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A comprehensive study in quantification of response characteristics of incremental sheet forming process

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Abstract

Incremental sheet forming (ISF) has emerged as one of the rapid prototyping processes in forming 3D-shaped products from design data without much need for human and tool intervention. Past studies show that an extensive focus has been paid on the analysis of surface roughness, clamped accuracy, and energy consumption in terms of machine standby and positioning energy, while very little focus was paid to deformation energy and unclamped accuracy. In this context, system identification-based methods can play a vital role in determining and evaluating hidden relationships between the inputs (tool diameter, wall angle, sheet thickness, and step down) and two characteristics, namely, deformation energy and unclamped accuracy. The present work proposes comprehensive study based on the feedback-evolutionary system identification (FB-ESI) approach in predictive evaluation of multiresponse characteristics. The validation and robustness of the models were done based on statistical error metrics, cross-validation, new complexity metrics, and hypothesis tests. Furthermore, the model analysis based on the parametric and sensitivity procedures resulted in 2D and 3D plots that measure the nature of the two characteristics with respect to each of the four inputs. It was found that sheet thickness and wall angle influence the most the deformation energy and unclamped geometrical accuracy, respectively. The findings from this analysis are useful in monitoring deformation energy and thus promoting greener environment.

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References

  1. Liu R, Lu B, Xu D, Chen J, Chen F, Ou H, Long H (2015) Development of novel tools for electricity-assisted incremental sheet forming of titanium alloy. Int J Adv Manuf Technol 85:1137–1144, 1–8

    Article  Google Scholar 

  2. Jeswiet J, Adams D, Doolan M, McAnulty T, Gupta P (2015) Single point and asymmetric incremental forming. Adv Manuf 3(4):253–262

    Article  Google Scholar 

  3. Li Y, Lu H, Daniel WJ, Meehan PA (2015) Investigation and optimization of deformation energy and geometric accuracy in the incremental sheet forming process using response surface methodology. Int J Adv Manuf Technol 79(9–12):2041–2055

    Article  Google Scholar 

  4. Li Y, Daniel WJ, Liu Z, Lu H, Meehan PA (2015) Deformation mechanics and efficient force prediction in single point incremental forming. J Mater Process Technol 221:100–111

    Article  Google Scholar 

  5. Kurra S, Rahman NH, Regalla SP, Gupta AK (2015) Modeling and optimization of surface roughness in single point incremental forming process. J Mater Res Technol 4(3):304–313

    Article  Google Scholar 

  6. Zhang MH, Lu B, Chen J, Long H, Ou H (2015) Selective element fission approach for fast FEM simulation of incremental sheet forming based on dual-mesh system. Int J Adv Manuf Technol 78(5–8):1147–1160

    Article  Google Scholar 

  7. Hagan E, Jeswiet J (2004) Analysis of surface roughness for parts formed by computer numerical controlled incremental forming. Proc Inst Mech Eng B J Eng Manuf 218(10):1307–1312

    Article  Google Scholar 

  8. Bhattacharya A, Maneesh K, Reddy NV, Cao J (2011) Formability and surface finish studies in single point incremental forming. J Manuf Sci Eng 133(6):061020

    Article  Google Scholar 

  9. Ham M, Jeswiet J (2007) Single point incremental forming limits using a Box–Behnken design of experiment. Key Eng Mater 344:629–636

    Article  Google Scholar 

  10. Essa K, Hartley P (2011) An assessment of various process strategies for improving precision in single point incremental forming. Int J Mater Form 4(4):401–412

    Article  Google Scholar 

  11. Ham MEJ (2007) Single point incremental forming of aluminium sheet metal: the development of maximum forming angle forming limits, measured strains, surface roughness and dimensional accuracy. Ph.D., Queen’s University (Canada), Ann Arbor

  12. Ambrogio G, Cozza V, Filice L, Micari F (2007) An analytical model for improving precision in single point incremental forming. J Mater Process Technol 191(1):92–95

    Article  Google Scholar 

  13. Duflou JR, Sutherland JW, Dornfeld D, Herrmann C, Jeswiet J, Kara S, Kellens K (2012) Towards energy and resource efficient manufacturing: a processes and systems approach. CIRP Ann Manuf Technol 61(2):587–609

    Article  Google Scholar 

  14. Dittrich MA, Gutowski TG, Cao J, Roth JT, Xia ZC, Kiridena V, Henning H (2012) Exergy analysis of incremental sheet forming. Prod Eng 6(2):169–177

    Article  Google Scholar 

  15. Branker K, Adams D, Jeswiet J (2012) Initial analysis of cost, energy and carbon dioxide emissions in single point incremental forming—producing an aluminium hat. Int J Sustain Eng 5(3):188–198

    Article  Google Scholar 

  16. Ingarao G, Ambrogio G, Gagliardi F, Di Lorenzo R (2012) A sustainability point of view on sheet metal forming operations: material wasting and energy consumption in incremental forming and stamping processes. J Clean Prod 29:255–268

