Chao Xian

ORCID: 0000-0003-0243-9212
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About
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Research Areas
  • Advanced machining processes and optimization
  • Advanced Surface Polishing Techniques
  • Advanced Machining and Optimization Techniques
  • Advanced Measurement and Metrology Techniques
  • Surface Treatment and Residual Stress
  • Metal Alloys Wear and Properties
  • Tribology and Lubrication Engineering
  • Surface Roughness and Optical Measurements
  • Additive Manufacturing Materials and Processes
  • Numerical methods in engineering
  • Geomechanics and Mining Engineering
  • Electrowetting and Microfluidic Technologies
  • Manufacturing Process and Optimization
  • Geotechnical Engineering and Underground Structures
  • Rock Mechanics and Modeling
  • Simulation and Modeling Applications
  • Engineering Technology and Methodologies

Hubei University of Arts and Science
2023-2024

Northwestern Polytechnical University
2018-2022

Ministry of Industry and Information Technology
2021

Chongqing University
2018

10.1007/s00170-023-12323-y article EN The International Journal of Advanced Manufacturing Technology 2023-10-09

As a critical component of aero-engines, the processing quality blade has significant impact on engine's overall performance and service life. First, from perspective double abrasive grains, two finite element models—simultaneous sequential scratches—are established. The interaction between grains affects not only polishing force chip formation but also surface morphology processed workpiece. Second, effects grain rake angle, spacing, ultrasonic amplitude force, formation, are analyzed using...

10.1038/s41598-024-82461-0 article EN cc-by-nc-nd Scientific Reports 2024-12-28

10.1007/s00170-019-04690-2 article EN The International Journal of Advanced Manufacturing Technology 2019-12-12

10.1007/s00170-020-05016-3 article EN The International Journal of Advanced Manufacturing Technology 2020-02-01

10.1007/s12206-020-0114-7 article EN Journal of Mechanical Science and Technology 2020-02-01

10.1007/s00170-019-04398-3 article EN The International Journal of Advanced Manufacturing Technology 2019-11-08

The vibration of grinding tools is very essential to the performance parts and safety machine tools. However, vibrationis rarely studied in process polishing aeroengine blade with abrasive cloth wheel. Polishing force measured by dynamometer wheel, time-domain expressions are obtained. Time-domain frequency-domain solutions position at which wheel installed under coupling axial normal obtained simulation method. results show that total displacement approximately equal direction....

10.1155/2020/5472502 article EN Mathematical Problems in Engineering 2020-05-30

10.1007/s00170-021-07133-z article EN The International Journal of Advanced Manufacturing Technology 2021-05-21

The vibration of machine tool spindle is very important for machining. Firstly, in order to explore the relationship between and process parameters, acceleration when polishing aero-engine blade was measured, quadratic polynomial models X, Y Z direction parameters were established. Secondly, a model influence on polished surface roughness also determined. Thirdly, through Analysis Variance (ANOVA) main effect analysis, it can be seen that speed has greatest impact vibration. Finally,...

10.1038/s41598-024-78850-0 article EN cc-by-nc-nd Scientific Reports 2024-11-09

<title>Abstract</title> As a critical component of aero-engines, the processing quality blade has significant impact on engine's overall performance and service life. First, from perspective double abrasive grains, two finite element models—simultaneous sequential scratches—are established. The interaction between grains affects not only polishing force chip formation but also surface morphology processed workpiece. Second, effects grain rake angle, spacing, ultrasonic amplitude force,...

10.21203/rs.3.rs-5181282/v1 preprint EN cc-by Research Square (Research Square) 2024-12-04

Abstract This study proposed a new method for predicting tool wear curve over machining time through abscissa stretching or compressing based on influence factor. In this method, firstly, the relationship model between rate and cutting parameters needs to be built, factor can derived from model. Then, it record of value under certain experiments. is called benchmark curve, When change, only required solve ratio current factor, then use stretch compress in direction abscissa, that prediction...

10.21203/rs.3.rs-2612705/v1 preprint EN cc-by Research Square (Research Square) 2023-02-27

The study and control for chip have a significant impact on machining quality productivity. In this paper, GH4169 was cut with an indexable disc milling cutter. chips corresponding to each group of cutting parameters were collected, the (chip curl radius, thickness deformation coefficient, width coefficient) measured. qualitative relationship between studied. quadratic polynomial models established verified. results showed that coefficient negatively correlated spindle speed; positively feed...

10.3390/ma14113135 article EN Materials 2021-06-07

Tool eccentricity has a significant impact on machining quality, accuracy, and operation status of machine tool. It is difficult to accurately identify tool eccentricity. In this paper, the mathematical models instantaneous undeformed cutting thickness force considering are determined by theoretical method. Based model, identification method for parameters proposed, disc milling cutter identified. According identified parameters, verified. The results show that most values measured forces...

10.1177/16878140211041493 article EN cc-by Advances in Mechanical Engineering 2021-08-01

Abstract The optimization of machining allowance has an important influence on the quality workpieces. This paper determined method for rough-finish milling based depth control affected layer. Firstly, coupling cutting layer is studied by experiment. Secondly, rule rough and finish experiment, prediction model established, as well surface roughness depth. Finally, effectiveness results was verified experiments. experimental show optimized parameters can increase efficiency 31.2%, 91 µm,...

10.21203/rs.3.rs-2400343/v1 preprint EN cc-by Research Square (Research Square) 2022-12-29
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