摘要
针对回流焊自动生产过程中带速波动问题,提出基于改进的APC策略消除噪声影响的优化方案.在生产过程中对输出参数进行监测,当特征值超出规定值时,启动APC策略对初始设置参数进行调整,优化过程采用BPNN-GA技术实现.定义特征值的田口质量损失函数,以田口过程能力指数对优化效果进行评估.测试结果显示,相对于传统的APC策略,所建立的改进方案保证了过程稳定,降低了调整频率,提高了优化速度.
To reduce the speed fluctuations in the reflow soldering process, an optimization scheme based on the improved automatic process control （APC） was proposed. The output characteristics were monitored during the production process. When the characteristic value exceeded the predetermined value, APC policy was started to adjust the initial setting parameters and BP neural network-genetic algorithm technology was used to achieve the optimization process. The Taguchi mass loss function of the product was defined and the Taguchi process capability index was calculated for evaluation. The test results showed that, compared with traditional APC scheme, the improved scheme ensures the process stability, decreases the adjust frequency and improves the optimization speed.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2014年第4期555-558,共4页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金资助项目(50875168)
教育部新世纪优秀人才支持计划项目(NCET-11-0328)
关键词
回流焊
自动过程控制
参数优化
质量损失函数
过程能力指数
reflow soldering
automatic process control
parameter optimization
mass lossfunction
process capacity index
