Laboratory and experimental scale manufacturing processes are limited by human error (e.g., poor control over motion and personal subjectivity), especially under fatiguing conditions involving precise, repetitive operations, incurring compounding errors. Commercial layer-by-layer (LbL) automation devices are prohibitively high-priced (especially for academic institutions) with limited flexibility in form factor and potentially software-associated constraints/limitations. In this work, a novel automated multi-beaker dip coater was fabricated to facilitate nano cerium oxide/polymer coatings via an LbL dip coating process and the synthesis of nano ceria films via a novel successive ionic layer adsorption and reaction method on a glass substrate. Automation of tasks, such as those mediating the detailed procedures, is essential in producing highly reproducible, consistent products/materials as well as in reducing the time commitments for laboratory researchers. Herein, we detail the construction of a relatively large, yet inexpensive, LbL coating instrument that can operate over 90 cm in the horizontal axis, allowing, for example, up to eight 200 ml beakers with accompanying stir plates. The instrument is operated by simple “off-the-shelf” electronics to control the path and timing of the samples with open-source software while providing precision at ±0.01 mm. Furthermore, 3D-printed components were used to maximize the number of substrates that could be coated simultaneously, further improving the sample production rate and reducing waste. Further possibilities for automation beyond the detailed device are provided and discussed, including software interfaces, physical control methods, and sensors for data collection/analysis or for triggers of automated tasks.
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August 2021
Research Article|
August 13 2021
High-throughput and versatile design for multi-layer coating deposition using lab automation through Arduino-controlled devices Available to Purchase
Michael Hnatiuk
;
Michael Hnatiuk
1
Advanced Materials Processing and Analysis Center, Department of Materials Science and Engineering, University of Central Florida
, Orlando, Florida 32816, USA
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Dave Kimball;
Dave Kimball
2
Nicholson School of Communication, University of Central Florida
, Orlando, Florida 32816, USA
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Elayaraja Kolanthai
;
Elayaraja Kolanthai
1
Advanced Materials Processing and Analysis Center, Department of Materials Science and Engineering, University of Central Florida
, Orlando, Florida 32816, USA
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Craig J. Neal
;
Craig J. Neal
1
Advanced Materials Processing and Analysis Center, Department of Materials Science and Engineering, University of Central Florida
, Orlando, Florida 32816, USA
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Udit Kumar
;
Udit Kumar
1
Advanced Materials Processing and Analysis Center, Department of Materials Science and Engineering, University of Central Florida
, Orlando, Florida 32816, USA
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Tamil Selvan Sakthivel
;
Tamil Selvan Sakthivel
1
Advanced Materials Processing and Analysis Center, Department of Materials Science and Engineering, University of Central Florida
, Orlando, Florida 32816, USA
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Sudipta Seal
Sudipta Seal
a)
1
Advanced Materials Processing and Analysis Center, Department of Materials Science and Engineering, University of Central Florida
, Orlando, Florida 32816, USA
3
College of Medicine, Biionix Cluster, University of Central Florida
, Orlando, Florida 32816, USA
a)Author to whom correspondence should be addressed: [email protected]
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Michael Hnatiuk
1
Dave Kimball
2
Elayaraja Kolanthai
1
Craig J. Neal
1
Udit Kumar
1
Tamil Selvan Sakthivel
1
Sudipta Seal
1,3,a)
1
Advanced Materials Processing and Analysis Center, Department of Materials Science and Engineering, University of Central Florida
, Orlando, Florida 32816, USA
2
Nicholson School of Communication, University of Central Florida
, Orlando, Florida 32816, USA
3
College of Medicine, Biionix Cluster, University of Central Florida
, Orlando, Florida 32816, USA
a)Author to whom correspondence should be addressed: [email protected]
Rev. Sci. Instrum. 92, 084105 (2021)
Article history
Received:
June 14 2021
Accepted:
July 31 2021
Citation
Michael Hnatiuk, Dave Kimball, Elayaraja Kolanthai, Craig J. Neal, Udit Kumar, Tamil Selvan Sakthivel, Sudipta Seal; High-throughput and versatile design for multi-layer coating deposition using lab automation through Arduino-controlled devices. Rev. Sci. Instrum. 1 August 2021; 92 (8): 084105. https://doi.org/10.1063/5.0059950
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