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.

A review on advancements in applications of fused deposition modelling process

2020 ◽  
Vol 26 (4) ◽  
pp. 669-687 ◽  
Author(s):  
Sathies T. ◽  
Senthil P. ◽  
Anoop M.S.
Keyword(s):  
Additive Manufacturing ◽  
Research Work ◽  
Rapid Tooling ◽  
Future Research ◽  
Fused Deposition Modelling ◽  
Content Type ◽  
Fused Deposition ◽  
Low Volume ◽  
Customized Products

Purpose Fabrication of customized products in low volume through conventional manufacturing incurs a high cost, longer processing time and huge material waste. Hence, the concept of additive manufacturing (AM) comes into existence and fused deposition modelling (FDM), is at the forefront of researches related to polymer-based additive manufacturing. The purpose of this paper is to summarize the research works carried on the applications of FDM. Design/methodology/approach In the present paper, an extensive review has been performed related to major application areas (such as a sensor, shielding, scaffolding, drug delivery devices, microfluidic devices, rapid tooling, four-dimensional printing, automotive and aerospace, prosthetics and orthosis, fashion and architecture) where FDM has been tested. Finally, a roadmap for future research work in the FDM application has been discussed. As an example for future research scope, a case study on the usage of FDM printed ABS-carbon black composite for solvent sensing is demonstrated. Findings The printability of composite filament through FDM enhanced its application range. Sensors developed using FDM incurs a low cost and produces a result comparable to those conventional techniques. EMI shielding manufactured by FDM is light and non-oxidative. Biodegradable and biocompatible scaffolds of complex shapes are possible to manufacture by FDM. Further, FDM enables the fabrication of on-demand and customized prosthetics and orthosis. Tooling time and cost involved in the manufacturing of low volume customized products are reduced by FDM based rapid tooling technique. Results of the solvent sensing case study indicate that three-dimensional printed conductive polymer composites can sense different solvents. The sensors with a lower thickness (0.6 mm) exhibit better sensitivity. Originality/value This paper outlines the capabilities of FDM and provides information to the user about the different applications possible with FDM.

scholarly journals Comparative study of the flexural properties of ABS, PLA and a PLA–wood composite manufactured through fused filament fabrication

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
J.A. Travieso-Rodriguez ◽  
R. Jerez-Mesa ◽  
Jordi Llumà ◽  
Giovanni Gomez-Gras ◽  
Oriol Casadesus
Keyword(s):  
Additive Manufacturing ◽  
Acrylonitrile Butadiene Styrene ◽  
Nozzle Diameter ◽  
Bending Test ◽  
Mechanical Resistance ◽  
Fused Filament Fabrication ◽  
Content Type ◽  
Layer Height ◽  
Maximum Deformation ◽  
Materials Used

Purpose The aim of this paper is to analyze the mechanical properties of acrylonitrile-butadiene-styrene (ABS) parts manufactured through fused filament fabrication and compare these results to analogous ones obtained on polylactic acid (PLA) and PLA–wood specimens to contribute for a wider understanding of the different materials used for additive manufacturing. Design/methodology/approach With that aim, an experimental based on an L27 Taguchi array was used to combine the specific parameters taken into account in the study, namely, layer height, nozzle diameter, infill density, orientation and printing velocity. All samples were subjected to a four-point bending test performed according to the ASTM D6272 standard. Findings Young’s modulus, elastic limit, maximum stress and maximum deformation of every sample were computed and subjected to an analysis of variance. Results prove that layer height and nozzle diameter are the most significant factors that affect the mechanical resistance in pieces generated through additive manufacturing and subjected to bending loads, regardless of the material. Practical implications The best results were obtained by combining a layer height of 0.1 mm and a nozzle diameter of 0.6 mm. The comparison of materials evidenced that PLA and its composite version reinforced with wood particles present more rigidity than ABS, whereas the latter can experience further deflection before break. Originality/value This study is of interest for manufacturers that want to decide which is the best material to be applied for their application, as it derives in a practical technical recommendation of the best parameters that should be selected to treat the material during the fused filament fabrication process.

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.

