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Relevant bibliographies by topics / Additive Manufacturing (AM)

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Academic literature on the topic 'Additive Manufacturing (AM)'

Author: Grafiati

Published: 4 June 2021

Last updated: 31 January 2023

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Journal articles on the topic "Additive Manufacturing (AM)"

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Costa, José, Elsa Sequeiros, Maria Teresa Vieira, and Manuel Vieira. "Additive Manufacturing." U.Porto Journal of Engineering 7, no. 3 (April 30, 2021): 53–69. http://dx.doi.org/10.24840/2183-6493_007.003_0005.

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Additive manufacturing (AM) is one of the most trending technologies nowadays, and it has the potential to become one of the most disruptive technologies for manufacturing. Academia and industry pay attention to AM because it enables a wide range of new possibilities for design freedom, complex parts production, components, mass personalization, and process improvement. The material extrusion (ME) AM technology for metallic materials is becoming relevant and equivalent to other AM techniques, like laser powder bed fusion. Although ME cannot overpass some limitations, compared with other AM technologies, it enables smaller overall costs and initial investment, more straightforward equipment parametrization, and production flexibility.This study aims to evaluate components produced by ME, or Fused Filament Fabrication (FFF), with different materials: Inconel 625, H13 SAE, and 17-4PH. The microstructure and mechanical characteristics of manufactured parts were evaluated, confirming the process effectiveness and revealing that this is an alternative for metal-based AM.

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Alabi, Micheal Omotayo, Deon De Beer, and Harry Wichers. "Applications of additive manufacturing at selected South African universities: promoting additive manufacturing education." Rapid Prototyping Journal 25, no. 4 (May 13, 2019): 752–64. http://dx.doi.org/10.1108/rpj-08-2018-0216.

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Purpose This paper aims to provide a comprehensive overview of the recent applications of additive manufacturing (AM) research and activities within selected universities in the Republic of South Africa (SA). Design/methodology/approach The paper is a general review of AM education, research and development effort within selected South African universities. The paper begins by looking at several support programmes and investments in AM technologies by the South African Department of Science and Technology (DST). The paper presents South Africa’s AM journey to date and recent global development in AM education. Next, the paper reviews the recent research activities on AM at four selected South African universities, South Africa AM roadmap and South African AM strategy. The future prospects of AM education and research are then evaluated through a SWOT analysis. Finally, the paper looks at the sustainability of AM from an education perspective. Findings The main lessons that have been learnt from South African AM research activities within selected universities are as follows: AM research activities at South African universities serve as a platform to promote AM education, and several support programmes and investments from South Africa’s DST have greatly enhanced the growth of AM across different sectors, such as medical, manufacturing, industrial design, tooling, jewellery and education. The government support has also assisted in the actualisation of the “Aeroswift” project, the world’s largest and fastest state-of-the-art AM machine that can 3D print metal parts. The AM research activities within South Africa’s universities have shown that it is not too late for developing countries to start and embrace AM technologies both in academia and industry. Based on a SWOT analysis, the future prospects of AM technology in SA are bright. Practical implications Researchers/readers from different backgrounds such as academic, industrial and governmental will be able to learn important lessons from SA’s AM journey and the success of SA’s AM researchers/practitioners. This paper will allow the major investors in AM technologies and business to see great opportunities to invest in AM education and research at all educational levels (i.e. high schools, colleges and universities) in South Africa. Originality/value The authors believe that the progress of AM education and research activities within SA’s universities show good practice and achievement over the years in both the applications of AM and the South African AM strategy introduced to promote AM research and the educational aspect of the technologies.

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P. Cooper, Khershed, and Ralph F. Wachter. "Cyber-enabled manufacturing systems for additive manufacturing." Rapid Prototyping Journal 20, no. 5 (August 12, 2014): 355–59. http://dx.doi.org/10.1108/rpj-01-2013-0001.

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Purpose – The purpose of this paper is to study cyber-enabled manufacturing systems (CeMS) for additive manufacturing (AM). The technology of AM or solid free-form fabrication has received considerable attention in recent years. Several public and private interests are exploring AM to find solutions to manufacturing problems and to create new opportunities. For AM to be commercially accepted, it must make products reliably and predictably. AM processes must achieve consistency and be reproducible. Design/methodology/approach – An approach we have taken is to foster a basic research program in CeMS for AM. The long-range goal of the program is to achieve the level of control over AM processes for industrial acceptance and wide-use of the technology. This program will develop measurement, sensing, manipulation and process control models and algorithms for AM by harnessing principles underpinning cyber-physical systems (CPS) and fundamentals of physical processes. Findings – This paper describes the challenges facing AM and the goals of the CeMS program to meet them. It also presents preliminary results of studies in thermal modeling and process models. Originality/value – The development of CeMS concepts for AM should address issues such as part quality and process dependability, which are key for successful application of this disruptive rapid manufacturing technology.

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Lidong, Lidong, and Cheryl Ann Alexander. "Additive Manufacturing and Big Data." International Journal of Mathematical, Engineering and Management Sciences 1, no. 3 (December 1, 2016): 107–21. http://dx.doi.org/10.33889/ijmems.2016.1.3-012.

