Mauk, M. G., & Chiou, R., & Ruiz, C. M., & Martin, C. J., & Chadha, S. H. (2018, June), Engineering Manufacturing Education:   Solar Cell Analysis and Diagnostics Using Scanning and Imaging Techniques  Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. 10.18260/1-2--30416

\bibitem{asee_peer_30416}
  Mauk, M. G., \& Chiou, R., \& Ruiz, C. M., \& Martin, C. J., \& Chadha, S. H. (2018, June), \emph{Engineering Manufacturing Education:   Solar Cell Analysis and Diagnostics Using Scanning and Imaging Techniques}
  Paper presented at 2018 ASEE Annual Conference \& Exposition , Salt Lake City, Utah.
  10.18260/1-2--30416

Michael G Mauk P.E., Richard Chiou, Carlos Michael Ruiz, Carol Jeanice Martin, and Smarth H Chadha.  "Engineering Manufacturing Education:   Solar Cell Analysis and Diagnostics Using Scanning and Imaging Techniques".  2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah, 2018, June.  ASEE Conferences, 2018.  https://peer.asee.org/30416 Internet.  15 Jan, 2025

\bibitem{asee_peer_30416}
  Michael G Mauk P.E., Richard Chiou, Carlos Michael Ruiz, Carol Jeanice Martin, and Smarth H Chadha.
  "Engineering Manufacturing Education:   Solar Cell Analysis and Diagnostics Using Scanning and Imaging Techniques".
  \emph{2018 ASEE Annual Conference \& Exposition , Salt Lake City, Utah, 2018, June}.
  ASEE Conferences, 2018.
  https://peer.asee.org/30416 Internet.  15 Jan, 2025

@INPROCEEDINGS{asee_peer_30416
author = "Michael G Mauk P.E., Richard Chiou, Carlos Michael Ruiz, Carol Jeanice Martin, and Smarth H Chadha"
title = "Engineering Manufacturing Education:   Solar Cell Analysis and Diagnostics Using Scanning and Imaging Techniques"
booktitle = "2018 ASEE Annual Conference \& Exposition "
year = "2018"
month = "June"
address = "Salt Lake City, Utah"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/30416}
number = {10.18260/1-2--30416}
}

TY  - CPAPER
AB  - Solar cells are an important renewable energy technology and serve as an informative sample type for educational demonstrations and exercises in materials science, thin films and optics, machine vision, quality assurance, manufacturing science, and process control.  Most simply, small (1 cm2) solar cells can be characterized by point measurements such as open-circuit voltage, photocurrent, efficiency, and spectral response.  However, solar cells, including large-area devices (>100 cm2) and modules, can be analyzed in much more detail by scanning and probing the solar cell to map the localized electrical and optical characteristics and performance in two dimensions.  Here we describe the adaptation of an inexpensive (approx. $100) desktop laser engraver and a low-cost CCD camera for 2-D profiling of solar cells based on light-beam induced current, spectral response, surface roughness topography, grain structure and texture, and reflectivity.  These methods give students hands-on, project-based learning activities for developing analytical tools used in research and development, manufacturing, and reliability for diverse industries including electronics, optics, displays, coatings, thin-film technology, solid-state lighting, and catalysts.  Learning assessments and adaptation for dissemination will be discussed. 
AU  - Michael G Mauk P.E.
AU  - Richard Chiou
AU  - Carlos Michael Ruiz
AU  - Carol Jeanice Martin
AU  - Smarth H Chadha
CY  - Salt Lake City, Utah
DA  - 2018/06/23
PB  - ASEE Conferences
TI  - Engineering Manufacturing Education:   Solar Cell Analysis and Diagnostics Using Scanning and Imaging Techniques
UR  - https://peer.asee.org/30416
DO  - 10.18260/1-2--30416
ER  -