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Shape recovery analysis of the additive manufactured 3D smart surfaces through reverse engineering

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Abstract

Novel methodology to estimate the shape memory behavior of smart structure fabricated by additive manufacturing is presented by merging 3D laser scanning and reverse engineering (RE). The specimens made from a temperature-stimulated smart material-PLA, is printed by fused deposition modelling (FDM), which adds the functionality of shape memory with additive manufacturing. Initially, to verify the estimation of shape memory behavior, standard rectangular samples are designed, printed, scanned and regenerated by RE. The results of the shape memory analyses are in close agreement with the previous works, which validate the methodology to be adopted from more complex geometries. Subsequently, the procedure is employed to the three-dimensional paraboloid surface for the development of surfaces during the different phases of the cycle. Successful rapid restoration of all the surfaces has been achieved with the accurate measurements which could be a time-consuming process using the conventional measurement techniques or involve high sophistication methodology. The shape recovery and shape fixity of the paraboloid surfaces are in congruence with the values calculated for the standard samples. RE models are also used to estimate the effect of stresses applied during the programming stage and subsequent release of internal stresses in the recovery stage above the glass transition temperature of PLA.

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References

  1. Shafranek RT, Millik SC, Smith PT et al (2019) Stimuli-responsive materials in additive manufacturing. Prog Polym Sci 93:36–67. https://doi.org/10.1016/j.progpolymsci.2019.03.002

    Article  Google Scholar 

  2. Gao H, Li J, Zhang F et al (2019) The research status and challenges of shape memory polymer-based flexible electronics. Mater Horiz 6:931–944. https://doi.org/10.1039/C8MH01070F

    Article  Google Scholar 

  3. Lin C, Zhang L, Liu Y et al (2020) 4D printing of personalized shape memory polymer vascular stents with negative Poisson’s ratio structure: a preliminary study. Sci China Technol Sci 63:578–588. https://doi.org/10.1007/s11431-019-1468-2

    Article  Google Scholar 

  4. López-Valdeolivas M, Liu D, Broer DJ, Sánchez-Somolinos C (2018) 4D printed actuators with soft-robotic functions. Macromol Rapid Commun 39:1700710. https://doi.org/10.1002/marc.201700710

    Article  Google Scholar 

  5. Sydney Gladman A, Matsumoto EA, Nuzzo RG et al (2016) Biomimetic 4D printing. Nat Mater 15:413–418. https://doi.org/10.1038/nmat4544

    Article  Google Scholar 

  6. Zhou Y, Huang WM, Kang SF et al (2015) From 3D to 4D printing: approaches and typical applications. J Mech Sci Technol 29:4281–4288. https://doi.org/10.1007/s12206-015-0925-0

    Article  Google Scholar 

  7. Jin Z, Zhang Z, Gu GX (2020) Automated real-time detection and prediction of interlayer imperfections in additive manufacturing processes using artificial intelligence. Adv Intell Syst 2:1900130. https://doi.org/10.1002/aisy.201900130

    Article  Google Scholar 

  8. Tibbits S (2014) 4D printing: multi-material shape change. Archit Design 84:116–121. https://doi.org/10.1002/ad.1710

    Article  Google Scholar 

  9. Zhang Z, Demir KG, Gu GX (2019) Developments in 4D-printing: a review on current smart materials, technologies, and applications. Int J Smart Nano Mater 10:205–224. https://doi.org/10.1080/19475411.2019.1591541

    Article  Google Scholar 

  10. Kuang X, Roach DJ, Wu J et al (2019) Advances in 4D printing: materials and applications. Adv Func Mater 29:1805290. https://doi.org/10.1002/adfm.201805290

    Article  Google Scholar 

  11. Hoła J, Sadowski Ł, Reiner J, Stach S (2015) Usefulness of 3D surface roughness parameters for nondestructive evaluation of pull-off adhesion of concrete layers. Constr Build Mater 84:111–120. https://doi.org/10.1016/j.conbuildmat.2015.03.014

    Article  Google Scholar 

  12. Koch C, Georgieva K, Kasireddy V et al (2015) A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure. Adv Eng Inform 29:196–210. https://doi.org/10.1016/j.aei.2015.01.008

    Article  Google Scholar 

  13. Sansoni G, Trebeschi M, Docchio F (2009) State-of-the-art and applications of 3D imaging sensors in industry, cultural heritage, medicine, and criminal investigation. Sensors (Basel) 9:568–601. https://doi.org/10.3390/s90100568

    Article  Google Scholar 

  14. Tarabini M, Giberti H, Giancola S et al (2017) A moving 3D laser scanner for automated underbridge inspection. Machines 5:32. https://doi.org/10.3390/machines5040032

    Article  Google Scholar 

  15. Kuş A (2009) Implementation of 3D optical scanning technology for automotive applications. Sensors (Basel) 9:1967–1979. https://doi.org/10.3390/s90301967

    Article  Google Scholar 

  16. Jo YH, Hong S (2019) Three-dimensional digital documentation of cultural heritage site based on the convergence of terrestrial laser scanning and unmanned aerial vehicle photogrammetry. ISPRS Int J Geoinf 8:53. https://doi.org/10.3390/ijgi8020053