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Additive manufacturing (AM) can produce parts with complex geometric shapes and reduce material use and weight. However, there are limited materials available for AM processes; the speed of production is slower compared with traditional manufacturing processes. Big Data analytics helps analyze AM processes and facilitate AM in impacting supply chains. This paper introduces advantages, applications, and technology progress of AM. Cybersecurity in AM and barriers to broad adoption of AM are discussed. Big data in AM and Big Data analytics for AM are also presented.

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Luomaranta, Toni, and Miia Martinsuo. "Additive manufacturing value chain adoption." Journal of Manufacturing Technology Management 33, no. 9 (March 17, 2022): 40–60. http://dx.doi.org/10.1108/jmtm-07-2021-0250.

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PurposeAdopting additive manufacturing (AM) on a large-scale requires an adoption in company value chains. This may happen through product innovation and require interorganizational cooperation, but the value-adding potential of cooperation and application recognition is still poorly understood. This study aims to investigate the progress of AM adoption in innovation projects featuring AM application recognition and interorganizational cooperation in the value chain.Design/methodology/approachA multiple-case study was implemented in successful metallic AM adoption examples to increase the understanding of AM adoption in value chains. Primary data were collected through interviews and documents in three AM projects, and the data were analyzed qualitatively.FindingsAll three AM projects showed evidence of successful AM value chain adoption. Identifying the right application and the added value of AM within it were crucial starting points for finding new value chains. Interorganizational collaboration facilitated both value-based designs and experimentation with new supply chains. Thereby, the focal manufacturing company did not need to invest in AM machines. The key activities of the new value chain actors are mapped in the process of AM adoption.Research limitations/implicationsThe cases are set in a business-to-business context, which narrows the transferability of the results. As a theoretical contribution, this paper introduces the concept of AM value chain adoption. The value-adding potential of AM is identified, and the required value-adding activities in collaborative innovation are reported. As a practical implication, the study reveals how companies can learn of AM and adopt AM value chains without investing in AM machines. They can instead leverage relationships with other companies that have the AM knowledge and infrastructure.Originality/valueThis paper introduces AM value chain adoption as a novel, highly interactive phase in the industry-wide adoption of metallic AM. AM value chain adoption is characterized in multi-company collaboration settings, which complements the single-company view dominant in previous research. Theory elaboration is offered through merging technology adoption with external integration from the information processing view, emphasizing the necessity of interorganizational cooperation in AM value chain adoption. Companies can benefit each other during AM adoption, starting with identifying the value-creating opportunities and applications for AM.

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Pfähler, Kathrin, Dominik Morar, and Hans-Georg Kemper. "Additive Manufacturing (AM) im Ersatzteilmanagement." Controlling 32, no. 3 (2020): 4–13. http://dx.doi.org/10.15358/0935-0381-2020-3-4.

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Ein vielversprechendes und innovatives Anwendungsgebiet der Technologie Additive Manufacturing (AM) stellt die AM-basierte Ersatzteilversorgung (AM-E) dar. Die Aufbereitung von AM-E-Erfahrungswissen ist für erfolgreiche Projekte unerlässlich. Das hier vorgestellte Konzept zur Entscheidungsunterstützung basiert auf AM-E-spezifischen Rahmenbedingungen zur Strukturierung und Nutzung von AM-E-Erfahrungswissen.

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Mumith, A., M. Thomas, Z. Shah, M. Coathup, and G. Blunn. "Additive manufacturing." Bone & Joint Journal 100-B, no. 4 (April 2018): 455–60. http://dx.doi.org/10.1302/0301-620x.100b4.bjj-2017-0662.r2.

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Increasing innovation in rapid prototyping (RP) and additive manufacturing (AM), also known as 3D printing, is bringing about major changes in translational surgical research. This review describes the current position in the use of additive manufacturing in orthopaedic surgery. Cite this article: Bone Joint J 2018;100-B:455-60.

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Vaezi, Mohammad, Philipp Drescher, and Hermann Seitz. "Beamless Metal Additive Manufacturing." Materials 13, no. 4 (February 19, 2020): 922. http://dx.doi.org/10.3390/ma13040922.

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The propensity to manufacture functional and geometrically sophisticated parts from a wide range of metals provides the metal additive manufacturing (AM) processes superior advantages over traditional methods. The field of metal AM is currently dominated by beam-based technologies such as selective laser sintering (SLM) or electron beam melting (EBM) which have some limitations such as high production cost, residual stress and anisotropic mechanical properties induced by melting of metal powders followed by rapid solidification. So, there exist a significant gap between industrial production requirements and the qualities offered by well-established beam-based AM technologies. Therefore, beamless metal AM techniques (known as non-beam metal AM) have gained increasing attention in recent years as they have been found to be able to fill the gap and bring new possibilities. There exist a number of beamless processes with distinctively various characteristics that are either under development or already available on the market. Since this is a very promising field and there is currently no high-quality review on this topic yet, this paper aims to review the key beamless processes and their latest developments.

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Morar, Dominik, Michelle Moisa, and Hans-Georg Kemper. "Additive-Manufacturing-basierte Geschäftsmodelle." Controlling 32, no. 3 (2020): 30–38. http://dx.doi.org/10.15358/0935-0381-2020-3-30.

