摘要
激光器在金属表面标刻的控制参数多,参数对图像质量影响大。采用脉冲光纤激光在铝锭(牌号Al99.70)表面标刻二维码图像,建立了工艺参数与图像灰度值之间的优化计算模型;分析了激光加工相关参数的交互作用,对工艺参数进行了简化整合;对简化后的参数进行单因素实验,分析了标刻图像灰度值分布及变化规律并得到合理参数范围;基于单因素实验结论,建立了工艺参数与灰度值之间的多元非线性回归数学模型,利用多因素正交实验数据和免疫克隆算法对模型参数进行了拟合。实验结果证明了模型的有效性,为铝锭表面实现激光二维码标刻技术提供了理论基础。
There are numerous control parameters of metal surface marking by laser which providing great influence on image quality. Pulse fiber laser is used to mark the two-dimensional code on A199.70 aluminum ingot surface. The optimal mathematical model is established between processing parameters and gray value. The interaction between related processing parameters is analyzed, the process parameters are simplified and integrated. The single factor experiment is carried out with the simplified parameters, and the reasonable parameter range is obtained through the analysis of both distribution and change law of gray value of marked image. Finally, based on the results of single factor experiment, a multivariate nonlinear regression mathematical model between process parameters and gray value is put forward, and then the multi-factor orthogonal experiment data and immune clone algorithm are utilized for the fitting of model parameters. The effectiveness of mathematical model is demonstrated by verification experiment which provides the theoretical basis for the realization of laser two-dimensional code marking on aluminum ingot surface.
出处
《激光与光电子学进展》
CSCD
北大核心
2017年第7期189-197,共9页
Laser & Optoelectronics Progress
基金
兰州市科技支撑计划(2015-3-73)
甘肃省青年科技基金(1506RJYA103)
甘肃省先进控制重点实验室开放课题(XJK201521)
关键词
测量
激光标刻
加工参数
多元非线性回归
免疫克隆算法
脉冲光纤式激光器
measurement
laser marking
process parameters
multivariate nonlinear regression
Immune clone algorithm
pulse fiber laser