Refine your search
Collections
Co-Authors
Journals
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
B. Patil, Sairaj
- Analysis of Dimensional Variation in Fused Deposition Modeling Based 3d Printing Process Parameters for Better Dimensional Control
Abstract Views :52 |
PDF Views:0
Authors
Affiliations
1 D. Y. Patil College of Engineering and Technology, Kasaba Bawada, Kolhapur, IN
1 D. Y. Patil College of Engineering and Technology, Kasaba Bawada, Kolhapur, IN
Source
Manufacturing Technology Today, Vol 21, No 9-10 (2022), Pagination: 3-9Abstract
Additive Manufacturing (AM) is most promising technology in today’s manufacturing scenario. This technology is also known as 3D printing. Additive manufacturing construct the components by adding the material layer by layer. With advancement in technology additive manufacturing finds its application in almost every manufacturing sector and can build components of metal, polymers and composites. It offers huge design freedom and manufacture intricate shapes and parts of complex designs. This paper presents analysis of process parameters of Fused Deposition Modeling (FDM) for better dimensional accuracy. Different process parameters of FDM such as layer thickness, infill percentage and printing speed are considered for analysis. It is observed during this analysis that percentage variation of printed part inside diameter compared to that of 3D model inner diameter varied from 1.52% to 3.9%. Whereas percentage variation of square side of the printed part when compared with 3D model square side varied from 1.01% to 2.83%.Keywords
Additive Manufacturing, 3D Printing, Fused Deposition Modeling, Surface Roughness, Optimization.
References
- Chinmay V. Sutar, Adish A. Mandavkar, Sairaj B Patil, Tejas U. Mohite, Tushar A. Patole, & Raykar, S. (2022). Analysis and prediction of working range of process parameters for surface roughness of 3D printed parts with fused deposition modelling. Journal of Manufacturing Engineering, 17(2), 044–050. https://doi.org/10.37255/jme.v17i2pp044-050
- D’Addona, D. M., Raykar, S. J., Singh, D., & Kramar, D. (2021). Multi objective optimization of fused deposition modeling process parameters with desirability function. Procedia CIRP, 99, 707-710.
- Deomore, S. A., & Raykar, S. J. (2021). Multi-criteria decision making paradigm for selection of best printing parameters of fused deposition modeling. Materials Today: Proceedings, 44, 2562-2565.
- Jin, Y. A., He, Y., Fu, J. Z., Gan, W. F., & Lin, Z. W. (2014). Optimization of tool-path generation for material extrusion-based additive manufacturing technology. Additive Manufacturing, 1, 32-47.
- Manglam, M. K., Rout, S. N., Kumari, S., Kumar, S., & Kar, M. (2022). Structural, magnetic and optical properties of (0.45) Ni0. 5Zn0. 5Fe2O4+(0.55) BaFe12O19 composite. Materials Today: Proceedings, 57, 418-421.
- Patil, P., Raykar, S. J., Bhamu, J., & Singh, D. (2022). Modelling and analysis of surface roughness in fused deposition modeling based on infill patterns. Indian Journal of Engineering and Materials Sciences (IJEMS), 29(1), 92-99.
- Raykar, S. J., & D’Addona, D. M. (2020). Selection of best printing parameters of fused deposition modeling using VIKOR. Materials Today: Proceedings, 27, 344-347.
- Raykar, S. J., Narke, M. M., Desai, S. B., & Warke, S. S. (2020). Manufacturing of 3D printed sports helmet. In Techno-Societal 2018 (pp. 771-778). Springer, Cham.
- Sood, A. K., Ohdar, R. K., & Mahapatra, S. S. (2009). Improving dimensional accuracy of fused deposition modelling processed part using grey Taguchi method. Materials & Design, 30(10), 4243-4252.
- Wang, C. C., Lin, T., & Hu, S. (2007). Optimizing the rapid prototyping process by integrating the Taguchi method with the Gray relational analysis. Rapid Prototyping Journal, 13, 304-315.
