Jiwang Yan

ORCID: 0000-0002-5155-3604
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About
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Research Areas
  • Advanced Surface Polishing Techniques
  • Advanced machining processes and optimization
  • Diamond and Carbon-based Materials Research
  • Laser Material Processing Techniques
  • Advanced Machining and Optimization Techniques
  • Metal and Thin Film Mechanics
  • Metallic Glasses and Amorphous Alloys
  • Nanofabrication and Lithography Techniques
  • Advanced optical system design
  • Advanced Measurement and Metrology Techniques
  • Adhesion, Friction, and Surface Interactions
  • Surface Roughness and Optical Measurements
  • Advanced materials and composites
  • Tunneling and Rock Mechanics
  • Laser-Plasma Interactions and Diagnostics
  • Laser-induced spectroscopy and plasma
  • High Entropy Alloys Studies
  • High-Temperature Coating Behaviors
  • Surface Modification and Superhydrophobicity
  • Advanced ceramic materials synthesis
  • Integrated Circuits and Semiconductor Failure Analysis
  • Additive Manufacturing and 3D Printing Technologies
  • Optical Coatings and Gratings
  • Additive Manufacturing Materials and Processes
  • Silicon Nanostructures and Photoluminescence

Keio University
2016-2025

China Academy of Engineering Physics
2011-2025

Miyoshi Kasei (Japan)
2024

Hunan University
2024

Laser Research Institute
2022

Laser Fusion Research Center
2022

Chinese Academy of Engineering
2014-2020

Iran University of Science and Technology
2017

Ferdowsi University of Mashhad
2017

Mitsubishi Heavy Industries (Japan)
2013

10.1016/j.ijmachtools.2022.103905 article EN International Journal of Machine Tools and Manufacture 2022-05-27

10.1016/j.ijmachtools.2008.12.007 article EN International Journal of Machine Tools and Manufacture 2009-01-03

10.1016/j.ijmachtools.2013.09.010 article EN International Journal of Machine Tools and Manufacture 2013-09-30

Abstract Precision is one of the most important aspects manufacturing. High precision creates high quality, performance, exchangeability, reliability, and added value for industrial products. Over past decades, remarkable advances have been achieved in area high-precision manufacturing technologies, where form accuracy approaches nanometer level surface roughness atomic level. These extremely technologies enable development high-performance optical elements, semiconductor substrates,...

10.1088/2631-7990/ab1ff1 article EN cc-by International Journal of Extreme Manufacturing 2019-05-08

This paper presents novel advances in the deformation behaviour of polycrystalline and single crystal silicon using molecular dynamics (MD) simulation validation same via nanoindentation experiments. In order to unravel mechanism deformation, four simulations were performed: indentation a substrate with (i) Berkovich pyramidal (ii) spherical (arc) indenter, (iii iv) these two indenters. The results reveal that high pressure phase transformation (HPPT) (Si-I Si-II transformation) occurred all...

10.1088/0022-3727/47/27/275304 article EN cc-by Journal of Physics D Applied Physics 2014-06-13

For many years, the machining community has dedicated significant efforts to investigate microscopic scale level phenomena during material removal process. On one hand much research been carried out in relation workpiece surface integrity after and methods for its study. other hand, studies have replicate conditions at scales using high resolution setups. Although these two topics seem be little related, there is an opportunity of take advantage advanced testing/investigation setups that...

10.1016/j.ijmachtools.2022.103964 article EN cc-by International Journal of Machine Tools and Manufacture 2022-10-22

Abstract Polycrystalline materials are extensively employed in industry. Its surface roughness significantly affects the working performance. Material defects, particularly grain boundaries, have a great impact on achieved of polycrystalline materials. However, it is difficult to establish purely theoretical model for with consideration boundary effect using conventional analytical methods. In this work, and deep learning hybrid predicting diamond-turned proposed. The kinematic–dynamic...

10.1088/2631-7990/acdb0a article EN cc-by International Journal of Extreme Manufacturing 2023-06-02

10.1016/s0924-0136(01)01218-3 article EN Journal of Materials Processing Technology 2002-02-01

10.1007/s00170-010-2695-2 article EN The International Journal of Advanced Manufacturing Technology 2010-05-04

10.1016/j.ijmachtools.2012.10.007 article EN International Journal of Machine Tools and Manufacture 2012-11-07
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