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E. Atzeni, A. Salmi (2012)
Economics of additive manufacturing for end-usable metal partsThe International Journal of Advanced Manufacturing Technology, 62
(2012)
Design rules for laser sintering
U. Zaman, M. Rivette, A. Siadat, S. Mousavi (2018)
Integrated product-process design: Material and manufacturing process selection for additive manufacturing using multi-criteria decision makingRobotics and Computer-Integrated Manufacturing
Martin Kumke, H. Watschke, T. Vietor (2016)
A new methodological framework for design for additive manufacturingVirtual and Physical Prototyping, 11
H. Ko, S. Moon, Jihong Hwang (2015)
Design for additive manufacturing in customized productsInternational Journal of Precision Engineering and Manufacturing, 16
E. Asadollahi-Yazdi, J. Gardan, Pascal Lafon (2018)
Multi-Objective Optimization of Additive Manufacturing ProcessIFAC-PapersOnLine, 51
K. Salonitis, Saeed Zarban (2015)
Redesign optimization for manufacturing using additive layer techniquesProcedia CIRP, 36
Y. Fu, C. Aldrich (2018)
Using Convolutional Neural Networks to Develop State-of-the-Art Flotation Froth Image SensorsIFAC-PapersOnLine, 51
A. Boschetto, L. Bottini (2016)
Design for manufacturing of surfaces to improve accuracy in Fused Deposition ModelingRobotics and Computer-integrated Manufacturing, 37
E. Asadollahi-Yazdi, J. Gardan, Pascal Lafon (2018)
Toward integrated design of additive manufacturing through a process development model and multi-objective optimizationThe International Journal of Advanced Manufacturing Technology, 96
C. Seepersad, Tyler Govett, Kevin Kim, M. Lundin, D. Piñero (2012)
A designer's guide for dimensioning and tolerancing SLS parts
D. Croccolo, M. Agostinis, S. Fini, G. Olmi, A. Vranić, S. Ćirić‐Kostić (2016)
Influence of the build orientation on the fatigue strength of EOS maraging steel produced by additive metal machineFatigue & Fracture of Engineering Materials & Structures, 39
V. Dhokia, Wesley Essink, J. Flynn (2017)
A generative multi-agent design methodology for additively manufactured parts inspired by termite nest buildingCirp Annals-manufacturing Technology, 66
D. Rosen (2007)
Computer-Aided Design for Additive Manufacturing of Cellular StructuresComputer-aided Design and Applications, 4
(1999)
State-of-the-art report on design for manufacturing
Rémi Ponche, J. Hascoet, O. Kerbrat, P. Mognol (2012)
A new global approach to design for additive manufacturingVirtual and Physical Prototyping, 7
P. Pradel, Zicheng Zhu, R. Bibb, J. Moultrie (2018)
Investigation of design for additive manufacturing in professional design practiceJournal of Engineering Design, 29
Yunlong Tang, J. Hascoet, Y. Zhao (2014)
Integration of topological and functional optimization in design for additive manufacturing
P. Vogiatzis, Ming Ma, Shikui Chen, X. Gu (2017)
Computational Design and Additive Manufacturing of Conformal Metasurfaces by Combining Topology Optimization With Riemann Mapping Theorem
L. Barnard, G. Gerber (2008)
Designing for laser sintering
C. Emmelmann, D. Herzog, J. Kranz (2017)
Design for laser additive manufacturing
D. Walton, Hadi Moztarzadeh (2017)
Design and Development of an Additive Manufactured Component by Topology OptimisationProcedia CIRP, 60
J. Kranz, D. Herzog, C. Emmelmann (2015)
Design guidelines for laser additive manufacturing of lightweight structures in TiAl6V4Journal of Laser Applications, 27
Wenjin Tao, M. Leu (2016)
Design of lattice structure for additive manufacturing2016 International Symposium on Flexible Automation (ISFA)
P. Pandey, N. Reddy, S. Dhande (2003)
Improvement of surface finish by staircase machining in fused deposition modelingJournal of Materials Processing Technology, 132
Xingzheng Chen, C. Li, Yan Jin, Li Li (2018)
Optimization of cutting parameters with a sustainable consideration of electrical energy and embodied energy of materialsThe International Journal of Advanced Manufacturing Technology, 96
O. Kerbrat, P. Mognol, J. Hascoët (2011)
A new DFM approach to combine machining and additive manufacturingComput. Ind., 62
Y. Ariadi, I. Campbell, M. Evans, Ian Graham (2012)
Combining additive manufacturing with computer aided consumer design
Weihong Zhang, Ying Zhou, Jihong Zhu (2017)
A comprehensive study of feature definitions with solids and voids for topology optimizationComputer Methods in Applied Mechanics and Engineering, 325
D. Cole, J. Riddick, H. Jaim, K. Strawhecker, N. Zander (2016)
Interfacial mechanical behavior of 3D printed ABSJournal of Applied Polymer Science, 133
K. Deb, S. Agrawal, Amrit Pratap, T. Meyarivan (2002)
