scholarly journals A bibliometric analysis of research in design for additive manufacturing

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Martins Ugonna Obi ◽  
Patrick Pradel ◽  
Matt Sinclair ◽  
Richard Bibb
Keyword(s):  
Additive Manufacturing ◽  
Bibliometric Analysis ◽  
Knowledge Development ◽  
Design For Additive Manufacturing ◽  
Global Knowledge ◽  
Content Type ◽  
Subject Areas ◽  
Manufacturing Knowledge ◽  
Bibliometric Approach

Purpose The purpose of this paper is to understand how Design for Additive manufacturing Knowledge has been developing and its significance to both academia and industry. Design/methodology/approach In this paper, the authors use a bibliometric approach to analyse publications from January 2010 to December 2020 to explore the subject areas, publication outlets, most active authors, geographical distribution of scholarly outputs, collaboration and co-citations at both institutional and geographical levels and outcomes from keywords analysis. Findings The findings reveal that most knowledge has been developed in DfAM methods, rules and guidelines. This may suggest that designers are trying to learn new ways of harnessing the freedom offered by AM. Furthermore, more knowledge is needed to understand how to tackle the inherent limitations of AM processes. Moreover, DfAM knowledge has thus far been developed mostly by authors in a small number of institutional and geographical clusters, potentially limiting diverse perspectives and synergies from international collaboration which are essential for global knowledge development, for improvement of the quality of DfAM research and for its wider dissemination. Originality/value A concise structure of DfAM knowledge areas upon which the bibliometric analysis was conducted has been developed. Furthermore, areas where research is concentrated and those that require further knowledge development are revealed.

Maximizing design potential: investigating the effects of utilizing opportunistic and restrictive design for additive manufacturing in rapid response solutions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rohan Prabhu ◽  
Jordan Scott Masia ◽  
Joseph T. Berthel ◽  
Nicholas Alexander Meisel ◽  
Timothy W. Simpson
Keyword(s):  
Additive Manufacturing ◽  
Design Methodology ◽  
Linear Models ◽  
Design For Additive Manufacturing ◽  
Content Type ◽  
Manufacturing Efficiency ◽  
Material Usage ◽  
Build Time ◽  
Rapid Prototyping And Manufacturing ◽  
Design For Am

Purpose The COVID-19 pandemic has resulted in numerous innovative engineering design solutions, several of which leverage the rapid prototyping and manufacturing capabilities of additive manufacturing. This paper aims to study a subset of these solutions for their utilization of design for AM (DfAM) techniques and investigate the effects of DfAM utilization on the creativity and manufacturing efficiency of these solutions. Design/methodology/approach This study compiled 26 COVID-19-related solutions designed for AM spanning three categories: (1) face shields (N = 6), (2) face masks (N = 12) and (3) hands-free door openers (N = 8). These solutions were assessed for (1) DfAM utilization, (2) manufacturing efficiency and (3) creativity. The relationships between these assessments were then computed using generalized linear models to investigate the influence of DfAM utilization on manufacturing efficiency and creativity. Findings It is observed that (1) unique and original designs scored lower in their AM suitability, (2) solutions with higher complexity scored higher on usefulness and overall creativity and (3) solutions with higher complexity had higher build cost, build time and material usage. These findings highlight the need to account for both opportunistic and restrictive DfAM when evaluating solutions designed for AM. Balancing the two DfAM perspectives can support the development of solutions that are creative and consume fewer build resources. Originality/value DfAM evaluation tools primarily focus on AM limitations to help designers avoid build failures. This paper proposes the need to assess designs for both, their opportunistic and restrictive DfAM utilization to appropriately assess the manufacturing efficiency of designs and to realize the creative potential of adopting AM.

Design and optimization of projection stereolithography additive manufacturing system with multi-pass scanning

2021 ◽  
Vol 27 (3) ◽  
pp. 636-642
Author(s):  
Qin Qin ◽  
Jigang Huang ◽  
Jin Yao ◽  
Wenxiang Gao
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing System ◽  
Content Type ◽  
Design And Optimization ◽  
Compensation Algorithm ◽  
The Poor ◽  
Building Area ◽  
Projection Stereolithography ◽  
Stitching Errors

