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Tebianian M, Aghaie S, Razavi Jafari NS, Elmi Hosseini SR, Pereira AB, Fernandes FAO, Farbakhti M, Chen C, Huo Y. A Review of the Metal Additive Manufacturing Processes. MATERIALS (BASEL, SWITZERLAND) 2023; 16:7514. [PMID: 38138655 PMCID: PMC10744938 DOI: 10.3390/ma16247514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 11/20/2023] [Accepted: 11/22/2023] [Indexed: 12/24/2023]
Abstract
Metal additive manufacturing (AM) is a layer-by-layer process that makes the direct manufacturing of various industrial parts possible. This method facilitates the design and fabrication of complex industrial, advanced, and fine parts that are used in different industry sectors, such as aerospace, medicine, turbines, and jewelry, where the utilization of other fabrication techniques is difficult or impossible. This method is advantageous in terms of dimensional accuracy and fabrication speed. However, the parts fabricated by this method may suffer from faults such as anisotropy, micro-porosity, and defective joints. Metals like titanium, aluminum, stainless steels, superalloys, etc., have been used-in the form of powder or wire-as feed materials in the additive manufacturing of various parts. The main criterion that distinguishes different additive manufacturing processes from each other is the deposition method. With regard to this criterion, AM processes can be divided into four classes: local melting, sintering, sheet forming, and electrochemical methods. Parameters affecting the properties of the additive-manufactured part and the defects associated with an AM process determine the method by which a certain part should be manufactured. This study is a survey of different additive manufacturing processes, their mechanisms, capabilities, shortcomings, and the general properties of the parts manufactured by them.
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Affiliation(s)
- Mohaddeseh Tebianian
- School of Metallurgy and Materials Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran 13114-16846, Iran
| | - Sara Aghaie
- School of Metallurgy and Materials Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran 13114-16846, Iran
| | - Nazanin Sadat Razavi Jafari
- School of Metallurgy and Materials Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran 13114-16846, Iran
| | - Seyed Reza Elmi Hosseini
- School of Metallurgy and Materials Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran 13114-16846, Iran
| | - António B. Pereira
- TEMA: Centre for Mechanical Technology and Automation, Department of Mechanical Engineering, University of Aveiro, Campus de Santiago, 3810-193 Aveiro, Portugal
| | - Fábio A. O. Fernandes
- TEMA: Centre for Mechanical Technology and Automation, Department of Mechanical Engineering, University of Aveiro, Campus de Santiago, 3810-193 Aveiro, Portugal
| | - Mojtaba Farbakhti
- School of Metallurgy and Materials Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran 13114-16846, Iran
| | - Chao Chen
- State Key Laboratory of Powder Metallurgy, Central South University, Changsha 410083, China
| | - Yuanming Huo
- School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
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Smith MAA, Khot MI, Taccola S, Fry NR, Muhonen PL, Tipper JL, Jayne DG, Kay RW, Harris RA. A digitally driven manufacturing process for high resolution patterning of cell formations. Biomed Microdevices 2023; 25:16. [PMID: 37084116 PMCID: PMC10121500 DOI: 10.1007/s10544-023-00655-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/28/2023] [Indexed: 04/22/2023]
Abstract
This paper presents the engineering and validation of an enabling technology that facilitates new capabilities in in vitro cell models for high-throughput screening and tissue engineering applications. This is conducted through a computerized system that allows the design and deposition of high-fidelity microscale patterned coatings that selectively alter the chemical and topographical properties of cell culturing surfaces. Significantly, compared to alternative methods for microscale surface patterning, this is a digitally controlled and automated process thereby allowing scientists to rapidly create and explore an almost infinite range of cell culture patterns. This new capability is experimentally validated across six different cell lines demonstrating how the precise microscale deposition of these patterned coatings can influence spatiotemporal growth and movement of endothelial, fibroblast, neuronal and macrophage cells. To further demonstrate this platform, more complex patterns are then created and shown to guide the behavioral response of colorectal carcinoma cells.