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Additive Manufacturing (AM) ermöglicht die Vitalisierung bestehender und die Entwicklung neuer Geschäftsmodelle. In diesem Kontext stehen Unternehmen insbesondere vor der Herausforderung, AM-Potenziale zu identifizieren und wirksam in Unternehmensstrukturen umzusetzen. Das vorgestellte Planungskonzept befähigt Entscheider und Controlling zur proaktiven Steuerung relevanter Ressourcenkombinationen.

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Citarella, Roberto, and Venanzio Giannella. "Additive Manufacturing in Industry." Applied Sciences 11, no. 2 (January 18, 2021): 840. http://dx.doi.org/10.3390/app11020840.

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The advent of additive manufacturing (AM) processes applied to the fabrication of structural components has created the need for design methodologies and structural optimization approaches that take into account the specific characteristics of the fabrication process. While AM processes give unprecedented geometrical design freedom, which can result in significant reductions in the components’ weight (e.g., through part count reduction), on the other hand, they have implications for the fatigue and fracture strength, because of residual stresses and microstructural features. This is due to stress concentration effects, anisotropy, distortions and defects whose effects still need investigation. This Special Issue aims at gathering together research investigating the different features of AM processes with relevance for their structural behavior, particularly, but not exclusively, from the viewpoints of fatigue, fracture and crash behavior. Although the focus of this Special Issue is on AM, articles dealing with other manufacturing processes with related analogies can also be included, in order to establish differences and possible similarities.

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Dissertations / Theses on the topic "Additive Manufacturing (AM)"

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Melpal, Gopalakrishna Ranjan. "Conformal Lattice Structures in Additive Manufacturing (AM)." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535382325233769.

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Chandran, Ramya. "Optimization of Support Structures in Additive Manufacturing (AM) Processes." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1479819006942462.

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Paul, Ratnadeep. "Modeling and Optimization of Powder Based Additive Manufacturing (AM) Processes." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1378113813.

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Allavarapu, Santosh. "A New Additive Manufacturing (AM) File Format Using Bezier Patches." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1385114646.

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Sreedhar, Aldric, and C. L. Kaushik Gupta. "Pre-study on the use of additive manufacturing to produce low volume complex parts and its environmental sustainability." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-52800.

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With the rapid increase in demand for more high-value customized products and a more sustainable approach to manufacturing, companies are focusing on being more flexible while also trying to minimize environmental impact. As it is not possible to meet these current demands using traditional manufacturing techniques, manufacturing industries are searching for better manufacturing alternatives to address these issues in order to stay competitive. In this thesis, the two issues of manufacturing complex, low volume parts and environmental sustainability were investigated with the use of the additive manufacturing (AM) technology and possible improvements/recommendations were suggested. The conclusions drawn suggested that AM could be used to produce complex parts more efficiently and also proved to be a more sustainable alternative with decreased energy and resource consumption when compared to traditional methods.

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Ghazizadeh, Ali, and Suraj Lakshminarasimhaiah. "Additive manufacturing and its impacts on manufacturing industries in the future concerning the sustainability of AM." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-56058.

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With the emergence of modern technologies in manufacturing processes, companies need to adapt themselves to these technologies to stay competitive. Additive Manufacturing is one of the upcoming technologies which will bring major changes to the manufacturing process. AM (Additive Manufacturing) offers flexibility in design, production size, customization, etc., Even though there are numerous advantages from the implementation of AM technologies less than 2% of the manufacturing industries use them for production. The purpose of the thesis was to study the impact of AM on manufacturing industries in 5-10 years and the barriers it is facing for widespread diffusion. Additionally, its impact on Sustainability aspects is also studied. A literature review was conducted to understand the current AM processes, their applications in different manufacturing sectors, their impact on business strategies, operations, and Product Life cycle. From the study, it was concluded that AM technologies are still in their maturing state and has a lot of uncertainties that it must overcome. The most notable barriers being implementation costs, limited materials, and protection of Intellectual property. The thesis also presents the projection for AM in 2030. AM is advantageous for Environmental and Economic sustainability with very little research on Societal sustainability.

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Sauter, Barrett. "Ultra-light weight design through additive manufacturing." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-45160.

