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.

Computer‐aided selective production of low-resistance NiP and NiCuP layers

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Piotr Kowalik ◽  
Edyta Wróbel
Keyword(s):  
Low Temperature ◽  
Computer Program ◽  
Design Methodology ◽  
Surface Resistance ◽  
Temperature Coefficient Of Resistance ◽  
Ceramic Substrates ◽  
Content Type ◽  
Computer Aided ◽  
Chemical Metallization

Purpose This paper aims to present the possibility of computer-aided technology of chemical metallization for the production of electrodes and resistors based on Ni-P and Ni-Cu-P layers. Design/methodology/approach Based on the calculated parameters of the process, test structures were made on an alumina substrate using the selective metallization method. Dependences of the surface resistance on the metallization time were made. These dependencies take into account the comparison of the calculations with the performed experiment. Findings The author created a convenient and easy-to-use tool for calculating basic Ni-P and Ni-Cu-P layer parameters, namely, surface resistance and temperature coefficient of resistance (TCR) of test resistor, based on chemical metallization parameters. The values are calculated for a given level of surface resistance of Ni-P and Ni-Cu-P layer and defined required range of changes of TCR of test resistor. The calculations are possible for surface resistance values in the range of 0.4 Ohm/square ÷ 2.5 Ohm/square. As a result of the experiment, surface resistances were obtained that practically coincide with the calculations made with the use of the program created by the authors. The quality of the structures made is very good. Originality/value To the best of the authors’ knowledge, the paper presents a new, unpublished method of manufacturing electrodes (resistors) on silicon, Al2O3 and low temperature co-fired ceramic substrates based on the authors developed computer program.

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.

Selection of additive manufacturing processes

2017 ◽  
Vol 23 (2) ◽  
pp. 434-447 ◽  
Author(s):  
Yuanbin Wang ◽  
Robert Blache ◽  
Xun Xu
Keyword(s):  
Additive Manufacturing ◽  
New Technologies ◽  
Rapid Development ◽  
A Priori ◽  
Design Stage ◽  
Selection Methods ◽  
Sequential Decision ◽  
Process Selection ◽  
New Approach ◽  
Content Type

Purpose This study aims to review the existing methods for additive manufacturing (AM) process selection and evaluate their suitability for design for additive manufacturing (DfAM). AM has experienced a rapid development in recent years. New technologies, machines and service bureaus are being brought into the market at an exciting rate. While user’s choices are in abundance, finding the right choice can be a non-trivial task. Design/methodology/approach AM process selection methods are reviewed based on decision theory. The authors also examine how the user’s preferences and AM process performances are considered and approximated into mathematical models. The pros and cons and the limitations of these methods are discussed, and a new approach has been proposed to support the iterating process of DfAM. Findings All current studies follow a sequential decision process and focus on an “a priori” articulation of preferences approach. This kind of method has limitations for the user in the early design stage to implement the DfAM process. An “a posteriori” articulation of preferences approach is proposed to support DfAM and an iterative design process. Originality/value This paper reviews AM process selection methods in a new perspective. The users need to be aware of the underlying assumptions in these methods. The limitations of these methods for DfAM are discussed, and a new approach for AM process selection is proposed.

Why privacy is not enough privacy in the context of “ubiquitous computing” and “big data”

2014 ◽  
Vol 12 (2) ◽  
pp. 93-106 ◽  
Author(s):  
Tobias Matzner
Keyword(s):  
Big Data ◽  
Ubiquitous Computing ◽  
New Technologies ◽  
Personal Data ◽  
Quality Of Data ◽  
Content Type ◽  
Privacy Threats ◽  
New Concepts ◽  
New Perspective

