Methodology to eliminate errors in machining processes through Augmented Reality Applications

Authors

  • Manuel MERAZ MÉNDEZ Ph.D. Student at the Autonomous University of Juarez city, Chihuahua, Mexico
  • Elva Lilia REYNOSO JARDON Professor at the Autonomous University of Juarez city, Chihuahua, Mexico

DOI:

https://doi.org/10.4108/eetct.v9i31.1873

Keywords:

Manufacturing drawings, Augmented reality, Machining process, Errors

Abstract

Today, precision machining companies must implement new technologies to meet the requirements of the aerospace and automotive industries to maintain their competitiveness in the market and create new business opportunities. It has currently been observed that machining companies face errors in their processes that affect the quality of the products, the operation of the process, the useful life of the machines, and the tools. This research project aims to develop a methodology to reduce errors in Computerized Numerical Control machining (CNC) processes with Augmented Reality Applications (AR-Apps) that help operators interpret manufacturing drawings and assembly operations optimize Setup operations and ensure the reliability of the machining. It begins with a questionnaire applied to a sample of machining companies from Chihuahua Mexico City. To identify the factors that generate critical errors in the machining processes. The main results obtained in this paper are reduction of downtime, elimination of scrap, increment cutting tools life, optimize the machining process, increase productivity, and improved product quality. AR -apps implementation offers a low-cost alternative solution that operators and technicians can use very easily because it is a powerful tool that helps work more efficiently through virtual environments, reducing errors and optimizing the process of machining.

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Published

06-07-2022

How to Cite

1.
MERAZ MÉNDEZ M, REYNOSO JARDON EL. Methodology to eliminate errors in machining processes through Augmented Reality Applications. EAI Endorsed Trans Creat Tech [Internet]. 2022 Jul. 6 [cited 2024 Apr. 18];9(31):e3. Available from: https://publications.eai.eu/index.php/ct/article/view/1873