Fajriana, Bintang Nur (2026) Monitoring Kecepatan Putar RPM untuk Mengkaji Performa Energi Mekanik Automatic Grain Dryer. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Proses pengeringan gabah pada Automatic Grain Dryer sangat dipengaruhi oleh kestabilan kecepatan putar motor sebagai penggerak mekanis pengaduk. Ketidakstabilan RPM dapat menyebabkan pengeringan tidak merata hingga meningkatnya konsumsi energi. Oleh karena itu, diperlukan sistem monitoring yang mampu mengukur performa energi mekanik motor secara akurat dan real-time. Pada proyek akhir ini dikembangkan sistem monitoring RPM menggunakan sensor proximity berbasis Hall Effect yang terintegrasi dengan PLC Siemens S7 1200, dengan hasil pengukuran ditampilkan pada HMI Haiwell B7H. Pengujian dilakukan pada empat variasi berat gabah, yaitu tanpa gabah selama 30 menit, 5 kg selama 30 menit, 10 kg selama 10 menit, dan 12,5 kg selama 75 menit yang divalidasi dengan tachometer. Sensor proximity menunjukkan akurasi tinggi sebesar 99,87% dengan error 0–0,5%, dan terjadi fluktuasi RPM sebesar ±2–6 RPM sehingga tergolong sebagai random drift yang dipengaruhi oleh getaran mekanis serta kenaikan temperatur motor dan lingkungan saat pengujian. Dengan ini, sensor proximity layak digunakan sebagai sensor utama monitoring RPM pada Automatic Grain Dryer. Hasil pengujian menunjukkan bahwa penambahan beban tidak menyebabkan penurunan RPM yang signifikan, di mana nilai RPM tetap stabil pada kisaran 1476–1488 RPM. Stabilitas ini dipengaruhi oleh penggunaan gearbox 1:50 yang menjaga kebutuhan torsi motor tetap rendah serta interaksi gabah di dalam chamber yang hanya terisi 4,71–10% sehingga hambatan mekanik juga tetap rendah. Seiring bertambahnya beban, torsi dan energi mekanik meningkat secara halus, sementara sebagian besar daya hilang sebagai rugi gesekan dan panas sehingga peningkatan energi mekanik tidak bersifat drastis. Efisiensi daya berada pada rentang 99% 101%, menandakan performa motor sangat baik dengan rugi daya minimal dan sistem bekerja pada kondisi steady state. Secara keseluruhan, sistem monitoring yang dikembangkan mampu menampilkan RPM, torsi, dan energi mekanik secara akurat, stabil, dan real-time.
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The grain drying process in an Automatic Grain Dryer is greatly influenced by the stability of the motor speed as the mechanical agitator drive. RPM instability can cause uneven drying and increased energy consumption. Therefore, a monitoring system is needed that can accurately measure the mechanical energy performance of the motor in real time. In this final project, an RPM monitoring system was developed using a Hall Effect-based proximity sensor integrated with a Siemens S7-1200 PLC, with the measurement results displayed on a Haiwell B7H HMI. Testing was conducted on four variations of grain weight, namely without grain for 30 minutes, 5 kg for 30 minutes, 10 kg for 10 minutes, and 12.5 kg for 75 minutes, which was validated with a tachometer. The proximity sensor showed high accuracy of 99.87% with an error of 0–0.5%, and there was an RPM fluctuation of ±2–6 RPM, which was classified as random drift influenced by mechanical vibrations and an increase in motor and environmental temperature during testing. With this, the proximity sensor is suitable for use as the main sensor for monitoring RPM in an Automatic Grain Dryer. Test results show that the addition of load does not cause a significant decrease in RPM, where the RPM value remains stable in the range of 1476–1488 RPM. This stability is influenced by the use of a 1:50 gearbox that keeps the motor torque requirement low and the interaction of grain in the chamber, which is only 4.71–10% full, so that mechanical resistance also remains low. As the load increases, the torque and mechanical energy increase smoothly, while most of the power is lost as friction and heat losses, so that the increase in mechanical energy is not drastic. Power efficiency ranges from 99% to 101%, indicating excellent motor performance with minimal power loss and the system operating in steady-state conditions. Overall, the developed monitoring system accurately, stably, and in real-time displays RPM, torque, and mechanical energy.
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