Hybrid subtractive–additive manufacturing processes for high value-added metal components

[1]  M. Rappaz,et al.  A simple but realistic model for laser cladding , 1994 .

[2]  Simon Ford,et al.  Additive manufacturing and sustainability: an exploratory study of the advantages and challenges , 2016 .

[3]  C. Seguí,et al.  Magnetocaloric Effect Caused by Paramagnetic Austenite–Ferromagnetic Martensite Phase Transformation , 2018, Metals.

[4]  J. Schoenung,et al.  On the evolution of microstructure and defect control in 316L SS components fabricated via directed energy deposition , 2019, Materials Science and Engineering: A.

[5]  Abel D. Santos,et al.  Fracture analysis in directed energy deposition (DED) manufactured 316L stainless steel using a phase-field approach , 2020 .

[6]  Ye Li,et al.  A finishing cutter selection algorithm for additive/subtractive rapid pattern manufacturing , 2013 .

[7]  George Chryssolouris,et al.  Tool wear predictability estimation in milling based on multi-sensorial data , 2016 .

[8]  Luca Settineri,et al.  A modelling framework for comparing the environmental and economic performance of WAAM-based integrated manufacturing and machining , 2019, CIRP Annals.

[9]  Harry Bikas,et al.  Additive manufacturing methods and modelling approaches: a critical review , 2015, The International Journal of Advanced Manufacturing Technology.

[10]  Li Chong,et al.  A review of digital manufacturing-based hybrid additive manufacturing processes , 2017, The International Journal of Advanced Manufacturing Technology.

[11]  Frédéric Vignat,et al.  Metallic additive manufacturing: state-of-the-art review and prospects , 2012 .

[12]  W. Woo,et al.  Microstructure and mechanical characteristics of multi-layered materials composed of 316L stainless steel and ferritic steel produced by direct energy deposition , 2019, Journal of Alloys and Compounds.

[13]  Vimal Dhokia,et al.  A novel decision-making logic for hybrid manufacture of prismatic components based on existing parts , 2017, J. Intell. Manuf..

[14]  George Chryssolouris,et al.  Manufacturing Systems: Theory and Practice , 1992 .

[15]  Hoda A. ElMaraghy,et al.  Optimal platform design and process plan for managing variety using hybrid manufacturing , 2019, CIRP Annals.

[16]  Harry Bikas,et al.  A design framework for additive manufacturing , 2019 .

[17]  Alfredo Suárez,et al.  Study on Arc Welding Processes for High Deposition Rate Additive Manufacturing , 2018 .

[18]  Svetan Ratchev,et al.  Machining simulation and system integration combining FE analysis and cutting mechanics modelling , 2007 .

[19]  T. Kurfess,et al.  Build Orientation Effects on Mechanical Properties of 316SS Components Produced by Directed Energy Deposition , 2020, Procedia Manufacturing.

[20]  Fritz Klocke,et al.  Ramp-up of hybrid manufacturing technologies , 2011 .

[21]  Alexander Jacob,et al.  Cost-oriented planning of equipment for selective laser melting (SLM) in production lines , 2018 .

[22]  George Chryssolouris,et al.  On the design of a monitoring system for desktop micro-milling machines , 2009 .

[23]  A. Valente,et al.  Influence of Process Parameters and Deposition Strategy on Laser Metal Deposition of 316L Powder , 2019, Metals.

[24]  Harry Bikas,et al.  A decision support method for evaluation and process selection of Additive Manufacturing , 2019, Procedia CIRP.

[25]  S. Masood,et al.  Mechanical properties of a novel plymetal manufactured by laser-assisted direct metal deposition , 2017 .

[26]  Yanis Balit,et al.  Self-heating behavior during cyclic loadings of 316L stainless steel specimens manufactured or repaired by Directed Energy Deposition , 2020, Materials Science and Engineering: A.

[27]  A. Molotnikov,et al.  Effect of build height on the properties of large format stainless steel 316L fabricated via directed energy deposition , 2020 .

[28]  Panagiotis Stavropoulos,et al.  Prediction of surface roughness magnitude in computer numerical controlled end milling processes using neural networks, by considering a set of influence parameters: An aluminium alloy 5083 case study , 2014 .

[29]  Klaus D Goepel,et al.  Implementation of an Online Software Tool for the Analytic Hierarchy Process (AHP-OS) , 2018, International Journal of the Analytic Hierarchy Process.

[30]  Jutima Simsiriwong,et al.  Fatigue behavior of additive manufactured 316L stainless steel parts: Effects of layer orientation and surface roughness , 2019, Additive Manufacturing.

[31]  Atanas Ivanov,et al.  A survey on smart automated computer-aided process planning (ACAPP) techniques , 2018, The International Journal of Advanced Manufacturing Technology.

[32]  Julie M. Schoenung,et al.  Relationship between manufacturing defects and fatigue properties of additive manufactured austenitic stainless steel , 2019, Materials Science and Engineering: A.

[33]  S. Biamino,et al.  An investigation on the effect of deposition pattern on the microstructure, mechanical properties and residual stress of 316L produced by Directed Energy Deposition , 2020, Materials Science and Engineering: A.

[34]  Vimal Dhokia,et al.  The development of a novel process planning algorithm for an unconstrained hybrid manufacturing process , 2013 .

[35]  Richard A. Wysk,et al.  Development of a modular computer-aided process planning (CAPP) system for additive-subtractive hybrid manufacturing of pockets, holes, and flat surfaces , 2018 .

[36]  D. Shim,et al.  Repairing additive-manufactured 316L stainless steel using direct energy deposition , 2019, Optics & Laser Technology.

[37]  Masahiko Mori,et al.  Innovative grid molding and cooling using an additive and subtractive hybrid CNC machine tool , 2017 .

[38]  Saigopal Nelaturi,et al.  Automated Process Planning for Hybrid Manufacturing , 2018, Comput. Aided Des..

[39]  Ke Xu,et al.  A sequence planning method for five-axis hybrid manufacturing of complex structural parts , 2020 .