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Additive Manufacturing for Complex Geometries

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31 July 2024

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02 August 2024

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Abstract
Additive manufacturing (AM), commonly known as 3D printing, has revolutionized the production of complex geometries that were once challenging or impossible to achieve through traditional manufacturing techniques. This paper investigates the capabilities of additive manufacturing in producing intricate designs, focusing on the unique advantages and potential applications across various industries. Additive manufacturing enables the creation of complex geometries by adding material layer by layer, allowing for greater design freedom and the ability to produce structures with intricate internal features, complex curves, and lightweight lattice structures. This capability is particularly advantageous in fields such as aerospace, biomedical, and automotive, where weight reduction, customization, and the integration of complex internal channels are critical. The study explores various additive manufacturing technologies, including stereolithography (SLA), selective laser sintering (SLS), and fused deposition modeling (FDM), highlighting their specific strengths and limitations in producing complex geometries. Factors such as material properties, resolution, surface finish, and build size are analyzed to determine the suitability of different AM processes for specific applications. Additionally, the research delves into the design considerations and software tools that facilitate the creation of complex geometries in AM, including generative design and topology optimization. These tools leverage the design freedom offered by AM to optimize structures for weight, strength, and functionality, pushing the boundaries of what is possible in product design. The paper concludes with an examination of the challenges and future directions in the field, such as improving material properties, reducing production costs, and enhancing the accuracy and reliability of AM processes. The potential of additive manufacturing to revolutionize the production of complex geometries is underscored, emphasizing its growing importance in modern manufacturing and its role in enabling innovative solutions across various industries. This abstract provides an overview of the potential and challenges of additive manufacturing for producing complex geometries, suitable for an academic paper or report. If you need more specific information or have a different focus, feel free to ask!
Keywords: 
additive manufacturing
;  
complex geometries
;  
stereolithography (SLA)
Subject: 
Chemistry and Materials Science  -   Applied Chemistry

I. Introduction

The advent of additive manufacturing (AM), also known as 3D printing, has ushered in a new era of manufacturing possibilities. Unlike traditional subtractive manufacturing methods, which involve removing material to create an object, additive manufacturing builds objects layer by layer, adding material precisely where it is needed. This unique process offers unprecedented design freedom, allowing for the creation of complex geometries that were previously impossible or prohibitively expensive to produce.
The capability of additive manufacturing to fabricate intricate designs has profound implications across various industries. In aerospace, the production of lightweight components with complex internal structures can significantly reduce the weight of aircraft, leading to fuel savings and reduced emissions. In the biomedical field, the ability to create customized implants and prosthetics tailored to individual patients enhances the effectiveness and comfort of medical treatments. The automotive industry benefits from the rapid prototyping and production of complex parts, accelerating the development cycle and enabling more innovative designs.
This introduction sets the stage for a comprehensive investigation into the capabilities of additive manufacturing to produce complex geometries. The following sections will delve into the various AM technologies available, the specific advantages they offer for complex geometries, and the challenges associated with these processes. The study will also explore the role of advanced design software and techniques, such as generative design and topology optimization, in harnessing the full potential of additive manufacturing. Through this exploration, the paper aims to highlight the transformative impact of AM on modern manufacturing and its potential to drive future innovations.

II. Background and Fundamentals of Additive Manufacturing

Additive manufacturing (AM), often synonymous with 3D printing, represents a paradigm shift in the production of parts and components. Unlike traditional manufacturing methods, which typically involve subtracting material from a larger block (subtractive manufacturing) or molding materials (formative manufacturing), AM builds objects layer by layer, directly from digital models. This approach provides unparalleled flexibility in design and production, allowing for the creation of complex geometries and customized products.

A. Historical Development and Evolution

The origins of additive manufacturing can be traced back to the 1980s, with the development of stereolithography (SLA) by Charles Hull, who also coined the term "stereolithography." This technology used a laser to cure liquid resin into solid shapes, forming the first layer-by-layer manufacturing process. Following SLA, other technologies emerged, such as selective laser sintering (SLS) and fused deposition modeling (FDM), expanding the range of materials and applications for AM.
Over the decades, advancements in materials science, computer-aided design (CAD), and AM technologies have significantly broadened the capabilities of 3D printing. Today, AM is employed in various industries, from aerospace and automotive to healthcare and consumer goods, demonstrating its versatility and potential.