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ABB Corporate Research was looking to redevelop one product to be manufactured via polymer additive manufacturing (AM), as opposed to its previously traditionally manufacturing method. The current product is cylindrical in shape and must withstand a certain amount of hydrostatic pressure. Due to the pressure and the current design, the cannister is prone to buckling failure. The cannister is currently produced from two cylindrical tube parts and two spherical end sections produced from solid blocks of the same material. For assembly, an inner assembly is inserted into one of the tube parts and then all parts are welded together. This product is also custom dimensioned for each purchase order. The purpose of investigating this redevelopment for AM is to analyse if an updated inner design unique to additive manufacturing is able to increase the performance of the product by increasing the pressure it can withstand from both a material failure standpoint and a buckling failure. The redevelopment also aims to see if the component count and process count can be decreased. Ultimately, two product solutions are suggested, one for low pressure ranges constructed in ABS and one for high pressure ranges constructed in Ultem 1010. To accomplish this, relevant literature was referred to gain insight into how to reinforce cylindrical shell structures against buckling. Design aspects unique to AM were also explored. Iterations of these two areas were designed and analysed, which led to a final design choice being decided upon. The final design is ultimately based on the theory of strengthening cylindrical structures against buckling through the use of ring stiffeners while also incorporating AM unique design aspects in the form of hollow network structures. By utilizing finite element analysis, the design was further developed until it held the pressure required. Simulation results suggest that the ABS product can withstand 3 times higher pressure than the original design while being protected against failure due to buckling. The Ultem simulation results suggest that the product can withstand 12 times higher pressure than the current design while also being protected against failure due to buckling. Part count and manufacturing processes are also found to have decreased by half. Post-processing treatments were also explored, such as the performance of sealants under pressure and the effects of sealants on material mechanical properties. Results show that one sealant in particular, an acrylic spray, is most suitable to sealing the ABS product. It withstood a pressure of 8 bar during tests. The flexural tests showed that the sealant did indeed increase certain mechanical properties, the yield strength, however did not affect the flexural modulus significantly. This work gives a clear indication that the performance of this product is feasibly increased significantly from redeveloping it specifically to AM.

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Strong, Danielle B. "Analysis of AM Hub Locations for Hybrid Manufacturing in the United States." Youngstown State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1495202496133841.

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Johansson, Matilda, and Robin Sandberg. "How Additive Manufacturing can Support the Assembly System Design Process." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Industriell organisation och produktion, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-30887.

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In product manufacturing, assembly approximately represents 50% of the total work hours. Therefore, an efficient and fast assembly system is crucial to get competitive advantages at the global market and have the right product quality. Today, the verification of the assembly system is mostly done by utilizing software based simulation tools even though limitations have been identified. The purpose of this thesis is to identify when the use of additive manufacturing technology could be used in assessing the feasibility of the assembly system design. The research questions were threefold. First, identifying limitations that are connected with the used assembly simulation tools. Secondly, to investigate when additive manufacturing can act as a complement to these assembly simulations. Finally, to develop a framework that will assist the decision makers when to use additive manufacturing as a complement to assembly simulations. The researchers used the method of case study combined with a literature review. The case study collected data from semi-structured interviews, which formed the major portion of the empirical findings. Observations in a final assembly line and the additive manufacturing workshop provided valuable insights into the complexity of assembly systems and additive manufacturing technologies. In addition, document studies of the used visualization software at the case company resulted in an enhanced understanding of the current setting. The case study findings validate the limitations with assembly simulations described in theory. The most frequent ones are related to visibility, positioning, forces needed for the assembly operator, and accessibility between different parts. As both theory and case study findings are consistent in this respect, simulation engineers should be conscious of when to find other methods than simulation for designing the assembly system. One such alternative method is the utilization of additive manufacturing. The thesis outlines a number of situations where additive manufacturing indeed could act as a complement to assembly simulation. The authors argue that the results and findings to a large degree are applicable to other industries as the automotive sector is very global and competitive in nature and encompasses a large variety of complex assembly operations. A structured framework was also developed that could act as a decision support. The framework takes into account three dimensions that are crucial for the decision; (1) the assembly simulation limitation, (2) the context of the assembly and which parts are involved and (3) the possible limitations of additive manufacturing in the specific context. This impartial decision framework could help companies with complex assembly systems to know when to use additive manufacturing, as well as for which parts and subparts additive manufacturing is applicable. To increase the longevity of the decision framework, new improvements of assembly simulation tools and additive manufacturing technologies, respectively, should be incorporated in the framework.

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Al, Mortadi Noor. "Computer Aided Design/Aided Manufacture/Additive Manufacturing applications in the manufacture of dental appliances." Thesis, Cardiff Metropolitan University, 2014. http://hdl.handle.net/10369/6527.

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Books on the topic "Additive Manufacturing (AM)"

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Morar, Dominik. Additive Manufacturing (AM). Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-37153-1.

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Additive Manufacturing (AM) of Metallic Alloys. MDPI, 2020. http://dx.doi.org/10.3390/books978-3-03943-141-0.

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Yi, Hao, Huajun Cao, Menglin Liu, and Le Jia, eds. Additive Manufacturing (AM) for Advanced Materials and Structures. MDPI, 2023. http://dx.doi.org/10.3390/books978-3-0365-6334-3.

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Morar, Dominik. Additive Manufacturing: Entwicklung Eines Informationsversorgungskonzepts Zur Unterstützung des AM-Produktentstehungsprozesses. Springer Fachmedien Wiesbaden GmbH, 2022.

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Book chapters on the topic "Additive Manufacturing (AM)"

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Lele, Ajey. "Additive Manufacturing (AM)." In Disruptive Technologies for the Militaries and Security, 101–9. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-3384-2_5.

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Morar, Dominik. "Der AM-Produktentstehungsprozess in der Praxis – Methodik und Ergebnisse." In Additive Manufacturing (AM), 85–160. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-37153-1_3.

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Morar, Dominik. "Einführung." In Additive Manufacturing (AM), 1–22. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-37153-1_1.

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Morar, Dominik. "Die Informationsversorgung im Kontext von Additive Manufacturing." In Additive Manufacturing (AM), 23–84. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-37153-1_2.

