Automated Paste Production System using Programmable Logic Controller (PLC) for Screen Printing Industry
The automated paste production system utilizing a Programmable Logic Controller (PLC) is designed to address the inconsistencies in traditional manual mixing methods, which often result in variations in paste quality, leading to defects in final products. The system's automation aims to improve accuracy in measuring ingredients and ensure a consistent mix every time, thereby reducing manual labor, minimizing human error, and enhancing workplace safety by limiting direct contact with chemicals. This innovative solution also enhances process speed, allowing for increased production without compromising quality. The system's easy operation and adaptability to various production needs simplify the manufacturing process, enabling companies to streamline their operations and meet growing demand more efficiently. This project offers a reliable and cost-effective solution that not only improves paste consistency but also boosts productivity in the screen printing industry. By reducing manual work and ensuring precise control over ingredient mixing, this automation system holds great potential for enhancing both product quality and operational efficiency, ultimately addressing the limitations of traditional methods and providing a modern, practical solution to meet the evolving needs of the screen printing industry. The proposed automated system also provides real-time monitoring and control capabilities, enabling operators to track the paste preparation process and adjust settings as needed to ensure optimal results. This level of visibility and control helps companies identify and address potential issues before they affect production, further minimizing errors and waste and improving overall efficiency.
Authors
- S Maheswari
- R Priya
- S. Nathin
- B.S. Nethish
- Ms.M.Lizzy Nesa Bagyam
Institutions
- Madurai Medical College (IN)
Publication Details
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1109/icoei65986.2025.11013766
- Primary Topic
- Advanced Manufacturing and Logistics Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00