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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
64
Citations
15975
World Ranking
546
National Ranking
242

Research.com Recognitions

  • 2002 - Fellow of the American Society of Mechanical Engineers

Overview

Steven Y. Liang is affiliated with the Georgia Institute of Technology in the United States. Their research focuses primarily on engineering with a specialization in mechanical engineering and related subfields. The scientist has a significant publication record in areas such as advanced machining processes and optimization, additive manufacturing materials and processes, and welding techniques and residual stresses.

The main fields of study include:

  • Engineering

Subfields of study covered by their research are:

  • Mechanical Engineering
  • Biomedical Engineering
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Automotive Engineering

The principal topics of work include:

  • Advanced machining processes and optimization
  • Advanced Surface Polishing Techniques
  • Additive Manufacturing Materials and Processes
  • Advanced Machining and Optimization Techniques
  • Additive Manufacturing and 3D Printing Technologies
  • Welding Techniques and Residual Stresses
  • Manufacturing Process and Optimization

Recent research papers by Steven Y. Liang include:

  • Systematic review on tool breakage monitoring techniques in machining operations, 2022, International Journal of Machine Tools and Manufacture
  • Intelligent tool wear monitoring based on parallel residual and stacked bidirectional long short-term memory network, 2021, Journal of Manufacturing Systems
  • Analytical modeling of part porosity in metal additive manufacturing, 2020, International Journal of Mechanical Sciences
  • Prediction and control of residual stress-based distortions in the machining of aerospace parts: A review, 2022, Journal of Manufacturing Processes
  • Effect of phase transition on micro-grinding-induced residual stress, 2020, Journal of Materials Processing Technology

Steven Y. Liang frequently publishes with the following coauthors:

  • Caixu Yue
  • Xiaohong Lü
  • Xianli Liu
  • Lihui Wang
  • Hamid Garmestani

The most frequent publication venues for their work are:

  • The International Journal of Advanced Manufacturing Technology
  • Journal of Manufacturing Processes
  • Research Square (Research Square)
  • International Journal of Manufacturing Research
  • Nuclear Medicine and Biology

Regarding book publications, Steven Y. Liang is associated with multiple titles, primarily published by Trans Tech Publications Ltd. eBooks, including:

  • Engineering Chemistry Vol. 3 (2023)
  • Manufacturing Science and Technology (2022)
  • Engineering Materials (2022)
  • Silicon Carbide MOSFETs and Special Materials (2023)
  • Advanced Engineering Materials: Properties and Processing Technologies (2023)

Other book titles published under this affiliation include conference proceedings and specialized topics in materials and manufacturing from 2022 to 2024. Additionally, they have a publication with Advances in Science and Technology from 2024, related to a conference on nanomaterials and biomaterials along with material and manufacturing technology.

Steven Y. Liang received the award of Fellow of the American Society of Mechanical Engineers in 2002.

Best Publications

  • Machining Process Monitoring and Control: The State-of-the-Art

    Steven Y. Liang;Rogelio L. Hecker;Robert G. Landers

  • BEARING CONDITION DIAGNOSTICS VIA VIBRATION AND ACOUSTIC EMISSION MEASUREMENTS

    J. Shiroishi;Y. Li;S. Liang;T. Kurfess

  • Adaptive Prognostics for Rolling Element Bearing Condition

    Y. Li;S. Billington;C. Zhang;T. Kurfess

  • A review of chatter vibration research in milling

    Caixu Yue;Haining Gao;Xianli Liu;Steven Y. Liang

  • Predictive modeling of surface roughness in grinding

    Rogelio L. Hecker;Steven Y. Liang

  • STOCHASTIC PROGNOSTICS FOR ROLLING ELEMENT BEARINGS

    Y. Li;T.R. Kurfess;S.Y. Liang

  • CBN tool wear in hard turning: a survey on research progresses

    Yong Huang;Y. Kevin Chou;Steven Y. Liang

  • Grinding force and power modeling based on chip thickness analysis

    Rogelio L. Hecker;Steven Y. Liang;Xiao Jian Wu;Pin Xia

  • An integrated approach to bearing fault diagnostics and prognostics

    Xiaodong Zhang;R. Xu;Chiman Kwan;S.Y. Liang

  • Chatter stability of a slender cutting tool in turning with tool wear effect

    Richard Y. Chiou;Steven Y. Liang

  • Cutting forces modeling considering the effect of tool thermal property—application to CBN hard turning

    Y. Huang;S.Y. Liang

  • Modeling of CBN Tool Flank Wear Progression in Finish Hard Turning

    Yong Huang;Steven Y. Liang

  • Effects of depth of cut on the redistribution of residual stress and distortion during the milling of thin-walled part

    Beizhi Li;Xiaohui Jiang;Jianguo Yang;Steven Y. Liang

  • Residual Stress Modeling in Orthogonal Machining

    S.Y. Liang;J.-C. Su

  • Analytical modelling of residual stress in additive manufacturing

    O Fergani;F Berto;T Welo;S Y Liang

  • Predictive modeling of transition undeformed chip thickness in ductile-regime micro-machining of single crystal brittle materials

    Siva Venkatachalam;Xiaoping Li;Steven Y. Liang

  • Modeling of Cutting Forces Under Hard Turning Conditions Considering Tool Wear Effect

    Yong Huang;Steven Y. Liang

  • The mechanism of ductile chip formation in cutting of brittle materials

    K. Liu;X. P. Li;S. Y. Liang

  • Analytical Modeling of In-Process Temperature in Powder Bed Additive Manufacturing Considering Laser Power Absorption, Latent Heat, Scanning Strategy, and Powder Packing.

    Jinqiang Ning;Daniel E Sievers;Hamid Garmestani;Steven Y Liang

  • Dynamic Prognostic Prediction of Defect Propagation on Rolling Element Bearings

    Y. Li;S. Billington;C. Zhang;T. Kurfess

  • MANUFACTURING PROCESSES AND EQUIPMENT

    Steven Y. Liang

Frequent Co-Authors

Hamid Garmestani
Hamid Garmestani Georgia Institute of Technology
Zhenyuan Jia
Zhenyuan Jia Dalian University of Technology
Yong Huang
Yong Huang University of Florida
Albert J. Shih
Albert J. Shih University of Michigan–Ann Arbor
Lihui Wang
Lihui Wang Royal Institute of Technology
Thomas R. Kurfess
Thomas R. Kurfess Oak Ridge National Laboratory
Ismail Lazoglu
Ismail Lazoglu Koç University
Shreyes N. Melkote
Shreyes N. Melkote Georgia Institute of Technology
Wayne J. Book
Wayne J. Book Georgia Institute of Technology
Yiming Rong
Yiming Rong Southern University of Science and Technology

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