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Morar, Dominik. "Fazit und Diskussion." In Additive Manufacturing (AM), 257–64. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-37153-1_6.

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Morar, Dominik. "Evaluation des Fachkonzepts." In Additive Manufacturing (AM), 229–56. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-37153-1_5.

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Morar, Dominik. "Entwurf eines Informationsversorgungskonzepts für den AM-Produktentstehungsprozess." In Additive Manufacturing (AM), 161–228. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-37153-1_4.

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Gibson, Ian, David Rosen, Brent Stucker, and Mahyar Khorasani. "Industrial Drivers for AM Adoption." In Additive Manufacturing Technologies, 623–47. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56127-7_21.

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Gibson, Ian, David Rosen, Brent Stucker, and Mahyar Khorasani. "Business and Societal Implications of AM." In Additive Manufacturing Technologies, 649–61. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56127-7_22.

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Gibson, Ian, David Rosen, Brent Stucker, and Mahyar Khorasani. "The Impact of Low-Cost AM Systems." In Additive Manufacturing Technologies, 367–77. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-56127-7_13.

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Conference papers on the topic "Additive Manufacturing (AM)"

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Cleary, William, Clinton Armstrong, David Huegel, and Thomas Pomorski. "Additive Manufacturing at Westinghouse." In 2021 28th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/icone28-68543.

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Abstract Additive manufacturing (AM) is an enabling technology for novel designs and complex shapes that cannot be produced using traditional manufacturing methods. For many nuclear applications, AM could help streamline manufacturing and the supply chain, and could potentially reduce production costs while achieving higher performance through improved heat transfer, thermal hydraulic (T/H) performance, material life and accident tolerance. These benefits would improve fuel reliability and operating margins. Additionally, there are a significant number of potential applications for light water reactors (LWRs) and next generation reactors. AM is also opening the potential to produce obsolete and legacy components which could enable plants to continue operations expediently as well as economically. The use of reverse engineering to digitize components lends itself to AM as this is the first step in producing a component with AM. The NRC (Nuclear Regulatory Commission) is actively engaged in the evaluation of AM as well as other Advanced Manufacturing Techniques to better regulate their usage as needed. Engagement with the NRC is important to ensure regulations are grounded in understanding these technologies. Several examples of additive manufacturing use, to improve performance and capabilities, are presented.

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Rodrigues, Marco, João Pereira, and Pedro Moreira. "I-AM: Interface for Additive Manufacturing." In 16th International Conference on Informatics in Control, Automation and Robotics. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007933406450652.

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Ben Amor, Sabrine, Floriane Zongo, Borhen Louhichi, Antoine Tahan, and Vladimir Brailovski. "Dimensional Deviation Prediction Model Based on Scale and Material Concentration Effects for LPBF Process." In 2022 International Additive Manufacturing Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/iam2022-93969.

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Abstract Additive Manufacturing (AM) processes generate parts layer-by-layer without using formative tools. The resulting advantages highlight the capability of AM to become an inherent part of product development. However, process-specific challenges such as high surface roughness, the stair-stepping effect, or dimensional deviations inhibit the establishment of AM at the industrial scale. Thus, AM parts often need to be post-processed using established manufacturing processes. Many process parameters and geometrical factors influence the dimensional accuracy in AM. Published results relating to these deviations are also difficult to compare because they are based on several geometries that are manufactured using different processes, materials, and machine settings. Laser Powder Bed Fusion (LPBF) is gaining in popularity, but one of the obstacles facing its larger industrial use is the limited knowledge of its dimensional and geometrical performances. Therefore, using it requires studying the process and improving the accuracy of the parts involved. This paper represents a new attempt to predict dimensional deviations of LPBF parts. During the project, the scale- and material concentration-related phenomena were implemented in a new image analysis model and applied to the as-built part. We carried out a comparison between the results of the proposed model with those obtained from numerical analyses and experiments. The model does not use finite element analysis, takes less time to compute, and provides reasonable prediction accuracy.

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Kianian, Babak, and Tobias C. Larsson. "Additive Manufacturing Technology Potential: A Cleaner Manufacturing Alternative." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46075.

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This paper focuses on an emerging manufacturing technology called Additive Manufacturing (AM) and its potential to become a more efficient and cleaner manufacturing alternative. This work is built around selected case companies, where the benefit of AM compared to other more traditional technologies is studied through the comparison of resource consumption. The resource consumption is defined as raw materials and energy input. The scope of this work is the application of AM in the scale model kit industry. The method used is the life cycle inventory study, which is a subtype of life cycle assessment (LCA). The result of the paper is the quantification of raw materials and energy consumption. The outcomes shows that AM has higher efficiency in terms of materials usage, as a higher proportion of materials ending up in the final product. Injection Molding (IM), on the other hand, wastes a significant proportion of raw materials in components that are not part of the final product. If the same or similar raw materials are used in both manufacturing methods, the advantage is clearly with AM. However, AM has higher energy consumption in comparison to the injection molding technique (IM). In terms of energy consumption, AM only has an advantage in this area when working with a very low production volume. The analysis of the energy consumption shows that most of the energy used in AM is to create the final product, while IM only uses a fraction of the total energy to produce the final product. AM technologies are still very new but have the potential for development and reduction of energy consumption in the future. Added to this potential is the higher materials usage efficiency of AM, which reduce the waste of materials and the energy, embedded in them. These two factors are likely to position AM as cleaner manufacturing alternative.

