Design and development of a semi-automated pelletizer machine using madre de agua, corn, and rice bran for piggery feeds production/ Katherine G. Caducio, Kyen Marthy M. Flores, Bunch Michael D. Legaspi, Danica G. Lerin, Joanna Marie C. Luison, and Josh Arvin C. Masilang.--
Material type:
TextPublication details: Manila: Technological University of the Philippines, 2025.Description: xi, 87pages: 29cmContent type: - BTH TK 147 C33 2025
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Bachelor's Thesis COE
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TUP Manila Library | Thesis Section-2nd floor | BTH TX 147 C33 2025 (Browse shelf(Opens below)) | c.1 | Not for loan | BTH0006743 |
Bachelor's thesis
College Of Engineering.--
Bachelor of science in electrical engineering: Technological University of the Philippines,
2025.
Includes bibliographic references and index.
This study focuses on the design and development of a semi-automated pelletizer
machine that converts Madre de Agua, corn, and rice bran into piggery feeds. The project
aims to support small and medium-scale farmers by offering a cost-efficient and labor-
saving alternative to commercial pellet feeds. The machine is composed of a heat chamber,
dispenser with load cell and linear actuator, grinder, and pelletizer, all managed by an
Arduino Mega 2560 microcontroller. The automation system is designed to monitor
temperature, weight, and motion in real time to ensure consistent pellet quality. By using
natural and affordable ingredients, the machine also contributes to sustainable feed
production practices. The design integrates local materials and off-the-shelf electronics to
maintain low construction costs. Nutritional benefits from the selected ingredients support
the dietary needs of grown and finisher pigs.
The prototype was evaluated to determine whether it could operate efficiently while
producing quality pellets suitable for piggery applications. Performance testing was carried
out through three calibration trials to measure drying time, pellet output, moisture control,
and sensor accuracy. The heat chamber consistently dried materials for an average of 20
minutes, with a steady internal mixer rotating at 40 RPM. The load cell showed accurate
weight readings within a ±31-gram margin, while the servo motor rotated the dispensing
bucket close to the 90° target. The moisture sensor recorded final values between 11.8%
and 12.2%, which falls within the acceptable pelletizing range of 10–14%. The pelletizer
operated at a stable rate of 15 kg/hour across all tests, producing uniform and well-formed
pellets. The Arduino-based control system reacted precisely in a second, proving quick and
dependable automation. Overall, the prototype strongly met all working goals and
demonstrated consistent production. The prototype can shorten feed production time,
enhance feed attribute, and economical production with proper calibration. This proposal
provides a feasible and replicable finding for the local livestock Farmer looking to improve
their feed manufacturing procedures. Furthermore, this thesis serves as a cornerstone for
forthcoming study on enhancing automated feed production systems in small-scale
agriculture.
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