Precision Analysis of Chain Wheel Geometry Reconstruction Based on Contact and Optical Measurement Data

Journal Title: Journal of Engineering Management and Systems Engineering - Year 2023, Vol 2, Issue 2

Abstract

This study focuses on the detailed reconstruction of chain wheel geometry utilizing measurement data gathered from the MarSurfXC20 contact system and the iNEXIVE VMA 2520 optical system. Supplementary data were also gathered from a digital micrometer and a caliper to provide a comprehensive data set for the analyzed geometry. The geometric model of the chain wheel was then constructed using Siemens NX software. The reconstructed model was subsequently compared with the original design specifications to assess the fidelity of the reconstructed model. Results demonstrate a high degree of correlation between the model generated by reverse engineering and the original design model. Despite the satisfactory correlation, potential inaccuracies were identified, necessitating further research to mitigate these discrepancies and optimize the procedures for parameters beyond the established tolerance. The study affirms the feasibility of utilizing contact and optical measuring systems in the reverse engineering process of chain wheel geometry, although it underscores the need for additional refinement to improve the model's accuracy.

Authors and Affiliations

Paweł Turek, Jakub Jędras

Keywords

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  • EP ID EP731806
  • DOI 10.56578/jemse020202
  • Views 62
  • Downloads 0

How To Cite

Paweł Turek, Jakub Jędras (2023). Precision Analysis of Chain Wheel Geometry Reconstruction Based on Contact and Optical Measurement Data. Journal of Engineering Management and Systems Engineering, 2(2), -. https://europub.co.uk/articles/-A-731806