1 citations · 1 across the 6 of their papers we have counts for
6 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…
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…