Al-Shebeeb, O. A. R., & Harper, A., & Raihan, A. S. (2025, March), Analysis of Energy Consumption and Theoretical Assessment of Welding Efficiency in Augmented Reality Arc Welding and Digital Manufacturing  Paper presented at 2025 ASEE North Central Section  (NCS) Annual Conference, Marshall University, Huntington, West Virginia. 10.18260/1-2--54649

\bibitem{asee_peer_54649}
  Al-Shebeeb, O. A. R., \& Harper, A., \& Raihan, A. S. (2025, March), \emph{Analysis of Energy Consumption and Theoretical Assessment of Welding Efficiency in Augmented Reality Arc Welding and Digital Manufacturing}
  Paper presented at 2025 ASEE North Central Section  (NCS) Annual Conference, Marshall University, Huntington, West Virginia.
  10.18260/1-2--54649

Omar Ahmed Raheem Al-Shebeeb, Austin Harper, and Ahmed Shoyeb Raihan.  "Analysis of Energy Consumption and Theoretical Assessment of Welding Efficiency in Augmented Reality Arc Welding and Digital Manufacturing".  2025 ASEE North Central Section  (NCS) Annual Conference, Marshall University, Huntington, West Virginia, 2025, March.  ASEE Conferences, 2025.  https://peer.asee.org/54649 Internet.  12 Aug, 2025

\bibitem{asee_peer_54649}
  Omar Ahmed Raheem Al-Shebeeb, Austin Harper, and Ahmed Shoyeb Raihan.
  "Analysis of Energy Consumption and Theoretical Assessment of Welding Efficiency in Augmented Reality Arc Welding and Digital Manufacturing".
  \emph{2025 ASEE North Central Section  (NCS) Annual Conference, Marshall University, Huntington, West Virginia, 2025, March}.
  ASEE Conferences, 2025.
  https://peer.asee.org/54649 Internet.  12 Aug, 2025

@INPROCEEDINGS{asee_peer_54649
author = "Omar Ahmed Raheem Al-Shebeeb, Austin Harper, and Ahmed Shoyeb Raihan"
title = "Analysis of Energy Consumption and Theoretical Assessment of Welding Efficiency in Augmented Reality Arc Welding and Digital Manufacturing"
booktitle = "2025 ASEE North Central Section  (NCS) Annual Conference"
year = "2025"
month = "March"
address = "Marshall University, Huntington, West Virginia"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/54649}
number = {10.18260/1-2--54649}
}

TY  - CPAPER
AB  - Industrial production is about to undergo a revolution thanks to the upcoming generation of innovative manufacturing technologies. Proficiency in cutting-edge technologies such as augmented reality (AR), artificial intelligence (AI), and the Internet of Things (IoT) is essential for contemporary engineers as digitalization spreads. AR is one of these that has a lot of promises to improve industrial operations and training. In order to give students a practical education on welding and plasma cutting procedures, we utilize the Miller MobileArcTM AR Welding System in this study.  This paper’s main goal is to use a series of exercises to get students ready for smart manufacturing environments. In a safe, interactive augmented reality setting, these exercises focused on learning butt, tee, and lap joints, enabling trainees to advance their welding abilities. Students also use Fusion 360 to create plasma cutting tool paths, combining realistic simulations with CAD models. A thorough examination of material efficiency and energy consumption is made possible by the data gathered from AR welding sessions, including scores throughout performance ranges. Correlating process parameters with energy consumption, material deposition rates, and overall efficiency in creating particular components is the main objective of the theoretical evaluation. This research pursue to improve students' comprehension of smart manufacturing processes while offering insightful information about sustainable production methods by fusing computational analysis with augmented reality-based training. The results demonstrate how AR technologies may be used to maximize training results and resource efficiency in welding operations, which is in line with Industry 4.0 objectives.
AU  - Omar Ahmed Raheem Al-Shebeeb
AU  - Austin Harper
AU  - Ahmed Shoyeb Raihan
CY  - Marshall University, Huntington, West Virginia
DA  - 2025/03/28
PB  - ASEE Conferences
TI  - Analysis of Energy Consumption and Theoretical Assessment of Welding Efficiency in Augmented Reality Arc Welding and Digital Manufacturing
UR  - https://peer.asee.org/54649
DO  - 10.18260/1-2--54649
ER  -