Purpose – Ubiquitous computing and “big data” have been widely recognized as requiring new concepts of privacy and new mechanisms to protect it. While improved concepts of privacy have been suggested, the paper aims to argue that people acting in full conformity to those privacy norms still can infringe the privacy of others in the context of ubiquitous computing and “big data”. Design/methodology/approach – New threats to privacy are described. Helen Nissenbaum's concept of “privacy as contextual integrity” is reviewed concerning its capability to grasp these problems. The argument is based on the assumption that the technologies work, persons are fully informed and capable of deciding according to advanced privacy considerations. Findings – Big data and ubiquitous computing enable privacy threats for persons whose data are only indirectly involved and even for persons about whom no data have been collected and processed. Those new problems are intrinsic to the functionality of these new technologies and need to be addressed on a social and political level. Furthermore, a concept of data minimization in terms of the quality of the data is proposed. Originality/value – The use of personal data as a threat to the privacy of others is established. This new perspective is used to reassess and recontextualize Helen Nissenbaum's concept of privacy. Data minimization in terms of quality of data is proposed as a new concept.

Additive manufacturing technology: mapping social impacts

2019 ◽  
Vol 30 (1) ◽  
pp. 70-97 ◽  
Author(s):  
Florinda Matos ◽  
Celeste Jacinto
Keyword(s):  
Content Analysis ◽  
Additive Manufacturing ◽  
Business Models ◽  
Methodological Approach ◽  
Academic Research ◽  
Social Impacts ◽  
Content Type ◽  
Social Challenges ◽  
Computer Aided ◽  
Recent Developments

Purpose Recent developments in additive manufacturing (AM) technology have emphasized the issue of social impacts. However, such effects are still to be determined. So, the purpose of this paper is to map the social impacts of AM technology. Design/methodology/approach The methodological approach applied in this study combines a literature review with computer-aided content analysis to search for keywords related to social impacts. The content analysis technique was used to identify and count the relevant keywords in academic documents associated with AM social impacts. Findings The study found that AM technology social impacts are still in an exploratory phase. Evidence was found that several social challenges of AM technology will have an influence on the society. The topics associated with fabrication, customization, sustainability, business models and work emerged as the most relevant terms that can act as “pointers” to social impacts. Research limitations/implications The research on this subject is strongly conditioned by the scarcity of empirical experience and, consequently, by the scarcity of data and publications on the topic. Originality/value This study gives an up-to-date contribution to the topic of AM social impacts, which is still little explored in the literature. Moreover, the methodological approach used in this work combines bibliometrics with computer-aided content analysis, which also constitutes a contribution to support future literature reviews in any field. Overall, the results can be used to improve academic research in the topic and promote discussion among the different social actors.

The Integration of Quality Function Deployment and Computer Aided Design in Seat Comfort Design and Analyses

2013 ◽  
Author(s):  
Saed Amer ◽  
Landon Onyebueke
Keyword(s):  
Computer Aided Design ◽  
Quality Function Deployment ◽  
New Technologies ◽  
Human Subjects ◽  
Comfort Level ◽  
Quality Function ◽  
Seat Comfort ◽  
Computer Aided ◽  
Aided Design

The concerns of comfortable seat grew more momentous as this era brought new technologies leading to nonstop flights and more dependence on computers; hence, individuals spend more time seated to perform everyday activities. Uncomfortable prolonged sitting may reduce the quality of such activities and may yield health implications. Seat comfort evaluations are conventionally done post-production i.e. a fully produced seat is usually required in order to evaluate its level of comfort. Also, the inputs from the customer which could have significant impression on the comfort level of the seat are usually not considered during the design stages. This study proposes a solution with a system that performs seat comfort design and evaluation by integrating a Quality Function Deployment (QFD) tool with Computer Aided Design (CAD) technique. Several laboratory tests were performed to validate the proposed technique and the obtained results verify that the system can be a valid tool that can surrogate the traditional techniques for comfort analyses. The proposed system offers a comprehensive and systematic tool for the design and prediction of seat comfort by integrating the voice of the customer via QFD into CAD. Taking everything into account, the proposed system will diminish the need for physical prototyping, limit the involvement of human subjects and facilitate information sharing.

scholarly journals Improving the fidelity of aerodynamic probes using additive manufacturing

