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Artificial Intelligence Assisted Residual Strength and Life Prediction of Fiber Reinforced Polymer Composites
(American Institute of Aeronautics and Astronautics (AIAA), 2023-01-19)
With the increased use of composite materials, researchers have developed many approaches for structural and prognostic health monitoring. Broadband Dielectric Spectroscopy (BbDS)/Impedance Spectroscopy (IS) is a ...
DATA DRIVEN COMPOSITES: THE CHALLENGE AND PATHS FORWARDS
(Proceedings of CAMX 2018 Conference,Dallas, TX, 2018)
**Please note that the full text is embargoed** ABSTRACT: The concept of “data driven” grew out of the general subject of data analytics, especially in the business world. The classical sequence proposed by Dykes (2010) ...
State Variable Methods of Assessment, Prognosis, and Control of Composite and Bonded Structures
(Proceedings of the American Society for Composites—Thirty-third Technical Conference, 2018)
**Please note that the full text is embargoed** ABSTRACT: It is generally recognized that the determination of material state is the baseline foundation for the assessment and prognosis of current and future performance ...
Effects of Build Parameters on the Mechanical and Di-Electrical Properties of AM parts
(Solid Freeform Fabrication 2018: Proceedings of the 29th Annual International Solid Freeform Fabrication Symposium – An Additive Manufacturing Conference, 2018)
**Please note that the full text is embargoed** ABSTRACT: Additive manufacturing (AM) revolutionized many industries, i.e., Automotive,
Biomedical, Aerospace and Defense. As opposed to traditional manufacturing methods, ...
Structural Health Monitoring of Fiber-Reinforced Composite Using Wireless Magnetostrictive Sensors
(Society of the Advancement of Material and Process Engineering (SAMPE), 2019-04-11)
**Please note that the full text is embargoed** ABSTRACT: Composite materials are extending the horizons of designers in all branches of engineering. These materials have numerous advantages and improved structural properties ...
Damage Precursor Identification in Composite Laminates using Data Driven Approach
(American Institute of Aeronautics and Astronautics (AIAA), 2019-01-07)
**Please note that the full text is embargoed** ABSTRACT: Composite materials are rapidly being used in commercial aviation and other day to day applications. The individual damage modes in composites are very well understood ...
UNSUPERVISED LEARNING METHODS FOR IDENTIFICATION OF DEFECTS IN HETEROGENEOUS MATERIALS
(Proceedings of the American Society for Composites—Thirty-fifth Technical Conference, 2020-09-17)
**Please note that the full text is embargoed** ABSTRACT: The complexity of composite materials due to the nature of their numerous laminated layers, stacking sequences, type of fibers, resin, and other external factors ...
Artificial Intelligence in Real-Time Diagnostics and Prognostics of Composite Materials and its Uncertainties – a Review
(IOP Publishing Ltd, 2021-06)
**Please note that the full text is embargoed** ABSTRACT: In the era of the 4th industrial revolution of big data, Artificial Intelligence (AI) is widely used in each and every field of composite materials which includes ...
Performance Enhancement and Prediction of Composite Materials with Embedded Electrospun Piezoelectric Sensors
(Society of the Advancement of Material and Process Engineering (SAMPE), 2020)
**Please note that the full text is embargoed** ABSTRACT: In today’s world, continuous fiber reinforced composite materials are extensively used in the aerospace, automotive and other structural industries. Since the ...
Data-Driven Discovery of Material States in Composites Under Fatigue Loads
(American Society for CompositesDEStech Publications, Inc., 2021)
**Please note that the full text is embargoed** ABSTRACT: Our community has a widespread knowledge on the damage tolerance and durability of the composites, developed over the past few decades by various experimental and ...