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Crack Detection in a Cantilever Composite Beam Using Fuzzy Logic System with Regression Analysis

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Recent Trends in Product Design and Intelligent Manufacturing Systems

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

Composite structures in their service life subjected to various static and dynamic loadings. Static loading leads to noticeable permanent deformation in structures. Hence, failure can be predictable earlier. On the contrary, dynamic loading develops fluctuating stresses. Fluctuating stress leads to initiation of fatigue crack in composite structures. Fatigue crack initiation and its propagation are main cause of failures. Prier detection of crack and its severity is essential to avoid catastrophic failure of structure. Available conventional damage detection methods are time taking, expensive and may require unassembled from machines. Hence, now, more emphasis is given on unconventional methods. In this work, a damage detection method is introduced through fuzzy logic system (FLS) and regression analysis (RA). Statistical process control methods are applied, and investigations made on a cantilever composite beam with a crack. A data pool has been extracted from analytical method. Then, the search space was trained by that proposed methodology to get damage location. The result of the proposed methodology found within the permissible limit.

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Authors and Affiliations

  1. School of Mechanical Engineering, KIIT, Deemed to Be University, Bhubaneswar, Odisha, 751024, India

    Monalisa Das & Sasmita Sahu

  2. Department of Mechanical Engineering, NIT Rourkela, Rourkela, Odisha, 769008, India

    Dayal R. Parhi

Authors
  1. Monalisa Das
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  2. Sasmita Sahu
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  3. Dayal R. Parhi
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Corresponding author

Correspondence to Sasmita Sahu .

Editor information

Editors and Affiliations

  1. Department of Industrial Design, National Institute of Technology Rourkel, Rourkela, India

    B.B.V.L. Deepak

  2. Department of Mechanical Engineering, National Institute of Technology, Puducherry, India

    M.V.A. Raju Bahubalendruni

  3. Head Professor (HAG),Mechanical Eng, National Institute of Technology Rourkel, Rourkela, India

    D.R.K. Parhi

  4. Mechanical Engineering, National Institute of Technology Meghala, Laitumkhrah, Shillong, India

    Bibhuti Bhusan Biswal

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Das, M., Sahu, S., Parhi, D.R. (2023). Crack Detection in a Cantilever Composite Beam Using Fuzzy Logic System with Regression Analysis. In: Deepak, B., Bahubalendruni, M.R., Parhi, D., Biswal, B.B. (eds) Recent Trends in Product Design and Intelligent Manufacturing Systems. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-19-4606-6_79

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  • DOI: https://doi.org/10.1007/978-981-19-4606-6_79

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-4605-9

  • Online ISBN: 978-981-19-4606-6

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