X
Xiaoting Zhang
Researcher at Boston University
Publications - 35
Citations - 588
Xiaoting Zhang is an academic researcher from Boston University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 9, co-authored 19 publications receiving 458 citations. Previous affiliations of Xiaoting Zhang include Harbin Institute of Technology Shenzhen Graduate School & The Chinese University of Hong Kong.
Papers
More filters
Journal ArticleDOI
Self-supporting rhombic infill structures for additive manufacturing
TL;DR: A novel method for generating application-specific infill structures on rhombic cells so that the resultant structures can automatically satisfy manufacturing requirements on overhang-angle and wall-thickness and is demonstrated in the applications of improving mechanical stiffness and static stability.
Journal ArticleDOI
Perceptual models of preference in 3D printing direction
TL;DR: A perceptual model for determining 3D printing orientations is introduced as a combination of metrics including area of support, visual saliency, preferred viewpoint and smoothness preservation and a training-and-learning methodology is developed to obtain a closed-form solution.
Journal ArticleDOI
An Accurate and Robust Strip-Edge-Based Structured Light Means for Shiny Surface Micromeasurement in 3-D
TL;DR: A novel structured light approach for direct measurement of shiny target so as to skip the coating preprocedure is presented and an improved zero-crossing feature detector that has subpixel accuracy is proposed for strip-edge localization.
Proceedings ArticleDOI
Thermal-Comfort Design of Personalized Casts
Xiaoting Zhang,Guoxin Fang,Chengkai Dai,Jouke Verlinden,Jun Wu,Emily Whiting,Charlie C. L. Wang +6 more
TL;DR: This paper introduces a novel method for designing personalized orthopedic casts which are aware of thermal-comfort while satisfying mechanical requirements, and generates a solid model for a personalized cast maximizing both thermal comfort and mechanical stiffness.
Proceedings ArticleDOI
Data-driven bending elasticity design by shell thickness
TL;DR: A method to design the deformation behavior of 3D printed models by an interactive tool, where the variation of bending elasticity at different regions of a model is realized by a change in shell thickness.