Reduction of distortions in large aluminium parts by controlling machining-induced residual stresses

  • A. Madariaga
  • I. Perez
  • P. J. Arrazola
  • R. Sanchez
  • J. J. Ruiz
  • F. J. Rubio


Large aluminium monolithic parts used in the aeronautic industry frequently show significant geometric distortions after the machining process. These distortions are the consequence of the initial residual stresses of the raw material as well as machining-induced residual stresses. Therefore, to minimise distortions, it is fundamental to understand the effect of the different parameters of the manufacturing process and define the optimum manufacturing strategy. This work studies the effect of initial residual stresses of aluminium plates and the residual stresses generated by the machining process on the final geometric distortions of the part. First, 7175-T7351 aluminium bars (40 mm wide × 38 mm thick × 400 mm long) were face milled at two different cutting conditions reducing the thickness to 6 mm. The distortions were measured in a coordinate measuring machine. The results revealed that the machining strategy significantly influenced the distortions, as a difference of 65% on distortions was found between the two cutting conditions. In addition, an FEM model to predict distortions was developed. This model considers initial residual stresses (measured by the contour method) and residual stresses induced by the machining process (measured by the hole drilling technique). Once the FEM model was validated, the study was extended to more complex geometries. These new studies revealed that final distortions are sensitive to machining-induced residual stresses. Furthermore, this finding indicates that it is possible to define machining conditions which generate desirable residual stress profiles to minimise part distortion.


Aerospace Machining Distortions Residual stress 


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The authors would like to thank Naieli Zabala for writing assistance.

Funding information

The authors thank the Basque and Spanish Governments for the financial support given to the projects HDAUTO (EC_2016_1_0015) and TEMPROCEN (CIEN_IDI-20141299).


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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  • A. Madariaga
    • 1
  • I. Perez
    • 1
  • P. J. Arrazola
    • 1
  • R. Sanchez
    • 2
  • J. J. Ruiz
    • 2
  • F. J. Rubio
    • 2
  1. 1.Mechanical and Industrial Production Department, Faculty of EngineeringMondragon UnibertsitateaMondragonSpain
  2. 2.Aerometallic (Aernnova Group)TarazonaSpain

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