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Journal : Asian Journal Science and Engineering

Integrated Robotic Arm Control: Inverse Kinematics, Trajectory Planning, and Performance Evaluation for Automated Welding Huda, Arif Nur; Pebrianti, Dwi; binti MD. Zain, Zainah
Asian Journal Science and Engineering Vol. 2 No. 2 (2023): Asian Journal Science and Engineering
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/ajse.v2i2.1021

Abstract

This research delves into the automated functionality of robotic arm manipulators, a hallmark of Industry 4.0, within the manufacturing sector. The study focuses on precise movement adhering to predetermined trajectories, addressing the vital aspects of inverse kinematics and trajectory planning in robotic arm control. Utilizing the Matlab robotic toolbox, the research conducts simulations of inverse kinematic and trajectory planning. An experimental setup involving a robotic arm controlled by an Arduino Mega 2560 microcontroller, embedded with the inverse kinematic algorithm and trajectory planning, is executed. Data acquisition involves inputting coordinates and orientation for automatic welding along a straight path. Joint angles are measured using rotary encoders and converted into Cartesian coordinates to determine the end-effector's position. Discrepancy analysis compares measured joint angles with simulation values, revealing error margins. Movement quality of the robotic arm is assessed through Capability Processes (CP) evaluation. Results indicate disparities between experimental and simulated values. At input coordinates (400mm, 0mm, 300mm), joint angle errors of 2.51º, 0.98º, and 1.48º are observed for joints 2, 3, and 5, respectively. Similarly, at input coordinates (300mm, 0mm, 300mm), joint angle errors of 1.17º, 1.5º, and 2.7º are registered for the same joints. Trajectory error analysis during straight welding reveals average errors of 2.25 mm and 10.57 mm along the x and y axes. Mean absolute errors for joints 2, 3, and 5 are 1.9º, 0.48º, and 1.91º. Keywords: Robotic Arm Manipulators, Inverse Kinematics, Trajectory Error Analysis
The Effect of Variations of Magnetic Fields on Fuel Channels on The Efficiency of Consumption and Exhaust Emissions In Gasoline Engines Hadi Susilo, Sugeng; Faizal, Elka; Pebrianti, Dwi
Asian Journal Science and Engineering Vol. 3 No. 2 (2024): Asian Journal Science and Engineering
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/ajse.v3i2.1690

Abstract

Research on the "Effect of Magnetic Field Variations on Fuel Channels on the Efficiency of Consumption and Exhaust Emissions on Gasoline Engines" focus on how magnetic fields with various forces can increase the efficiency of fuel consumption and reduce exhaust gas emissions in gasoline -fueled engines. In this study, the magnetic field was applied to the fuel channel with the aim of affecting the combustion process in the engine. The strength variations of the magnetic field used are expected to optimize fuel combustion, so that fuel consumption becomes more economical and exhaust emissions, such as oxygen (O₂), carbon monoxide (CO), carbon dioxide (Co₂), and hydrocarbons (HC), can minimized. The results showed that the application of magnetic fields has the potential to have a significant impact on engine efficiency, especially at certain rotation, which can create environmental benefits with cleaner gas emissions and reduce overall fuel consumption.
The effect of temperature and injection time on the injection molding process on the final weight of the mini tray product Hadi Susilo, Sugeng; Pebrianti, Dwi; Faizal, Elka
Asian Journal Science and Engineering Vol. 3 No. 1 (2024): Asian Journal Science and Engineering
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/ajse.v3i1.1762

Abstract

Injection molding is an important process in plastic manufacturing, especially for mini tray production that requires stability and severe accuracy. Temperature and injection time affect product quality, including material distribution and possible defects. This study aims to analyze the effect of these two parameters on the final weight of the product and determine optimal arrangements to achieve consistent quality. This study uses an experimental method with independent variables in the form of temperature and injection time, as well as the dependent variable in the form of product weight. Data is collected through testing with KT-105 injection molding machine and analyzed using Minitab 19 software to test the relationship between variables statistically. The results showed that the temperature and time of injection had a significant effect on the weight of the mini tray. Anova analysis proves a strong relationship between these two parameters, with a p-value value <0.05