Purpose Scanning projection-based stereolithography (SPSL) is a powerful technology for additive manufacturing with high resolution as well as large building area. However, the surface quality of stitching boundary in an SPSL system has been rarely studied, and no positive settlement was proposed to address the poor stitching quality. This paper aims to propose an approach of multi-pass scanning and a compensation algorithm for multi-pass scanning process to address the issue of poor stitching quality in SPSL systems. Design/methodology/approach The process of multi-pass scanning is realized by scanning regions repeatedly, and the regions can be cured simultaneously because of the very short repeat exposure time and very fast scanning. Then, the poor stitching quality caused by the non-simultaneous curing can be eliminated. Also, a compensation algorithm is designed for multi-pass scanning to reduce the stitching errors. The validity of multi-pass scanning is verified by curing depth test, while the performance of multi-pass scanning as well as proposed compensation algorithm is demonstrated by comparing with that of a previous SPSL system. Findings The results lead to a conclusion that multi-pass scanning with its compensation algorithm is an effective approach to improve the stitching quality of an SPSL system. Practical implications This study can provide advice for researchers to achieve the satisfactory surface finish with SPSL technology. Originality/value The authors proposed a process of multi-pass scanning as well as a compensation algorithm for SPSL additive manufacturing (system to improve the stitching quality, which has rarely been studied in previous work.

Consideration of the Manufacturing Trajectories in a Global Design for Additive Manufacturing Methodology

2012 ◽  
Author(s):  
R. Ponche ◽  
O. Kerbrat ◽  
P. Mognol ◽  
J. Y. Hascoet
Keyword(s):  
Additive Manufacturing ◽  
Cost Reduction ◽  
Design Problem ◽  
Manufacturing Processes ◽  
Strong Impact ◽  
Direct Impact ◽  
Design For Additive Manufacturing ◽  
Physical Phenomena ◽  
Am Processes

Additive Manufacturing (AM) is a new way of part production which opens up new perspectives of conception as mass and cost reduction and increase of functionalities. However these processes have their own characteristics which as for all the manufacturing processes have a direct impact on the manufactured parts quality. Especially, because the manufacturing trajectories have a influence on the physical phenomena during the process, they have also a strong impact on the quality of the produced parts in terms of geometry. In this paper, the choice of manufacturing trajectories and their impacts on the final shape and quality of the parts is integrated into a global Design For Additive Manufacturing (DFAM) methodology which allows to move from functional specifications of a design problem to a proposition of an adapted part for AM processes.

Design for additive manufacturing: a comprehensive review of the tendencies and limitations of methodologies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Luis Lisandro Lopez Taborda ◽  
Heriberto Maury ◽  
Jovanny Pacheco
Keyword(s):  
Additive Manufacturing ◽  
Design Methodology ◽  
Functional Performance ◽  
Cost Evaluation ◽  
Product Management ◽  
Design For Additive Manufacturing ◽  
Content Type ◽  
Starting Point ◽  
The Subject ◽  
Future Work

Purpose There are many investigations in design methodologies, but there are also divergences and convergences as there are so many points of view. This study aims to evaluate to corroborate and deepen other researchers’ findings, dissipate divergences and provide directing to future work on the subject from a methodological and convergent perspective. Design/methodology/approach This study analyzes the previous reviews (about 15 reviews) and based on the consensus and the classifications provided by these authors, a significant sample of research is analyzed in the design for additive manufacturing (DFAM) theme (approximately 80 articles until June of 2017 and approximately 280–300 articles until February of 2019) through descriptive statistics, to corroborate and deepen the findings of other researchers. Findings Throughout this work, this paper found statistics indicating that the main areas studied are: multiple objective optimizations, execution of the design, general DFAM and DFAM for functional performance. Among the main conclusions: there is a lack of innovation in the products developed with the methodologies, there is a lack of exhaustivity in the methodologies, there are few efforts to include environmental aspects in the methodologies, many of the methods include economic and cost evaluation, but are not very explicit and broad (sustainability evaluation), it is necessary to consider a greater variety of functions, among other conclusions Originality/value The novelty in this study is the methodology. It is very objective, comprehensive and quantitative. The starting point is not the case studies nor the qualitative criteria, but the figures and quantities of methodologies. The main contribution of this review article is to guide future work on the subject from a methodological and convergent perspective and this article provides a broad database with articles containing information on many issues to make decisions: design methodology; optimization; processes, selection of parts and materials; cost and product management; mechanical, electrical and thermal properties; health and environmental impact, etc.

