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Non-Destructive Testing in Civil Engineering. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12147187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
The progressive development of civil engineering has forced scientists to improve the known methods and techniques of testing building materials, and also to search for new ones, e.g., non-destructive testing (NDT) methods [...]
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Yang T, Mazumder S, Jin Y, Squires B, Sofield M, Pantawane MV, Dahotre NB, Neogi A. A Review of Diagnostics Methodologies for Metal Additive Manufacturing Processes and Products. MATERIALS 2021; 14:ma14174929. [PMID: 34501016 PMCID: PMC8434273 DOI: 10.3390/ma14174929] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 08/26/2021] [Accepted: 08/26/2021] [Indexed: 02/02/2023]
Abstract
Additive manufacturing technologies based on metal are evolving into an essential advanced manufacturing tool for constructing prototypes and parts that can lead to complex structures, dissimilar metal-based structures that cannot be constructed using conventional metallurgical techniques. Unlike traditional manufacturing processes, the metal AM processes are unreliable due to variable process parameters and a lack of conventionally acceptable evaluation methods. A thorough understanding of various diagnostic techniques is essential to improve the quality of additively manufactured products and provide reliable feedback on the manufacturing processes for improving the quality of the products. This review summarizes and discusses various ex-situ inspections and in-situ monitoring methods, including electron-based methods, thermal methods, acoustic methods, laser breakdown, and mechanical methods, for metal additive manufacturing.
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Affiliation(s)
- Teng Yang
- Department of Materials Science and Engineering, University of North Texas, Denton, TX 76207, USA; (T.Y.); (S.M.); (M.V.P.); (N.B.D.)
- Center for Agile and Adaptive Additive Manufacturing, University of North Texas, Denton, TX 76207, USA;
| | - Sangram Mazumder
- Department of Materials Science and Engineering, University of North Texas, Denton, TX 76207, USA; (T.Y.); (S.M.); (M.V.P.); (N.B.D.)
- Center for Agile and Adaptive Additive Manufacturing, University of North Texas, Denton, TX 76207, USA;
| | - Yuqi Jin
- Center for Agile and Adaptive Additive Manufacturing, University of North Texas, Denton, TX 76207, USA;
- Department of Physics, University of North Texas, Denton, TX 76203, USA; (B.S.); (M.S.)
| | - Brian Squires
- Department of Physics, University of North Texas, Denton, TX 76203, USA; (B.S.); (M.S.)
| | - Mathew Sofield
- Department of Physics, University of North Texas, Denton, TX 76203, USA; (B.S.); (M.S.)
| | - Mangesh V. Pantawane
- Department of Materials Science and Engineering, University of North Texas, Denton, TX 76207, USA; (T.Y.); (S.M.); (M.V.P.); (N.B.D.)
- Center for Agile and Adaptive Additive Manufacturing, University of North Texas, Denton, TX 76207, USA;
| | - Narendra B. Dahotre
- Department of Materials Science and Engineering, University of North Texas, Denton, TX 76207, USA; (T.Y.); (S.M.); (M.V.P.); (N.B.D.)
- Center for Agile and Adaptive Additive Manufacturing, University of North Texas, Denton, TX 76207, USA;
| | - Arup Neogi
- Center for Agile and Adaptive Additive Manufacturing, University of North Texas, Denton, TX 76207, USA;
- Correspondence:
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