Advancements and Challenges in Additively Manufactured Functionally Graded Materials: A Comprehensive Review
Abstract
:1. Introduction
2. Designing FGMs: Conceptual Approaches
2.1. Importance of Design in FGMs: A Materials Science Perspective
2.2. Precision in Material Distribution: A Design Approach
2.3. Voxel Modeling for Deeper Investigation in FGM Design
2.4. Specialized File Formats for FGM Design
3. Manufacturing Techniques of FGMs
3.1. Methods of Manufacturing of FGMs
3.1.1. Vapor Deposition Methods
3.1.2. Physical Vapor Deposition
3.1.3. Chemical Vapor Deposition Methods
3.2. Powder Metallurgy in Additive Manufacturing
3.3. Solid Free Form
Electron Beam Direct Manufacturing
3.4. Use of Artificial Intelligence in Manufacturing of FGMs
- AI in prefabrication of design: AI has contributed a lot of assistance to AM design. AI can be used at an early stage in the process to determine whether AM is the most cost-effective option for generating specific types of designs. Beyond this point, artificial intelligence can also be used in generative design, which encourages creativity and speeds up the design process by generating a design according to a set of requirements [53]. Employing machine learning for rendering designs for maximum effective manufacturing is possible, and AI in 3D printing design is also helpful for topology optimization [32].
- Quality check and defect prediction tool: AI can be used to enhance the fatigue performance of layered deposited specimens subjected to different cyclic loadings; an internal predictive code is developed for each technique. An analysis of all is presented, based on values obtained from an empirical determination of fatigue life, to confirm the efficacy of the ML technique [33]. It has been demonstrated that RF is the best method, yielding maximally synchronized data sets in the shortest amount of time with the lowest possible error percentage. Ref. [37] reports on how machine learning was used to make those predictions in order to improve the operational effectiveness of fatigue life prediction in the future.
- Controlled material selection according to design: AI may encourage a more proactive strategy besides the mentioned application if potential weaknesses in the AM process are discovered. This can help regulate the use of materials in real time and substantially decrease rejected material [54]. By recognizing potential weaknesses before assisting operators or technicians in correcting the problem, or by enabling the process of manufacturing make those decisions on its own thanks to machine learning, 3D printing AI can achieve this. AI systems can cut down on the number of faulty parts that would otherwise be thrown away by using this kind of real-time control [33,37].
4. Materials Used to Fabricate FGMs Parts with AM Technologies
4.1. Metal Alloys
- Titanium Alloys: Titanium and its alloys are commonly used for their high strength-to-weight ratio and excellent corrosion resistance.
- Aluminum Alloys: Aluminum-based FGMs can be tailored for specific applications, providing a combination of light weight and good mechanical properties.
- Stainless Steel Alloys: Various grades of stainless steel can be used with FGMs to achieve different levels of corrosion resistance and strength [55].
4.2. Ceramic Materials
4.3. Composite Materials
4.4. Polymer Composites
4.5. Biocompatible Materials
4.6. Functionally Graded Polymers
4.7. Advanced Materials
4.8. Nanomaterials
4.9. Metamaterials
5. Applications Using FGMs
5.1. Automotive Applications
5.2. Aerospace Applications
5.3. Biomedical Applications
6. Critical Issues and Challenges Associated with FGMs
6.1. Manufacturing Challenges
6.2. Design Challenges
6.3. Testing Challenges
- Defect Identification: Detecting defects in FGMs using traditional testing methods is often challenging due to the heterogeneous nature of these materials. Conventional techniques may not effectively reveal flaws in their structure.
- Relevance of Tests: Designing tests that accurately reflect the specific application for which the FGM is intended proves to be a difficult task. Standard testing procedures may not fully capture the material’s performance under real-world conditions.
- Multi-material Fusion Mechanisms: In the realm of AM for FGMs, comprehending and managing the fusion mechanisms of multiple materials can be intricate. Ensuring a seamless integration of different materials without compromising structural integrity poses a significant challenge.
