Development of an integrated design methodology model for quality and throughput of Additive Manufacturing processes

Abstract Additive manufacturing (AM) has risen to be a substantial part of modern manufacturing due to its unique capabilities and has already been fondly adopted in various fields especially in the aerospace. In order to fully harness the benefits of this revolutionary manufacturing technology, this article aims to develop a practical integrated design methodology that can be used to enhance quality and throughput of AM processes. In doing so, investigation were conducted to examine an AM aero-based component through design tools that allow designers to consider an integrated process chain, from component design to pre-processing, manufacturing (laser bed fusion building), post-processing and finished part. The developed design model integrated with decision tools will assist the design experts in developing new knowledge that looks beyond the familiar Design for Additive Manufacturing (DfAM) rather to Design towards product Certification (DoC). In addition, this will serve as an effective design guidance that can inform proper design planning and optimization in aerospace industry production.

[1]  Ali Siadat,et al.  Integrated product-process design to suggest appropriate manufacturing technology: a review , 2017 .

[2]  Matthijs Langelaar,et al.  Topology optimization of 3D self-supporting structures for additive manufacturing , 2016 .

[3]  Nigan Bayazit,et al.  Investigating Design: A Review of Forty Years of Design Research , 2004, Design Issues.

[4]  Martin G. Helander,et al.  Knowledge identification and management in product design , 2006, J. Knowl. Manag..

[5]  Chih-Chun Cheng,et al.  Support structure design in additive manufacturing based on topology optimization , 2017 .

[6]  Charlie C. L. Wang,et al.  The status, challenges, and future of additive manufacturing in engineering , 2015, Comput. Aided Des..

[7]  Mirko Ficko,et al.  Multi-criteria selection of manufacturing processes in the conceptual process planning , 2017 .

[8]  Zahari Taha,et al.  Multi-objective optimization for high recyclability material selection using genetic algorithm , 2013 .

[9]  Ying Liu,et al.  Self-supporting structure design in additive manufacturing through explicit topology optimization , 2017 .

[10]  Mickaël Rivette,et al.  Integrated product-process design: Material and manufacturing process selection for additive manufacturing using multi-criteria decision making , 2018, Robotics and Computer-Integrated Manufacturing.

[11]  Christoph Klahn,et al.  Design Strategies for the Process of Additive Manufacturing , 2015 .

[12]  Govind Sharan Dangayach,et al.  Analytic Hierarchy Process (AHP) Model for Evaluating Sustainable Manufacturing Practices in Indian Electrical Panel Industries , 2015 .

[13]  M. Coker,et al.  Microbiological quality of packaged bottled water and public water supply in Ibadan, Nigeria , 2006 .

[14]  Mostafa Yakout,et al.  The selection of process parameters in additive manufacturing for aerospace alloys , 2017 .