A case study for predicting the success possibility of supply chain practices implementation using AHP approach

2016 ◽  
Vol 31 (2) ◽  
pp. 137-151 ◽  
Author(s):  
Shrikant Gorane ◽  
Ravi Kant
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Large Scale ◽  
Methodological Approach ◽  
Essential Elements ◽  
Future Research ◽  
Decision Making Process ◽  
Content Type ◽  
Priority Weights

Purpose – The purpose of this paper is to predict the success possibility of supply chain practices (SCPs) implementation based on ten selected SCPs using the analytic hierarchy process (AHP). Design/methodology/approach – A case study was conducted, and for the same, data were collected from two organizations. The data collected from both the organizations were analyzed using AHP. The pair-wise comparisons of SCPs (usually, alternatives and attributes) are established using a scale indicating the strength with which one SCP dominates another with respect to higher-level SCPs. This scaling process then translated into priority weights. Once the priority weights of the elements/determinants of the module have been calculated, the presence of the corresponding element in the organization was evaluated. An evaluation rating of these elements multiplied by the established priority weights have determined the prediction weight for each SCP. Findings – The application of this procedure is described for the institutionalization module and can be similarly extended to the other SCPs/SCM implementation modules. By establishing the prediction weight for each module, the organizations will be able to evaluate the strength of the corresponding factors present before embarking on the SCPs. The organization can identify and create awareness of the essential elements in the SCPs implementation process and identify the actions necessary before implementing SCPs. The AHP can be a useful guide in the decision-making process of SCPs implementation, especially for medium- and large-scale organizations. Research limitations/implications – The priority weights are subjective and assigned as per the judgment of SCM managers from both the organizations. Further, the priority weights can be obtained from more industry experts through a questionnaire. Second, in this model, only ten practices are taken into consideration for successful SCPs implementation; more practices may be included in future research. Practical implications – The methodological approach presented can be a useful guide in the decision-making process of SCPs implementation in an organization. The outcome will aid practitioners to know the SCPs and benchmark the organizations on the basis of the methodological research conducted. Again, this model can simply act as a possible research model and the data can act as an example that can be utilized for other studies. Originality/value – This is the first kind of study which identified ten SCPs and further deployed AHP approach to see the success possibility of combined SCPs that influence the SCM implementation in an organization.

Manufacturing Fixation in Design: Exploring the Effects of Manufacturing Assumptions on Design Ideas

2021 ◽  
Author(s):  
Jennifer Bracken Brennan ◽  
William B. Miney ◽  
Timothy W. Simpson ◽  
Kathryn W. Jablokow
Keyword(s):  
Additive Manufacturing ◽  
Cognitive Bias ◽  
The United States ◽  
Manufacturing Technology ◽  
Future Research ◽  
Manufacturing Processes ◽  
Design For Additive Manufacturing ◽  
Design Fixation ◽  
Design Ideas

Abstract Designing successfully for any new or unfamiliar manufacturing technology requires an ability to look beyond the manufacturing limitations that have constrained one’s design ideas in the past. However, potential cognitive bias or fixation on familiar manufacturing processes may make this a challenge for designers. In this paper we introduce the novel concept of Manufacturing Fixation in Design (MFD), which we define as unconscious and often unintentional adherence to a limited set of manufacturing processes and/or constraints and capabilities during the design ideation process. This concept is explored as a subset of design fixation, a cognitive bias often experienced by designers and engineers. After reviewing related literature in design fixation, we introduce MFD as a type of design fixation and explore ways in which fixation on manufacturing might be assessed. We then offer an exploratory case study involving design for additive manufacturing, an advanced manufacturing technology that has seen considerable interest lately. The case study involves a Design for Additive Manufacturing workshop given at an aerospace technology company headquartered in the United States with participants who are professional engineering designers. Results from the study are used to explore how MFD manifests and how its impact in design and optimization for manufacturing might be measured. Future research and next steps to validate the existence of MFD are also discussed.

