ct 22(31): e3

Research Article

Methodology to eliminate errors in machining processes through Augmented Reality Applications

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  • @ARTICLE{10.4108/eetct.v9i31.1873,
        author={Manuel MERAZ M\^{E}NDEZ and Elva Lilia REYNOSO JARDON},
        title={Methodology to eliminate errors in machining processes through Augmented Reality Applications},
        journal={EAI Endorsed Transactions on Creative Technologies},
        volume={9},
        number={31},
        publisher={EAI},
        journal_a={CT},
        year={2022},
        month={7},
        keywords={Manufacturing drawings, Augmented reality, Machining process, Errors},
        doi={10.4108/eetct.v9i31.1873}
    }
    
  • Manuel MERAZ MÉNDEZ
    Elva Lilia REYNOSO JARDON
    Year: 2022
    Methodology to eliminate errors in machining processes through Augmented Reality Applications
    CT
    EAI
    DOI: 10.4108/eetct.v9i31.1873
Manuel MERAZ MÉNDEZ1,*, Elva Lilia REYNOSO JARDON2
  • 1: Ph.D. Student at the Autonomous University of Juarez city, Chihuahua, Mexico
  • 2: Professor at the Autonomous University of Juarez city, Chihuahua, Mexico
*Contact email: mmeraz@utch.edu.mx

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.