    Article  Google Scholar 

  17. Ingarao G, Vanhove H, Kellens K, Duflou JR (2014) A comprehensive analysis of electric energy consumption of single point incremental forming processes. J Clean Prod 67:173–186

    Article  Google Scholar 

  18. Ambrogio G, Ingarao G, Gagliardia F, Di Lorenzo R (2014) Analysis of energy efficiency of different setups able to perform single point incremental forming (SPIF) processes. Proc CIRP 15:111–116

    Article  Google Scholar 

  19. Allwood JM, King GPF, Duflou J (2005) A structured search for applications of the incremental sheet-forming process by product segmentation. Proc Inst Mech Eng B J Eng Manuf 219(2):239–244

    Article  Google Scholar 

  20. Zhao D, Tian Q, Li Z, Zhu Q (2016) A new stepwise and piecewise optimization approach for CO 2 pipeline. Int J Greenhouse Gas Control 49:192–200

    Article  Google Scholar 

  21. Zhao D, Zhu Q, Dubbeldam J (2015) Terminal sliding mode control for continuous stirred tank reactor. Chem Eng Res Des 94:266–274

    Article  Google Scholar 

  22. Zhao D, Li S, Zhu Q (2016) Adaptive synchronised tracking control for multiple robotic manipulators with uncertain kinematics and dynamics. Int J Syst Sci 47(4):791–804

    Article  MathSciNet  MATH  Google Scholar 

  23. Zhao D, Zhu Q (2014) Position synchronised control of multiple robotic manipulators based on integral sliding mode. Int J Syst Sci 45(3):556–570

    Article  MathSciNet  MATH  Google Scholar 

  24. Zhao D, Zhu Q, Li N, Li S (2014) Synchronized control with neuro-agents for leader–follower based multiple robotic manipulators. Neurocomputing 124:149–161

    Article  Google Scholar 

  25. Panda, Biranchi N., K. Shankhwar, Akhil Garg, and Zhang Jian. “Performance evaluation of warping characteristic of fused deposition modelling process.” Int J Adv Manuf Technol (2016): 1–13

  26. Garg, Akhil, Biranchi Panda, and K. Shankhwar. “Investigation of the joint length of weldment of environmental-friendly magnetic pulse welding process.” Int J Adv Manufac Technol (2016): 1–12

  27. Koza JR (1992) Genetic programming: on the programming of computers by means of natural selection , vol 1. MIT press, USA

    MATH  Google Scholar 

  28. Vapnik VN, Vapnik V (1998) Statistical learning theory, vol 1. Wiley, New York

    MATH  Google Scholar 

  29. Panda B, Garg A, Jian Z, Heidarzadeh A, Gao L (2016) Characterization of the tensile properties of friction stir welded aluminum alloy joints based on axial force, traverse speed, and rotational speed. Front Mech Eng 1–10. doi:10.1007/s11465-016-0393-y

  30. Saidi L, Ali JB, Fnaiech F (2015) Application of higher order spectral features and support vector machines for bearing faults classification. ISA Trans 54:193–206

    Article  Google Scholar 

  31. Vijayaraghavan V, Garg A, Lam JSL, Panda B, Mahapatra SS (2015) Process characterisation of 3D-printed FDM components using improved evolutionary computational approach. Int J Adv Manuf Technol 78(5–8):781–793

    Article  Google Scholar 

  32. García-Nieto, Paulino José, E. García-Gonzalo, JA Vilán Vilán, and A. Segade Robleda (2015) A new predictive model based on the PSO-optimized support vector machine approach for predicting the milling tool wear from milling runs experimental data. The International Journal of Advanced Manufacturing Technology 1–12.

  33. Garg A, Lam JSL, Gao L (2015) Energy conservation in manufacturing operations: modelling the milling process by a new complexity-based evolutionary approach. J Clean Prod 108:34–45

    Article  Google Scholar 

  34. Panda BN, Garg A, Shankhwar K (2016) Empirical investigation of environmental characteristic of 3-D additive manufacturing process based on slice thickness and part orientation. Measurement 86:293–300

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Mechatronics Engineering, Shantou University, Shantou, 515063, China

    Akhil Garg

  2. The State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, 430074, China

    L. Gao

  3. IDMEC, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1040-001, Lisboa, Portugal

    B. N. Panda

  4. Veer Surendra Sai University of Technology, Burla, 768018, Sambalpur, India

    Swagatika Mishra

Authors
  1. Akhil Garg
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  2. L. Gao
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  3. B. N. Panda
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  4. Swagatika Mishra
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Corresponding author

Correspondence to B. N. Panda.

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Garg, A., Gao, L., Panda, B.N. et al. A comprehensive study in quantification of response characteristics of incremental sheet forming process. Int J Adv Manuf Technol 89, 1353–1365 (2017). https://doi.org/10.1007/s00170-016-9183-2

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  • DOI: https://doi.org/10.1007/s00170-016-9183-2

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