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    Identification of Microstructures in 3-D–Printed Ti-6Al-4V Using Acoustic Emission Cepstrum

    (Received 11 September 2019; accepted 30 December 2019)

    Published Online: 31 January 2020

    CODEN: SSMSCY

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    Abstract

    Recent advances in smart hybrid machine tools allow the manufacturing of components with materials discovered on demand from certain common material precursors. Imperative to on-demand material discovery is the ability to probe and characterize the microstructure and salient properties of the materials as they are created. The article focuses on harnessing the complex spectral characteristics of high-resolution acoustic emission (AE) sensor signal generated during a nanoindentation-based scanning probe lithography process to classify the different surface microstructure types of additively manufactured Ti-6Al-4V components. We demonstrate that the low-frequency mel frequency cepstral coefficients (MFCCs) provide highly informative signatures of the AE processes to make inferences about the microstructures. We also show that unlike the well-known time-frequency features of AE, including those gathered via spectrograms, the MFCC compactly capture the variation of the energies of different frequency bands and enable classification of different microstructure types with as simple classifier as logistic regression. Via extensive nanoindentation experiments and analysis of the AE signals, we identify the specific MFCCs that are most important for discriminating between two different microstructure types of Ti-6Al-4V with accuracies estimated via extensive cross-validation close to 100 %. The proposed approach of using MFCCs offers a fast and efficient way of identifying different microstructure types of a given material system compared with conventional approaches, such as X-ray diffraction and scanning electron microscopy.

    Author Information:

    Nakkina, Tapan Ganatma
    Department of Mechanical Engineering, Indian Institute of Technology Tirupati, Tirupati, AP

    Iquebal, Ashif Sikandar
    Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX

    Gorthi, Rama Krishna Sai S.
    Department of Electrical Engineering, Indian Institute of Technology Tirupati, Tirupati, AP

    Bukkapatnam, Satish
    Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX


    Stock #: SSMS20190044

    ISSN: 2520-6478

    DOI: 10.1520/SSMS20190044

    Author Tapan Ganatma Nakkina, Ashif Sikandar Iquebal, Rama Krishna Sai S. Gorthi, Satish Bukkapatnam
    Title Identification of Microstructures in 3-D–Printed Ti-6Al-4V Using Acoustic Emission Cepstrum
    Symposium , 0000-00-00
    Committee E60