B. Core Principles of Additive Manufacturing

Layer-by-Layer Fabrication:
The foundational principle of AM is the construction of objects by adding material layer by layer. This process begins with a digital 3D model, typically created using CAD software. The model is sliced into thin cross-sectional layers, which guide the printer in building the object from the bottom up.
Digital Design Flexibility:
One of the primary advantages of AM is the ability to produce complex shapes that are difficult or impossible to achieve with traditional methods. This includes internal structures, overhangs, and intricate details. The use of digital models allows for easy modification and customization, enabling rapid prototyping and iterative design processes.
Material Versatility:
Additive manufacturing can utilize a wide range of materials, including plastics, metals, ceramics, and composites. Each material type has its own set of properties and suitable AM technologies, expanding the applications of 3D printing across different fields. For instance, metal AM processes like Direct Metal Laser Sintering (DMLS) and Electron Beam Melting (EBM) are used for producing high-strength components in aerospace and medical industries.

C. Key Additive Manufacturing Technologies

Stereolithography (SLA):
SLA uses a laser to cure liquid photopolymer resin into solid parts. This method is known for its high resolution and accuracy, making it ideal for creating detailed prototypes and complex geometries.
Selective Laser Sintering (SLS):
SLS involves the sintering of powdered materials (such as nylon or metal) using a laser. It can produce strong, durable parts with good mechanical properties, and is suitable for both prototyping and production.
Fused Deposition Modeling (FDM):
FDM extrudes thermoplastic filament through a heated nozzle to build objects layer by layer. It is widely used for its cost-effectiveness and ease of use, although it generally offers lower resolution compared to other AM methods.
Direct Metal Laser Sintering (DMLS) and Electron Beam Melting (EBM):
These technologies are used for metal 3D printing, enabling the creation of fully dense metal parts. They are particularly valuable in industries requiring high-strength components, such as aerospace and medical implants.

D. Design Considerations in Additive Manufacturing

Additive manufacturing's ability to produce complex geometries requires a different approach to design compared to traditional methods. Key considerations include:
Support Structures: Some AM processes, especially those involving overhangs or complex features, require support structures during printing, which are later removed.
Orientation and Layer Thickness: The orientation of the part during printing can affect surface finish, mechanical properties, and the need for support structures. Layer thickness impacts the resolution and strength of the final part.
Material Properties and Limitations: The choice of material affects the part's properties, including strength, flexibility, and thermal resistance. Understanding these properties is crucial for selecting the appropriate AM technology and design approach.

E. Applications and Benefits

The applications of additive manufacturing are vast and varied. In aerospace, AM is used for lightweight structural components and complex engine parts. In the medical field, it enables the production of patient-specific implants and prosthetics. The automotive industry utilizes AM for rapid prototyping and the production of custom parts. Additionally, AM is expanding into consumer products, offering customization and small-batch production.
The benefits of additive manufacturing include reduced material waste, shorter lead times, and the ability to produce complex and customized parts without the need for expensive tooling. As technology continues to evolve, the capabilities of AM are expected to expand further, opening new possibilities for innovation and efficiency in manufacturing.

III. Complex Geometries and Additive Manufacturing

The ability of additive manufacturing (AM) to produce complex geometries is one of its most compelling advantages over traditional manufacturing methods. This section explores the nature of complex geometries in the context of AM, the specific advantages AM provides in producing such geometries, and the challenges associated with them.

A. Definition and Examples of Complex Geometries

Complex geometries refer to shapes and structures that are intricate, highly detailed, and often challenging to produce using conventional manufacturing techniques. These geometries may include:
Intricate Internal Features: Structures with internal channels, cavities, and lattice structures that are difficult or impossible to machine or mold.
Organic Shapes and Curves: Designs that mimic natural forms, including smooth curves and biomimetic structures.
Topology Optimized Designs: Components optimized for weight and strength, often resulting in non-standard shapes that minimize material usage while maintaining structural integrity.
Multi-Material and Functionally Graded Structures: Parts composed of different materials or with varying material properties throughout their volume, offering tailored mechanical or thermal properties.