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Valentine, Max, Arjun Radhakrishnan, Vincent Maes, Elise Pegg, Maria Valero, James Kratz, and Vimal Dhokia. "A Feasibility Study of Additively Manufactured Composite Tooling." In 2022 International Additive Manufacturing Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/iam2022-93952.

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Abstract As the flexibility and reliability of additive manufacturing (AM) and its corresponding design tools increases, it is becoming a viable option for more industries. One application area that could benefit from AM is composite component manufacture. The layup and molding of composite materials face significant challenges presented by tight design timescales, growing demand for productivity, and the complexity of components and end products. Therefore, there is an immediate potential to save energy by reducing the mass of the curing equipment and tooling to enhance process heat transmission. The goal of this paper is to demonstrate the reduction of embodied energy within mold tools that are printed using an AM process. Using an AM approach, it is possible to design lightweight curing tools to increase the curing rate and quality of heat distribution in the mold. The viability of additively producing these cure tools was assessed by analyzing the geometrical precision of the composite mold outputs, material utilization, and heat transmission qualities of each sample. In this study, 14 cure tools were designed and manufactured with a 100 mm2 curing surface area, top plate thickness of 1–2 mm, and stiffening lattices behind the curing surface with a depth of 10 mm. Four lattice geometries, gyroid, dual-wall gyroid, planar diamond, and stochastic, were tested based on their overall geometrical accuracy and thermal responsiveness. While the stochastic lattice had the best single tool properties, the planar diamond and gyroid lattice tools had better potential for future use in the design of additively manufactured composite tooling.

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Lu, Yan, Zhuo Yang, Douglas Eddy, and Sundar Krishnamurty. "Self-Improving Additive Manufacturing Knowledge Management." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85996.

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The current additive manufacturing (AM) product development environment is far from being mature. Both software applications and workflow management tools are very limited due to the lack of knowledge supporting engineering decision making. AM knowledge includes design rules, operation guidance, and predictive models, etc., which play a critical role in the development of AM products, from the selection of a process and material, lattice and support structure design, process parameter optimization to in-situ process control, part qualification and even material development. At the same time, massive AM simulation and experimental data sets are being accumulated, stored, and processed by the AM community. This paper proposes a four-tier framework for self-improving additive manufacturing knowledge management, which defines two processes: bottom-up data-driven knowledge engineering and top-down goal-oriented active data generation. The processes are running in parallel and connected by users, therefore forming a closed loop, through which AM knowledge can evolve continuously and in an automated way.

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McNelly, Brendan P., Richard L. Hooks, William R. Setzler, and Craig S. Hughes. "Additive Manufacturing of Pressure Vessels (With Plating)." In ASME 2017 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/pvp2017-65888.

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Additive manufacturing (AM) allows for product development with light weight, fewer machining constraints, and reduced costs depending on the application. While AM is an emerging field, there is limited research on the use of AM for pressure vessels or implementation in high stress environments. Depending on the design approach and limitations of traditional material-removal fabrication techniques, AM parts can achieve high strength-to-weight ratios with reduced manufacturing efforts. Coupling AM with alternative metal and composite materials allows for unique designs that have high strength-to-weight ratios for pressure-based applications. The Johns Hopkins University Applied Physics Laboratory (JHU/APL) has conducted research on a number of these composite designs, focusing on the use of carbon fiber or metal plating with the AM materials. Before implementing AM in field tested prototypes, JHU/APL performed strength limitation tests on AM pressure vessels (PVs) in the laboratory to prove their effectiveness. PVs constructed with varying thicknesses and coating techniques were divided into three groups, each with a uniform wall thickness that provided a congruent surface area to withstand higher pressures. These PVs were then paired with one of three coating/plating technologies, forming a trade matrix of varying AM thicknesses and plating techniques. Once fabricated and plated, these test PVs were hydro-statically tested at increasing pressure levels. This pressure testing demonstrates that the use of AM to create PVs, when paired with specific plating techniques, can result in structures with significant strength capabilities at lighter than normal PV weights. Furthermore, JHU/APL has begun to test the AM PVs in a number of research projects. Such testing is desired because these unique parts can be easily manufactured in shapes and volumes that were previously unattainable through common manufacturing techniques. AM parts are now commonly used in air-frames; however, in higher pressure underwater scenarios AM’s capabilities are unproven. JHU/APL has begun to apply this new and emergent field to the effective design of AM PVs, which can play a significant role in the field of underwater vehicles and similar projects.

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Mani, Mahesh, Paul Witherell, and Haeseong Jee. "Design Rules for Additive Manufacturing: A Categorization." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-68446.