- Material Properties: The properties of FGMs exhibit significant variations across the material gradient. Specialized techniques are required for testing and characterizing these diverse properties, including mechanical, thermal, and electrical behaviors, to capture the full spectrum.
- Structural Defects: FGMs are prone to structural defects such as pores, unmelted regions, and cracks. These defects are responsive to the parameters of the manufacturing process, emphasizing the need to understand how they form and impact the material’s overall performance.
- Thermal History: Throughout AM processes, especially those involving mixed metal powders, FGMs undergo a complex thermal history, encompassing stages like melting, molten pool flow, and crystallization under the influence of lasers. Gaining insight into and controlling this thermal history is crucial for achieving the desired material properties.
- Adaptation to Changing Material Distribution: The diverse thermodynamic properties of multi-material FGMs present challenges during testing. For example, a constant laser power may prove inadequate to melt materials with high melting points or low laser absorption rates. Consequently, dynamically adjusting testing parameters to accommodate fluctuations in material distribution becomes imperative.
6.4. Cost Factor
- Raw material costs: FGMs often necessitate high-performance materials like ceramics and metals, which can be relatively expensive.
- Manufacturing costs: The manufacturing processes for FGMs are typically intricate, requiring specialized equipment that can elevate production costs.
- Testing and quality control costs: Due to their unique composition and properties, FGMs present challenges in testing and characterization, resulting in higher quality control costs.
- Develop new manufacturing processes: Researchers are exploring more efficient and cost-effective manufacturing processes for FGMs. For instance, AM holds promise in significantly reducing the production cost of complex FGM components.
- Standardize FGM processes and testing methods: Standardizing manufacturing processes and testing methods for FGMs will streamline procedures, lower costs, and facilitate broader adoption.
- Expand the supply chain: Enlarging the supply chain for FGM materials and components will introduce more competition, fostering cost reduction.
6.5. Lack of Standardization
- ISO: The International Organization for Standardization (ISO) has instituted a technical committee on FGMs, actively developing standards for FGM terminology, classification, and characterization.
- European Committee for Standardization: The European Committee for Standardization (CEN) has created a technical committee on FGMs, focused on developing standards for FGM design, manufacturing, and testing.
7. Future Trends
7.1. Broadening Biomedical Applications
7.2. Overcoming Manufacturing and Design Challenges
7.3. Integrating of AI in FGAM
7.4. Standardization and Cost Management
7.5. Challenges and Future Research Directions
8. Conclusions
- We explored the significant impact of FGMs in modern manufacturing, focusing particularly on their application in AM.
- We traced the evolution of FGMs from high-temperature applications in space aircraft to their diverse applications in aerospace, biomedicine, materials science, and engineering.
- We examined FGMs comprehensively, covering design approaches, manufacturing techniques, and materials utilized in AM technologies.
- We emphasized the crucial role of precision in material distribution and highlighted the integration of advanced technologies, such as Artificial Intelligence, in FGM manufacturing.
- We outlined the broad range of materials, including metal alloys, ceramics, and polymers, employed in the fabrication of FGM parts.
- We explored practical applications of FGMs in aerospace, emphasizing their suitability for meeting high-temperature and low-weight requirements. We highlighted their potential in biomedical applications as well.
- We identified critical challenges in FGM adoption, including manufacturing complexity, design intricacies, testing difficulties, and the absence of standardization.