B. Advantages of AM in Producing Complex Geometries

Design Freedom:
Additive manufacturing does not require the use of molds, dies, or complex tooling, enabling the production of shapes that are otherwise unachievable. This freedom allows designers to focus on function and performance without being constrained by manufacturing limitations.
Reduction in Assembly and Part Count:
AM can consolidate multiple components into a single, complex part, reducing the need for assembly and the potential for mechanical failure at joints. This integration can also lead to significant weight savings, particularly important in aerospace and automotive applications.
Customization and Personalization:
The digital nature of AM enables easy customization of parts, which is valuable in medical and consumer industries. For example, custom prosthetics, dental implants, and orthotics can be produced based on individual anatomical data.
Internal Features and Channels:
AM is particularly adept at creating parts with internal geometries, such as cooling channels in turbine blades or complex fluid pathways in medical devices, which are difficult to produce with traditional methods.

C. Challenges and Limitations

Design for Additive Manufacturing (DfAM):
Designing for AM requires a different mindset compared to traditional manufacturing. Engineers and designers must understand the capabilities and limitations of the specific AM process being used, including considerations such as support structures, build orientation, and material properties.
Support Structures and Post-Processing:
Many AM processes require support structures to stabilize parts during printing, especially for overhangs and complex features. These supports must be removed after printing, which can be time-consuming and may affect surface quality. Post-processing steps such as machining, polishing, and heat treatment are often necessary to achieve the desired surface finish and mechanical properties.
Material and Process Limitations:
Not all materials are suitable for all AM processes, and the mechanical properties of printed parts can vary based on factors like layer adhesion and anisotropy. Moreover, the build size of parts is constrained by the size of the AM equipment.
Cost and Time Considerations:
While AM can reduce the need for tooling and shorten production lead times, the cost of materials and AM equipment can be high. Additionally, the layer-by-layer nature of AM can result in longer production times for large parts.

D. Applications of Complex Geometries in Various Industries

Aerospace:
The aerospace industry uses AM to produce lightweight components, such as lattice structures and optimized engine parts, which reduce weight and improve fuel efficiency.
Biomedical:
Custom implants, surgical instruments, and anatomical models benefit from AM's ability to produce patient-specific and complex organic shapes.
Automotive:
AM is used for rapid prototyping, custom parts, and components with optimized structures for weight reduction and performance.
Consumer Goods:
The customization capabilities of AM are leveraged for personalized products, including fashion accessories, jewelry, and bespoke electronic device components.
In summary, the ability of additive manufacturing to produce complex geometries offers significant advantages in design freedom, customization, and functional integration. However, successfully leveraging these benefits requires careful consideration of the unique challenges associated with AM, including design constraints, material limitations, and post-processing requirements. As technology advances, the potential for AM to revolutionize the production of complex geometries across various industries continues to grow.

IV. Case Studies and Applications

This section presents various case studies and applications of additive manufacturing (AM) for complex geometries across different industries. These examples illustrate the unique capabilities of AM and highlight its impact on innovation and efficiency.

A. Aerospace Industry

GE Aviation's Fuel Nozzles:
General Electric (GE) Aviation has successfully utilized AM to produce fuel nozzles for their LEAP engines. The fuel nozzles are made from a high-temperature alloy and feature complex internal channels that optimize fuel-air mixing. Using traditional methods, these nozzles would have been assembled from multiple parts. However, AM allowed GE to consolidate the design into a single piece, reducing the weight by 25% and increasing durability fivefold. This example demonstrates the significant benefits of AM in producing lightweight, high-performance components with complex geometries.
Airbus Bionic Partition:
Airbus employed AM to develop a bionic partition for aircraft cabins. The design, inspired by natural structures, was optimized to reduce weight while maintaining strength. The partition, made from a high-performance alloy, is 45% lighter than traditional partitions, contributing to overall fuel efficiency. This case study highlights the potential of AM to produce optimized structures with biomimetic designs that are both lightweight and strong.

