Effect of surface integrity on fatigue life of 2024 aluminum alloy subjected to turning

被引：14
作者：
Chen, Hongtao [1 ]
Liu, Zhibing [1 ]
Wang, Xibin [1 ]
Wang, Yong [1 ]
Liu, Shuyao [1 ]
机构：
[1] Beijing Inst Technol, Sch Mech Engn, 5 South Zhongguancun St, Haidian Dist, Beijing 100081, Peoples R China
来源：
JOURNAL OF MANUFACTURING PROCESSES | 2022年 / 83卷
基金：
中国国家自然科学基金;
关键词：
Turning parameters; 2024 aluminum alloy; Surface integrity; Fatigue; NON-METALLIC INCLUSIONS; HIGH-STRENGTH STEELS; CRACK PROPAGATION; QUANTITATIVE-EVALUATION; ROUGHNESS; GROWTH; BEHAVIOR; DEFLECTION; INITIATION; STRESS;
D O I：
10.1016/j.jmapro.2022.07.070
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Changes in cutting parameters can cause changes in surface integrity and affect fatigue life. In this paper, the surface integrity and fatigue life of 2024 aluminum alloy were studied by surface integrity measurement, tensile fatigue test and fatigue fracture characterization with cutting speed and feed rate as control variables. The main factors affecting surface integrity and fatigue life were analyzed, and a fatigue life prediction model considering fracture surface roughness was proposed. Finally, the mapping relationship between surface integrity and fatigue life was established. The results showed that the feed rate contributes the most to the surface residual stress (sigma rs) and surface morphology (RaRy/Rz), and the surface residual stress (sigma rs) contributes the most to the fatigue life. The prediction accuracy of the fatigue life prediction model considering the fracture surface roughness is as high as 99 %. At the same time, Murakami equation can well explain the initiation and propagation mechanism of fatigue cracks. The increase of feed rate will increase the fatigue life, while the increase of cutting speed will reduce the fatigue life.
引用
收藏
页码：650 / 666
页数：17
相关论文
共 44 条
  • [1] High cycle fatigue behavior of hard turned 300 M ultra-high strength steel
    Ajaja, J.
    Jomaa, W.
    Bocher, P.
    Chromik, R. R.
    Brochu, M.
    [J]. INTERNATIONAL JOURNAL OF FATIGUE, 2020, 131 (131)
  • [2] Estimating the fatigue stress concentration factor of machined surfaces
    Arola, D
    Williams, CL
    [J]. INTERNATIONAL JOURNAL OF FATIGUE, 2002, 24 (09) : 923 - 930
  • [3] An examination of the effects from surface texture on the strength of fiber reinforced plastics
    Arola, D
    Ramulu, M
    [J]. JOURNAL OF COMPOSITE MATERIALS, 1999, 33 (02) : 102 - 123
  • [4] Surface roughness characterization for fatigue life predictions using finite element analysis
    As, Sigmund Kyrre
    Skallerud, Bjorn
    Tveiten, Bard Wathne
    [J]. INTERNATIONAL JOURNAL OF FATIGUE, 2008, 30 (12) : 2200 - 2209
  • [5] Fatigue and fracture behaviour of austenitic-martensitic high carbon steel under high cycle fatigue: An experimental investigation
    Banerjee, Amborish
    Prusty, B. Gangadhara
    [J]. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2019, 749 : 79 - 88
  • [6] EFFECT OF SURFACE FINISH ON FATIGUE-STRENGTH
    BAYOUMI, MR
    ABDELLATIF, AK
    [J]. ENGINEERING FRACTURE MECHANICS, 1995, 51 (05) : 861 - 870
  • [7] Effect of chamfered PCBN tool edge geometries on hard turning process
    Chen, Tao
    Yan, Fugang
    Wu, Chunya
    Pen, Hongmin
    Liu, Xianli
    [J]. ADVANCES IN MACHINING AND MANUFACTURING TECHNOLOGY IX, 2008, 375-376 : 187 - +
  • [8] Effects of inclusions, grain boundaries and grain orientations on the fatigue crack initiation and propagation behavior of 2524-T3 Al alloy
    Chen, Y. Q.
    Pan, S. P.
    Zhou, M. Z.
    Yi, D. Q.
    Xu, D. Z.
    Xu, Y. F.
    [J]. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2013, 580 : 150 - 158
  • [9] An Analysis of the Influence of Cutting Parameters on the Turning Process on the Fatigue Life of Aluminum Alloy UNS A92024-T351
    Gomez, A.
    Sanz, A.
    Marcos, M.
    [J]. ADVANCES IN MATERIALS PROCESSING TECHNOLOGIES, 2012, 498 : 19 - +
  • [10] Damage accumulation and crack initiation detection based on the evolution of surface roughness parameters
    Haghshenas, Ali
    Khonsari, M. M.
    [J]. INTERNATIONAL JOURNAL OF FATIGUE, 2018, 107 : 130 - 144
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