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All Journal Sinergi Jurnal Teknik Mesin Jurnal Infomedia JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) JTTM: Jurnal Terapan Teknik Mesin Jurnal Ilmiah Teknik Mesin Poros Jurnal Polimesin
Nur Indah
Universitas Mercu Buana
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences

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Identify damage to the mixer motor on the banbury machine using the vibration method Panca Purwanto; Subekti Subekti; Abdul Hamid; Nur Indah
JTTM : Jurnal Terapan Teknik Mesin Vol 5 No 1 (2024): JTTM: Jurnal Terapan Teknik Mesin
Publisher : Teknik Mesin - Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/jttm.v5i1.890

Abstract

The Banburyy mixer machine is a tool used to mix materials, such as raw rubber, carbon and chemicals into a homogeneous mixture. The Banburyy engine component consists of a rotor. The rotor rotates as a result of the power transmission coming from the industrial motor, the power transmission uses a gearbox. Therefore, induction motors play an important role in Banbury engines. If damage to the induction motor is not detected early, it can result in more severe damage or even unusability. Therefore, in this paper we will analyze the characteristics of bearing damage using the Fast Fourier Transform (FFT) method and the Hilbert method on mixer motors. The bearings used in the mixer motor are SKF 6330/C3 bearings in the drive end position and SKF 6324 types in the non-drive end motor position. The measurement results were then processed using the Fast Fourier Transform (FFT) and Hilbert Transform methods. The rotation speed variations carried out in the test were 500 rpm, 1000 rpm and 1500 rpm. Bearing damage analysis uses a vibration method that is obtained based on characteristic frequency values that indicate the occurrence of damage, in the form of Ball Spin Frequency (BSF) on the ball, Ball Pass Frequency Outer (BPFO) on the outer track, Fundamental Train Frequency (FTF) that occurs on the cage, and Ball Pass Frequency Inner (BPFI) on the inner track, according to bearing specifications and motor shaft rotational speed. From the analysis results, it was found that in the SKF 6330/C3 bearing an amplitude appeared at a frequency close to the FTF value of 7.031 Hz along with its harmonic frequencies, whereas in the SKF 6324 bearing no frequency of damage appeared. This indicates that the bearing in the drive end position, namely the SKF 6330/C3 bearing, is thought to have experienced damage to the cage bearing (ball bearing cage). The action taken is to replace the bearing with a new one as soon as possible
Detecting damage on engine mounts using hilbert-huang transform vibration analysis Ahmad Zaki Maulana; Subekti Subekti; Nur Indah
JTTM : Jurnal Terapan Teknik Mesin Vol 5 No 2 (2024): JTTM: Jurnal Terapan Teknik Mesin
Publisher : Teknik Mesin - Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/jttm.v5i2.1108

Abstract

Engine mounts, which are usually composed of elastomeric materials like rubber that can absorb excessive vibrations, are built to withstand vibration sources from engines. Engine mounts may eventually degrade from extended use. When rubber products age or sustain damage, they may grow harder and crack. Engine mounts need to be maintained regularly to ensure optimal performance. Visual examinations and the detection of excessive vibrations can be used to accomplish this. Vibration sensors are mounted on the engine mount in axial, vertical, and horizontal orientations using a vibration detection technique utilizing the Hilbert-Huang Transform (HHT) methodology. Matlab is used to examine the data that is gathered at three distinct rotational speeds: 750 rpm, 2000 rpm, and 3000 rpm. The HHT approach combines two key components: the Hilbert Transform, which analyzes the time-frequency signal of the first decomposition until only residuals remain, and Empirical Mode Decomposition (EMD), which breaks down the signal into Intrinsic Mode Functions (IMFs). According to test data, a damaged mount had an amplitude of 0.00005212 m/s² and a frequency of 8 Hz. On the other hand, in typical circumstances, the highest frequency was 7 Hz with the same amplitude. Five frequency increases were made in the damaged mount throughout this operation. In the damaged mount, the Hilbert Transform showed a frequency of 2124 Hz with an amplitude of 0.007594 m/s², indicating a significant resonance. This illustrates how the Hilbert-Huang Transform's capacity to handle non-stationary and nonlinear signal forms allows it to detect damage in components efficiently
Co-Authors Abdillah Fatkhurrokhman Abdul Hamid Ahmad Zaki Maulana Andi Suryadi Atthariq, Atthariq Darwin Sebayang Fajar Anggara Farezi Andriansyah Gian Villany Golwa Ibnu Arrifin Arrifin Illiyas Widantoro Hendrawan Muhammad Noor Al-Fauzan Syahputra Mus Baehaqi Panca Purwanto R. Ariosuko Saeful Bahri Subekti Subekti Sundari, Rita