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Analysis of The Correlation Between Mechanical Engineering Research and COVID-19 Situation: Bibliometric Study Ramadhan, Doni Fajar; Saputra, Nisa Aulia; Sumirat, Uum
Teknologi dan Kejuruan: Jurnal Teknologi, Kejuruan, dan Pengajarannya Vol 45, No 2: September 2022
Publisher : Fakultas Teknik Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um031v45i22022p142-150

Abstract

The rapid spread of the coronavirus has a bad impact on many things, including education, government, the economy. This study was conducted to investigate the development of mechanical engineering research by mapping bibliometrics using the R programming language and VOSviewer. Bibliometric classifications indicate the types of publications, keywords trend, and authors of scientific papers. In this study, data collection was performed from the SCOPUS and dimensions.ai website. This website provides a dataset of scientific papers published in international peer-reviewed journals. The keyword that we used to collected the metadata "mechanical" "engineering" "COVID-19". Based on study that carried out Mechanical research has gradually increased the number of publications in the last ten years even during the COVID-19 pandemic, which indicates this topic is interesting research and continues to increase along with technological developments. Based on keyword analysis, in the era of the COVID-19 pandemic, the keyword that often appears in mechanical engineering research is "e-learning". this indicates that during the covid 19 pandemic, many researchers studied how to teach related to mechanical engineering when schools were still on lockdown. Based on Country Mapping show that USA is the country with the most publications of mechanical engineering research in the COVID-19 pandemic. Europe is the continent that publishes the most with 5 countries in the top 10 rankings of the most publishers. Based on bibliographic mapping from Scopus, the author with the most publications related to mechanical engineering in the COVID-19 pandemic is Kanetaki, Z
Evaluation Turbine Blade Design and Materials Steam Power Plant : Literature Review Ramadhan, Doni Fajar; Rusirawan, Dani
Jurnal Rekayasa Energi dan Mekanika Vol 5, No 1 (2025): JREM
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/JREM.v5i1.8

Abstract

Turbine blades are critical components in a steam power plant that directly affect the thermal efficiency and reliability of the system. This study aims to conduct a systematic review of turbine blade design and failure using a systematic literature review (SLR) approach that covers four main classifications, namely Design and Optimization, Materials and Structural Analysis, Failure Analysis and Prediction, and Aerodynamics and Steam Flow. The results of the study show that blade design optimization using numerical methods such as Computational Fluid Dynamics (CFD), genetic algorithms, and the Taguchi method can significantly reduce energy losses, such as reducing condensation losses by up to 28.5% and reducing erosion rates by up to 58%. High-strength materials, such as Waspaloy, have proven effective for high-pressure applications, while surface hardening technologies such as laser hardening and shot peening increase the hardness and fatigue resistance of the blades. In addition, failure analysis using vibration techniques and the Metal Magnetic Memory (MMM) method allows early detection of damage to prevent major failures. This study concludes that the combination of multi-objective optimization techniques, real-time monitoring, and advanced material development can improve the energy efficiency and sustainability of steam power plants.
Dimensional Consistency Analysis in High Speed 3D Printing Ramadhan, Doni Fajar; Sodiq, Fajar; Saputra, Hendri Maja; Putra, Mohammad Alexin
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.v14i1.3795

Abstract

3D printing technology has been widely applied in various industries, including manufacturing, healthcare, automotive, aerospace, and others. High 3D printing speeds, such as 1200 mm/s, offer the potential to significantly accelerate the production process. However, increasing this speed also presents challenges related to the quality and dimensional consistency of the printed parts. Therefore, understanding how each parameter interacts and affects the printing results is key to optimizing high-speed 3D printing processes. This research focuses on the dimensional accuracy of 3D printed objects. The method used involves printing 5 cube samples measuring 20mm x 20mm x20 mm with a 10 mm through all hole using Acrylonitrile Butadiene Styrene (ABS) Highspeed and  Polylactic Acid (PLA) Highspeed materials at a maximum print speed of 1200 mm/s. After the printing process, the dimensions of each sample are carefully measured using a vernier caliper at three different points.  PLA material tends to have a larger deviation than ABS, especially in the circle diameter parameter with a deviation percentage of 5.88%, while ABS is 5.02%. Based on the results overall the deviation of length, width, height, and hole diameter dimensions in both materials is not significant for general applications, but the deviation in hole diameter shows a higher value than other dimensions.