摘要
目前,国内外85%以上的太阳能电池栅线都采用导电浆料丝网印刷制造,这是实现其小尺寸、低成本最可行的技术途径。但在复杂的非线性动态丝网印刷过程中,诸多工艺参数的微小动态偏差及其相互干扰影响,必然造成墨膜栅线存在不可控的结构变形和表面粗糙。该文针对栅线的电性能与印制品质的关系进行了研究,给出了栅线印制品质的定量评价数学模型,建立了栅线电性能设计参数与墨膜实际参数的关联模型,并利用神经网络对关联模型进行仿真分析,最后通过实例验证了该关联模型及仿真方法的有效性和实用性。
Currently,more than 85% of domestic and foreign gate lines and electrode of solar cell are manufactured with conductive paste by screen printing technique,which is the most practical way to realize small size and low cost.But in the complex nonlinear and dynamic screen printing process,many small dynamic errors and the mutual interference will inevitably lead to the un-controlled deformation of the structure and rough surfaces of the printed conductive wires.The relationship between the electrical properties of the gate line and the printing quality has been studied.The quantitative evaluation model of the printing quality has been obtained and the relevance model between the design parameters of the gate line electrical properites and the actual parameters of the ink film has been established.The established model has been simulated by using the neural network.Finally,the practicality and effectiveness of the relevance model and the simulation method have also been verified by experiment.
出处
《压电与声光》
CSCD
北大核心
2011年第2期305-309,共5页
Piezoelectrics & Acoustooptics
基金
浙江省自然科学基金资助项目(Y1080563)
财政部包装行业高新技术研发资金项目(KYZ226709001)
关键词
太阳能电池
电性能
丝网印刷
印制品质
关联模型
solar cells
electrical properties
screen printing
printing quality
relevance model