B. Biomedical Industry

Customized Implants and Prosthetics:
AM has revolutionized the production of patient-specific implants and prosthetics. For example, the use of AM to create a titanium jaw implant for a patient in Belgium represents a significant advancement in medical treatment. The implant was designed to fit the patient's unique anatomy perfectly, ensuring a better fit and faster recovery. Similarly, AM is used to produce prosthetic limbs tailored to the individual's specific needs, offering improved comfort and functionality.
Cranial Implants:
AM has been instrumental in producing custom cranial implants for patients with skull defects. The ability to precisely match the implant to the patient's skull based on CT scans ensures a perfect fit and a more natural appearance. The implants are often made from biocompatible materials like titanium or PEEK (polyether ether ketone), offering both structural support and biological compatibility.

C. Automotive Industry

Bugatti's Brake Caliper:
Bugatti, the luxury car manufacturer, used AM to produce the world’s first 3D-printed titanium brake caliper. The design, which includes intricate internal cooling channels, benefits from the strength and lightweight properties of titanium. The caliper is 40% lighter than a traditional aluminum counterpart, enhancing the vehicle's performance and efficiency. This case study illustrates the use of AM in producing high-performance automotive components with complex geometries that would be difficult to achieve with conventional methods.
Ford’s Prototype Components:
Ford has leveraged AM for rapid prototyping and testing of various automotive components. This approach allows for quick iterations and design changes, significantly reducing the time and cost associated with traditional prototyping. Components such as intake manifolds, engine covers, and custom fixtures have been produced using AM, demonstrating its utility in accelerating the development cycle and testing innovative designs.

D. Consumer Goods

Nike’s Flyprint Shoes:
Nike has used AM to develop Flyprint, a 3D-printed textile upper for their running shoes. This technology allows for the precise design of shoe uppers with optimized structures for breathability, flexibility, and support. The Flyprint process enables rapid prototyping and customization, allowing athletes to have footwear tailored to their specific needs and preferences.
Eyewear Customization:
Companies like MYKITA and Materialise have utilized AM to produce customized eyewear frames. The frames are designed based on individual facial scans, ensuring a perfect fit and personalized design. This use of AM not only offers aesthetic customization but also improves comfort and wearability.

E. Art and Architecture

3D-Printed Sculptures and Art Installations:
Artists and designers have embraced AM for creating intricate sculptures and installations that push the boundaries of traditional art forms. For instance, the artist Joshua Harker’s intricate 3D-printed sculptures are known for their complex, organic forms that would be impossible to create by hand.
Architectural Models and Facades:
In architecture, AM has been used to produce scale models, intricate facade elements, and even entire structural components. The MX3D Bridge in Amsterdam, a fully functional steel bridge created using robotic 3D printing, exemplifies the potential of AM in architectural applications. The bridge features complex geometries and organic designs, showcasing the capabilities of AM in large-scale constructions.

V. Technical Considerations and Limitations

While additive manufacturing (AM) offers significant advantages, particularly in producing complex geometries, it also presents a range of technical considerations and limitations. These factors must be carefully managed to optimize the outcomes of AM processes and ensure the quality and functionality of produced parts.

A. Material Selection and Properties

Material Availability:
The choice of materials available for AM is expanding but still limited compared to traditional manufacturing. Different AM technologies support different materials, such as polymers, metals, ceramics, and composites. The specific properties of these materials, including mechanical strength, thermal resistance, and biocompatibility, determine their suitability for particular applications.
Mechanical Properties:
AM parts can exhibit anisotropic properties, meaning their mechanical strength can vary depending on the orientation of the layers. For instance, parts may have different strength and fatigue resistance along different axes, affecting their performance under load. Understanding and accounting for these properties is crucial in design and application.
Surface Finish and Accuracy:
The surface finish and dimensional accuracy of AM parts can vary significantly depending on the technology and material used. Processes like stereolithography (SLA) and selective laser sintering (SLS) can achieve fine details, but they may still require post-processing to improve surface quality. Rough surfaces can impact the functionality and aesthetics of parts, especially in applications where precise fit and finish are critical.