2016 ◽  
Vol 22 (1) ◽  
pp. 200-206 ◽  
Author(s):  
Ishaq Jarallah ◽  
Vasudevan P Kanjirakkad
Keyword(s):  
Additive Manufacturing ◽  
Computer Aided Design ◽  
Design Methodology ◽  
Cost Effective ◽  
Flow Measurements ◽  
Content Type ◽  
Support Materials ◽  
Cost Effective Method ◽  
Computer Aided ◽  
Individual Calibration

Purpose – This paper aims to offer the aerodynamic testing community a new procedure for manufacturing high-quality aerodynamic probes suitable for 3D flow measurements with consistent geometry and calibration by taking advantage of the additive manufacturing technology. Design/methodology/approach – The design methodology combines the advantages and flexibilities of computer aided design (CAD)/computer aided manufacturing (CAM) along with the use of computational fluid dynamics to design and analyse suitable probe shapes prior to manufacturing via rapid prototyping. Findings – A viable procedure to design and possibly batch manufacture geometrically accurate pneumatic probes with consistent calibration is shown to be possible through this work. Multi-jet modelling prototyping methods with wax-based support materials are found to be a cost-effective method when clean and long sub-millimetre pressure channels are to be cut. Originality/value – Utilisation of the geometry consistency that is made possible by 3D printing technology for the design and development of pneumatic probes is described. It is suggested that the technique could lead to batch production of identical probes, thus avoiding precious time of a skilled labourer and elaborate individual calibration requirement.

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 Elements of additive manufacturing technology adoption in small- and medium-sized sized companies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Praveen Kulkarni ◽  
Arun Kumar ◽  
Ganesh Chate ◽  
Padma Dandannavar
Keyword(s):  
Additive Manufacturing ◽  
Technology Adoption ◽  
New Technologies ◽  
Negative Impact ◽  
Manufacturing Technology ◽  
Research Approach ◽  
Content Type ◽  
Additive Manufacturing Technology ◽  
Design Engineers ◽  
The Difference

Purpose This study aims to examine factors that determine the adoption of additive manufacturing by small- and medium-sized industries. It provides insights with regard to benefits, challenges and business factors that influence small- and medium-sized industries when adopting this technology. The study also aims to expand the domain of additive manufacturing by including a broader range of challenges and benefits of additive manufacturing in literature. Design/methodology/approach Using data collected from 175 small- and medium-sized industries, the study has examined through Mann–Whitney test to understand the difference between owners and design engineers on additive manufacturing technology adoption in small- and medium-sized companies. Findings This study suggests contribution to academic discussion by providing associated factors that have significant impact on the adoption of additive manufacturing technology. Related advantages of additive manufacturing are reduction in inventory cost, lowering the wastage in production and customization of products. The study also indicates that factors such as cost of machinery, higher level of cost in integrating metal components have a negative impact on the adoption of this technology in small- and medium-sized industries. Research limitations/implications Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further in the field of challenges and growth in other areas of application of additive manufacturing, for instance, medical sciences, fabric and aerospace. Practical implications The study provides important implications that are of interest for both research and practitioners, related to technology management in small- and medium-sized industries, e.g. foundry and machining industries. Social implications This work/study fulfills an identified need of the small- and medium-sized companies in adopting new technologies and contribute to their growth by understanding the need to accept and implement technology. Originality/value This paper fulfills an identified need to study how small- and medium-scale companies accept new technologies and factors associated with implementation in the manufacturing process of the organization.

Australian private infrastructure funds need will grow

2018 ◽  
Keyword(s):  
New Technologies ◽  
Private Investment ◽  
Environmental Risks ◽  
Urban Transport ◽  
Quality Of Services ◽  
Rapid Population Growth ◽  
Content Type ◽  
Statutory Body ◽  
Us Dollar

Subject Australia's infrastructure situation. Significance Public consultancy group and statutory body Infrastructure Australia released a 42.4-billion-US-dollar blueprint in late March for priority projects in response to rapid population growth that is stretching the capacity of key cities. The 96 proposals include a new airport in Sydney and urban transport upgrades. Impacts Poor planning systems, undermining the quality of services, could deter much-needed private investment. Urban centres will struggle to manage projected population rises and higher environmental risks, especially from climate change. Infrastructure productivity is lagging, but new technologies could allow for efficiency gains.

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