A systematic literature review of healthcare supply chain and implications of future research

2019 ◽  
Vol 13 (4) ◽  
pp. 405-435 ◽  
Author(s):  
Anuj Dixit ◽  
Srikanta Routroy ◽  
Sunil Kumar Dubey
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Inventory Management ◽  
Cold Chain ◽  
Future Research ◽  
Research Papers ◽  
Content Type ◽  
Drug Manufacturing ◽  
Customer Training

Purpose This paper aims to review the healthcare supply chain (HSC) literature along various areas and to find out the gap in it. Design/methodology/approach In total, 143 research papers were reviewed during 1996-2017. A critical review was carried out in various dimensions such as research methodologies/data collection method (empirical, case study and literature review) and inquiry mode of research methodology (qualitative, quantitative and mixed), country-specific, targeted area, research aim and year of publication. Findings Supply chain (SC) operations, performance measurement, inventory management, lean and agile operation, and use of information technology were well studied and analyzed, however, employee and customer training, tracking and visibility of medicines, cold chain management, human resource practices, risk management and waste management are felt to be important areas but not much attention were made in this direction. Research limitations/implications Mainly drug and vaccine SC were considered in current study of HSC while SC along healthcare equipment and machine, hospitality and drug manufacturing related papers were excluded in this study. Practical implications This literature review has recognized and analyzed various issues relevant to HSC and shows the direction for future research to develop an efficient and effective HSC. Originality/value The insight of various aspects of HSC was explored in general for better and deeper understanding of it for designing of an efficient and competent HSC. The outcomes of the study may form a basis to decide direction of future research.

scholarly journals An Optimization Workflow in Design for Additive Manufacturing

2021 ◽  
Vol 11 (6) ◽  
pp. 2572
Author(s):  
Stefano Rosso ◽  
Federico Uriati ◽  
Luca Grigolato ◽  
Roberto Meneghello ◽  
Gianmaria Concheri ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Structural Optimization ◽  
Geometric Model ◽  
Complex Geometries ◽  
Design Phase ◽  
Design For Additive Manufacturing ◽  
Engineering Software ◽  
Embodiment Design ◽  
Pros And Cons

Additive Manufacturing (AM) brought a revolution in parts design and production. It enables the possibility to obtain objects with complex geometries and to exploit structural optimization algorithms. Nevertheless, AM is far from being a mature technology and advances are still needed from different perspectives. Among these, the literature highlights the need of improving the frameworks that describe the design process and taking full advantage of the possibilities offered by AM. This work aims to propose a workflow for AM guiding the designer during the embodiment design phase, from the engineering requirements to the production of the final part. The main aspects are the optimization of the dimensions and the topology of the parts, to take into consideration functional and manufacturing requirements, and to validate the geometric model by computer-aided engineering software. Moreover, a case study dealing with the redesign of a piston rod is presented, in which the proposed workflow is adopted. Results show the effectiveness of the workflow when applied to cases in which structural optimization could bring an advantage in the design of a part and the pros and cons of the choices made during the design phases were highlighted.

scholarly journals Innovation and cross-functional teams

2018 ◽  
Vol 24 (1/2) ◽  
pp. 84-105 ◽  
Author(s):  
Daniel Marasquini Stipp ◽  
Márcio Lopes Pimenta ◽  
Daniel Jugend
Keyword(s):  
Single Case ◽  
Field Research ◽  
Incremental Innovation ◽  
Future Research ◽  
Content Type ◽  
The Public ◽  
Tax Management ◽  
Functional Teams ◽  
Practical Implications

Purpose The aim of this paper is to characterize how innovation may happen through cross-functional teams (CFT) in an organization of the public sector. Design/methodology/approach A case study helped to characterize several behavior patterns, team structures and respective links with generating innovation in internal processes and public answering contexts. Findings The results highlight that formal-temporary teams present a higher capacity to generate incremental innovation in products, whereas permanent-informal teams have a higher capacity to generate innovation in the internal processes and public answering contexts. Research limitations/implications The limitations of this research relate to the fact that this is a single case study, and although it is an important case to examine innovation and CFTs, by its very nature, it is not possible to extend and generalize the obtained data to other organizations. The evaluation of its propositions was merely qualitative, and future research is needed to validate its characteristics. Practical implications Several settings of CFTs are presented, as well as their ability to generate different types of innovation, such as the computerization of documents, petitions and papers, which decreases the time to answer the taxpayer. Moreover, CFTs can help to create products, such as computer programs that can be used not only locally but also in several public organizations related to tax management. Originality/value The field research provides the perceptions of the respondents regarding CFT characteristics that can lead to specific types of innovation, as well as the types of products or services that can be generated by these processes.