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Additive manufacturing (AM) is gaining popularity in industrial applications including new product development, functional parts, and tooling. However, due to the differences in AM technologies, processes, and process implementations, functional and geometrical characteristics of manufactured parts can vary dramatically. Planning, especially selecting the appropriate AM process and material requirements can be rather involved. Manufacturability using AM processes has been well studied; however, gaps exist in the design process when catering to the needs of manufacturability. Designers today are challenged with a lack of understanding of AM capabilities, process-related constraints, and their effects on the final product. Challenges are compounded by the ambiguity of where design for AM ends and process planning begins. These ambiguities can be addressed through design principles and corresponding design rules for additively manufacturing parts. The purpose of this paper is to categorically present relevant and reported efforts in design and process planning with design rules in AM. The overarching goal of the review is to offer insights to extract and categorize fundamental principles for derivative rules for different AM processes. Identifying such fundamental requirements could potentially lead to breakthroughs in design and process planning.

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Perez, K. Blake, Carlye A. Lauff, Bradley A. Camburn, and Kristin L. Wood. "Design Innovation With Additive Manufacturing: A Methodology." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97400.

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Abstract Additive manufacturing (AM) has matured rapidly in the past decade and has made significant progress towards a reliable and repeatable manufacturing process. The technology opens the doors for new types of innovation in engineering product development. However, there exists a need for a design process framework to efficiently and effectively explore these newly enabled design spaces. Significant work has been done to understand how to make existing products and components additively manufacturable, yet there still exists an opportunity to understand how AM can be leveraged from the very outset of the design process. Beyond end use products, AM-enabled opportunities include an enhanced design process using AM, new business models enabled by AM, and the production of new AM technologies. In this work, we propose the use, adaptation and evolution of the SUTD-MIT International Design Centre’s Design Innovation (DI) framework to assist organizations effectively explore all of these AM opportunities in an efficient and guided manner. We build on prior work that extracted and formalized design principles for AM. This paper discusses the creation and adaptation of the Design Innovation with Additive Manufacturing (DIwAM) methodology, through the combination of these principles and methods under the DI framework to better identify and realize new innovations enabled by AM. The paper concludes with a representative case study with industry that employs the DIwAM framework and the outcomes of that project. Future studies will analyze the effects that DIwAM has on designers, projects, and solutions.

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Booth, Joran W., Jeffrey Alperovich, Tahira N. Reid, and Karthik Ramani. "The Design for Additive Manufacturing Worksheet." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60407.

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Additive manufacturing (AM) technologies have become integral to the modern manufacturing process. These roles are filled both in prototyping and production. Many studies have been conducted and lists been written on guidelines for AM. While these lists are useful, virtually none are written in a way that is accessible to novice users of AM, such as Makers. Most guidelines assume the user has extensive prior knowledge of the process, apply to only a few AM technologies, or describe benefits of the technology that novices already know. In this paper, we present a short, visual design-for-additive-manufacturing worksheet for novice and intermittent users. It addresses common mistakes and problems as identified by various expert machinists and additive manufacturing facilities. The worksheet helps designers accurately assess the potential quality of a part that is to be made using an AM process by giving intuitive feedback and indirectly suggest changes to improve a design. The immediate benefit of this worksheet is that it can help to streamline designs and reduce manufacturing errors. We validated it in a high-volume 3D-printing facility (Boilermaker Lab) where users are predominantly novice or intermittent. After the worksheet was implemented in the Boilermaker Lab, both the rate of print failures and reprinted parts fell roughly 40%.

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Reports on the topic "Additive Manufacturing (AM)"

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Slattery, Kevin. Unsettled Aspects of Insourcing and Outsourcing Additive Manufacturing. SAE International, October 2021. http://dx.doi.org/10.4271/epr2021023.

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Additive manufacturing (AM), also known as “3D printing,” has transitioned from concepts and prototypes to part-for-part substitution—and now to the creation of part geometries that can only be made using AM. As a wide range of mobility OEMs begin to introduce AM parts into their products, the question between insourcing and outsourcing the manufacturing of AM parts has surfaced. Just like parts made using other technologies, AM parts can require significant post-processing operations. Therefore, as AM supply chains begin to develop, the sourcing of AM part building and their post-processing becomes an unsettled and important issue. Unsettled Aspects of Insourcing and Outsourcing Additive Manufacturing discusses the approaches and trade-offs of the different sourcing options for production hardware for multiple scenarios, including both metallic and polymer technologies and components.

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MURPH, SIMONA. MATERIAL DEVELOPMENTS FOR 3D/4D ADDITIVE MANUFACTURING (AM) TECHNOLOGIES. Office of Scientific and Technical Information (OSTI), October 2020. http://dx.doi.org/10.2172/1676417.

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SESSIONS, HENRY. MATERIAL DEVELOPMENTS FOR 3D/4D ADDITIVE MANUFACTURING (AM) TECHNOLOGIES. Office of Scientific and Technical Information (OSTI), October 2021. http://dx.doi.org/10.2172/1838344.

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Slattery, Kevin T. Unsettled Aspects of the Digital Thread in Additive Manufacturing. SAE International, November 2021. http://dx.doi.org/10.4271/epr2021026.

