International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Optimization of Photovoltaic Module Lamination Process Using Design of Experiments and Statistical Process Control |
|---|---|
| ABSTRACT | The lamination process is a critical determinant of photovoltaic (PV) module reliability, encapsulation integrity, and long-term field performance. This study presents a systematic investigation of five key lamination process variables - lamination temperature, pressure, cycle time, vacuum hold time, and EVA cure rate - using a Taguchi L16 orthogonal array design within a full Design of Experiments (DoE) framework. Analysis of variance (ANOVA) identified lamination temperature and lamination pressure as the dominant factors governing peel adhesion strength, accounting for 57.6% and 18.1% of total process variation, respectively. A response surface model was developed to map the adhesion response across the factor space (R² = 0.947), enabling precise identification of the optimal parameter combination. Following optimization, confirmation trials demonstrated a 39.4% improvement in mean peel adhesion, an 84.9% reduction in air bubble formation, and an 87.2% reduction in delamination incidence. Statistical Process Control (SPC) charts deployed during a 90-day post-optimization monitoring period confirmed sustained process stability, with all critical quality metrics exhibiting process capability indices (Cpk) exceeding 1.33. The integrated DoE-SPC methodology provides a transferable, data-driven framework for continuous quality improvement in PV module manufacturing. |
| AUTHOR | SEKHAR TATINENI Senior Director, Engineering and Production Systems Development, Singapore |
| VOLUME | 148 |
| DOI | DOI: 10.15680/IJIRCCE.2023.1109036 |
| pdf/36_Optimization of Photovoltaic Module Lamination Process Using Design of Experiments and Statistical Process Control.pdf | |
| KEYWORDS | |
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