A fast and elitist multiobjective genetic algorithm: NSGA-IIIEEE Trans. Evol. Comput., 6
T.H. Vo (2017)
La d´emarche de conception pour la fabrication additive: choix des modes de repré sentation dans la phase d,analyse
Sheng Yang, Yunlong Tang, Y. Zhao (2015)
A new part consolidation method to embrace the design freedom of additive manufacturingJournal of Manufacturing Processes, 20
C. Seepersad (2014)
Challenges and Opportunities in Design for Additive Manufacturing, 1
Sheng Yang, Y. Zhao (2015)
Additive manufacturing-enabled design theory and methodology: a critical reviewThe International Journal of Advanced Manufacturing Technology, 80
Vijay.B. Nidagundi, R. Keshavamurthy, C. Prakash (2015)
Studies on Parametric Optimization for Fused Deposition Modelling ProcessMaterials Today: Proceedings, 2
G. Adam, D. Zimmer (2014)
Design for Additive Manufacturing—Element transitions and aggregated structuresCirp Journal of Manufacturing Science and Technology, 7
S. Maidin, I. Campbell, E. Pei (2012)
Development of a design feature database to support design for additive manufacturingAssembly Automation, 32
Sungshik Yim (2007)
A Retrieval Method (DFM Framework) for Automated Retrieval of Design for Additive Manufacturing Problems
C. Klahn, B. Leutenecker, M. Meboldt (2014)
Design for Additive Manufacturing – Supporting the Substitution of Components in Series ProductsProcedia CIRP, 21
Rémi Ponche, O. Kerbrat, P. Mognol, J. Hascoët (2014)
A novel methodology of design for Additive Manufacturing applied to Additive Laser Manufacturing processRobotics and Computer-integrated Manufacturing, 30
C. Klahn, B. Leutenecker, M. Meboldt (2015)
Design Strategies for the Process of Additive ManufacturingProcedia CIRP, 36
S. Hällgren, L. Pejryd, Jens Ekengren (2016)
Re)Design for Additive ManufacturingProcedia CIRP, 50
J. Gardan (2016)
Additive manufacturing technologies: state of the art and trendsInternational Journal of Production Research, 54
Uzair Zaman, A. Siadat, M. Rivette, A. Baqai, Lihong Qiao (2017)
Integrated product-process design to suggest appropriate manufacturing technology: a reviewThe International Journal of Advanced Manufacturing Technology, 91
K. Salonitis (2016)
Design for additive manufacturing based on the axiomatic design methodThe International Journal of Advanced Manufacturing Technology, 87
B. Vayre, F. Vignat, F. Villeneuve (2012)
Designing for Additive ManufacturingProcedia CIRP, 3
Yicha Zhang, R. Gupta, A. Bernard (2016)
Two-dimensional placement optimization for multi-parts production in additive manufacturingRobotics and Computer-integrated Manufacturing, 38
Elnaz Asadollahi-Yazdi, J. Gardan, Pascal Lafon (2017)
Integrated Design for Additive Manufacturing Based on Skin-Skeleton ApproachProcedia CIRP, 60
Daniel Thomas (2009)
The development of design rules for selective laser melting
M. Barclift, Andrew Armstrong, T. Simpson, S. Joshi (2017)
CAD-Integrated Cost Estimation and Build Orientation Optimization to Support Design for Metal Additive Manufacturing
Zjenja Doubrovski, J. Verlinden, J. Geraedts (2011)
Optimal Design for Additive Manufacturing: Opportunities and Challenges
C. Emmelmann, P. Sander, J. Kranz, E. Wycisk (2011)
Laser Additive Manufacturing and Bionics: Redefining Lightweight DesignPhysics Procedia, 12
M. Burton (2005)
Design for rapid manufacture: developing an appropriate knowledge transfer tool for industrial designers
Chen Chu, Gregor Graf, D. Rosen (2008)
Design for Additive Manufacturing of Cellular StructuresComputer-aided Design and Applications, 5
D. Rosen (2007)
Design for Additive Manufacturing: A Method to Explore Unexplored Regions of the Design Space
R. Hague, S. Mansour, N. Saleh (2003)
Design opportunities with rapid manufacturingAssembly Automation, 23
Yicha Zhang, A. Bernard, R. Gupta, R. Harik (2014)
Evaluating the Design for Additive Manufacturing: A Process Planning PerspectiveProcedia CIRP, 21
Long Jiang, Hang Ye, Chi Zhou, Shikui Chen, Wenyao Xu (2017)
Parametric Topology Optimization Toward Rational Design and Efficient Prefabrication for Additive ManufacturingJournal of Manufacturing Science and Engineering
Jikai Liu, A. To (2017)
Deposition path planning-integrated structural topology optimization for 3D additive manufacturing subject to self-support constraintComput. Aided Des., 91
Wesley Essink, J. Flynn, Steven Goguelin, V. Dhokia (2017)
Hybrid Ants: A New Approach for Geometry Creation for Additive and Hybrid ManufacturingProcedia CIRP, 60
J. Riddick, M. Haile, R. Wahlde, D. Cole, O. Bamiduro, T. Johnson (2016)
Fractographic analysis of tensile failure of acrylonitrile-butadiene-styrene fabricated by fused deposition modelingAdditive manufacturing, 11