B. Design Considerations for Additive Manufacturing

Support Structures:
Many AM processes require support structures to stabilize overhangs and complex geometries during printing. These supports need to be carefully designed to minimize material usage and ease removal without damaging the part. The need for supports can also limit the design freedom and increase post-processing efforts.
Part Orientation:
The orientation of a part during printing affects its surface quality, mechanical properties, and build time. Designers must consider orientation to optimize these factors, balancing the trade-offs between print speed, material use, and final part quality.
Design for Additive Manufacturing (DfAM):
DfAM principles involve optimizing designs specifically for AM technologies. This includes considerations such as minimizing support structures, reducing material usage, and incorporating features like lattice structures to save weight and material. DfAM also involves exploiting AM’s unique capabilities, such as producing intricate internal channels and complex organic shapes.

C. Process Parameters and Control

Layer Thickness and Resolution:
The resolution of AM processes, defined by the layer thickness and precision of material deposition, affects the detail and accuracy of the printed part. Finer layers produce smoother surfaces and more accurate features but increase build time and cost.
Thermal Management:
AM processes, especially those involving metals, require careful thermal management to control residual stresses, warping, and potential defects like cracking. Proper temperature control and post-processing treatments, such as annealing, are essential to ensure the mechanical integrity and dimensional stability of parts.
Post-Processing:
Most AM parts require some form of post-processing, such as support removal, surface finishing, heat treatment, or machining, to achieve the desired properties and tolerances. Post-processing adds time and cost to the manufacturing process and must be factored into the overall production planning.

D. Cost and Scalability

Material and Equipment Costs:
While AM can reduce the cost associated with tooling and setup, the cost of materials and equipment can be high. High-quality metal powders, for example, are expensive, and specialized AM machines represent a significant capital investment.
Production Speed and Volume:
AM is generally slower than traditional manufacturing methods, especially for large parts or high volumes. This limits its use in mass production scenarios, where techniques like injection molding are more efficient. However, AM is well-suited for low-volume, high-complexity, or customized production runs.
Quality Control and Certification:
Ensuring consistent quality in AM-produced parts can be challenging due to variability in material properties, process parameters, and equipment performance. Establishing robust quality control measures and obtaining certifications, especially for critical applications in aerospace or medical devices, are necessary to ensure safety and reliability.

E. Environmental and Sustainability Considerations

Material Waste and Recycling:
AM can potentially reduce material waste compared to traditional subtractive methods, but waste still occurs, especially when supports are used. Additionally, not all materials used in AM are recyclable, posing challenges for sustainable production.
Energy Consumption:
The energy consumption of AM processes, particularly those involving high-power lasers or thermal processes, can be significant. Balancing the energy use with the benefits of reduced material waste and optimized designs is an important consideration for sustainable manufacturing practices.

VII. Conclusion

Additive manufacturing (AM) has emerged as a transformative technology capable of producing complex geometries that were previously unattainable with traditional manufacturing methods. The technology's unique layer-by-layer fabrication process allows for unprecedented design freedom, enabling the creation of intricate internal features, optimized structures, and customized products.
Throughout this discussion, we have explored the fundamental principles of AM, including its historical evolution, core technologies, and the diverse materials it can utilize. We have also examined the capabilities and advantages of AM in producing complex geometries, such as the reduction of part count, integration of internal features, and customization. Furthermore, we presented various case studies across industries—such as aerospace, biomedical, automotive, and consumer goods—that highlight the practical applications and benefits of AM.
However, the adoption and implementation of AM are not without challenges. Technical considerations, such as material properties, design constraints, process control, and post-processing requirements, are critical factors that must be addressed to fully leverage the potential of AM. Additionally, limitations related to cost, scalability, and environmental impact remain areas for ongoing research and development.
Looking ahead, the future of AM is promising, with advancements in materials, precision, digital technologies, and sustainable practices set to expand the technology's capabilities and applications. Innovations such as multi-material printing, nano-scale fabrication, AI integration, and bioprinting are poised to push the boundaries of what is possible, making AM a key driver of innovation across various sectors.
In conclusion, additive manufacturing represents a significant leap forward in manufacturing technology, offering new possibilities for design, customization, and efficiency. As the technology continues to evolve, it will play an increasingly important role in shaping the future of manufacturing, unlocking new opportunities for industries and consumers alike. The ongoing advancements and growing adoption of AM suggest a future where the limitations of traditional manufacturing are increasingly overcome, enabling the realization of complex, innovative, and sustainable products.

