Abstract
During the part design process, the main objective is usually the maximum performance in use. For aircraft structural parts, the best ratio between mechanical resistance and weight is sought. However, these objectives can lead to geometries which are complex to manufacture. The DFM method presented here is based on concepts from morphological studies and analytic hierarchy process (AHP) to optimize the geometry of an I-Beam considering its manufacturing process and use. To do this, all the I-Beam alternatives that fit into the mechanical environment of the part are listed. Performance indicators are then defined to evaluate the weight, mechanical resistance, and manufacturability of each I-Beam. Then, performance indicators are compared and their relative priority measured on a ratio scale. Finally, the various I-Beam alternatives are compared using a macro-indicator composed of all the performance indicators in order to find the best geometry for the part considering its industrial and economic environment.
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Lutters E, Van Houten F, Bernard A, Mermoz E, Schutte C (2014) Tools and techniques for product design. CIRP Ann Manuf Technol 63:607–630. https://doi.org/10.1016/j.cirp.2014.05.010.
Mulani SB, Locatelli D, Kapania RK (2010) algorithm development for optimization of arbitrary geometry panels using curvilinear stiffeners. In 51st AIAA / ASME / ASCE / AHS / ASC structures, Structural Dynamics and Materials Conference doi:https://doi.org/10.2514/6.2010-2674.
Wang W, Guo S, Chang N, Yang W (2010) Optimum buckling design of composite stiffened panels using ant colony algorithm. Compos Struct 92:712–719. https://doi.org/10.1016/j.compstruct.2009.09.018
Herencia J, Enrique P, Weaver M, Friswell M (2008) Initial sizing optimisation of anisotropic composite panels with T-shaped stiffeners. Thin-Walled Struct 46:399–412. https://doi.org/10.1016/j.tws.2007.09.003
Mistry M, Gandhi F, Chandra R (2008) Twist control of an I-beam through Vlasov bimoment actuation. In 49th AIAA / ASME / ASCE / AHS / ASC Structures, Structural Dynamics and Materials Conference. doi: https://doi.org/10.2514/6.2008-2278.
Oda Y, Mori M, Ogawa K, Nishida S, Fujishima M, Kawamura T (2012) Study of optimal cutting condition for energy efficiency improvement in ball end milling with tool-workpiece inclination. CIRP Ann Manuf Technol 61:119–122. https://doi.org/10.1016/j.cirp.2012.03.034.
Wang N, Tang K (2007) Automatic generation of gouge-free and angular-velocity-compliant five-axis toolpath. CAD. Computer Aided Design 39:841–852. https://doi.org/10.1016/j.cad.2007.04.003.
Tang TD, Bohez E, Koomsap P (2007) The sweep plane algorithm for global collision detection with workpiece geometry update for five-axis NC machining. CAD. Computer Aided Design 39:1012–1024. https://doi.org/10.1016/j.cad.2007.06.004.
Tang TD (2014) Algorithms for collision detection and avoidance for five-axis NC machining: a state of the art review. Comput Aided Des 51:1–17. https://doi.org/10.1016/j.cad.2014.02.001.
Derigent W (2005) Méthodologie de passage d’un modèle CAO vers un modèle FAO pour des pièces aéronautiques : prototype logiciel dans le cadre du projet USIQUICK. PhD dissertation, Université Henri Poincaré, Nancy-I
Coelho RT, de Souza AF, Roger AR, Rigatti AMY, de Lima Ribeiro AA (2010) Mechanistic approach to predict real machining time for milling free-form geometries applying high feed rate. Int J Adv Manuf Technol 46:1103–1111. https://doi.org/10.1007/s00170-009-2183-8
Curran R, Gomis G, Castagne S, Butterfield J, Edgar T, Higgins C, McKeever C (2007) Integrated digital design for manufacture for reduced life cycle cost. Int J Prod Econ 109:27–40. https://doi.org/10.1016/j.ijpe.2006.11.010
Yin H, Yu X (2010) Integration of manufacturing cost into structural optimization of composite wings. Chin J Aeronaut 23:670–676. https://doi.org/10.1016/S1000-9361(09)60269-7
Andersson F, Hagqvist A, Sundin E, Björkman M (2014) Design for manufacturing of composite structures for commercial aircraft-the development of a DFM strategy at SAAB Aerostructures. Procedia CIRP 17:362–367. https://doi.org/10.1016/j.procir.2014.02.053
Kerbrat O, Mognol P, Hascoët JY (2011) A new DFM approach to combine machining and additive manufacturing. Comput Ind 62:684–692. https://doi.org/10.1016/j.compind.2011.04.003
Ong SK, Sun MJ, Nee AYC (2003) A fuzzy set AHP-based DFM tool for rotational parts. J Mater Process Technol 138:223–230. https://doi.org/10.1016/S0924-0136(03)00076-1
Mardani A, Jusoh A, Zavadskas EK (2015) Fuzzy multiple criteria decision-making techniques and applications – two decades review from 1994 to 2014. Expert Syst Appl 42:4126–4148. https://doi.org/10.1016/j.eswa.2015.01.003
Vaidya OS, Kumar S (2006) Analytic hierarchy process: an overview of applications. Eur J Oper Res 169:1–29. https://doi.org/10.1016/j.ejor.2004.04.028.
