9 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…
Correspondence-Free, Function-Based Sim-to-Real Learning for Deformable Surface Control
Yingjun Tian, Guoxin Fang, Renbo Su +6
This paper presents a correspondence-free, function-based sim-to-real learning method for controlling deformable freeform surfaces. Unlike traditional sim-to-real transfer methods…
Curve-based slicer for multi-axis DLP 3D printing
Chengkai Dai, Tao Liu, Dezhao Guo +4
This paper introduces a novel curve-based slicing method for generating planar layers with dynamically varying orientations in digital light processing (DLP) 3D printing. Our appro…
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…
Motion-Driven Neural Optimizer for Prophylactic Braces Made by Distributed Microstructures
Xingjian Han, Yu Jiang, Weiming Wang +9
Joint injuries, and their long-term consequences, present a substantial global health burden. Wearable prophylactic braces are an attractive potential solution to reduce the incide…