IJAT Vol.17 No.4 pp. 326-334
doi: 10.20965/ijat.2023.p0326

Research Paper:

Effect of FDM Processing Conditions on Snap-Fit Characteristic in Assembly

Hiroyuki Taguchi*, Yohei Kunimatsu*, and Hiroyuki Narahara**,†

*Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology
680-4 Kawazu, Iizuka, Fukuoka 820-8502, Japan

**Department of Intelligent and Control Systems, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology
Iizuka, Japan

Corresponding author

December 8, 2022
February 9, 2023
July 5, 2023
snap-fit, additive manufacturing, fused deposition modeling, wavelet

Snap-fit allows plastic products to have assembly and disassembly capabilities without the use of screws, bolts, or other additional parts. For this reason, snap-fit is used in all kinds of plastic products from stationery to automotive parts. Because the mechanical and other functions of a snap-fit are greatly affected by its shape and material properties, it is desirable to fully evaluate them at the design stage. In addition, as the assembly and disassembly of products by snap-fit is generally performed by people, it is important to evaluate not only virtually but also with actual plastic parts. Therefore, there is a strong need to make a prototype and evaluate the feel of the product during assembling and disassembling, before finalizing on the shape and materials. In the past, making precise prototype required expensive molds, but in recent years, additive manufacturing has made it possible to make prototype efficiently and at low cost. In additive manufacturing, fused deposition modeling (FDM) is considered suitable for snap-fit prototype because it can use the same materials as mass-produced products. Thus, it may be possible to make a snap-fit prototype with rigidity, strength, and other characteristics similar to those of mass-produced products. However, FDM has various processing conditions such as tool path, nozzle temperature, and height of one layer. They are expected to have a significant effect on the snap-fit characteristics. Snap-fit is required to meet various requirements depending on the plastic products. The requirements can be divided into three major categories: in assembly, in disassembly, and when to use. In this study, we investigated the effect of FDM processing conditions on snap-fit characteristic in assembly.

Cite this article as:
H. Taguchi, Y. Kunimatsu, and H. Narahara, “Effect of FDM Processing Conditions on Snap-Fit Characteristic in Assembly,” Int. J. Automation Technol., Vol.17 No.4, pp. 326-334, 2023.
Data files:
  1. [1] P. R. Bonenberger, “The first snap-fit handbook: Creating and managing attachments for plastics parts,” 3rd Edition, Carl Hanser Verlag, 2016.
  2. [2] Bayer MaterialScience LLC, “Snap-fit joints for plastics: A design guide,” 2000.
  3. [3] J. Rotheiser, “Joining of plastics: Handbook for designers and engineers,” 3rd Edition, Carl Hanser Verlag, 2009.
  4. [4] A. Seth, J. M. Vance, and J. H. Oliver, “Virtual reality for assembly methods prototyping: A review,” Virtual Reality, Vol.15, No.1, pp. 5-20, 2011.
  5. [5] M. Attaran, “The rise of 3-D printing: The advantages of additive manufacturing over traditional manufacturing,” Business Horizons, Vol.60, No.5, pp. 677-688, 2017.
  6. [6] H. Bikas, P. Stavropoulos, and G. Chryssolouris, “Additive manufacturing methods and modelling approaches: A critical review,” The Int. J. of Advanced Manufacturing Technology, Vol.83, pp. 389-405, 2016.
  7. [7] J. Beniak, P. Križan, and M. Matúš, “Computer simulation of the strength of joints made by 3D printing,” J. of Multidisciplinary Engineering Science Studies, Vol.7, No.12, pp. 4129-4133, 2021.
  8. [8] J. Potgieter, O. Diegel, F. Noble, and M. Pike, “Additive manufacturing in the context of hybrid flexible manufacturing systems,” Int. J. Automation Technol., Vol.6, No.5, pp. 627-632, 2012.
  9. [9] C. Bellehumeur, L. Li, Q. Sun, and P. Gu, “Modeling of bond formation between polymer filaments in the fused deposition modeling process,” J. of Manufacturing Processes, Vol.6, No.2, pp. 170-178, 2004.
  10. [10] O. S. Carneiro, A. F. Silva, and R. Gomes, “Fused deposition modeling with polypropylene,” Materials & Design, Vol.83, pp. 768-776, 2015.
  11. [11] S. Garzon-Hernandez, D. Garcia-Gonzalez, A. Jérusalem, and A. Arias, “Design of FDM 3D printed polymers: An experimental-modelling methodology for the prediction of mechanical properties,” Materials & Design, Vol.188, 108414, 2020.
  12. [12] M. Montero, S. Roundy, D. Odell, P. K. Wright, and S.-H. Ahn, “Material characterization of fused deposition modeling (FDM) ABS by designed experiments,” Proc. of Rapid Prototyping & Manufacturing Conf., 2001.
  13. [13] S.-H. Ahn, M. Montero, D. Odell, S. Roundy, and P. K. Wright, “Anisotropic material properties of fused deposition modeling ABS,” Rapid Prototyping J., Vol.8, No.4, pp. 248-257, 2002.
  14. [14] T. J. Coogan and D. O. Kazmer, “Bond and part strength in fused deposition modeling,” Rapid Prototyping J., Vol.23, No.2, pp. 414-422, 2017.
  15. [15] S. A. Tronvoll, T. Welo, and C. W. Elverum, “The effects of voids on structural properties of fused deposition modelled parts: A probabilistic approach,” The Int. J. of Advanced Manufacturing Technology, Vol.97, No.9, pp. 3607-3618, 2018.
  16. [16] A. Hernandez-Contreras, L. Ruiz-Huerta, A. Caballero-Ruiz, V. Moock, and H. R. Siller, “Extended CT void analysis in FDM additive manufacturing components,” Materials, Vol.13, No.17, 3831, 2020.
  17. [17] L. Li, Q. Sun, C. Bellehumeur, and P. Gu, “Composite modeling and analysis of FDM prototypes for design and fabrication of functionally graded parts,” Proc. of the 2001 Int. Solid Freeform Fabrication Symp., pp. 187-194, 2001.
  18. [18] S. Iwamiya, Y. Nakajima, K. Ueda, K. Kawahara, and M. Takada, “Technical listening training: Improvement of sound sensitivity for acoustic engineers and sound designers,” Acoustical Science and Technology, Vol.24, No.1, pp. 27-31, 2003.
  19. [19] S. Okubo, Z. Gong, K. Fujita, and K. Sasaki, “Recognition of transient environmental sounds based on temporal and frequency features,” Int. J. Automation Technol., Vol.13, No.6, pp. 803-809, 2019.
  20. [20] K. Moreland and E. Angel, “The FFT on a GPU,” Proc. of the ACM SIGGRAPH/EUROGRAPHICS Conf. on Graphics Hardware (HWWS’03), pp. 112-119, 2003.
  21. [21] M. Akin, “Comparison of wavelet transform and FFT methods in the analysis of EEG signals,” J. of Medical Systems, Vol.26, No.3, pp. 241-247, 2002.
  22. [22] M. Sifuzzaman, M. R. Islam, and M. Z. Ali, “Application of wavelet transform and its advantages compared to Fourier transform,” J. of Physical Sciences, Vol.13, No.1, pp. 121-134, 2009.
  23. [23] M. F. Ashby, “Materials selection in mechanical design,” 3rd Edition, Butterworth-Heinemann, 2004.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Sep. 29, 2023