Consumers’ self-congruence with a “Liked” brand

2017 ◽  
Vol 51 (2) ◽  
pp. 367-390 ◽  
Author(s):  
Elaine Wallace ◽  
Isabel Buil ◽  
Leslie de Chernatony
Keyword(s):  
Social Relations ◽  
Brand Loyalty ◽  
Structural Equation ◽  
Large Scale ◽  
Equation Modeling ◽  
Future Research ◽  
Tie Strength ◽  
Brand Love ◽  
Content Type ◽  
Self Image

Purpose Brand “Likes” on Facebook facilitate self-expression, forming part of consumers’ virtual selves. Yet, consumers’ brand “Likes” may bear little resemblance to their material realities. This paper aims to test similarities of brand image with self-image for Facebook “Likes” to determine whether self-congruence with a “Liked” brand leads to positive offline brand outcomes. It also investigates whether consumers’ perceptions about their Facebook social relations influence self-congruent brand “Likes”. Design/methodology/approach A large-scale survey was conducted of regular Facebook users who “Liked” brands. Data from 438 respondents was analysed and hypotheses tested using structural equation modeling. Findings Empirical results show that the perceived self-congruence with a “Liked” brand increases with social tie strength. Perceived social tie strength is informed by perceived attitude homophily. When the perceived self-congruence with a “Liked” brand is higher, brand love and word of mouth (WOM) are enhanced. Consumers also have greater brand loyalty and offer more WOM when brands are loved. Research limitations/implications Findings demonstrate the influence of consumers’ cognitive network on “Likes” and brand outcomes. Further replication would enhance generalisability. Future research should use a wider sample and investigate other variables. Practical implications Findings support managers seeking to grow and analyse Facebook “Likes” by providing insights into brand loyalty, brand love and WOM for “Liked” brands. Originality/value The paper addresses the dearth of research exploring how consumers’ perceptions of their Facebook network influence their online brand behaviour and how perceived self-congruence with a “Liked” brand relates to brand outcomes.

Territorial capital as a company intangible

2016 ◽  
Vol 17 (1) ◽  
pp. 148-167 ◽  
Author(s):  
Mariachiara Barzotto ◽  
Giancarlo Corò ◽  
Mario Volpe
Keyword(s):  
Great Difficulty ◽  
Future Research ◽  
Manufacturing Companies ◽  
Policy Makers ◽  
Content Type ◽  
Capital Growth ◽  
Multiple Case ◽  
Definition Of ◽  
A Company

Purpose – The purpose of this paper is twofold. First, to explore to what extent being located in a territory is value-relevant for a company. Second, to understand if a company is aware of, and how it can sustain, the territorial tangible and intangible assets present in the economic area in which it is located. Design/methodology/approach – The study presents an empirical multiple case-study, investigating ten mid-/large-sized Italian companies in manufacturing sectors. Findings – The results indicate that the sampled manufacturing companies are intertwined with the environment in which they are embedded, both in their home country and in host ones. The domestic territorial capital has provided, and still provides, enterprises with workers endowed with the necessary technical skills that they can have great difficulty in finding in other places. In turn, companies support territorial capital generation through their activities. Research limitations/implications – To increase the generalisability of the results, future research should expand the sample and examine firms based in different countries and sectors. Practical implications – Implications for policy makers: developing effective initiatives to support and guide a sustainable territorial capital growth. Implications for managers and investors: improving managerial and investors’ decisions by disclosing a complete picture of the enterprise, also outside the firm boundaries. Originality/value – The study contributes to intangibles/intellectual capital literature by shedding light on the importance of including territorial capital in a company’s report to improve the definition of the firm’s value. Accounting of the territorial capital would increase the awareness of the socio-economic environment value in which companies are located and its use.

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