DESIGN AND BUILD A MICROCONTROLLER BASED DIP COATER TOOL WITH AN AUTOMATIC CALIBRATION SYSTEM

Dip-coating is essential for coating materials evenly, as imperfections like macropores can impact material properties. This project presents a digitally controlled dip-coating tool that manages withdrawal speed, immersion time, and speed via a microcontroller with an automatic calibration system. Employing a stepper motor and mathematical formula approach, the tool achieves high precision by automatically adjusting dipping parameters, with key metrics including resolution-dependent Vl, calibration speed Vpc and calibration targets tpc, and Sc. The system reaches stable calibration at Vms = Vpc. ensuring rapid, accurate calibration and minimizing errors to 0-2% across 20 to 650 steps. Additionally, the tool’s energy-efficient design consumes less power than other dip-coating systems, providing both durability and accuracy.

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Publication Details

Journal
Indonesian Physical Review
Published
2024-11-11
DOI
https://doi.org/10.29303/ipr.v8i1.364
Citations
2
Primary Topic
Sensor Technology and Measurement Systems
Type
article
Field-Weighted Citation Impact
0.70
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article

DESIGN AND BUILD A MICROCONTROLLER BASED DIP COATER TOOL WITH AN AUTOMATIC CALIBRATION SYSTEM

Anton Hartanto, Nizar Rizki Rahman, Irfan Subiantoro, Imam Sya’roni et al.
2 citations
Indonesian Physical Review
Sensor Technology and Measurement Systems
0.70
article

DESIGN AND BUILD A MICROCONTROLLER BASED DIP COATER TOOL WITH AN AUTOMATIC CALIBRATION SYSTEM

Anton Hartanto, Nizar Rizki Rahman, Irfan Subiantoro, Imam Sya’roni, Agus Dwi Prasetyono
article en
2 citations

Abstract

Dip-coating is essential for coating materials evenly, as imperfections like macropores can impact material properties. This project presents a digitally controlled dip-coating tool that manages withdrawal speed, immersion time, and speed via a microcontroller with an automatic calibration system. Employing a stepper motor and mathematical formula approach, the tool achieves high precision by automatically adjusting dipping parameters, with key metrics including resolution-dependent Vl, calibration speed Vpc and calibration targets tpc, and Sc. The system reaches stable calibration at Vms = Vpc. ensuring rapid, accurate calibration and minimizing errors to 0-2% across 20 to 650 steps. Additionally, the tool’s energy-efficient design consumes less power than other dip-coating systems, providing both durability and accuracy.

Indonesian Physical ReviewVol. 8(1)
National Taiwan University of Science and Technology (TW), Universitas Negeri Surabaya (ID)
Affordable and clean energy
Openalex Percentile: Top 27%
Sensor Technology and Measurement Systems
0.70
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