Numerical Simulation and Experimental Prediction of the Cladding Layer Based on the Response Surface Method

被引:5
|
作者
Yan, Ruhai [1 ]
Liu, Zhuang [1 ]
机构
[1] Harbin Univ Commerce, Coll Light Ind, Harbin 150028, Peoples R China
关键词
multichannel; multilayer; melting height; melting width; response surface method; regression forecasting model; LASER; POWDER;
D O I
10.3390/coatings13050845
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
To study the surface morphology of laser cladding, Workbench simulated the influence of laser power and scanning speed on the width and height of the cladding layer numerically, as well as the temperature field change and residual stress distribution of the cladding layer. The simulation results reveal that the melting height and width of the cladding layer are inversely proportional to the scanning speed. When the scanning speed is from V = 3 mm/s to V = 5 mm/s, the A(l) cladding layer's melting width and melting height are reduced by 15.59% and 20.8%, respectively. A positive correlation exists between the melting height and width of the cladding layer and the laser power. When the laser power changes from P = 23 w to P = 27 w, the welding width and height of the A(1) cladding layer increase by 6.55% and 55.56%, respectively. The melting height and width of the second cladding layer are generally higher than those of the bottom cladding layer. The pre-experiment screening process parameters ranges are laser power P (23 w-27 w) and scanning speed (3 mm/s-8 mm/s). Based on the Minitab response surface central composite method, the most notable influence on the melting height and width is revealed to be the powder-feeding rate and laser power, respectively. The response surface analysis method establishes the regression prediction models of melting width and height. The predicted value of melting width was 95.68%, and the predicted value of melting height was 82.26%. The results show that the values of cladding width and height are within the 95% prediction interval, proving that the regression model is correct.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] Design and Optimization of γ-Shaped Settlement Training Wall Based on Numerical Simulation and CCD-Response Surface Method
    Xu, Bo
    Liu, Jianfeng
    Lu, Weigang
    Xu, Lei
    Xu, Renyi
    PROCESSES, 2022, 10 (06)
  • [42] Numerical Simulation of Surface Hardened Layer of the Hydraulic Track
    Bai, Runbo
    Liu, Fusheng
    Xu, Zongmei
    ADVANCED ENGINEERING MATERIALS, PTS 1-3, 2011, 194-196 : 1333 - 1337
  • [43] An experimental/numerical method for noise radiation prediction
    Bollade, XCL
    PROCEEDINGS OF ISMA 2002: INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING, VOLS 1-5, 2002, : 2231 - 2238
  • [44] Rapid urban inundation prediction method based on numerical simulation and AI algorithm
    Pan, Xinxin
    Hou, Jingming
    Chen, Guangzhao
    Li, Donglai
    Zhou, Nie
    Imran, Muhammad
    Li, Xinyi
    Qiao, Juan
    Gao, Xujun
    JOURNAL OF HYDROLOGY, 2025, 647
  • [46] Crankshaft Optimization Based on Experimental Design and Response Surface Method
    Zheng, Bin
    Zhang, Jingdong
    Lei, Jilin
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [47] Experimental study on wear resistance of laser cladding layer on tool steel surface
    Ding, Jin-Yuan
    Zhao, Min
    Dongbei Daxue Xuebao/Journal of Northeastern University, 2002, 23 (07): : 687 - 690
  • [48] Prediction of Large Deformation Behavior in Tunnels Based on AHP–FUZZY Method and Numerical Simulation Method
    Xu J.-B.
    Chen J.-P.
    Wu S.-L.
    Pan Y.-H.
    Wang W.
    Luo Q.-Q.
    Geotechnical and Geological Engineering, 2018, 36 (1) : 151 - 163
  • [49] Numerical and experimental investigation of the neutral atmospheric surface layer
    Drobinski, Philippe
    Carlotti, Pierre
    Redelsperger, Jean-Luc
    Banta, Robert M.
    Masson, Valery
    Newsom, Rob K.
    JOURNAL OF THE ATMOSPHERIC SCIENCES, 2007, 64 (01) : 137 - 156
  • [50] Prediction of surface crack in hot forging by numerical simulation
    Kakimoto, Hideki
    Arikawa, Takefumi
    11TH INTERNATIONAL CONFERENCE ON TECHNOLOGY OF PLASTICITY, ICTP 2014, 2014, 81 : 474 - 479