Incorporation of machine learning in additive manufacturing: a review

Raza, Ali; Deen, Kashif Mairaj; Jaafreh, Russlan; Hamad, Kotiba; Haider, Ali; Haider, Waseem

doi:10.1007/s00170-022-09916-4

Cited by 10 publications

(1 citation statement)

References 75 publications

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“…Given the complexity, few studies have developed process-structure-property relations through physicbased [115][116][117] or data-driven models. [118][119][120][121] AM has a greater capacity to make components with complicated geometries, more operational flexibility, and shorter production times than traditional processes. However, severe problems related to the mechanical properties and surface quality of AM processes also exist.…”

Section: Future Research Pathsmentioning

confidence: 99%

A Review on Vibration Characteristics of Additively Manufactured Metal Alloys

Azher,

Shah,

Bakhtari

et al. 2024

Adv Eng Mater

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The advent of additive manufacturing (AM) has dramatically shifted the manufacturing sector conceptualization, design, and creation of products. AM is poised to revolutionize goods production by establishing a new manufacturing paradigm, from reducing lead times to enabling rapid prototyping. AM can facilitate the production of complicated geometries and create functioning components with distinctive features for aerospace and automotive applications. However, defects such as pores, voids, interfaces, and inclusions can impair the quality and functionality of AM components. Vibration Analysis (VA) has become a popular tool for the dynamic qualification and testing of products and non‐destructive testing, but the literature lacks a comprehensive review of VA applied to AM. Hence, this paper summarizes recent advances in the application of VA for identifying and characterizing flaws in metal alloys, including titanium, aluminum, and nickel‐based alloys produced by AM. The review also includes studies on defects, such as porosity, cracks, and inclusions, and their effect on VA. The article concludes with a discussion of the limitations of VA for defect characterization and future research directions. Overall, VA is a promising non‐destructive testing method for quality assurance in AM and offers insights on overcoming the difficulties for further development and application of this technology.This article is protected by copyright. All rights reserved.

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