    Article  Google Scholar 

  17. Zhao H, Diao X, Jiang H, Zhao Z (2017) The 3D measurement techniques for ancient architecture and historical relics. In: Second international conference on photonics and optical engineering. International Society for Optics and Photonics, p 102562L

  18. Gerasimov VA, Kostrin DK, Selivanov LM et al (2019) Prototype of the intraoral dental scanner based on a laser scanning system. AIP Conf Proc 2089:020010. https://doi.org/10.1063/1.5095739

    Article  Google Scholar 

  19. DeVries NA, Gassman EE, Kallemeyn NA et al (2008) Validation of phalanx bone three-dimensional surface segmentation from computed tomography images using laser scanning. Skelet Radiol 37:35–42. https://doi.org/10.1007/s00256-007-0386-3

    Article  Google Scholar 

  20. Jiao Q, Jiang H, Li Q (2019) Building earthquake damage analysis using terrestrial laser scanning data. In: Advances in civil engineering. https://www.hindawi.com/journals/ace/2019/8308104/. Accessed 11 Apr 2020

  21. Jackson T, Shenkin A, Wellpott A et al (2019) Finite element analysis of trees in the wind based on terrestrial laser scanning data. Agric For Meteorol 265:137–144. https://doi.org/10.1016/j.agrformet.2018.11.014

    Article  Google Scholar 

  22. Reyno T, Marsden C, Wowk D (2018) Surface damage evaluation of honeycomb sandwich aircraft panels using 3D scanning technology. NDT E Int 97:11–19. https://doi.org/10.1016/j.ndteint.2018.03.007

    Article  Google Scholar 

  23. Teza G, Galgaro A, Moro F (2009) Contactless recognition of concrete surface damage from laser scanning and curvature computation. NDT E Int 42:240–249. https://doi.org/10.1016/j.ndteint.2008.10.009

    Article  Google Scholar 

  24. Xu X, Kargoll B, Bureick J et al (2018) TLS-based profile model analysis of major composite structures with robust B-spline method. Compos Struct 184:814–820. https://doi.org/10.1016/j.compstruct.2017.10.057

    Article  Google Scholar 

  25. Yang H, Omidalizarandi M, Xu X, Neumann I (2017) Terrestrial laser scanning technology for deformation monitoring and surface modeling of arch structures. Compos Struct 169:173–179. https://doi.org/10.1016/j.compstruct.2016.10.095

    Article  Google Scholar 

  26. Jiang Q, Feng X, Gong Y et al (2016) Reverse modelling of natural rock joints using 3D scanning and 3D printing. Comput Geotech 73:210–220. https://doi.org/10.1016/j.compgeo.2015.11.020

    Article  Google Scholar 

  27. Marani R, Nitti M, Cicirelli G et al (2013) High-resolution laser scanning for three-dimensional inspection of drilling tools. Adv Mech Eng 5:620786. https://doi.org/10.1155/2013/620786

    Article  Google Scholar 

  28. Park S, Kang HC, Lee J et al (2015) An enhanced method for registration of dental surfaces partially scanned by a 3D dental laser scanning. Comput Methods Progr Biomed 118:11–22. https://doi.org/10.1016/j.cmpb.2014.09.007

    Article  Google Scholar 

  29. Li F, Scarpa F, Lan X et al (2019) Bending shape recovery of unidirectional carbon fiber reinforced epoxy-based shape memory polymer composites. Compos A Appl Sci Manuf 116:169–179. https://doi.org/10.1016/j.compositesa.2018.10.037

    Article  Google Scholar 

  30. Song Y, Li Y, Song W et al (2017) Measurements of the mechanical response of unidirectional 3D-printed PLA. Mater Des 123:154–164. https://doi.org/10.1016/j.matdes.2017.03.051

    Article  Google Scholar 

  31. Leist SK, Gao D, Chiou R, Zhou J (2017) Investigating the shape memory properties of 4D printed polylactic acid (PLA) and the concept of 4D printing onto nylon fabrics for the creation of smart textiles. Virtual Phys Prototyp 12:290–300. https://doi.org/10.1080/17452759.2017.1341815

    Article  Google Scholar 

  32. Kalra S, Bhattacharya B, Munjal BS (2017) Design of shape memory alloy actuated intelligent parabolic antenna for space applications. Smart Mater Struct 26:095015. https://doi.org/10.1088/1361-665X/aa7468

    Article  Google Scholar 

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Authors and Affiliations

  1. Mechanical Engineering Department, S. V. National Institute of Technology, Surat, 395007, India

    Nilesh Tiwari, Suraj Waman Gagare & A. A. Shaikh

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  1. Nilesh Tiwari
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  2. Suraj Waman Gagare
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  3. A. A. Shaikh
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Correspondence to Nilesh Tiwari.

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Tiwari, N., Gagare, S.W. & Shaikh, A.A. Shape recovery analysis of the additive manufactured 3D smart surfaces through reverse engineering. Prog Addit Manuf 6, 281–295 (2021). https://doi.org/10.1007/s40964-020-00162-2

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  • DOI: https://doi.org/10.1007/s40964-020-00162-2

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