Abstract
Adjusting the part shape with complex flanges to compensate springback deformation is key to forming shape design for manufacturing rapidly and precisely. Classical forming shape design by displacement adjustment (DA) method using finite element (FE) simulation is usually time-consuming and not accurate enough for complex surface part in industrial application. In this paper, the forming shape is modeled by changing the relations of geometric features of part model with the new flange control surfaces directly. Control surface processing (CSP) method is presented including control surface trimming, cross section division, springback compensation, and extending to design forming shape model of doubly curved flange part with joggles rapidly. The algorithms of cross section curves division of control surfaces and subsequent subdivision of each curve with circular arc and line segments are proposed. A case-based reasoning (CBR) technique and gray relation analysis (GRA) are used to support the intelligent springback prediction of each bending segment of the cross section curve. The geometric data of control surface is expressed in XML format to realize the integration of the CAD-based tools of control surface division and compensation with the Web-based springback prediction system. The approach is demonstrated on an industrial aircraft wing rib part. The forming shape model could be designed rapidly by comparison with DA method. The part shape deviations of flange angle (−0.465° ~ 0.528°) and surface position (−0.3 mm ~ 0.3 mm) were detected by comparing the desired geometry with the actual digital formed part shape, and the results indicate that the approach can achieve the industrial part manufacturing rapidly and precisely.
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References
Antonelli M, Beccari CV, Casciola G, Ciarloni R, Morigi S (2013) Subdivision surfaces integrated in a CAD system. Comput Aided Des 45(11):1294–1305
Behrouzi A, Dariani BM, Shakeri M (2009) A one-step analytical approach for springback compensation in channel forming process. Proceedings of the World Congress on Engineering 2009:1757–1762
Cafuta G, Mole N, Štok B (2012) An enhanced displacement adjustment method: springback and thinning compensation. Mater Design 40:476–487
Cochrane S, Young RI, Case K, Harding J, Gao J, Dani S, Baxter D (2008) Knowledge reuse in manufacturability analysis. Robot Comput-Integr Manuf 24(4):508–513
Finnie G, Sun ZH (2013) R5 model for case-based reasoning. Knowl-Based Syst 16(1):59–65
Fu MW, Yong MS, Tong KK, Danno A (2008) Design solution evaluation for metal forming product development. Int J Adv Manuf Technol 38(3):249–257
Gan W, Wagoner RH (2004) Die design method for sheet springback. Int J Mech Sci 46(7):1097–1113
Guo Y, Peng YH, Hu J (2013) Research on high creative application of case-based reasoning system on engineering design. Comput Ind 64(1):90–103
Jamli MR, Ariffin AK, Wahab DA (2014) Integration of feedforward neural network and finite element in the draw-bend springback prediction. Expert Syst Appl 41(8):3662–3670
Jiang HJ, Dai HL (2015) A novel model to predict U-bending springback and time-dependent springback for a HSLA steel plate. Int J Adv Manuf Technol 81(5):1055–1066
Kappert JH, Houten FJAM, Kals HJJ (1993) Application of features in airframe component design and manufacturing. CIRP Ann-Manuf Technol 42(1):523–526
Khan MS, Coenen F, Dixon C, El-Salhi S, Penalva M, Rivero (2015) An intelligent process model: predicting springback in single point incremental forming. Int J Adv Manuf Technol 76(9):2071–2082
Kolesnikov A (2012) Segmentation and multi-model approximation of digital curves. Pattern Recogn Lett 33(9):1171–1179
Lingbeek RA, Huétink J, Ohnimus S, Petzoldt M, Weiher J (2005) The development of a finite elements based springback compensation tool for sheet metal products. J Mater Process Technol 169(1):115–125
Lingbeek RA, Meinders T, Ohnimus S, Petzoldt M, Weiher J (2006) Springback compensation: fundamental topics and practical application. In: Proceedings of 9th ESAFORM Conference on Material Forming, pp 403–406
Lingbeek RA, Gan W, Wagoner RH, Meinders T, Weiher J (2008) Theoretical verification of the displacement adjustment and springforward algorithms for springback compensation. Int J Mater Form 1(3):159–168
Ma Y, Niu WT, Luo ZJ, Yin FW, Huang T (2016) Static and dynamic performance evaluation of a 3-DOF spindle head using CAD–CAE integration methodology. Robot Comput-Integr Manuf 41:1–12
Nanu N, Brabie G (2012) Analytical model for prediction of springback parameters in the case of U stretch–bending process as a function of stresses distribution in the sheet thickness. Int J Mech Sci 64(1):11–21
Nasrollahi V, Arezoo B (2012) Prediction of springback in sheet metal components with holes on the bending area, using experiments, finite element and neural networks. Mater Design 36(4):331–336
Pilani R, Narasimhan K, Maiti SK, Singh UP, Date PP (2000) A hybrid intelligent systems approach for die design in sheet metal forming. Int J Adv Manuf Technol 16(5):370–375
Qi J, Hu J, Peng YH (2016) Hybrid weighted mean for CBR adaptation in mechanical design by exploring effective, correlative and adaptative values. Comput Ind 75:58–66
Rezayat M (2000) Knowledge-based product development using XML and KCs. Comput Aided Des 32(5):299–309
Sheu HT, WC H (1999) Multiprimitive segmentation of planar curves – a two-level breakpoint classification and tuning approach. IEEE Trans Pattern Anal Mach Intell 21:791–797
Šormaz D, Arumugam J, Harihara RS, Patel C, Neerukonda N (2010) Integration of product design, process planning, scheduling, and FMS control using XML data representation. Robot Comput-Integr Manuf 26(6):583–595
Tadrat J, Boonjing V, Pattaraintakorn P (2012) A new similarity measure in formal concept analysis for case-based reasoning. Expert Syst Appl 39(1):967–972
Wang JB, Liu C (2007) Digital sheet metal manufacturing system and application. Proceedings of the ASME International Manufacturing Science and Engineering Conference 2007:421–428
Wang P, Meng P, Zhai JY, Zhu ZQ (2013) A hybrid method using experiment design and grey relational analysis for multiple criteria decision making problems. Knowledge-Based Syst 53:100–107
Wang H, Zhou J, Zhao TS, Tao YP (2016) Springback compensation of automotive panel based on three-dimensional scanning and reverse engineering. Int J Adv Manuf Technol 85(5):1187–1193
Williams ME, Consolazio GR, Hoit MI (2005) Data storage and extraction in engineering software using XML. Adv Eng Softw 36(11–12):709–719
Yang XA, Ruan F (2011) A die design method for springback compensation based on displacement adjustment. Int J Mech Sci 53(5):399–406
Zhang ZK, JJ W, Zhang S, Wang MZ, Guo RC, Guo SC (2016) A new iterative method for springback control based on theory analysis and displacement adjustment. Int J Mech Sci 105:330–339
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Liu, C., Wu, H., Yang, Y. et al. A rapid and intelligent approach to design forming shape model for precise manufacturing of flanged part. Int J Adv Manuf Technol 91, 3121–3134 (2017). https://doi.org/10.1007/s00170-016-9935-z
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DOI: https://doi.org/10.1007/s00170-016-9935-z