摘要
以CO2气体保护焊为研究对象,通过对其碳排放特性进行分析,综合考虑物料、能源及工艺三个碳排放源,建立了焊接工艺碳排放特性函数;以质量和成本为约束,利用广义回归神经网络拟合各输入参数与质量、成本和碳排放的关系,建立了碳排放综合评价优化模型,并采用遗传算法进行求解。将该模型应用于装载机燃油箱焊接工艺参数的选择,应用结果表明,该模型能在保证油箱焊接质量和成本的前提下降低工艺过程碳排放。
The carbon emission function of C02 shielded welding was proposed based on the analy- sis of its carbon emissions behavior by synthesizing the material carbon emission,energy carbon emis- sion and process carbon emission. In order to optimize its carbon emissions while guaranteeing its cost and quality, a comprehensive evaluation model of carbon emission performance was then established by taking advantage of the GRNN to approximate the relationship between welding parameters and the carbon emission,quality and cost. Furthermore, genetic algorithm was applied to resolve this model. Finally, the model was validated by the investigation of welding process of loader fuel tank and the re- sults show that the model can reduce the carbon emissions while guaranteeing the quality and cost welding.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2013年第17期2398-2403,共6页
China Mechanical Engineering
基金
国家自然科学基金资助项目(51075415)
重庆市自然科学基金资助项目(CSTC 2010BB0055)
关键词
焊接碳排放
GRNN网络
遗传算法
参数选择
carbon emission of welding process
general regression neural network （GRNN）
genet- ic algorithm
parameter selection