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Affiliation(s)
- Matthew A A Smith
- Faculty of Engineering and Physical Sciences, University of Leeds, Leeds, LS2 9JT, UK
| | - M Ibrahim Khot
- Faculty of Medicine and Health, University of Leeds, Leeds, LS2 9JT, UK
| | - Silvia Taccola
- Faculty of Engineering and Physical Sciences, University of Leeds, Leeds, LS2 9JT, UK
| | - Nicholas R Fry
- Faculty of Engineering and Physical Sciences, University of Leeds, Leeds, LS2 9JT, UK
| | - Pirkko L Muhonen
- Faculty of Biological Sciences, University of Leeds, Leeds, LS2 9JT, UK
| | - Joanne L Tipper
- Faculty of Engineering and Physical Sciences, University of Leeds, Leeds, LS2 9JT, UK
- School of Biomedical Engineering, University of Technology Sydney, Ultimo, NSW, 2007, Australia
| | - David G Jayne
- Faculty of Medicine and Health, University of Leeds, Leeds, LS2 9JT, UK
| | - Robert W Kay
- Faculty of Engineering and Physical Sciences, University of Leeds, Leeds, LS2 9JT, UK
| | - Russell A Harris
- Faculty of Engineering and Physical Sciences, University of Leeds, Leeds, LS2 9JT, UK.
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Taccola S, da Veiga T, Chandler JH, Cespedes O, Valdastri P, Harris RA. Micro-scale aerosol jet printing of superparamagnetic Fe 3O 4 nanoparticle patterns. Sci Rep 2022; 12:17931. [PMID: 36289308 PMCID: PMC9606284 DOI: 10.1038/s41598-022-22312-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 10/12/2022] [Indexed: 01/20/2023] Open
Abstract
The opportunity to create different patterns of magnetic nanoparticles on surfaces is highly desirable across many technological and biomedical applications. In this paper, this ability is demonstrated for the first time using a computer-controlled aerosol jet printing (AJP) technology. AJP is an emerging digitally driven, non-contact and mask-less printing process which has distinguishing advantages over other patterning technologies as it offers high-resolution and versatile direct-write deposition of a wide range of materials onto a variety of substrates. This research demonstrates the ability of AJP to reliably print large-area, fine-feature patterns of superparamagnetic iron oxide nanoparticles (SPIONs) onto both rigid material (glass) and soft and flexible materials (polydimethylsiloxane (PDMS) films and poly-L-lactic acid (PLLA) nanofilms). Investigation identified and controlled influential process variables which permitted feature sizes in the region of 20 μm to be realised. This method could be employed for a wide range of applications that require a flexible and responsive process that permits high yield and rapid patterning of magnetic material over large areas. As a first proof of concept, we present patterned magnetic nanofilms with enhanced manipulability under external magnetic field gradient control and which are capable of performing complex movements such as rotation and bending, with applicability to soft robotics and biomedical engineering applications.
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Affiliation(s)
- Silvia Taccola
- grid.9909.90000 0004 1936 8403Future Manufacturing Processes Research Group, University of Leeds, Leeds, UK
| | - Tomas da Veiga
- grid.9909.90000 0004 1936 8403STORM Lab, University of Leeds, Leeds, UK
| | - James H. Chandler
- grid.9909.90000 0004 1936 8403STORM Lab, University of Leeds, Leeds, UK
| | - Oscar Cespedes
- grid.9909.90000 0004 1936 8403School of Physics and Astronomy, University of Leeds, Leeds, UK
| | - Pietro Valdastri
- grid.9909.90000 0004 1936 8403STORM Lab, University of Leeds, Leeds, UK
| | - Russell A. Harris
- grid.9909.90000 0004 1936 8403Future Manufacturing Processes Research Group, University of Leeds, Leeds, UK
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