3 citations · 8 across the 11 of their papers we have counts for
11 papers
Implicit Neural Field-Based Process Planning for Multi-Axis Manufacturing: Direct Control over Collision Avoidance and Toolpath Geometry
Neelotpal Dutta, Tianyu Zhang, Tao Liu +2
Existing curved-layer-based process planning methods for multi-axis manufacturing address collisions only indirectly and generate toolpaths in a post-processing step, leaving toolp…
Can any model be fabricated? Inverse operation based planning for hybrid additive-subtractive manufacturing
Yongxue Chen, Tao Liu, Yuming Huang +5
This paper presents a method for computing interleaved additive and subtractive manufacturing operations to fabricate models of arbitrary shapes. We solve the manufacturing plannin…
Neural Co-Optimization of Structural Topology, Manufacturable Layers, and Path Orientations for Fiber-Reinforced Composites
Tao Liu, Tianyu Zhang, Yongxue Chen +4
We propose a neural network-based computational framework for the simultaneous optimization of structural topology, curved layers, and path orientations to achieve strong anisotrop…
Toolpath Generation for High Density Spatial Fiber Printing Guided by Principal Stresses
Tianyu Zhang, Tao Liu, Neelotpal Dutta +5
While multi-axis 3D printing can align continuous fibers along principal stresses in continuous fiber-reinforced thermoplastic (CFRTP) composites to enhance mechanical strength, ex…
Co-Optimization of Tool Orientations, Kinematic Redundancy, and Waypoint Timing for Robot-Assisted Manufacturing
Yongxue Chen, Tianyu Zhang, Yuming Huang +2
In this paper, we present a concurrent and scalable trajectory optimization method to improve the quality of robot-assisted manufacturing. Our method simultaneously optimizes tool…
Learning Based Toolpath Planner on Diverse Graphs for 3D Printing
Yuming Huang, Yuhu Guo, Renbo Su +9
This paper presents a learning based planner for computing optimized 3D printing toolpaths on prescribed graphs, the challenges of which include the varying graph structures on dif…
Neural Slicer for Multi-Axis 3D Printing
Tao Liu, Tianyu Zhang, Yongxue Chen +2
We introduce a novel neural network-based computational pipeline as a representation-agnostic slicer for multi-axis 3D printing. This advanced slicer can work on models with divers…
Exceptional Mechanical Performance by Spatial Printing with Continuous Fiber: Curved Slicing, Toolpath Generation and Physical Verification
Guoxin Fang, Tianyu Zhang, Yuming Huang +3
This work explores a spatial printing method to fabricate continuous fiber-reinforced thermoplastic composites (CFRTPCs), which can achieve exceptional mechanical performance. For…
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…
Support Generation for Robot-Assisted 3D Printing with Curved Layers
Tianyu Zhang, Yuming Huang, Piotr Kukulski +3
Robot-assisted 3D printing has drawn a lot of attention by its capability to fabricate curved layers that are optimized according to different objectives. However, the support gene…
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…