Yuan Liang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Yuan Liang has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Da Wan
School of Architecture, Tianjin Chengjian University, Tianjin 300074, China
1 shared publication - Haining Zhou
Faculty of Environmental Engineering, The University of Kitakyushu, Fukuoka 808-0135, Japan
1 shared publication - Tyson Keen Phillips
Piaggio Fast Forward Co., Ltd., Boston, MA 02129, USA
1 shared publication - Weijiu Cui
Qingdao University of Technology
1 shared publication - Weijun Gao
Faculty of Environmental Engineering, The University of Kitakyushu, Kitakyushu, Japan
1 shared publication - Xinyu Shi
SMART, Qingdao University of Technology, Qingdao 266033, China
1 shared publication
Latest Publications
- Open Access
A Novel Path Generation Approach for Robotic Spatial Printing of Branching Geometry
Although robotic spatial printing (RSP) has demonstrated a new way of fabricating building components with a good stiffness-to-weight ratio, the complexity of the applied geometries is still limited. Among them are branching geometries, which refer to the bio-inspired branching structures (BIBSs) in the building industry. This paper presents a cutting-edge approach to tackle this bottleneck problem, in which we propose an automated printing path generation (APPG) approach for the RSP of branching geometries, including an original hierarchical framework of printing node permutations and a linear workflow that incorporates five core algorithms: the heat method, graph generation, graph traversal, curve adjustment, and lattice generation. Through the execution of this workflow, a lattice structure and its corresponding printing path can be generated. This work is validated by the simulation of three prototypes: two-branch geometry, multi-branch geometry, and multi-level-branch geometry. Printing expenses are compared with each of the related algorithms to validate the efficiency of this proposed approach. Along with the appropriate APPG solutions, an analytical tool for topological type is also presented in this paper.
Open AccessA Novel Path Generation Approach for Robotic Spatial Printing of Branching Geometry
Although robotic spatial printing (RSP) has demonstrated a new way of fabricating building components with a good stiffness-to-weight ratio, the complexity of the applied geometries is still limited. Among them are branching geometries, which refer to the bio-inspired branching structures (BIBSs) in the building industry. This paper presents a cutting-edge approach to tackle this bottleneck problem, in which we propose an automated printing path generation (APPG) approach for the RSP of branching geometries, including an original hierarchical framework of printing node permutations and a linear workflow that incorporates five core algorithms: the heat method, graph generation, graph traversal, curve adjustment, and lattice generation. Through the execution of this workflow, a lattice structure and its corresponding printing path can be generated. This work is validated by the simulation of three prototypes: two-branch geometry, multi-branch geometry, and multi-level-branch geometry. Printing expenses are compared with each of the related algorithms to validate the efficiency of this proposed approach. Along with the appropriate APPG solutions, an analytical tool for topological type is also presented in this paper.