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Dive into the research topics where Xiaobing Feng is active.

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Featured researches published by Xiaobing Feng.


Measurement Science and Technology | 2017

Development of CO2 snow cleaning for in situ cleaning of µCMM stylus tips

Xiaobing Feng; Peter Kinnell; Simon Lawes

Contamination adhered to the surface of a µCMM stylus tip compromises the measurement accuracy of the µCMM system, potentially causing dimensional errors that are over ten times larger than the uncertainty of a modern µCMM. In prior work by the authors, the use of a high pressure CO2 gas stream was demonstrated to achieve significant cleaning rate for a range of contaminant without damage to the stylus tip surface. This paper explores the practical challenges of achieving effective stylus tip cleaning in situ on µCMM systems. Two types of snow cleaning approaches were evaluated for their coverage of cleaning, thermal impact and gas flow forces. This work then presents a novel multi-nozzle prototype system using pulsed snow streams to achieve cleaning coverage over the entire stylus tip, and balances forces from the snow streams reducing drag force imparted by the gas stream to levels comparable to the probing force of µCMMs, as well as allowing automated cleaning procedure integrated into a µCMM system.


Proceedings of the 4M/ICOMM2015 Conference | 2015

Evaluation of the Capabilities and Damage Risk of Cleaning Methods for Micro-CMM Stylus Tips

Xiaobing Feng; Simon Lawes; Peter Kinnell

The dimensional accuracy of a micro-CMM is significantly affected by contamination adhered to the stylus tip during use. Contaminant particles can cause dimensional errors that are orders of magnitude greater than those reported in the literature. To reduce such errors, this study evaluates the suitability of three cleaning methods (brushing, laser cleaning and snow cleaning) for removing surface contamination on a micro-CMM stylus tip. The cleaning capability of each method is experimentally investigated. Due to the fragile nature of the styli, possible damage (mechanical and thermal) to the tip is assessed. Overall, snow cleaning was found to possess higher cleaning capability and lower risk of damage than the other two methods.


Measurement Science and Technology | 2018

Noise evaluation of a point autofocus surface topography measuring instrument

Giacomo Maculotti; Xiaobing Feng; Maurizio Galetto; Richard K. Leach


Archive | 2015

The development of a snow cleaning system for micro-CMM stylus tips

Xiaobing Feng; Simon Lawes; Peter Kinnell


Precision Engineering-journal of The International Societies for Precision Engineering and Nanotechnology | 2018

A self-calibration rotational stitching method for precision measurement of revolving surfaces

Mingyu Liu; Chi Fai Cheung; Xiaobing Feng; C.J. Wang; Richard K. Leach


Optics Express | 2018

Fast and cost-effective in-process defect inspection for printed electronics based on coherent optical processing

Xiaobing Feng; Rong Su; Tuomas Happonen; Jian Liu; Richard K. Leach


Cirp Annals-manufacturing Technology | 2018

Hierarchical-information-based characterization of multiscale structured surfaces

Chi Fai Cheung; Mingyu Liu; Richard K. Leach; Xiaobing Feng; Chenyang Zhao


Archive | 2017

Optical difference engine for defect inspection in highly-parallel manufacturing processes

Xiaobing Feng; Rong Su; Mingyu Liu; Richard K. Leach


Measurement Science and Technology | 2017

A microscopy approach for in situ inspection of micro-coordinate measurement machine styli for contamination

Xiaobing Feng; Jonathan Pascal; Simon Lawes


16th International Conference on Metrology and Properties of Engineering Surfaces (Met&Props 2017) | 2017

Measurement noise of a point autofocus surface topography instrument

Xiaobing Feng; Danilo Quagliotti; Giacomo Maculotti; Wahyudin P. Syam; Guido Tosello; Hans Nørgaard Hansen; Maurizio Galetto; Richard K. Leach

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Simon Lawes

University of Nottingham

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Mingyu Liu

Hong Kong Polytechnic University

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Rong Su

University of Nottingham

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Chi Fai Cheung

Hong Kong Polytechnic University

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C.J. Wang

Hong Kong Polytechnic University

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Chenyang Zhao

Hong Kong Polytechnic University

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Jian Liu

Harbin Institute of Technology

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