- We recognized the promising future of FGMs, anticipating their pivotal role in shaping the future of AM across various industries as the technology advances and as awareness grows.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Material | Density (g/cm3) | Young’s Modulus (GPa) | Tensile Strength (MPa) | Melting Temperature (°C) | Printing Temperature Range |
---|---|---|---|---|---|
Titanium | 4.5 | 120 | 210–1380 | 1668 | 700–1600 [70,71] |
Aluminum | 2.7 | 70 | 100–400 | 660 | 570 [72,73] |
Copper | 8.96 | 130 | 210–220 | 1085 | 225 [74] |
Stainless Steel | 7.5 | 190 | 515–625 | 1375–1450 | 831 [75,76,77] |
Niobium | 8.57 | 105 | 275–585 | 2477 | 250–600 [78] |
Material | Density (g/cm3) | Young’s Modulus (GPa) | Tensile Strength (MPa) | Melting Temperature (°C) | Printing Temperature Range |
---|---|---|---|---|---|
Al2O3 | 3.99 | 215–413 | 260 | 2072 | 175–365 [84] |
ZrO2 | 5.68 | 21 | 115 | 2715 | 1500 [85] |
AZ100 | 1.00 | 42 | 315–430 | 265 | 230 [86] |
Ceramic powders | 2–6 | - | 260–300 | 1900 | 1200 [79] |
Material | Density (g/cm3) | Young’s Modulus (GPa) | Tensile Strength (MPa) | Melting Temperature (°C) | Printing Temperature Range |
---|---|---|---|---|---|
MMC | 1.3 | 250 | 380 | 380–430 | 220–235 [95] |
PMC | - | - | 40 | - | 230–250 [96] |
Material | Density (g/cm3) | Young’s Modulus (GPa) | Tensile Strength (MPa) | Glass Transition Temperature (°C) | Melting Temperature (°C) | Printing Temperature Range |
---|---|---|---|---|---|---|
ABS | 2.28 | 43 | 200–250 | 210–250 [104] | ||
PLA | 1.21–1.25 [105] | 21–60 [106] | 45–60 [105] | 150–162 [105] | 190–230 [104] | |
PC | 1.21 [106] | 2.57 [105] | 140 [106] | 270 [106] | 260–310 [104] | |
PEEK | 1.32 [107,108] | 90–100 [107] | 143 [109] | 343 [107] | 360–420 [104] | |
PEI | 1.27 [110] | 217 [110] | 340–380 [104] | |||
Nylon | 1.15 [109] | 190–350 [109] | 240–270 [104] | |||
HIPS | 220–250 [104] | |||||
Polyester | 1.2–1.5 [111] | 40–90 [111] | ||||
Vinyl ester | 1.12–1.32 [111] | 73–81 [111] |
FGM Materials | Applications | AM Techniques | Category | References |
---|---|---|---|---|
ZrB2–SiC/ZrO2, ZrO2 and B4C | Wear resistance materials and molds (Gas lens) | SPS, Thermoplastic 3D printing (T3DP) | Solid phase process | [79,122,123] |
PEEK polymer | Orthopedic applications | The modified and developed 3D printer | Extrusion-based process | [96] |
SiC/C, ZnO TiO2/Ti–O–Si | Optoelectronics | CVD, CVI (vapor deposition methods) | Gas phase processes | [96,124] |
Ceramic powder | Ceramic components | Tape casting | Liquid phase processes | [96,125] |
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Alkunte, S.; Fidan, I.; Naikwadi, V.; Gudavasov, S.; Ali, M.A.; Mahmudov, M.; Hasanov, S.; Cheepu, M. Advancements and Challenges in Additively Manufactured Functionally Graded Materials: A Comprehensive Review. J. Manuf. Mater. Process. 2024, 8, 23. https://doi.org/10.3390/jmmp8010023
Alkunte S, Fidan I, Naikwadi V, Gudavasov S, Ali MA, Mahmudov M, Hasanov S, Cheepu M. Advancements and Challenges in Additively Manufactured Functionally Graded Materials: A Comprehensive Review. Journal of Manufacturing and Materials Processing. 2024; 8(1):23. https://doi.org/10.3390/jmmp8010023
Chicago/Turabian StyleAlkunte, Suhas, Ismail Fidan, Vivekanand Naikwadi, Shamil Gudavasov, Mohammad Alshaikh Ali, Mushfig Mahmudov, Seymur Hasanov, and Muralimohan Cheepu. 2024. "Advancements and Challenges in Additively Manufactured Functionally Graded Materials: A Comprehensive Review" Journal of Manufacturing and Materials Processing 8, no. 1: 23. https://doi.org/10.3390/jmmp8010023