Abstract
The on-going industrial trend towards high value sustainable manufacturing has led to the emergence of hybrid manufacturing processes. This new generation of processes combines the capabilities of a number of individual manufacturing processes on a single platform. Despite the fact that the drawbacks of individual processes have been significantly reduced, the application of hybrid technology has always been constrained by the capabilities of their constituent processes, in particular the capability to utilise various raw materials in terms of shape and size. This paper introduces a novel concept of hybrid process, which consists of combining additive, subtractive and inspection processes. A feature-based decision-making logic is developed, enabling the hybrid process to reuse existing parts/legacy products. An existing part is first measured for obtaining its geometrical information. Feasible manufacturing strategies are provided and then additive, subtractive and inspection processes are utilised interchangeably to add and/or remove material, transforming the existing part into the final part. This indicates that the iAtractive process is not restricted by raw material geometries. Three identical test parts were manufactured from three existing different shaped parts, demonstrating the efficacy of the proposed hybrid process and the decision-making logic in material reuse. New features can be added onto the existing parts and existing features can be removed or further manufactured, giving these parts additional lives, new uses and increased functionality.
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Notes
Fused Filament Fabrication (FFF) is sometimes called Fused Deposition Modelling (FDM). However, the latter term is trademarked by Stratasys Inc., and cannot used publicly without authorisation from Stratasys Inc.
References
Azarhoushang, B., & Akbari, J. (2007). Ultrasonic-assisted drilling of Inconel 738-LC. International Journal of Machine Tools & Manufacture, 47(7–8), 1027–1033.
Breitsprecher, T., & Wartzack, S. (2014). Neural network based modeling and optimization of deep drawing-extrusion combined process. Journal of Intelligent Manufacturing, 25(1), 77–84.
Campbell, I., Combrinck, J., de Beer, D., & Barnard, L. (2008). Stereolithography build time estimation based on volumetric calculations. Rapid Prototyping Journal, 14(5), 271–279. doi:10.1108/13552540810907938.
Chu, C.-H., & Hsieh, H.-T. (2012). Generation of reciprocating tool motion in 5-axis flank milling based on particle swarm optimization. Journal of Intelligent Manufacturing, 23(5), 1501–1509.
Dhokia, V. G., Newman, S. T., Crabtree, P., & Ansell, M. P. (2011). Adiabatic shear band formation as a result of cryogenic CNC machining of elastomers. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 225(9), 1482–1492.
Ding, H. T., & Shin, Y. C. (2013). Improvement of machinability of Waspaloy via laser-assisted machining. International Journal of Advanced Manufacturing Technology, 64(1–4), 475–486.
Duflou, J. R., Callebaut, B., Verbert, J., & De Baerdemaeker, H. (2008). Improved SPIF performance through dynamic local heating. International Journal of Machine Tools & Manufacture, 48(5), 543–549.
Jin, G. Q., Li, W. D., & Gao, L. (2013). An adaptive process planning approach of rapid prototyping and manufacturing. Robotics and Computer-Integrated Manufacturing, 29(1), 23–38.
Karunakaran, K., Suryakumar, S., Pushpa, V., & Akula, S. (2010). Low cost integration of additive and subtractive processes for hybrid layered manufacturing. Robotics and Computer-Integrated Manufacturing, 26(5), 490–499.
Kelkar, A., & Koc, B. (2008). Geometric planning and analysis for hybrid re-configurable molding and machining process. Rapid Prototyping Journal, 14(1), 23–34.
Kerbrat, O., Mognol, P., & Hascoet, J. Y. (2011). A new DFM approach to combine machining and additive manufacturing. Computers in Industry, 62(7), 684–692.
Kolleck, R., Vollmer, R., & Veit, R. (2011). Investigation of a combined micro-forming and punching process for the realization of tight geometrical tolerances of conically formed hole patterns. Cirp Annals-Manufacturing Technology, 60(2), 331–334.
Kumar, K. S., & Paulraj, G. (2014). Analysis and optimization of fixture under dynamic machining condition with chip removal effect. Journal of Intelligent Manufacturing, 25(1), 85–98.
Kumar, M., Melkote, S., & Lahoti, G. (2011). Laser-assisted microgrinding of ceramics. Cirp Annals-Manufacturing Technology, 60(2), 367–370.
Liou, F., Slattery, K., Kinsella, M., Newkirk, J., Chou, H. N., & Landers, R. (2007). Applications of a hybrid manufacturing process for fabrication of metallic structures. Rapid Prototyping Journal, 13(4), 236–244.
Manav, C., Bank, H., & Lazoglu, I. (2013). Intelligent toolpath selection via multi-criteria optimization in complex sculptured surface milling. Journal of Intelligent Manufacturing, 24(2), 349–355.
Narayanasamy, R., & Padmanabhan, P. (2012). Comparison of regression and artificial neural network model for the prediction of springback during air bending process of interstitial free steel sheet. Journal of Intelligent Manufacturing, 23(3), 357–364.
Ridwan, F., Xu, X., & Liu, G. (2012). A framework for machining optimisation based on STEP-NC. Journal of Intelligent Manufacturing, 23(3), 423–441.
Sun, Q., Rizvi, G., Giuliani, V., Bellehumeur, C., & Gu, P. (2004). Experimental study and modeling of bond formation between ABS filaments in the FDM process. In ANTEC conference proceedings, 2004 (Vol. 1, pp. 1158–1162) Society of Plastics Engineers.
Wen, X.-Y., Li, X.-Y., Gao, L., & Sang, H.-Y. (2014). Honey bees mating optimization algorithm for process planning problem. Journal of Intelligent Manufacturing, 25(3), 459–472.
Xiong, J., Zhang, G., Hu, J., & Wu, L. (2014). Bead geometry prediction for robotic GMAW-based rapid manufacturing through a neural network and a second-order regression analysis. Journal of Intelligent Manufacturing, 25(1), 157–163.
Xiong, X., Haiou, Z., Guilan, W., & Guoxian, W. (2009). Hybrid plasma deposition and milling for an aeroengine double helix integral impeller made of superalloy. Robotics and Computer-Integrated Manufacturing, 26(4), 291–295.
Yanyan, Y., Bo, Z., & Junli, L. (2009). Ultraprecision surface finishing of nano-ZrO2 ceramics using two-dimensional ultrasonic assisted grinding. The International Journal of Advanced Manufacturing Technology, 43(5), 462–467.
Zhang, Y., & Chou, K. (2008). A parametric study of part distortions in fused deposition modelling using three-dimensional finite element analysis. Proceedings of the Institution of Mechanical Engineers Part B-Journal of Engineering Manufacture, 222(8), 959–967.
Zhu, Z., Dhokia, V., Nassehi, A., & Newman, S. T. (2013a). A review of hybrid manufacturing processes—state of the art and future perspectives. International Journal of Computer Integrated Manufacturing, 26(7), 596–615.
Zhu, Z., Dhokia, V., & Newman, S. T. (2014). Application of a hybrid process for high precision manufacture of difficult to machine prismatic parts. International Journal of Advanced Manufacturing Technology. doi:10.1007/s00170-014-6053-7.
Zhu, Z., Dhokia, V. G., & Newman, S. T. (2013b). The development of a novel process planning algorithm for an unconstrained hybrid manufacturing process. Journal of manufacturing processes, 15(4), 404–413.
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Zhu, Z., Dhokia, V. & Newman, S.T. A novel decision-making logic for hybrid manufacture of prismatic components based on existing parts. J Intell Manuf 28, 131–148 (2017). https://doi.org/10.1007/s10845-014-0966-8
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DOI: https://doi.org/10.1007/s10845-014-0966-8