Recent Advances in Laser Surface Hardening: Techniques, Modeling Approaches, and Industrial Applications

被引:2
|
作者
Lach, Lukasz [1 ]
机构
[1] AGH Univ Krakow, Fac Met Engn & Ind Comp Sci, Al Mickiewicza 30, PL-30059 Krakow, Poland
关键词
laser surface hardening; automotive; aerospace; finite element method; analytical methods; empirical models; data-driven models; machine learning; AI integration; STEEL; OPTIMIZATION; NETWORK; GLASS; LIFE;
D O I
10.3390/cryst14080726
中图分类号
O7 [晶体学];
学科分类号
0702 ; 070205 ; 0703 ; 080501 ;
摘要
The article provides a comprehensive review of the latest developments in the field of laser surface hardening (LSH) and its modeling techniques. LSH is a crucial process for enhancing the surface properties of metals, particularly their hardness and wear resistance, without compromising their bulk properties. This review highlights the fundamental principles of LSH, the types of lasers used, and the key parameters influencing the hardening process. It delves into various modeling approaches, including finite element method (FEM) simulations, analytical models, and empirical models (using statistical methods), emphasizing the integration of advanced computational techniques such as machine learning and artificial intelligence to improve the accuracy and efficiency of LSH simulations. The review also explores practical applications across different industries, showcasing how LSH models have been used to solve real-world challenges in the automotive, aerospace, and tool manufacturing sectors. Finally, it addresses current limitations and outlines future research directions, suggesting potential areas for further advancements in the modeling and application of LSH processes.
引用
收藏
页数:35
相关论文
共 50 条
  • [21] Recent Advances in Metagenomic Approaches, Applications, and Challenge
    Lema, Niguse K.
    Gemeda, Mesfin T.
    Woldesemayat, Adugna A.
    CURRENT MICROBIOLOGY, 2023, 80 (11)
  • [22] RECENT DEVELOPMENTS IN SURFACE-HARDENING TECHNIQUES.
    Dawes, C.
    Tranter, D.F.
    1978, 5 (pt 8): : 278 - 285
  • [23] Recent Advances in Machine Learning Techniques and Applications
    Sidorov, Grigori
    Koeppen, Mario
    Cruz-Cortes, Nareli
    INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2011, 2 (03) : 123 - 124
  • [24] Recent Advances and Developments in Hyphenated Techniques and their Applications
    Wilson, Jero Victor
    Karthikeyan, L., V
    Parida, Shubham Kumar
    Nath, Bikash Chandra
    Jeyaprakash, M. R.
    JOURNAL OF PHARMACEUTICAL RESEARCH INTERNATIONAL, 2020, 32 (43) : 58 - 68
  • [25] Laser cleaning techniques in industrial applications
    Tupuola, Wayne
    Photonics Spectra, 2020, 54 (02) : 40 - 45
  • [26] Recent advances in neural network-based inverse modeling techniques for microwave applications
    Jin, Jing
    Feng, Feng
    Na, Weicong
    Yan, Shuxia
    Liu, Wenyuan
    Zhu, Lin
    Zhang, Qi-Jun
    INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS, 2020, 33 (06)
  • [27] SURFACE ALLOYING AND TRANSFORMATION HARDENING USING AN INDUSTRIAL LASER
    GNANAMUTHU, DS
    JOM-JOURNAL OF METALS, 1975, 27 (12): : A61 - A61
  • [28] Recent advances in precision surface mining techniques
    Oppelaar, Stephan
    Hutchins, Jim
    SYMPHOS 2013 - 2ND INTERNATIONAL SYMPOSIUM ON INNOVATION AND TECHNOLOGY IN THE PHOSPHATE INDUSTRY, 2014, 83 : 76 - 85
  • [29] Advances in Bayesian Probabilistic Modeling for Industrial Applications
    Ghosh, Sayan
    Pandita, Piyush
    Atkinson, Steven
    Subber, Waad
    Zhang, Miming
    Kumar, Natarajan Chennimalai
    Chakrabarti, Suryarghya
    Wang, Liping
    ASCE-ASME JOURNAL OF RISK AND UNCERTAINTY IN ENGINEERING SYSTEMS PART B-MECHANICAL ENGINEERING, 2020, 6 (03):
  • [30] Recent advances in VECSELs for laser projection applications
    Lindberg, H.
    Illek, S.
    Pietzonka, I.
    Furitsch, M.
    Ploessl, A.
    Haupt, S.
    Kuehnelt, M.
    Schulz, R.
    Steegmueller, U.
    Hoefer, T.
    Strauss, U.
    VERTICAL EXTERNAL CAVITY SURFACE EMITTING LASERS (VECSELS), 2011, 7919