References

  1. Bhadeshia, H.K.D.H. Additive manufacturing. Materials Science and Technology 2016, 32, 615–661. [Google Scholar] [CrossRef]
  2. Jiang, J. , Xu, X., & Stringer, J. Support structures for additive manufacturing: A review. Journal of Manufacturing and Materials Processing 2018, 2, 64. [Google Scholar]
  3. Blakey-Milner, B. , Gradl, P., Snedden, G., Brooks, M., Pitot, J., Lopez, E.,... & Du Plessis, A. Metal additive manufacturing in aerospace: A review. Materials & Design 2021, 209, 110008. [Google Scholar]
  4. Milewski, J.O. , & Milewski, J.O. (2017). Additive manufacturing metal, the art of the possible (pp. 7-33). Springer International Publishing.
  5. Subramani, R. , Vijayakumar, P., Rusho, M.A., Kumar, A., Shankar, K.V., & Thirugnanasambandam, A.K. Selection and Optimization of Carbon-Reinforced Polyether Ether Ketone Process Parameters in 3D Printing—A Rotating Component Application. Polymers 2024, 16, 1443. [Google Scholar] [CrossRef]
  6. Pou, J. , Riveiro, A., & Davim, J.P. (Eds.). (2021). Additive manufacturing. Elsevier.
  7. Ford, S. , & Despeisse, M. Additive manufacturing and sustainability: An exploratory study of the advantages and challenges. Journal of cleaner Production 2016, 137, 1573–1587. [Google Scholar]
  8. Thompson, M.K. , Moroni, G., Vaneker, T., Fadel, G., Campbell, R.I., Gibson, I.,... & Martina, F. Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints. CIRP annals 2016, 65, 737–760. [Google Scholar]
  9. Armstrong, M. , Mehrabi, H., & Naveed, N. An overview of modern metal additive manufacturing technology. Journal of Manufacturing Processes 2022, 84, 1001–1029. [Google Scholar]
  10. S, R. , AhmedMustafa, M., KamilGhadir, G., MusaadAl-Tmimi, H., KhalidAlani, Z., AliRusho, M., & N, R. An analysis of polymer material selection and design optimization to improve Structural Integrity in 3D printed aerospace components. Applied Chemical Engineering 2024, 7, 1875. [Google Scholar] [CrossRef]
  11. Yang, L. , Hsu, K., Baughman, B., Godfrey, D., Medina, F., Menon, M., & Wiener, S. (2017). Additive manufacturing of metals: The technology, materials, design and production.
  12. Wohlers, T. , Gornet, T., Mostow, N., Campbell, I., Diegel, O., Kowen, J.,... & Peels, J. (2016). History of additive manufacturing.
  13. Salmi, M. Additive manufacturing processes in medical applications. Materials 2021, 14, 191. [Google Scholar] [CrossRef]
  14. Klahn, C. , Leutenecker, B., & Meboldt, M. Design strategies for the process of additive manufacturing. Procedia Cirp 2015, 36, 230–235. [Google Scholar]
  15. Ponche, R. , Kerbrat, O., Mognol, P., & Hascoet, J.Y. A novel methodology of design for Additive Manufacturing applied to Additive Laser Manufacturing process. Robotics and Computer-Integrated Manufacturing 2014, 30, 389–398. [Google Scholar]
  16. Wang, Y. , Blache, R., & Xu, X. Selection of additive manufacturing processes. Rapid prototyping journal 2017, 23, 434–447. [Google Scholar]
  17. Subramani, R. , Mustafa, N.M.A., Ghadir, N.G.K., Al-Tmimi, N.H.M., Alani, N.Z.K., Rusho, M.A., Rajeswari, N., Haridas, N.D., Rajan, N. a. J., & Kumar, N. a. P. Exploring the use of Biodegradable Polymer Materials in Sustainable 3D Printing. Applied Chemical Engineering 2024, 7, 3870. [Google Scholar] [CrossRef]
  18. Bose, S. , Ke, D., Sahasrabudhe, H., & Bandyopadhyay, A. Additive manufacturing of biomaterials. Progress in materials science 2018, 93, 45–111. [Google Scholar] [PubMed]
  19. Tofail, S.A. , Koumoulos, E.P., Bandyopadhyay, A., Bose, S., O’Donoghue, L., & Charitidis, C. Additive manufacturing: Scientific and technological challenges, market uptake and opportunities. Materials today 2018, 21, 22–37. [Google Scholar]
