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RPM MEASUREMENT COMPARISON USING A THERMOMETER AND LM393 MICROCONTROLLER Nanda, Rizki Aulia; Karyadi, Karyadi; Roban, Roban; Dewadi, Fathan Mubina
International Journal of Mechanical Engineering Technologies and Applications Vol. 5 No. 1 (2024)
Publisher : Mechanical Engineering Department, Engineering Faculty, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/MECHTA.2024.005.01.6

Abstract

RPM measurement is a crucial measurement tool for assessing a machine's rotation quality and ensuring that it meets the DC motor manufacturer's specifications. The quality of rotation of electric motors and combustion motors can both be observed through RPM measurements. The precision with which the LM393 sensor measures the rotation of a DC motor engine is the problem formulation in this study. Thus, the purpose of this study is to evaluate the rotation measurement accuracy of the LM393 Microcontroller sensor and compare it to a traditional tachometer. In order to conduct rotational variations on the DC motor, the following voltages will be applied: 0.93V, 2.83V, 4.25V, 7.05V, and 9.07V. Next, a tachometer and an LM393 microcontroller are used to measure the DC motor rotation. The gathered data will be made available for verification. Based on the measurement results, the corresponding data differences are -5.560 RPM, -1.577 RPM, -2.182 RPM, -3 RPM, and 0.334 RPM. Therefore, measurement validation was done based on the disparity in readings, yielding results of 0.252%, -1.45%, 0.12%, 0.038%, and 0.0725%. Based on validation results showing a presentation of no more than 10%, the LM393 measuring tool for DC motor RPM measurement is deemed valid and suitable for use.
PEMODELAN DAN SIMULASI PROSES PEMBUATAN MOLD KOMPLEKS DENGAN MENGGUNAKAN MESIN CNC MILLING Amir, Amir; Hakim, Afif; Roban, Roban; Aprianto, Muchammad Chusnan; Lutfi, Purnama Imam; Fauzan, Randy Ahmad; Septiana, Muhammad Rahmantio; Maulana, Riyan
TURBO [Tulisan Riset Berbasis Online] Vol 14, No 1 (2025): TURBO : Jurnal Program Studi Teknik Mesin
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/trb.v14i1.3871

Abstract

Makalah Penelitian ini bertujuan untuk memodelkan dan mensimulasikan proses pembuatan mold kompleks menggunakan mesin CNC milling, dengan fokus pada peningkatan presisi dan efisiensi produksi. Perencanaan pembuatan mold meliputi desain produk, pemilihan material, metode pembuatan, estimasi biaya dan waktu, serta pemilihan vendor. Penelitian eksperimental dilakukan dengan memanipulasi parameter pemotongan seperti kecepatan potong, kedalaman pemotongan, dan laju pemakanan, serta strategi pemesinan seperti urutan pemotongan dan arah pemotongan. Data dikumpulkan melalui observasi langsung, wawancara, dan pengukuran dimensi produk menggunakan alat inspeksi seperti kaliper digital dan height gauge digital. Hasil penelitian menunjukkan sebagian besar dimensi produk mold memenuhi toleransi yang ditetapkan, kecuali satu dimensi yang menunjukkan penyimpangan. Analisis lebih lanjut diperlukan untuk mengidentifikasi faktor-faktor penyebab penyimpangan dan mengoptimalkan parameter serta strategi pemesinan untuk meningkatkan presisi dan efisiensi produksi mold kompleks menggunakan mesin CNC milling.
Proposed Scheduling of Preventive Maintenance on Co₂ Welding Machines Based on Reliability Analysis and FMEA Methods at PT. Sub Automotive Umar Dana, Rizko; Suhara, Ade; Roban, Roban; Sayuti, Muhamad
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 22, No 2 (2025): June 2025
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v22i2.37605

Abstract

As the industry increases its dependence on production machinery, machine maintenance is a vital aspect in ensuring the smooth operation of the company. PT. Sub Automotive, as a dump truck carousel manufacturer, faces the problem of high downtime in CO₂ welding machines caused by component damage. This research aims to design an appropriate preventive maintenance schedule to reduce the frequency of damage and increase machine availability. The methods used include Mean Time Between Failure (MTBF), Mean Time To Repair (MTTR), and Overall Availability (Ao) analysis, as well as the Failure Mode and Effect Analysis (FMEA) approach to identify critical components based on the Risk Priority Number (RPN) value. The results showed an average machine availability value of 97%, exceeding the global standard of 90%. The components with the highest RPN values, namely the Control PCB (180), Nozzle (168), and Contact Tip (126), were identified as the main contributors to downtime. Based on these results, preventive maintenance recommendations were prepared focused on these components to improve the overall reliability of the system