Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : Jurnal Teknik Mesin

Development of the Dynamic Signal Analyzer Based on Labview+Arduino to Identify Structure Dynamic Characteristics Asmara Yanto; Adriyan; Anrinal; Rozi Saferi
Jurnal Teknik Mesin Vol 11 No 1 (2021): Jurnal Teknik Mesin Vol.11 No.1 April 2021
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LP2M) - ITP

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2819.112 KB) | DOI: 10.21063/jtm.2021.v11.i1.8-18

Abstract

In this work, the dynamic signal analyzer (DSA) based on Labview+Arduino has been developed. The DSA is validated to acquire and analyze vibration of two degrees of freedom (2-DOF) structure as the test rig. Vibration signal generated by bump test method to the test rig. Vibrations of the test rig are measured by using micro-electro-mechanical system (MEMS)-based accelerometers. The measured vibrations are acquired and analyzed by using the DSA. In the DSA is used fast Fourier transform (FFT) method to obtain natural frequencies of the structure and half power point (HPP) method to estimate damping ratio of structure. From the testing was conducted can be concluded that the DSA capable to determine natural frequency and damping ratio of the 2-DOF structure. If the obtained results are compared to theoretically results, there are different results about less than 10%.
An Application of Decission Tree for Modeling the Direct Kinematic Solution of 5R Planar Parallel Manipulator Adriyan Adriyan
Jurnal Teknik Mesin Vol 11 No 1 (2021): Jurnal Teknik Mesin Vol.11 No.1 April 2021
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LP2M) - ITP

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2174.739 KB) | DOI: 10.21063/jtm.2021.v11.i1.61-73

Abstract

This article addressed a machine learning approach for determining a solution model for the direct kinematic problems of parallel manipulators. A 5R planar parallel manipulator was utilized for that approach because it had the solution in the closed form. Initially, a dataset was created from an inverse kinematic solution of the manipulator for one of its assembly modes. Then, this dataset was fed as the input (the joint space) and the output (the platform space) for modeling the direct kinematic solution of the manipulator using one of the machine learning algorithms, which was the decision tree. To avoid overfitting during the training, hyperparameter tuning was employed to find the best parameters for the decision tree model, which was later called the best model. Hence, the best model can be validated by using the closed form solution. If the best model failed to model the direct kinematic solution in the validation, remodeling had to be performed and executed the same steps again. For remodeling, the training dataset consisted of all assembly modes of the manipulator. Consequently, the best model after remodeling was able to present the direct kinematic solutions for all possible input domains. Unfortunately, around 5% of solutions shown a higher deviation which had to be investigated in the future.
The Accuracy Bound for Positioning the 5R Planar Parallel Manipulator Subjected to Uncertainties in Dimensions and Actuations Adriyan Adriyan; Asmara Yanto
Jurnal Teknik Mesin Vol 12 No 1 (2022): Jurnal Teknik Mesin Vol.12 No.1 April 2022
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LP2M) - ITP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtm.2022.v12.i1.1-10

Abstract

This article is aimed to determine the accuracy bound for positioning the 5R planar parallel manipulator under the uncertainties in its dimensions and actuation. The accuracy bound is investigated numerically using the interval analysis and multi-dimensional bisection method (MDBM). These numerical methods can give multiple solutions within the workspace of the manipulator. Then, the exact solution is utilized for comparison with the numerical solutions. It is shown that the interval analysis via the interval Newton method gives the guaranteed bounds for positioning accuracy. Meanwhile, the MDBM and the exact solution coupling with the Monte Carlo simulation produce a scattered random value in a parallelogram shape inside the solution yielded by the interval Newton method. Overall, those three methods give nearly a good agreement in terms of that accuracy, but they are different at computation time.
Experimental Study of Mechatronic System On Control of Air Flow Temperature Asmara Yanto; Adriyan Adriyan; Rozi Saferi; M. Hanif Al Hafizh
Jurnal Teknik Mesin Vol 12 No 1 (2022): Jurnal Teknik Mesin Vol.12 No.1 April 2022
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LP2M) - ITP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtm.2022.v12.i1.39-46

Abstract

In this work, an experimental study of a mechatronic system on control of airflow temperature has been conducted to identify the characteristics of the system. The system is tested by several reference temperatures from the monitor panel that programmed on the computer. The measurement of the output temperature by the sensor that is expected to be the same as the reference temperature is also displayed on the same monitor panel. While the measurement of AC power consumption by an actuator in the form of a heater is carried out by measuring the AC voltage on the heater during control. This voltage is measured with a computer-based oscilloscope. Based on the test results, with the initial temperature around the room temperature and reference temperature, the system time constant can be identified. This time constant value is obtained based on the output temperature graph which is identical to the first-order system response. Thus, this experimental study succeeded in identifying the characteristics of the system in the form of a time constant and the system was identified as identical to the first order system.