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A Coordinate Measuring Machine with Error Compensation in Feature Measurement: Model Development and Experimental Verification

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Abstract

Coordinate Measuring Machines (CMMs) are widely used by industry to measure the geometrical features of parts. For a CMM to accurately measure the geometrical features of a part, a model has to be developed and added to the CMM library. This process is time-consuming and error-prone, especially in industrial manufacturing environments. The environmental noise and vibration can potentially distort sampled data and reduce measurement accuracy. This paper presents an auto-learning algorithm to reduce the time required to add a new part to a CMM library. Moreover, a cost-effective solution to reduce the effects of vibration on measurement results is presented. In the proposed solution, a reference part is utilized to automatically create a measurement model. An improved Modified Multi-Class Support Vector Machines (iMMC-SVM) algorithm is developed to determine the correct geometrical features of parts through comparison with the reference part using a laser-based CMM. Experimental measurements are conducted using a prototype CMM design by the research team to validate the proposed solution. The results indicate that the proposed method reduces vibration noise by 6.18%. Such a noise reduction significantly improves the overall measurement precision.

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Funding

This work is supported by the Ontario Centres of Excellence (OCE) research fund under grant No. 691714.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Windsor, Windsor, ON, N9B 1K3, Canada

    Fazel Mohammadi, Mahmoud Mirhashemi & Rashid Rashidzadeh

Authors
  1. Fazel Mohammadi
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  2. Mahmoud Mirhashemi
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  3. Rashid Rashidzadeh
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Contributions

Fazel Mohammadi was responsible for Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing—original draft, Writing—review and editing; Mahmood Mirhashemi was responsible for Data curation, Resources; Rashid Rashidzadeh was responsible for Funding acquisition, Supervision, Writing—original draft, Writing—review and editing.

Corresponding author

Correspondence to Fazel Mohammadi.

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The research has not been submitted to more than one journal for simultaneous consideration. The submitted work is original and has not been published elsewhere in any form or language (partially or in full). This research has not been split up into several parts to increase the quantity of submissions and submitted to various journals or to one journal over time. Results are presented clearly, honestly, and without fabrication, falsification, or inappropriate data manipulation (including image-based manipulation). No data, text, or theories by others are presented and if words have been taken from other sources, proper referencing has been given in the references section.

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The authors declare no competing interests.

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Mohammadi, F., Mirhashemi, M. & Rashidzadeh, R. A Coordinate Measuring Machine with Error Compensation in Feature Measurement: Model Development and Experimental Verification. Int J Adv Manuf Technol (2022). https://doi.org/10.1007/s00170-021-08362-y

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  • DOI: https://doi.org/10.1007/s00170-021-08362-y

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