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In the past years, additive manufacturing (AM), also known as “3D printing,” has transitioned from rapid prototyping to making parts with potentially long service lives. Now AM provides the ability to have an almost fully digital chain from part design through manufacture and service. Web searches will reveal many statements that AM can help an organization in its pursuit of a “digital thread.” Equally, it is often stated that a digital thread may bring great benefits in improving designs, processes, materials, operations, and the ability to predict failure in a way that maximizes safety and minimizes cost and downtime. Now that the capability is emerging, a whole series of new questions begin to surface as well: •• What data should be stored, how will it be stored, and how much space will it require? •• What is the cost-to-benefit ratio of having a digital thread? •• Who owns the data and who can access and analyze it? •• How long will the data be stored and who will store it? •• How will the data remain readable and usable over the lifetime of a product? •• How much manipulation of disparate data is necessary for analysis without losing information? •• How will the data be secured, and its provenance validated? •• How does an enterprise accomplish configuration management of, and linkages between, data that may be distributed across multiple organizations? •• How do we determine what is “authoritative” in such an environment? These, along with many other questions, mark the combination of AM with a digital thread as an unsettled issue. As the seventh title in a series of SAE EDGE™ Research Reports on AM, this report discusses what the interplay between AM and a digital thread in the mobility industry would look like. This outlook includes the potential benefits and costs, the hurdles that need to be overcome for the combination to be useful, and how an organization can answer these questions to scope and benefit from the combination. This report, like the others in the series, is directed at a product team that is implementing AM. Unlike most of the other reports, putting the infrastructure in place, addressing the issues, and taking full advantage of the benefits will often fall outside of the purview of the product team and at the higher organizational, customer, and industry levels.

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Slattery, Kevin, and Kirk A. Rogers. Internal Boundaries of Metal Additive Manufacturing: Future Process Selection. SAE International, March 2022. http://dx.doi.org/10.4271/epr2022006.

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In the early days, there were significant limitations to the build size of laser powder bed fusion (L-PBF) additive manufacturing (AM) machines. However, machine builders have addressed that drawback by introducing larger L-PBF machines with expansive build volumes. As these machines grow, their size capability approaches that of directed energy deposition (DED) machines. Concurrently, DED machines have gained additional axes of motion which enable increasingly complex part geometries—resulting in near-overlap in capabilities at the large end of the L-PBF build size. Additionally, competing technologies, such as binder jet AM and metal material extrusion, have also increased in capability, albeit with different starting points. As a result, the lines of demarcation between different processes are becoming blurred. Internal Boundaries of Metal Additive Manufacturing: Future Process Selection examines the overlap between three prominent powder-based technologies and outlines an approach that a product team can follow to determine the most appropriate process for current and future applications.

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Slattery, Kevin, and Eliana Fu. Unsettled Issues in Additive Manufacturing and Improved Sustainability in the Mobility Industry. SAE International, July 2021. http://dx.doi.org/10.4271/epr2021015.

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Additive manufacturing (AM), also known as “3D printing,” is often touted as a sustainable technology, especially for metal components, since it produces either net or near-net shapes versus traditionally machined pieces from larger mill products. While traditional machining from mill products is often the case in aerospace, most of the metal parts used in the world are made from flat-rolled metal and are quite efficient in utilization. Additionally, some aspects of the AM value chain are often not accounted for when determining sustainability. Unsettled Issues in Additive Manufacturing and Improved Sustainability in the Mobility Industry uses a set of scenarios to compare the sustainability of parts made using additive and conventional technologies for both the present and future (2040) states of manufacturing.

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Elmer, J., and G. Gibbs. Wire Arc Additive Manufacturing Final Report for the Wire-Based AM Focused Exchange. Office of Scientific and Technical Information (OSTI), November 2018. http://dx.doi.org/10.2172/1809158.

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Babu, Sudarsanam Suresh, Lonnie J. Love, William H. Peter, and Ryan Dehoff. Workshop Report on Additive Manufacturing for Large-Scale Metal Components - Development and Deployment of Metal Big-Area-Additive-Manufacturing (Large-Scale Metals AM) System. Office of Scientific and Technical Information (OSTI), May 2016. http://dx.doi.org/10.2172/1325459.

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Slattery, Kevin. Unsettled Topics on the Benefit of Additive Manufacturing for Production at the Point of Use in the Mobility Industry. SAE International, February 2021. http://dx.doi.org/10.4271/epr2021006.

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An oft-cited benefit of additive manufacturing (AM), or “3D-printing,” technology is the ability to produce parts at the point of use by downloading a digital file and making the part at a local printer. This has the potential to greatly compress supply chains, lead times, inventories, and design iterations for custom parts. As a result of this, both manufacturing and logistics companies are investigating and investing in AM capacity for production at the point of use. However, it can be imagined that the feasibility and benefits are a function of size, materials, build time, manufacturing complexity, cost, and competing technologies. Because of this, there are instances where the viability of point-of-use manufacturing ranges from the perfect solution to the worst possible choice. Unsettled Topics on the Benefits of Additive Manufacturing for Production at the Point of Use in the Mobility Industry discusses the benefits, challenges, trade-offs, and other determining factors regarding this new level of AM possibilities.

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Todorov, Evgueni, Roger Spencer, Sean Gleeson, Madhi Jamshidinia, and Shawn M. Kelly. America Makes: National Additive Manufacturing Innovation Institute (NAMII) Project 1: Nondestructive Evaluation (NDE) of Complex Metallic Additive Manufactured (AM) Structures. Fort Belvoir, VA: Defense Technical Information Center, June 2014. http://dx.doi.org/10.21236/ada612775.

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