Selection and optimization of process parameters during multi-pass laser bending process

被引:0
|
作者
Nikhil, P. [1 ]
Kumar, Vikash [1 ]
Babu, K. Arun [1 ]
机构
[1] Natl Inst Technol Calicut, Dept Mech Engn, Kozhikode 673601, Kerala, India
来源
关键词
Laser bending; Total energy; FEM; Multi-pass; TAZ; FORMING PROCESS; ANGLE;
D O I
10.1016/j.optlastec.2024.112406
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
This paper investigates the process of laser bending, the selection and optimization of process parameters for a multi-pass laser bending process. The aim is to determine the various combinations of laser process parameters, viz., laser power, scan speed, and laser beam diameter, during multi-pass laser bending. The process parameter combinations are selected such that the desired bend angle can be achieved with constraints on the maximum temperature of the workpiece. In order to achieve the desired bend angle, finite element modeling (FEM) simulations using the software package ABAQUS (R) are carried out. The findings reveal that the interaction between laser parameters and material properties has a significant impact on the bend angle; in general, higher laser power combined with slower scan speed results in larger bend angle. A newly developed heuristic algorithm, based on FEM simulations, is used to select the combinations of laser process parameters for the multi-pass laser bending process to achieve the desired bend angle. The algorithm is validated with three examples for getting the desired bend angle of two different materials, viz., AISI 304 and AH36 steel sheets. The results obtained from the developed algorithm are validated by experimental findings. Furthermore, the variation of the total energy required for laser bending and the temperature affected zone (TAZ) at different scan speeds and laser beam diameters is analyzed. The optimization of process parameters is carried out for AISI 304 steel sheet by conducting FEM simulations at different laser beam diameters and scan speeds.
引用
收藏
页数:8
相关论文
共 50 条
  • [31] A process parameters optimization method of multi-pass dry milling for high efficiency, low energy and low carbon emissions
    Zhang, Hua
    Deng, Zhaohui
    Fu, Yahui
    Lv, Lishu
    Yan, Can
    JOURNAL OF CLEANER PRODUCTION, 2017, 148 : 174 - 184
  • [32] Multi-pass turning process parameter optimization using teaching-learning-based optimization algorithm
    Rao, R. Venkata
    Kalyankar, V. D.
    SCIENTIA IRANICA, 2013, 20 (03) : 967 - 974
  • [33] Residual stress analysis of multi-pass cold spinning process
    LI, Zixuan
    Shu, Xuedao
    CHINESE JOURNAL OF AERONAUTICS, 2022, 35 (03) : 259 - 271
  • [34] Residual stress analysis of multi-pass cold spinning process
    Zixuan LI
    Xuedao SHU
    Chinese Journal of Aeronautics, 2022, 35 (03) : 259 - 271
  • [35] Modelling and measurements of mechanical behaviour in multi-pass drawing process
    Luksza, J
    Majta, J
    Burdek, M
    Ruminski, M
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1998, 80-1 : 398 - 405
  • [36] Design of an Intermediate Die for the Multi-Pass Shape Drawing Process
    Kim, Jeong-Hun
    Park, Jeong-Hyun
    Lee, Kwang-Seok
    Ko, Dae-Cheol
    Lee, Kyung-Hun
    MATERIALS, 2022, 15 (19)
  • [37] Residual stress analysis of multi-pass cold spinning process
    Zixuan LI
    Xuedao SHU
    Chinese Journal of Aeronautics , 2022, (03) : 259 - 271
  • [38] The simulation of the multi-pass and die-less spinning process
    Liu, Chun-Ho
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2007, 192 (518-524) : 518 - 524
  • [39] Total production time minimization of a multi-pass milling process via cuckoo optimization algorithm
    Mellal, Mohamed Arezki
    Williams, Edward J.
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2016, 87 (1-4): : 747 - 754
  • [40] Total production time minimization of a multi-pass milling process via cuckoo optimization algorithm
    Mohamed Arezki Mellal
    Edward J. Williams
    The International Journal of Advanced Manufacturing Technology, 2016, 87 : 747 - 754