A technical overview of metallic parts in hybrid additive manufacturing industry

Korkmaz, Mehmet Erdi; Waqar, Saad; García-Collado, Alberto; Gupta, Munish Kumar; Królczyk, Grzegorz M.

doi:10.1016/j.jmrt.2022.02.085

Cited by 42 publications

(14 citation statements)

References 70 publications

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“…Furthermore, hybrid manufacturing has added a new dimension to the advanced manufacturing process by addressing the drawbacks of both AM and SM processes to create more near-net forms, complicated, multilateral industrial components, such as metal molds [ 200 ], aero engine impellers [ 68 ] and sensor-integrated turbine blades [ 201 ]. However, the quality, surface integrity and reliability of HM produced parts is still a concern [ 202 ].…”

Section: Critical Analysis and Challenges In Intelligent Manufacturingmentioning

confidence: 99%

Review of Intelligence for Additive and Subtractive Manufacturing: Current Status and Future Prospects

et al. 2023

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Additive manufacturing (AM), an enabler of Industry 4.0, recently opened limitless possibilities in various sectors covering personal, industrial, medical, aviation and even extra-terrestrial applications. Although significant research thrust is prevalent on this topic, a detailed review covering the impact, status, and prospects of artificial intelligence (AI) in the manufacturing sector has been ignored in the literature. Therefore, this review provides comprehensive information on smart mechanisms and systems emphasizing additive, subtractive and/or hybrid manufacturing processes in a collaborative, predictive, decisive, and intelligent environment. Relevant electronic databases were searched, and 248 articles were selected for qualitative synthesis. Our review suggests that significant improvements are required in connectivity, data sensing, and collection to enhance both subtractive and additive technologies, though the pervasive use of AI by machines and software helps to automate processes. An intelligent system is highly recommended in both conventional and non-conventional subtractive manufacturing (SM) methods to monitor and inspect the workpiece conditions for defect detection and to control the machining strategies in response to instantaneous output. Similarly, AM product quality can be improved through the online monitoring of melt pool and defect formation using suitable sensing devices followed by process control using machine learning (ML) algorithms. Challenges in implementing intelligent additive and subtractive manufacturing systems are also discussed in the article. The challenges comprise difficulty in self-optimizing CNC systems considering real-time material property and tool condition, defect detections by in-situ AM process monitoring, issues of overfitting and underfitting data in ML models and expensive and complicated set-ups in hybrid manufacturing processes.

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Section: Critical Analysis and Challenges In Intelligent Manufacturingmentioning

confidence: 99%

Review of Intelligence for Additive and Subtractive Manufacturing: Current Status and Future Prospects

et al. 2023

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“…12 presents an overview of polymeric and monomeric materials used in AM. [118,192], welding based AM techniques [40,193e199], hybrid AM techniques [200] etc. are gaining massive popularity amongst researchers and their industrial use is also growing with time.…”

Section: Am Of Polymersmentioning

confidence: 99%

A review of various materials for additive manufacturing: Recent trends and processing issues

Srivastava

Rathee²,

Patel³

et al. 2022

Journal of Materials Research and Technology

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“…As mentioned above, the biggest advantages of this method can be said as eliminating the use of effective materials and design constraints (Yan et al, 2012;Aktürk and Korkmaz, 2021;Korkmaz et al, 2022a;Korkmaz et al, 2022b). This flexibility and advantages are added to the additive manufacturing method even more popular (Yan et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

A Short and Technical Review on Lattice Structures Produced by Additive Manufacturing

Özdemir

Korkmaz

2023

Prabha Materials Science Letters

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Additive manufacturing (AM), which has only relatively recently emerged as one of the most significant sectors, is currently the subject of a great number of research investigations. In contrast to machining, additive manufacturing (AM) is a process that involves the division of items into very thin layers, followed by the production of these layers by stacking previous layers atop one another. AM has found new application areas because to the decrease in weight as well as other advantages in a variety of industries including aviation, automotive, and biomedical. In this manner, features that cannot be acquired from solid materials have been disclosed through the utilization of various forms of lattice structures in accordance with the needs of the application. The design factors that impact the compression behavior of body-centered cubic (BCC) and face-centered cubic (FCC) type lattice structures, which are the most popular types of lattice structures used in additive manufacturing, were explored in this review work.

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A technical overview of metallic parts in hybrid additive manufacturing industry

Cited by 42 publications

References 70 publications

Review of Intelligence for Additive and Subtractive Manufacturing: Current Status and Future Prospects

Review of Intelligence for Additive and Subtractive Manufacturing: Current Status and Future Prospects

A review of various materials for additive manufacturing: Recent trends and processing issues

A Short and Technical Review on Lattice Structures Produced by Additive Manufacturing

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