80 Nos 9/12, pp. 3. Liu and Ma (2016) review how TO could be linked to different manufacturing methods. Conference Papers Building a framework for Design for Additive Manufacturing: Integrating perspectives in an emerging field Experiences, practices and information requirements in designing end-use components for additive manufacturing - results from a survey One general hard constraint is the maximum build size which is fixed for each machine. The Additive Manufacturing team at GE Research is working on technologies to make metal additive manufacturing faster, more reliable, and more pervasive in manufacturing. 216-227, available at: www.emeraldinsight.com/doi/abs/10.1108/RPJ-12-2014-0179, Liu, J. and Ma, Y. (2013) apply the ways of adding value to a component or system of components using AM to the E3 concept. Huang, X. Ye, C., Mo, J. and Liu, H. (2009), “Slice data based support generation algorithm for fused deposition modeling”, Tsinghua Science and Technology, 14(1), pp. 3Dsim (2017), “Additive manufacturing simulation”, available at: http://3dsim.com/ (accessed 28 June 2017). Method applied for creating the literature review, Categorization of the subjects of the sources from which the referenced literature is taken, Statics for different kinds of AM research, Main categories of research in the field of DfAM, Interpretation of the state-of-the-art DfAM process today, Recommended design methods/tools for step 1 in the compiled DfAM process, Recommended design methods/tools for step 2 in the compiled DfAM process, Recommended design methods/tools for step 3 in the compiled DfAM process, Recommended design methods/tools for step 4 in the compiled DfAM process, Recommended design methods/tools for step 5 in the compiled DfAM process, Recommended design methods/tools for step 6 in the compiled DfAM process, Recommended design methods/tools for step 7 in the compiled DfAM process, Recommended design methods/tools for step 8 in the compiled DfAM process, Recommended design methods/tools for step 9 in the compiled DfAM process, Overview of research in the area of simulation models of AM processes, Recommended design methods/tools for step 10 in the compiled DfAM process. 138-143, available at: http://dx.doi.org/10.1016/j.procir.2014.03.145, Klahn, C., Leutenecker, B. and Meboldt, M. (2015), “Design strategies for the process of additive manufacturing”, Procedia CIRP, Vol. (2016) do not present a design process but discuss how TO could be combined with experience and design rules during the design process. The focus is on the design engineer’s role in the DfAM process and includes which design methods and tools exist to aid the design process. However, it is important to state that even if the process design step is the last step, the system and component design categories also involve process-specific details and therefore process aspects are not entirely left to the end of the design process. The proposed framework is a type of knowledge based engineering (KBE) system and works as a framework with the goal of automating non-creative tasks and preparing for multidisciplinary design optimization (MDO) (Rocca, 2012). Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI. The Role of Sustainable Design in Additive Manufacturing. Guessasma, S., Zhang, W., Zhu, J., Belhabib, S. and Nouri, H. (2015), “Challenges of additive manufacturing technologies from an optimisation perspective”, International Journal for Simulation and Multidisciplinary Design Optimization, Vol. Using a structured method, the publications have sequentially been filtered down and ultimately an elaborated review based on over 100 papers has been compiled. This type of overall methodology with connecting methods and software did not exist before. Review of a language based technology to support engineering design”, Advanced Engineering Informatics, Vol. (2017), “Overhanging features and the SLM/DMLS residual stresses problem: review and future research need”, Technologies, Vol. 12, p. 121014, available at: http://manufacturingscience.asmedigitalcollection.asme.org/article.aspx?doi=10.1115/1.4033957, Bikas, H., Stavropoulos, P. and Chryssolouris, G. (2016), “Additive manufacturing methods and modelling approaches: a critical review”, The International Journal of Advanced Manufacturing Technology, Vol. (2016), “Bridging topology optimization and additive manufacturing”, Structural and Multidisciplinary Optimization, Vol. Different approaches for achieving this are image recognition or spline based methods. From a business case perspective, these incentives make it possible to use additive manufacturing in a start-up phase and later change to another manufacturing process. 738002. Fourth is the possibility to create more efficient designs, based on the fact that a more complex part is not more expensive to manufacture than a simple part (Klahn et al., 2014). Ian et al. (2017), “Additive manufacturing: toward holistic design”, Scripta Materialia, Vol. 1-12. As presented earlier, system design focuses on the overview of a component and tries to identify when AM is a suitable manufacturing method, what the part boundaries within a component and connecting to other components should look like, and which requirements are put on the parts. Compared to existing categorizations, these categories have a perspective on the design process and divide up the research based on when and how the research could be useful for a design engineer, designing a product or component for AM. You can join in the discussion by joining the community or logging in here.You can also find out more about Emerald Engage. The results are presented in a table with design rules. Kranz et al. Formulating MDO problems with a specification of the most suitable objectives and how constraints should be formulated and handled to achieve an overall optimal design. More value could be added to the product by combining what would have been multiple components using traditional manufacturing methods into one. In any case, the goal is always to minimize cost and maximize pro… (2011). 1-28. available at: http://link.springer.com/10.1007/s11831-015-9151-2%5Cnhttp://dx.doi.org/10.1007/s11831-015-9151-2%5Cnhttp://link.springer.com/10.1007/s11831-015-9151-2$%5C$nhttp://dx.doi.org/10.1007/s11831-015-9151-2, Zwier, M.P. Section 1, Method, describes the method of the performed review. Raghunath, N. and Pandey, P.M. (2007), “Improving accuracy through shrinkage modelling by using Taguchi method in selective laser sintering”, International Journal of Machine Tools and Manufacture, Vol. Chen, T. and Zhang, Y. View Additive Manufacturing Research Papers on Academia.edu for free. Within the DfM part of the design process, it is proposed to use a database with design rules and manufacturing constraints that is automatically evaluated. Which settings are optimal also depends on the material, the geometry and whether other components are built at the same time. 225-232, available at: www.tandfonline.com/doi/abs/10.1080/17452759.2014.951530, Rudolph, J.-P. and Emmelmann, C. (2017), “Analysis of design guidelines for automated order acceptance in additive manufacturing”, Procedia CIRP, Vol. 213 No. 2780-2791, available at: http://dx.doi.org/10.1016/j.jclepro.2016.10.190, Ammer, R., Markl, M., Ljungblad, U., Körner, C. and Rüde, U. 69, pp. Purpose: This paper aims to review recent research in design for additive manufacturing (DfAM), including additive manufacturing (AM) terminology, trends, methods, classification of DfAM methods and software. Accessed 27 June 2017 ) coupling between existing methods and software did exist. Those of conventional solids one project is set to transform the way we surgically treat bone,... 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