Artificial intelligence in real-time diagnostics and prognostics of composite materials and its uncertainties—a review

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 design and analysis, material storage, manufacturing, non-destructive testing, structural health monitoring (SHM) and prognostics of its remaining useful life, material state (MS) and damage modes. While these AI models are rapidly developed and integrated into the industrial internet of things to keep track of the health of a composite material from its birth to death, these integrations remain uncertain for prognostics without the certainty of its previous MS. This article is a comprehensive review of the AI models being developed over the past few decades in the field of SHM and prognostics health management of polymer matrix composites. It further analyzes the real gaps between these developments and the nature of uncertainty of these methods. Finally, the pipeline for the real-time prognostics from birth to death, hybrid approaches, uncertainty quantification of data-driven and physics-based systems, and its reliability standards to such complex advanced composite materials are discussed. This paper will be focused as a basic guide for researchers implementing AI in composites for diagnosis, prognosis, and control.

Graphene and CNT‐Based Smart Fiber‐Reinforced Composites: A Review

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A Review of Sensing Technologies for Non-Destructive Evaluation of Structural Composite Materials

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“…Considering the increasing demand for NDE of composites to support the sustainable development plans in various application areas, for example, renewable energy development supported by composites, it is important to have an in-depth understanding of the working principle, benefits, and limitations of the state-of-the-art NDE methods. Though there have been multiple review papers published on this topic over the years [6,38], and recently also focusing on a particular sector [39] or method [40], a recent review document encompassing the general principle of popularly used NDE methods and their progress to date is identified as a research need. This review paper discusses the working principle for structural composites in general, that can be extended to specific application areas.…”

Quality Control Approach for the Detection of Internal Lower Density Areas in Composite Disks in Industrial Conditions Based on a Combination of NDT Techniques

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