Additive manufacturing technology in dental education

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sven Maricic ◽  
Daniela  Kovacevic Pavicic ◽  
Barbara Ptacnik ◽  
Romina Prziklas Druzeta
Keyword(s):  
Additive Manufacturing ◽  
New Technologies ◽  
Dental Education ◽  
Dental Students ◽  
Additive Technologies ◽  
Additive Technology ◽  
Educational Model ◽  
Content Type ◽  
Computer Aided

Purpose This study aims to develop a specialized and economically feasible educational model using a combination of conventional approach and additive technology with a precision that proves to be sufficient for educational use. With the use of computer-aided design/computer-aided manufacturing models in educational stages, the possibility of infectious diseases transmission can be significantly reduced. Design/methodology/approach The proposed process involves the planning and development of specialized anatomical three-dimensional (3D) models and associated structures using omnipresent additive technologies. A short survey was conducted among dental students about their knowledge of applying additive technologies in dental medicine and their desire to implement such technologies into existing curricula. Findings The results revealed how an educational 3D model can be developed by optimizing the mesh parameters to reduce the total number of elements while maintaining the quality of the geometric structure. The survey results demonstrated that the willingness to adapt to new technologies is increasing (p < 0.001) among students with a higher level of education. A series of recent studies have indicated that the lack of knowledge and the current skill gap remain the most significant barriers to the wider adoption of additive manufacturing. Practical implications An economically feasible, realistic anatomical educational model in the field of dental medicine was established. Additive technology is a key pillar of new specialized-knowledge digital skills for the enhancement of dental training. Originality/value The novelty of this study is the introduction of a 3D technology for promoting an economically feasible model, without compromising the quality of dental education.

scholarly journals A design for additive manufacturing case study: fingerprint stool on a BigRep ONE

2019 ◽  
Vol 25 (6) ◽  
pp. 1069-1079 ◽  
Author(s):  
James I. Novak ◽  
Jonathon O’Neill
Keyword(s):  
Additive Manufacturing ◽  
Large Scale ◽  
Future Research ◽  
Design For Additive Manufacturing ◽  
Fused Filament Fabrication ◽  
Content Type ◽  
Layer Height ◽  
Design Engineers ◽  
Final Design

Purpose This paper aims to present new qualitative and quantitative data about the recently released “BigRep ONE” 3 D printer led by the design of a one-off customized stool. Design/methodology/approach A design for additive manufacturing (DfAM) framework was adopted, with simulation data iteratively informing the final design. Findings Process parameters can vary manufacturing costs of a stool by over AU$1,000 and vary print time by over 100 h. Following simulation, designers can use the knowledge to inform iteration, with a second variation of the design being approximately 50 per cent cheaper and approximately 50 per cent faster to manufacture. Metrology data reveal a tolerance = 0.342 per cent in overall dimensions, and surface roughness data are presented for a 0.5 mm layer height. Research limitations/implications Led by design, this study did not seek to explore the full gamut of settings available in slicing software, focusing predominantly on nozzle diameter, layer height and number of walls alongside the recommended settings from BigRep. The study reveals numerous areas for future research, including more technical studies. Practical implications When knowledge and techniques from desktop 3 D printing are scaled up to dimensions measuring in meters, new opportunities and challenges are presented for design engineers. Print times and material costs in particular are scaled up significantly, and this study provides numerous considerations for research centers, 3 D printing bureaus and manufacturers considering large-scale fused filament fabrication manufacturing. Originality/value This is the first peer-reviewed study involving the BigRep ONE, and new knowledge is presented about the practical application of the printer through a design-led project. Important relationships between material volume/cost and print time are valuable for early adopters.

Comparing environmental impacts of additive manufacturing vs traditional machining via life-cycle assessment

2015 ◽  
Vol 21 (1) ◽  
pp. 14-33 ◽  
Author(s):  
Jeremy Faludi ◽  
Cindy Bayley ◽  
Suraj Bhogal ◽  
Myles Iribarne
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Additive Manufacturing ◽  
Environmental Impacts ◽  
Surface Finish ◽  
Numerical Control ◽  
Cutting Fluid ◽  
Content Type ◽  
Electricity Use

