Investigation of the depth impact of the ironing process using SEM images and CAD system
DOI:
https://doi.org/10.32972/dms.2023.014Keywords:
ironing, SEM, CAD, Additive manufacturing, surface topology, FDMAbstract
The adoption of additive manufacturing within the automotive sector is progressively growing, primarily attributed to the technology's speed, relative ease of use, and its capability to manufacture components with intricate geometries that are beyond the reach of traditional methods. This holds especially true for enhanced or structured plastic parts. A variety of instrumental, analytical, and image analysis techniques are accessible for both qualitative and quantitative assessment of surface structures. This article outlines the potential of utilizing scanning electron microscopy (SEM) and CAD for image analysis in this context.
References
Albert, J., & Takács, Á. (2023). Additív gyártás biomimetikai megközelítéssel. GÉP, 74(4), 9-12.
Alzyod, H., Takács, J., & Ficzere, P. (2023). Improving surface smoothness in FDM parts through ironing post-processing. Journal of Reinforced Plastics and Composites. https://doi.org/10.1177/07316844231173059
Borsodi, E., & Takács, Á. (2022). Generative Design: An Overview and Its Relationship to Artificial Intelligence. Design of Machines and Structures, 12(2), 54-60. https://doi.org/10.32972/dms.2022.013
Ficzere, P. (2023. szeptember 15). A vasalási eljárás paraméter-változásának hatása a felületi érdességre FFF el-járással készített additív gyártás esetén. (N. J. Egyetem, Rendező) Országos Additív Ipari Tudományos Konferencia és Workshop, Kecskemét.
Kónya, G., & Ficzere, P. (2022). A rétegvastagság és az alkatrész tájolásának hatásai az alkatrész mikro- és makrogeometriai jellemzőire 3D nyomtatás során. Gradus, 9(2). https://doi.org/10.47833/2022.2.ENG.005
Kónya, G., & Ficzere, P. (2023). The Effect of Layer Thickness and Orientation of the Workpiece on the Micro- and Macrogeometric Properties and the Machining Time of the Part during 3D Printing. Periodica Polytechnica Mechanical Engineering, 67(2), 143-150. https://doi.org/10.3311/PPme.21473
