• 学术搜索
  • 科研智能体
    • Research Labs
    • AI 阅读
    • AI 文库
    • 深度研究
    • 学者亮点
  • 学术资源
    • AI2000
    • 期刊/会议
    • 学者库
    • 学术API
    • 溯源树
    • 数据集
  • 知识沉淀
    • 学术空间
订阅小程序
旧版功能
aminer vip
开通会员低至0.73元/天
一次搞定AI科研
立即登录
  • English
  • 联系方式
    M

    Moscow State Technological University

    院校EST. 1930
    1万论文总数
    4.1万引用总数

    The Moscow State University of Technology "STANKIN" (MSUT "STANKIN") (Russian: Московский Государственный Технологический Университет "СТАНКИН" (МГТУ "СТАНКИН")), previously the Moscow Machine and Tool Institute (Russian: Московский станкоинструментальный институт, tr. Moskovsky stankoinstrumental'ny institut), the name of which is still preserved in the acronym STANKIN (Russian: СТАНКИН), is a Russian technical higher education institution founded in 1930. Today STANKIN trains specialists in machinery, robotics, CNC's, electronics, automation and control systems, economics of enterprises, informatics and measurement systems..

    论文量&引用量时间轴

    机构学者

    排序
    Sergey Nikolaevich Grigoriev
    Sergey Nikolaevich Grigoriev
    Department of High-Efficiency Machining Technologies, Moscow State Technological University Stankin
    论文:161引用:0H-index:0
    Viacheslav Voronin
    Viacheslav Voronin
    Center of Cognitive Technologies and Machine Vision, Moscow State Technological University
    论文:104引用:0H-index:0
    A.A. Vereschaka
    A.A. Vereschaka
    IDTI Russian Academy of Sciences
    论文:88引用:0H-index:0
    Sergey N. Grigoriev
    Sergey N. Grigoriev
    Moscow State Technological University “Stankin,”,
    论文:74引用:0H-index:0
    Marina A. Volosova
    Marina A. Volosova
    Moscow State Technological University Stankin
    论文:74引用:0H-index:0
    Vasily Zarubin
    Vasily Zarubin
    Moscow State Technical University
    论文:51引用:0H-index:0
    Georgi Kuvyrkin
    Georgi Kuvyrkin
    N. É. Bauman, Moscow State Technical University
    论文:47引用:0H-index:0
    A. L. Vorontsov
    A. L. Vorontsov
    Moscow State Technical University
    论文:42引用:0H-index:0
    V. A. Grechishnikov
    V. A. Grechishnikov
    Dept Cutting Tools & Shaping Technol, Moscow State Univ Technol STANKIN
    论文:39引用:0H-index:0

    论文(10000)

    年份
    起
    –
    止
    排序
    1Laser Cladding of Wear-Resistant Coatings to Improve the Operational Reliability of Parts Operating in Aggressive Environments
    P. Yu. Peretyagin, S. R. Shekhtman, N. A. Sukhova, P. A. Naumenko, A. A. Mozhaev, S. N. Grigoriev

    Working in aggressive environmental conditions and the interaction of friction pairs place increased demands on modern parts used in the aircraft-engine industry, electric-power industry, and medicine. Often, working in such conditions leads to premature failure of parts and equipment, as well as energy losses due to friction and wear processes. Modern technologies for surface modification and coating by various methods can improve the performance of such parts. The technology of laser surfacing of wear-resistant coatings in combination with preliminary surface modification makes it possible to create a protective layer on the surface and strengthen it. This article provides an overview of modern methods of surface modification and protective coating using various physical technologies, highlighting their advantages and disadvantages. The most promising method is laser surfacing of wear-resistant coatings with preliminary surface modification. An algorithm of the laser surfacing process has been developed for this technology. It is proposed to use a new wear-resistant coating of powder materials based on chromium and molybdenum carbides. The effect of the mixture composition on the properties of the synthesized coating is determined. The adhesive strength and thickness of the coating were evaluated.