  20. Guo, N. , & Leu, M.C. Additive manufacturing: Technology, applications and research needs. Frontiers of mechanical engineering 2013, 8, 215–243. [Google Scholar]
  21. S, R. , AhmedMustafa, M., KamilGhadir, G., MusaadAl-Tmimi, H., KhalidAlani, Z., AliRusho, M., & N, R. An analysis of polymer material selection and design optimization to improve Structural Integrity in 3D printed aerospace components. Applied Chemical Engineering 2024, 7, 1875. [Google Scholar] [CrossRef]
  22. Pereira, T. , Kennedy, J.V., & Potgieter, J. A comparison of traditional manufacturing vs additive manufacturing, the best method for the job. Procedia Manufacturing 2019, 30, 11–18. [Google Scholar]
  23. Kim, H. , Lin, Y., & Tseng, T.L.B. A review on quality control in additive manufacturing. Rapid Prototyping Journal 2018, 24, 645–669. [Google Scholar]
  24. Rasiya, G. , Shukla, A., & Saran, K. Additive manufacturing-a review. Materials Today: Proceedings 2021, 47, 6896–6901. [Google Scholar]
  25. Huang, Y. , Leu, M.C., Mazumder, J., & Donmez, A. Additive manufacturing: Current state, future potential, gaps and needs, and recommendations. Journal of Manufacturing Science and Engineering 2015, 137, 014001. [Google Scholar]
  26. Vijayakumar, P. , Raja, S., Rusho, M.A., & Balaji, G.L. Investigations on microstructure, crystallographic texture evolution, residual stress and mechanical properties of additive manufactured nickel-based superalloy for aerospace applications: Role of industrial ageing heat treatment. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2024; 46. [Google Scholar] [CrossRef]
  27. Uriondo, A. , Esperon-Miguez, M. , & Perinpanayagam, S. The present and future of additive manufacturing in the aerospace sector: A review of important aspects. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 2015, 229, 2132–2147. [Google Scholar]
  28. Horn, T.J. , & Harrysson, O.L. Overview of current additive manufacturing technologies and selected applications. Science progress 2012, 95, 255–282. [Google Scholar]
  29. Lipton, J.I. , Cutler, M., Nigl, F., Cohen, D., & Lipson, H. Additive manufacturing for the food industry. Trends in food science & technology 2015, 43, 114–123. [Google Scholar]
  30. Francois, M.M. , Sun, A., King, W.E., Henson, N.J., Tourret, D., Bronkhorst, C.A.,... & Walton, O. Modeling of additive manufacturing processes for metals: Challenges and opportunities. Current Opinion in Solid State and Materials Science 2017, 21, 198–206. [Google Scholar]
  31. DebRoy, T. , Wei, H.L., Zuback, J.S., Mukherjee, T., Elmer, J.W., Milewski, J.O.,... & Zhang, W. Additive manufacturing of metallic components–process, structure and properties. Progress in materials science 2018, 92, 112–224. [Google Scholar]
  32. Adam, G.A. , & Zimmer, D. On design for additive manufacturing: Evaluating geometrical limitations. Rapid Prototyping Journal 2015, 21, 662–670. [Google Scholar]
  33. Costabile, G. , Fera, M., Fruggiero, F.A.B.I.O., Lambiase, A., & Pham, D. Cost models of additive manufacturing: A literature review. International Journal of Industrial Engineering Computations 2017, 8, 263–283. [Google Scholar]
  34. Strano, G. , Hao, L., Everson, R.M., & Evans, K.E. A new approach to the design and optimisation of support structures in additive manufacturing. The International Journal of Advanced Manufacturing Technology 2013, 66, 1247–1254. [Google Scholar]
  35. Sealy, M.P. , Madireddy, G., Williams, R.E., Rao, P., & Toursangsaraki, M. Hybrid processes in additive manufacturing. Journal of manufacturing Science and Engineering 2018, 140, 060801. [Google Scholar]
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