E. Asadollahi-Yazdi, J. Gardan, Pascal Lafon (2016)
Integrated Design in Additive Manufacturing Based on Design for ManufacturingWorld Academy of Science, Engineering and Technology, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 10
A. DeCicco, J. Faust (2013)
Effects of Build Parameters on Additive Materials
Yicha Zhang, A. Bernard (2014)
Grouping Parts for Multiple Parts Production in Additive ManufacturingProcedia CIRP, 17
R. Hague, S. Mansour, N. Saleh (2004)
Material and design considerations for rapid manufacturingInternational Journal of Production Research, 42
J. Cantrell, S. Rohde, D. Damiani, R. Gurnani, L. DiSandro, J. Anton, A. Young, A. Jerez, D. Steinbach, C. Kroese, P. Ifju (2017)
Experimental characterization of the mechanical properties of 3D-printed ABS and polycarbonate partsRapid Prototyping Journal, 23
Ebrahim Vahabli, S. Rahmati (2017)
Hybrid estimation of surface roughness distribution in FDM parts using analytical modeling and empirical investigationThe International Journal of Advanced Manufacturing Technology, 88
T. Primo, M. Calabrese, A. Prete, A. Anglani (2017)
Additive manufacturing integration with topology optimization methodology for innovative product designThe International Journal of Advanced Manufacturing Technology, 93
Gianluca D'Antonio, Frédéric Segonds, J. Bedolla, P. Chiabert, N. Anwer (2015)
A Proposal of Manufacturing Execution System Integration in Design for Additive Manufacturing
M. Leary, L. Merli, F. Torti, M. Mazur, M. Brandt (2014)
Optimal topology for additive manufacture: A method for enabling additive manufacture of support-free optimal structuresMaterials & Design, 63
Yoram Mass, O. Amir (2017)
Topology optimization for additive manufacturing: Accounting for overhang limitations using a virtual skeletonAdditive manufacturing, 18
N. Boyard, M. Rivette, O. Christmann, S. Richir (2013)
A design methodology for parts using additive manufacturing
H. Rodrigue, M. Rivette (2010)
An Assembly-Level Design for Additive Manufacturing Methodology
M. Thompson, A. Stolfi, M. Mischkot (2016)
Process chain modeling and selection in an additive manufacturing contextCirp Journal of Manufacturing Science and Technology, 12
This paper aims to provide a multi-objective optimization problem in design for manufacturing (DFM) approach for fused deposition modeling (FDM). This method considers the manufacturing criteria and constraints during the design by selecting the best manufacturing parameters to guide the designer and manufacturer in fabrication with FDM.Design/methodology/approachTopological optimization and bi-objective optimization problems are suggested to complete the DFM approach for design for additive manufacturing (DFAM) to define a product. Topological optimization allows the shape improvement of the product through a material distribution for weight gain based on the desired mechanical behavior. The bi-objective optimization problem plays an important role to evaluate the manufacturability by quantification and optimization of the manufacturing criteria and constraint simultaneously. Actually, it optimizes the production time, required material regarding surface quality and mechanical properties of the product because of two significant parameters as layer thickness and part orientation.FindingsA comprehensive analysis of the existing DFAM approaches illustrates that these approaches are not developed sufficiently in terms of manufacturability evaluation in quantification and optimization levels. There is no approach that investigates the AM criteria and constraints simultaneously. It is necessary to provide a decision-making tool for the designers and manufacturers to lead to better design and manufacturing regarding the different AM characteristics.Practical implicationsTo assess the efficiency of this approach, a wheel spindle is considered as a case study which shows how this method is capable to find the best design and manufacturing solutions.Originality/valueA multi-criteria decision-making approach as the main contribution is developed to analyze FDM technology and its attributes, criteria and drawbacks. It completes the DFAM approach for FDM through a bi-objective optimization problem which deals with finding the best manufacturing parameters by optimizing production time and material mass because of the product mechanical properties and surface roughness.
Rapid Prototyping Journal – Emerald Publishing
Published: Aug 21, 2019
Keywords: Product development; Fused deposition modelling; Layered manufacturing; Rapid prototyping; Optimization
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