    2026Russian Engineering Research(2026)引用:23
    引用
    AI阅读
    加入学术空间
    2Application of Neural Network Methods for Quality Control of Mechanical Engineering Products During Their Selective Laser Melting
    P. Yu. Peretyagin, N. V. Khodanovich, P. A. Podrabinnik, G. G. Aslanyan, N. S. Grigoriev

    This article presents an application of the YOLOv8 model to the automated detection of surface defects in mechanical engineering products during industrial research using additive manufacturing of metals. The article discusses the dataset formation, the model training process, and the results of applying the proposed solution to automated quality control of mechanical engineering products manufactured using additive manufacturing.

    2026Russian Engineering Research(2026)引用:21
    引用
    AI阅读
    加入学术空间
    3On One Exact Solution of the Boundary Value Problem of the Contact Interaction of a Settling Plastic Layer with Elastic Bodies
    V. A. Kadymov, E. A. Yanovskaya, E. B. Frolov

    As set out by A.A. Ilyushin and I.A. Kiiko, a boundary value problem of plastic flow in a thin layer enclosed between two approaching surfaces of elastically deformable bodies of the tool is formulated. For the case of the Winkler model of an elastic body, a solution to the axisymmetric problem of the compression of a plastic layer in the ring-shaped area is written out in analytical form.

    2026Russian Engineering Research(2026)引用:5
    引用
    AI阅读
    加入学术空间
    4Nonlinear Surface Electromagnetic Waves in Multilayer Dielectric Media and Their Propagation Stability in Technological Systems
    E. M. Krasikova, L. A. Uvarova, M. Yu. Prus, O. E. Yaremko, A. B. Nadykto

    The article examines the stability of soliton-like solutions of the nonlinear Schrödinger equation with two types of nonlinear dependence of the dielectric constant on the electromagnetic-field strength. A multilayer structure of dielectric media obeying Kerr’s law and the saturation effect is considered, taking into account the absorption of part of the incident radiation by the medium. Numerical modeling is carried out to study the occurrence of the phenomenon of optical bistability and stability of wave propagation depending on the type of optical nonlinearity of the material.

    2026Russian Engineering Research(2026)引用:5
    引用
    AI阅读
    加入学术空间
    5Damage Evolution and Abrasive Wear Behaviors Involved in Ultrafast Laser-Assisted Grinding of SiC Ceramics
    Yue Liu,Chen Li, Ziyi Wang,Yanquan Geng, Oleg Zakharov, Yue Wang,Yuxiu Hu

    To reveal the damage and material removal mechanisms of SiC ceramics during laser-assisted grinding, molecular dynamics simulations were conducted. The effects of grinding force, coefficient of friction (COF), stress distribution, subsurface damage, and abrasive wear were systematically investigated. The results revealed that the damage mechanisms in laser-assisted grinding of SiC ceramics primarily involved stress-induced amorphization transitions, dislocations, stacking faults, and vacancies. As the laser power density and laser radius increased, the extent of amorphization transition intensified, leading to improved grinding quality and reduced COF and abrasive wear. However, excessive laser power density induced thermal damages and deteriorated the surface/subsurface quality. In addition, a smaller grinding depth and a higher grinding speed effectively delayed the abrasive wear.

    2026TRIBOLOGY INTERNATIONAL(2026)引用:3
    引用
    AI阅读
    加入学术空间
    立即登录,查看全部 10000 篇论文

    合作机构(100)

    俄罗斯科学院合作论文 761
    莫斯科动力工程研究所合作论文 150
    Bauman Moscow State Technical University合作论文 140
    莫斯科罗蒙诺索夫国立大学合作论文 124
    俄罗斯人民友谊大学合作论文 113
    莫斯科国立大学合作论文 98
    Moscow Polytechnic University合作论文 68
    莫斯科工程物理研究所合作论文 65
    Financial University合作论文 48
    Plekhanov Russian University of Economics合作论文 44

    机构统计