Implementasi Sistem Wireless Condition Monitoring pada Mesin CNC (Computer Numerical Control) dengan Parameter Getaran, Suhu, Arus Berbasis Internet of Things

Wirananda, Rama Wisnu (2024) Implementasi Sistem Wireless Condition Monitoring pada Mesin CNC (Computer Numerical Control) dengan Parameter Getaran, Suhu, Arus Berbasis Internet of Things. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penggunaan mesin CNC (Computer Numerical Control) menjadi elemen kunci dalam transformasi industri manufaktur untuk membentuk raw material menjadi produk akhir dengan kontrol yang sangat akurat dan repetitif berdasarkan program yang ditentukan. Masalah pada mesin CNC seperti gangguan pada komponen kinematik (bearing, overcurrent, overheat, dan keausan pada alat potong) dapat menghambat kinerja dan mengurangi kualitas produk, maka pentingnya pemeliharaan mesin menjadi hal yang harus diperhatikan. Sistem Wireless Condition Monitoring (WCM) real-time berbasis Internet of Things menjadi salah satu solusi proaktif dari masalah tersebut, dengan tujuan untuk memantau dan menganalisis kondisi mesin secara terus-menerus demi mendeteksi potensi masalah sebelum menyebabkan kerusakan serius atau downtime produksi. Arsitektur perangkat keras pada sistem ini menggunakan mikrokontroler ESP32 yang bertugas membaca data getaran melalui komponen MPU6050, data arus melalui komponen IC V9881D dan SCT013, data suhu melalui komponen termokopel tipe-K dan IC MAX6675, serta tampilan monitoring melalui OLED. Arsitektur perangkat lunak berfungsi sebagai layanan web untuk pusat pemantauan, pengaturan nilai ambang batas, dan penyimpanan data sensor. Kedua arsitektur ini dihubungkan dengan metode protokol komunikasi MQTT yang dipilih karena karakteristiknya yang dapat digunakan pada kondisi jaringan yang tidak stabil atau dengan bandwidth terbatas. Dengan kolaborasi ini, sistem yang dirancang mampu mendeteksi kondisi mesin CNC pada saat keadaan idle, warm up, running, dan failure melalui tampilan grafik pada setiap parameter yang dideteksi. Sistem juga dapat memberikan peringatan saat nilai parameter melampaui batas tertentu serta mampu mencatat waktu penggunaan dari mesin CNC. Penerapan sistem dari penelitian ini diharapkan dapat meminimalkan downtime yang tidak terkendali, mengurangi biaya perbaikan, serta memaksimalkan umur pakai mesin CNC.
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The use of CNC (Computer Numerical Control) machines is a key element in the transformation of the manufacturing industry to form raw materials into final products with highly accurate and repetitive control based on specified programs. Problems with CNC machines such as disruptions with kinematic components (bearings, overcurrent, overheat, and wear on cutting tools) can detain it’s performance and reduce product quality, therefore the importance of machine maintenance is something that must be considered. Wireless Condition Monitoring (WCM) with Internet of Things based real-time system is one of the proactive solutions to this problem, with the aim of continuously monitoring and analyzing machine conditions in order to detect potential problems before they cause serious damage or production downtime. The hardware architecture of this system uses an ESP32 microcontroller to read vibration data through the MPU6050 component, current data through the IC V9881D and SCT013 components, temperature data through the K-type thermocouple and IC MAX6675 components, and show monitoring displays via OLED. The software architecture functions as a web service for all the monitoring centers, setting threshold values, and storing sensor data. These two architectures are connected with the MQTT communication protocol method, in which chosen because of its’ characteristics that can be used in unstable network conditions or with limited bandwidth. With this collaboration, the designed system is able to detect the condition of the CNC machine whether it’s in idle, warm up, running, and failure condition through a graphic display on each detected parameter. The system can also provide warnings when parameter values exceed certain limits and is able to record the usage time of the CNC machine. The implementation of the system from this study is expected to minimize uncontrolled downtime, reduce repair costs, and maximize the service life of the CNC machine.

Item Type: Thesis (Other)
Uncontrolled Keywords: Mesin CNC, Condition Monitoring, Arus, Suhu, Getaran, IoT. CNC Machine, Temperature, Current, Vibration
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ1185 Metal-cutting--Problems, exercises, etc.
T Technology > TJ Mechanical engineering and machinery > TJ1230 Cutting and sawing machinery
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK152.A75 Electrical engineering--Safety measures
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK351 Electric measurements.
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5103.2 Wireless communication systems. Two way wireless communication
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.888 Web sites--Design. Web site development.
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105 Data Transmission Systems
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7870.23 Reliability. Failures
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7871.674 Detectors. Sensors
V Naval Science > VC Naval Maintenance > VC 270-279 Equipment of vessels, supplier,allowances,etc
Divisions: Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User: Rama Wisnu Wirananda
Date Deposited: 26 Jul 2024 08:12
Last Modified: 26 Jul 2024 08:12
URI: http://repository.its.ac.id/id/eprint/109155

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