Process Performance with Regards to Surface Roughness of the CO2 Laser Cutting of AA6061-T6 Aluminium Alloy

被引:0
作者
Parthiban, A. [1 ]
Ravikumar, R. [2 ]
Kumar, B. Suresh [3 ]
Baskar, N. [3 ]
机构
[1] Jayaram Coll Engn & Technol, Dept Mech Engn, Tiruchirappalli 621014, Tamil Nadu, India
[2] PGP Coll Engn & Technol, Dept Mech Engn, Namakkal 637207, Tamil Nadu, India
[3] MAM Coll Engn, Dept Mech Engn, Tiruchirappalli 621105, Tamil Nadu, India
关键词
CO2; laser; aluminium alloy; AA; 6061-T6; cutting; surface roughness; process parameters; design of experiments (DOE); response surface methodology (RSM); Box-Behnken design; MULTIOBJECTIVE OPTIMIZATION; PROCESS PARAMETERS; LASER; QUALITY; PREDICTION; DESIGN;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Laser cutting requires dependable prediction models for estimates of the process performance on surface roughness. For that reason this paper focused on investigations into machining parameters of CO2 laser cutting of the aluminium alloy AA 6061-T6 surface roughness because AA 6061-T6 plays a vital role in aeronautical and automobile construction. Design of experiments (DOE) was brought in to design the experimental arrangement for analysis. Due to this three level of parameters considered, the Box-Behnken design was used and it is utilized to develop the experimental layout of AA 6061-T6 CO2 laser cutting. Indeed, if this needs of work are required to study the influence of cutting condition on surface roughness with DOE concepts. Generally the significant input parameters studies as like previous are laser power, cutting speed, gas pressure and focal position. The same is investigated and presented in this work. Examine that the regression model is used to build the surface roughness model for laser cutting was constructed using response surface methodology (RSM). Subsequently, the validations of experimental results were carried out in this paper. Although finally results show that the linear model has the best agreement with experimental results. The same is presented and reported in this study.
引用
收藏
页码:327 / 341
页数:15
相关论文
共 16 条
  • [1] Laser cutting of different polymeric plastics (PE, PP and PC) by a CO2 laser beam
    Caiazzo, F
    Curcio, F
    Daurelio, G
    Minutolo, FMC
    [J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2005, 159 (03) : 279 - 285
  • [2] Use of the grey relational analysis to determine optimum laser cutting parameters with multi-performance characteristics
    Caydas, Ulas
    Hascalik, Ahmet
    [J]. OPTICS AND LASER TECHNOLOGY, 2008, 40 (07) : 987 - 994
  • [3] Laser cutting of polymeric materials: An experimental investigation
    Choudhury, I. A.
    Shirley, S.
    [J]. OPTICS AND LASER TECHNOLOGY, 2010, 42 (03) : 503 - 508
  • [4] Robust parameter design and multi-objective optimization of laser beam cutting for aluminium alloy sheet
    Dubey, Avanish Kumar
    Yadava, Vinod
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2008, 38 (3-4) : 268 - 277
  • [5] Multi-objective optimisation of laser beam cutting process
    Dubey, Avanish Kumar
    Yadava, Vinod
    [J]. OPTICS AND LASER TECHNOLOGY, 2008, 40 (03) : 562 - 570
  • [6] Effect of CO2 laser cutting process parameters on edge quality and operating cost of AISI316L
    Eltawahni, H. A.
    Hagino, M.
    Benyounis, K. Y.
    Inoue, T.
    Olabi, A. G.
    [J]. OPTICS AND LASER TECHNOLOGY, 2012, 44 (04) : 1068 - 1082
  • [7] Investigating the CO2 laser cutting parameters of MDF wood composite material
    Eltawahni, H. A.
    Olabi, A. G.
    Benyounis, K. Y.
    [J]. OPTICS AND LASER TECHNOLOGY, 2011, 43 (03) : 648 - 659
  • [8] Effect of process parameters and optimization of CO2 laser cutting of ultra high-performance polyethylene
    Eltawahni, H. A.
    Olabi, A. G.
    Benyounis, K. Y.
    [J]. MATERIALS & DESIGN, 2010, 31 (08) : 4029 - 4038
  • [9] Optimization of laser cutting processes using design of experiments
    Huehnlein, K.
    Tschirpke, K.
    Hellmann, R.
    [J]. LASER ASSISTED NET SHAPE ENGINEERING 6, PROCEEDINGS OF THE LANE 2010, PART 2, 2010, 5 : 243 - 252
  • [10] Optimization of Prediction Error in CO2 Laser Cutting process by Taguchi Artificial Neural Network Hybrid with Genetic algorithm
    Nukman, Y.
    Hassan, M. A.
    Harizam, M. Z.
    [J]. APPLIED MATHEMATICS & INFORMATION SCIENCES, 2013, 7 (01): : 363 - 370