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Han Ding

Researcher at Huazhong University of Science and Technology

Publications -  310
Citations -  5644

Han Ding is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Machining & Computer science. The author has an hindex of 28, co-authored 265 publications receiving 3300 citations. Previous affiliations of Han Ding include Wuhan University of Technology & Xi'an Jiaotong University.

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Journal ArticleDOI

Tool wear characteristics in machining of nickel-based superalloys

TL;DR: In this article, the authors focused on the tool wear characteristics in the machining of nickel-based superalloys, and the state of the art in the fields of failure mechanism, monitoring and prediction, and control of tool wear are reviewed.
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Robotic grinding of complex components: A step towards efficient and intelligent machining – challenges, solutions, and applications

TL;DR: A systematic, critical, and comprehensively review of all aspects of robotic grinding of complex components, especially focusing on three research objectives, which focus primarily on the high-precision online measurement, grinding allowance control, constant contact force control, and surface integrity from robotic grinding.
Proceedings ArticleDOI

FEMO: A Platform for Free-weight Exercise Monitoring with RFIDs

TL;DR: The preliminary result from 15 volunteers demonstrates that FEMO can be applied to a variety of free-weight activities and users, and provide valuable feedbacks for activity alignment.
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Data driven discovery of cyber physical systems.

TL;DR: A general framework for automating mechanistic modeling of hybrid dynamical systems from observed data with low computational complexity and noise resilience is proposed.
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CBID: A Customer Behavior Identification System Using Passive Tags

TL;DR: The design and implementation of an on-site Customer Behavior Identification system based on passive RFID tags, named CBID, which can detect and track tag movements and further infer corresponding customer behaviors is presented.