Computing and Library Services - delivering an inspiring information environment

Comparative study between online and offline defect assessment methods for roll to roll flexible PV modules

Elrawemi, Mohamed, Muhamedsalih, Hussam, Blunt, Liam, Fleming, Leigh, Martin, Haydn and Jiang, Xiang (2014) Comparative study between online and offline defect assessment methods for roll to roll flexible PV modules. In: 4th International Conference on Nanomanufacturing (nanoMan2014), 8-10 July, Bremen, Germany.

[img] PDF - Published Version
Download (555kB)


Flexible PV modules are manufactured using roll to roll (R2R) technology. These modules require a flexible barrier material to prevent water vapor ingress. The basic methodology to produce such barriers is to combine oxide layer (e.g. AlOx) coating with suitable polymer substrates. However, micro and nano scale defects can appear at any stage of the coating process thus affecting the module efficiency and lifespan. To guarantee the barrier properties, surface inspection needs to be carried out during the manufacturing process. In the present study a stabilised in-line detection system based on wavelength scanning interferometry (WSI) has accurately and reliably captured defects down to 3um in lateral dimension. The main aim of this research paper is to compare results of coherence correlation interferometry (CCI) as an offline technique with WSI results for detecting PV barrier film defects. The results show the capability of the WSI to be implemented in the manufacturing environment for defect detection in roll to roll manufacture.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TS Manufactures
Schools: School of Computing and Engineering > Centre for Precision Technologies > Surface Metrology Group
School of Computing and Engineering
Related URLs:
Depositing User: Mohamed Elrawemi
Date Deposited: 17 Jul 2014 14:58
Last Modified: 28 Aug 2021 19:02


Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©