Ohayon K, Ounnar F, Pujo P, Canal D (2011) Amélioration de l’ordonnancement d’une ligne de production par la méthode AHP. In 9e Congrès International de Génie Industriel CIGI.
Badea A, Prostean G, Goncalves G, Allaoui H (2014) Assessing risk factors in collaborative supply chain with the analytic hierarchy process (AHP). Procedia - Social Behavioral Sci 124:114–123. https://doi.org/10.1016/j.sbspro.2014.02.467
Singh SP, Singh VK (2011) Three-level AHP-based heuristic approach for a multi-objective facility layout problem. Int J Prod Res 49:1105–1125. https://doi.org/10.1080/00207540903536148
Altuzarra A, Moreno-Jiménez JM, Salvador M (2007) A bayesian priorization procedure for AHP-group decision making. Eur J Oper Res 182:367–382. https://doi.org/10.1016/j.ejor.2006.07.025
Saaty TL (1990) How to make a decision: the analytic hierarchy process. Eur J Oper Res 48:9–26. https://doi.org/10.1016/0377-2217(90)90057-I
Gogu G (2005) Evolutionary morphology. In: Bramley A, Brissaud D, Coutellier D, McMahon C (eds) Advances in integrated design and manufacturing in mechanical engineering. Springer, Dordrecht, pp 389–402. https://doi.org/10.1007/1-4020-3482-2_31
Desai S, Bidanda B, Lovell MR (2012) Material and process selection in product design using decision-making technique (AHP). European J Industrial Engineering 6:322–346. https://doi.org/10.1504/Ejie.2012.046666
Ounnar F, Khader S, Dubromelle Y, Prunaret JP, Pujo P (2013) Évaluation d’une méthode d’ordonnancement multicritère utilisant AHP. In 10° Congrès International de Génie Industriel CIGI.
Svoboda A, Tatar K, Norman P, Backstrom M (2006) Integrated approach for prediction of stability limits for machining with large volumes of material removal. Int J Prod Res 46:3207–3222. https://doi.org/10.1080/00207540601100924.
Saaty RW (1987) The analytic hierarchy process - what it is and how it is used. Mathematical Modelling 9:161–176. https://doi.org/10.1016/0270-0255(87)90473-8
Triantaphyllou E, Mann SH (1995) Using the analytic hierarchy process for decision making in engineering applications : some challenges. International journal of industrial engineering: theory, applications and. Practice 2:35–44
Saaty TL (1980) The analytic hierarchy process. McGraw-Hill, New York
Aguaron J, Moreno-Jiménez JM (2003) The geometric consistency index: approximated thresholds. Eur J Oper Res 147:137–145. https://doi.org/10.1016/S0377-2217(02)00255-2
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The authors are greatly appreciative to Mr. Alexandre Borsut and Mr. Quentin Lagarde, SIGMA Clermont, for their assistance in this paper.
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Fortunet, C., Durieux, S., Chanal, H. et al. DFM method for aircraft structural parts using the AHP method. Int J Adv Manuf Technol 95, 397–408 (2018). https://doi.org/10.1007/s00170-017-1213-1
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DOI: https://doi.org/10.1007/s00170-017-1213-1