as an on-body topology optimization problem, the method allows designers to explore a continuous range of designs. Experimental results demonstrate significant performance improvements and manufactured designs were rated higher in resistance compared to baselines in a user study.
COMPUTER GRAPHICS FORUM
(2022)
Article
Computer Science, Software Engineering
Gene Ting-Chun Kao, Antonino Iannuzzo, Bernhard Thomaszewski, Stelian Coros, Tom Van Mele, Philippe Block
Summary: This paper introduces a coupled rigid-block analysis method for modeling complex discrete-element assemblies. The method combines equilibrium and kinematics, and resolves the issue of stability description using a penalty formulation. Additionally, a stability-aware design process is proposed to guide users in designing structurally-sound assemblies.
COMPUTER-AIDED DESIGN
(2022)
Article
Robotics
Yue Li, Juan Montes, Bernhard Thomaszewski, Stelian Coros
Summary: This paper introduces a new type of programmable digital weaving material that mimics the yarn structure of traditional fabrics with sliding connections, allowing relative motion between crossing strands and enabling a wide range of programmable nonlinear and anisotropic material behaviors.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Computer Science, Software Engineering
Michal Piovarci, Michael Foshey, Jie Xu, Timmothy Erps, Vahid Babaei, Piotr Didyk, Szymon Rusinkiewicz, Wojciech Matusik, Bernd Bickel
Summary: Research shows that using reinforcement learning to learn closed-loop control policies can improve the efficiency of additive manufacturing. Through simulation and practice, it has been found that learning the behavioral patterns of deposition that correspond to real-world experiences can be achieved through approximate numerical simulation. The control policies obtained using reinforcement learning outperform baseline controllers and have minimal differences with real-world situations.
ACM TRANSACTIONS ON GRAPHICS
(2022)
Article
Computer Science, Software Engineering
Simon Duenser, Bernhard Thomaszewski, Roi Poranne, Stelian Coros
Summary: Many flexible structures have a small number of compliant modes, but predicting these modes is challenging. To address this, we propose Nonlinear Compliant Modes, an extension of linear eigenmodes for large-deformation analysis. Our method correctly predicts nonlinear effects that linear eigenanalysis fails to capture.
ACM TRANSACTIONS ON GRAPHICS
(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)
Article
Computer Science, Software Engineering
Liu Zhenyuan, Michal Piovarci, Christian Hafner, Raphael Charrondiere, Bernd Bickel
Summary: Embroidery is a traditional method for creating logos and images on textiles, which can now be done with automated machines. The threads used in embroidery have a high degree of anisotropy, which artists leverage to enhance color images with textures and illusions of motion. Designing colorful embroidery patterns with prescribed directionality is a challenging task, but in this work, we propose an interactive algorithm that generates machine-fabricable embroidery patterns with user-specified directionality fields. We showcase our approach by fabricating several embroidery paths.
COMPUTER GRAPHICS FORUM
(2023)
Article
Computer Science, Software Engineering
Michal Piovarci, Alexandre Chapiro, Bernd Bickel
Summary: This study provides a systematic overview of tattooing as a computational fabrication technique. Researchers built an automated tattooing rig and created a model predicting tattoo appearance using silicone sheets mimicking realistic skin tones. This technology enables various applications including tattoo previewing, color retargeting, ink optimization, and color-accurate prosthetics.
ACM TRANSACTIONS ON GRAPHICS
(2023)
Article
Computer Science, Software Engineering
Marco Freire, Manas Bhargava, Camille Schreck, Pierre-Alexandre Hugron, Bernd Bickel, Sylvain Lefebvre
Summary: We propose a computational design approach for covering a surface with individually addressable RGB LEDs, effectively forming a low-resolution surface screen. Our approach utilizes flat PCB panels that are bent along the surface of a 3D printed core, allowing for low-cost and scalable designs with several hundred LEDs. We optimize the PCB geometry for folding and jointly optimize the LED packing, circuit, and routing to meet strict manufacturing requirements.
ACM TRANSACTIONS ON GRAPHICS
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Yue Li, Marc Habermann, Bernhard Thomaszewski, Stelian Coros, Thabo Beeler, Christian Theobalt
Summary: A new person-specific, learning-based method has been proposed that introduces physics supervision into weakly supervised deep monocular human performance capture for the first time, improving cloth deformations and reducing cloth-body intersections, leading to a significant improvement over current state-of-the-art methods.
2021 INTERNATIONAL CONFERENCE ON 3D VISION (3DV 2021)
(2021)
Article
Computer Science, Software Engineering
Tobias Rittig, Denis Sumin, Vahid Babaei, Piotr Didyk, Alexey Voloboy, Alexander Wilkie, Bernd Bickel, Karol Myszkowski, Tim Weyrich, Jaroslav Krivanek
Summary: With the rise of full-color 3D printers, the need for color-accurate 3D-print preparation has increased, but traditional printing materials' translucency poses a challenge in maintaining color texture details. Our data-driven approach significantly speeds up the optimization process, achieving results similar in quality to Monte Carlo rendering but in a fraction of the time.
COMPUTER GRAPHICS FORUM
(2021)
