Application of QFD and FMEA methodologies for the development and improvement of an explosive ordnance disposal robot design

Authors

DOI:

https://doi.org/10.15587/1729-4061.2024.306986

Keywords:

quality function deployment, failure mode and effects analysis, explosive, robot

Abstract

In this work, the Quality Function Deployment (QFD) and Failure Mode and Effects Analysis (FMEA) methodology based on the «Design for X» concept is studied to define the design criteria of the mechanical characteristics of an EOD robot and validated with a virtual prototype of an Explosive Ordnance Disposal (EOD) robot. The objective is the application of this methodology to obtain a product that meets the quality and reliability specifications, considering the user’s needs as input data. To validate this methodology, the technicians of the UDEX (Explosive Ordnance Disposal Unit), the mechanical characteristics of the previous version JVC 0.2 developed by the research team of the National University of San Agustin (UNSA), the minimum specifications of the robots participating in the League of Rescue Robots and the application to work in real environments were taken as a case study. The results indicate that the application of the proposed methodology has significantly improved the quality and reliability of the design. To validate the effectiveness of this methodology, a virtual prototype, called JVC 0.3, was created using SolidWorks modelling software, a significant weight reduction of 27.13 % was achieved and the operating speed was increased to 1 km/h under optimal conditions. Technical analysis of the JVC 0.3 showed significant improvements in several key areas, such as increased modularity for easier assembly and maintenance, decreased overall weight, increased torque and speed, and increased stability during operation. These factors are essential for the practical application of EOD robots in real field operations carried out by specialized units such as UDEX

Supporting Agency

  • With the support of the Universidad Nacional de San Agustín de Arequipa with the following contract N◦. IBA-IB-27-2020-UNSA and UDEX-AQP

Author Biographies

Brayan Alex Apfata Limachi, Universidad Nacional de San Agustin de Arequipa

Bachelor in Mechanical Engineering

School of Mechanical Engineering

Frank Alexander Cari Mora, Universidad Nacional de San Agustin de Arequipa

Bachelor in Mechanical Engineering

School of Mechanical Engineering

Mechanical Engineering Professional School

Yuri Saúl Sivincha Quispe, Universidad Nacional de San Agustin de Arequipa

Bachelor in Mechanical Engineering

School of Mechanical Engineering

Erick Valdeiglesias Flores, Universidad Nacional de San Agustin de Arequipa

Bachelor in Mechanical Engineering

School of Mechanical Engineering

Yuri Lester Silva Vidal, Universidad Nacional de San Agustin de Arequipa

Doctor of Science with a Mention in Mechatronic Engineering

School of Mechanical Engineering

Academic Department of Mechanical-Electrical Engineering

Erasmo Sulla Espinoza, Universidad Nacional de San Agustin de Arequipa

Doctor of Science in Mechatronic Engineering

School of Electronic Engineering

Lizardo Pari, Universidad Nacional de San Agustin de Arequipa

Doctor of Automatic and Robotics

Department of Electronic Engineering

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Application of QFD and FMEA methodologies for the development and improvement of an explosive ordnance disposal robot design

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Published

2024-10-25

How to Cite

Apfata Limachi, B. A., Cari Mora, F. A., Sivincha Quispe, Y. S., Valdeiglesias Flores, E., Silva Vidal, Y. L., Sulla Espinoza, E., & Pari, L. (2024). Application of QFD and FMEA methodologies for the development and improvement of an explosive ordnance disposal robot design. Eastern-European Journal of Enterprise Technologies, 5(1 (131), 30–42. https://doi.org/10.15587/1729-4061.2024.306986

Issue

Vol. 5 No. 1 (131) (2024): Engineering technological systems

Section

Engineering technological systems

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Copyright (c) 2024 Brayan Alex Apfata Limachi, Frank Alexander Cari Mora, Yuri Saúl Sivincha Quispe, Erick Valdeiglesias Flores, Yuri Lester Silva Vidal, Erasmo Sulla Espinoza, Lizardo Pari

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