9 citations · 23 across the 14 of their papers we have counts for
15 papers
Vector Field Based Volume Peeling for Multi-Axis Machining
Neelotpal Dutta, Tianyu Zhang, Guoxin Fang +2
This paper presents an easy-to-control volume peeling method for multi-axis machining based on the computation taken on vector fields. The current scalar field based methods are no…
Field-Based Toolpath Generation for 3D Printing Continuous Fibre Reinforced Thermoplastic Composites
Xiangjia Chen, Guoxin Fang, Wei-Hsin Liao +1
We present a field-based method of toolpath generation for 3D printing continuous fibre reinforced thermoplastic composites. Our method employs the strong anisotropic material prop…
Singularity-aware motion planning for multi-axis additive manufacturing
Tianyu Zhang, Xiangjia Chen, Guoxin Fang +2
Multi-axis additive manufacturing enables high flexibility of material deposition along dynamically varied directions. The Cartesian motion platforms of these machines include thre…
Memory-Efficient Modeling and Slicing of Large-Scale Adaptive Lattice Structures
Shengjun Liu, Tao Liu, Qiang Zou +3
Lattice structures have been widely used in various applications of additive manufacturing due to its superior physical properties. If modeled by triangular meshes, a lattice struc…
Sensing and Reconstruction of 3D Deformation on Pneumatic Soft Robots
Rob B. N. Scharff, Guoxin Fang, Yingjun Tian +3
Real-time proprioception is a challenging problem for soft robots, which have almost infinite degrees-of-freedom in body deformation. When multiple actuators are used, it becomes m…
Length-optimal tool path planning for freeform surfaces with preferred feed directions
Qiang Zou, Charlie C. L. Wang, Hsi-Yung Feng
This paper presents a new method to generate tool paths for machining freeform surfaces represented either as parametric surfaces or as triangular meshes. This method allows for th…
A framework for adaptive width control of dense contour-parallel toolpaths in fused deposition modeling
Tim Kuipers, Eugeni L. Doubrovski, Jun Wu +1
3D printing techniques such as Fused Deposition Modeling (FDM) have enabled the fabrication of complex geometry quickly and cheaply. High stiffness parts are produced by filling th…
Fast Generation of High Fidelity RGB-D Images by Deep-Learning with Adaptive Convolution
Chuhua Xian, Dongjiu Zhang, Chengkai Dai +1
Using the raw data from consumer-level RGB-D cameras as input, we propose a deep-learning based approach to efficiently generate RGB-D images with completed information in high res…
CrossFill: Foam Structures with Graded Density for Continuous Material Extrusion
Tim Kuipers, Jun Wu, Charlie C. L. Wang
The fabrication flexibility of 3D printing has sparked a lot of interest in designing structures with spatially graded material properties. In this paper, we propose a new type of…
General Support-Effective Decomposition for Multi-Directional 3D Printing
Chenming Wu, Chengkai Dai, Guoxin Fang +2
We present a method for fabricating general models with multi-directional 3D printing systems by printing different model regions along with different directions. The core of our m…
Motion Imitation Based on Sparsely Sampled Correspondence
Shuo Jin, Chengkai Dai, Yang Liu +1
Existing techniques for motion imitation often suffer a certain level of latency due to their computational overhead or a large set of correspondence samples to search. To achieve…
Isogeometric computation reuse method for complex objects with topology-consistent volumetric parameterization
Gang Xu, Tsz-Ho Kwok, Charlie C. L. Wang
Volumetric spline parameterization and computational efficiency are two main challenges in isogeometric analysis (IGA). To tackle this problem, we propose a framework of computatio…
A Closed-Form Formulation of HRBF-Based Surface Reconstruction
Shengjun Liu, Charlie C. L. Wang, Guido Brunnett +1
The Hermite radial basis functions (HRBFs) implicits have been used to reconstruct surfaces from scattered Hermite data points. In this work, we propose a closed-form formulation t…
Meshfree C^2-Weighting for Shape Deformation
Chuhua Xian, Shuo Jin, Charlie C. L. Wang
Handle-driven deformation based on linear blending is widely used in many applications because of its merits in intuitiveness, efficiency and easiness of implementation. We provide…
Layered Depth-Normal Images: a Sparse Implicit Representation of Solid Models
Charlie C. L. Wang, Yong Chen
This paper presents a novel implicit representation of solid models. With this representation, every solid model can be effectively presented by three layered depth-normal images (…