Purpose – The purpose of this study is to compare the environmental impacts of two additive manufacturing machines to a traditional computer numerical control (CNC) milling machine to determine which method is the most sustainable. Design/methodology/approach – A life-cycle assessment (LCA) was performed, comparing a Haas VF0 CNC mill to two methods of additive manufacturing: a Dimension 1200BST FDM and an Objet Connex 350 “inkjet”/“polyjet”. The LCA’s functional unit was the manufacturing of two specific parts in acrylonitrile butadiene styrene (ABS) plastic or similar polymer, as required by the machines. The scope was cradle to grave, including embodied impacts, transportation, energy used during manufacturing, energy used while idling and in standby, material used in final parts, waste material generated, cutting fluid for CNC, and disposal. Several scenarios were considered, all scored using the ReCiPe Endpoint H and IMPACT 2002+ methodologies. Findings – Results showed that the sustainability of additive manufacturing vs CNC machining depends primarily on the per cent utilization of each machine. Higher utilization both reduces idling energy use and amortizes the embodied impacts of each machine. For both three-dimensional (3D) printers, electricity use is always the dominant impact, but for CNC at maximum utilization, material waste became dominant, and cutting fluid was roughly on par with electricity use. At both high and low utilization, the fused deposition modeling (FDM) machine had the lowest ecological impacts per part. The inkjet machine sometimes performed better and sometimes worse than CNC, depending on idle time/energy and on process parameters. Research limitations/implications – The study only compared additive manufacturing in plastic, and did not include other additive manufacturing technologies, such as selective laser sintering or stereolithography. It also does not include post-processing that might bring the surface finish of FDM parts up to the quality of inkjet or CNC parts. Practical implications – Designers and engineers seeking to minimize the environmental impacts of their prototypes should share high-utilization machines, and are advised to use FDM machines over CNC mills or polyjet machines if they provide sufficient quality of surface finish. Originality/value – This is the first paper quantitatively comparing the environmental impacts of additive manufacturing with traditional machining. It also provides a more comprehensive measurement of environmental impacts than most studies of either milling or additive manufacturing alone – it includes not merely CO2 emissions or waste but also acidification, eutrophication, human toxicity, ecotoxicity and other impact categories. Designers, engineers and job shop managers may use the results to guide sourcing or purchasing decisions related to rapid prototyping.

scholarly journals An optimisation framework for designs for additive manufacturing combining design, manufacturing and post-processing

2021 ◽  
Vol 27 (11) ◽  
pp. 90-105
Author(s):  
Anton Wiberg ◽  
Johan Persson ◽  
Johan Ölvander
Keyword(s):  
Additive Manufacturing ◽  
Design Methodology ◽  
Manufacturing Cost ◽  
Design For Additive Manufacturing ◽  
Post Processing ◽  
Process Selection ◽  
Content Type ◽  
Post Process ◽  
Alternative Designs

Purpose The purpose of this paper is to present a Design for Additive Manufacturing (DfAM) methodology that connects several methods, from geometrical design to post-process selection, into a common optimisation framework. Design/methodology/approach A design methodology is formulated and tested in a case study. The outcome of the case study is analysed by comparing the obtained results with alternative designs achieved by using other design methods. The design process in the case study and the potential of the method to be used in different settings are also discussed. Finally, the work is concluded by stating the main contribution of the paper and highlighting where further research is needed. Findings The proposed method is implemented in a novel framework which is applied to a physical component in the case study. The component is a structural aircraft part that was designed to minimise weight while respecting several static and fatigue structural load cases. An addition goal is to minimise the manufacturing cost. Designs optimised for manufacturing by two different AM machines (EOS M400 and Arcam Q20+), with and without post-processing (centrifugal finishing) are considered. The designs achieved in this study show a significant reduction in both weight and cost compared to one AM manufactured geometry designed using more conventional methods and one design milled in aluminium. Originality/value The method in this paper allows for the holistic design and optimisation of components while considering manufacturability, cost and component functionality. Within the same framework, designs optimised for different setups of AM machines and post-processing can be automatically evaluated without any additional manual work.

scholarly journals Wetlands of the South American Pacific Coast: A Bibliometric Approach

2021 ◽  
Author(s):  
Gabriel RIVERA ◽  
Sergio GONZALES ◽  
Héctor Aponte
Keyword(s):  
Bibliometric Analysis ◽  
Pacific Coast ◽  
Temporal Evolution ◽  
Anthropogenic Impacts ◽  
Decision Makers ◽  
South American ◽  
Research Topics ◽  
Scientific Publications ◽  
Subject Areas ◽  
Bibliometric Approach

Abstract Wetlands are ecosystems susceptible to anthropogenic impacts; analysis of the scientific publications on these ecosystems can be used as a reference for the adopting of measures to facilitate research and conservation. This bibliometric analysis aimed to evaluate the temporal evolution of scientific publications and trends in research topics related to the wetlands of Ecuador, Peru, and Chile; this region includes an extended desertic region in the southern Pacific. A total of 411 articles published during the period from 2000 to 2019 were reviewed. The most frequent subject areas were 'birds' and 'other types of fauna' (20.7% and 19.2%, respectively); the diversity of publications was similar, but the proportions of the total subject areas for each country varied. The number of papers published per year was found to be increasing. The thematic areas related to these ecosystems that require strengthening in Ecuador, Peru and Chile are identified (e. g. 'hydrology and sediment' in Peru, 'microscopic organisms' in Chile, and 'birds' in Ecuador). Decision-makers should use this information to promote the development of the lines of research identified for each country.

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