- Examination and Analysis of Effect of Printing Parameters on Roundness of Fused Deposition Modeling (Fdm) Parts
Abstract Views :53 |
PDF Views:0
Authors
Sairaj B. Patil
1,
Tejas U. Mohite
1,
Tushar A. Patole
1,
Chinmay V. Sutar
1,
Adish A. Mandavkar
1,
Sunil J. Raykar
1
Affiliations
1 D.Y. Patil College of Engineering and Technology, Kasaba Bawada, Kolhapur, IN
1 D.Y. Patil College of Engineering and Technology, Kasaba Bawada, Kolhapur, IN
Source
Manufacturing Technology Today, Vol 21, No 9-10 (2022), Pagination: 17-22Abstract
The focus of the current research is on how different process variables affect geometrical tolerance, specifically how round a cylindrical PLA component is when printed using fused deposition modelling. Layer Thickness, Infill Percentage, and Print Speed are the three process parameters chosen for the current investigation. Examination and Analysis of Effect of Printing Parameters on Roundness of Fused Deposition Modelling (FDM) Parts is presented. It is found during investigation that layer height is most significant aspect for roundness of fused deposition modelling printed parts. From current analysis, it is found that the minimum roundness value is at 0.12 mm Layer Height, 90% Infill Density and Print Speed 60 mm/s.Keywords
3D Printing, Roundness, Fused Deposition Modelling, Dimensional Accuracy, Geometric Tolerance.References
- AS1100 (1984) Technical Drawing, Part 201–1984, Mechanical Drawing, Standards Australia, Sydney.
- ASME Y14.5 (2009) Dimensioning and Tolerancing, ASME, New York.
- Boschetto., A, & Bottini L. (2014). Accuracy prediction in Fused Deposition Modeling. International Journal of Advanced Manufacturing Technology, 73, 913-928.
- Boschetto, A., & Bottini, L. (2016). Design for manufacturing of surfaces to improve accuracy in Fused Deposition Modeling. Robotics and Computer Integrated Manufacturing, 37, 103-114.
- Chinmay, V. S., Mandavkar, A. A., Patil, S. B., Mohite, T. U., Patole, T. A., & Raykar, S. (2022). Analysis and prediction of working range of process parameters for surface roughness of 3D printed parts with fused deposition modelling. Journal of Manufacturing Engineering, 17(2), 044–050. https://doi.org/10.37255/jme.v17i2pp044-050.
- D’Addona, D. M., Raykar, S. J., Singh, D., & Kramar, D. (15-17 July 2020). 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering. CIRP ICME ´20.
- Deomore, S. A., Raykar, S. J. (2020). Multi-criteria decision making paradigm for selection of best printing parameters of fused deposition modeling. Materials Today. Proceedings, https://doi.org/10.1016/j.matpr.2020.12.632
- Lieneke, T., Adam, G., Leuders, S., Knoop, F., Josupeit, S., Delfs, P., Funke, N., & Zimmer, D. (2015). Systematical determination of tolerances for additive manufacturing by measuring linear dimensions. International Solid Freeform Fabrication Symposium, 371-384. Mahesh, M., Wong, Y. S., FuhJ, .Y. H., & Loh, H. T. (2004). Benchmarking for comparative evaluation of RP systems and processes. Rapid Prototyping Journal, 10(2), 123–135.
- Nagendra, J., & Ganesha Prasad, M. S. (2020). FDM process parameter optimization by taguchi technique for augmenting the mechanical properties of nylon-aramid composite used as filament material. Institution of Engineers (India): Ser. C, 101(2), 313-322.
- Nagendra, J., Ganesha Prasad, M. S., Shashank, S., Syed, M. A. (2018). Comparison of tribiological behavior of Nylon Aramid Polymer Composite Fabricated by Fused Deposition Modeling and Injection Molding Process. International Journal of Mechanical Engineering and Technology, 9(3), 720-728.
- Ollison, T., & Berisso, K. (2010). Three-dimensional printing build variables that impact cylindricity. Journal of Industrial Technology, 26(1), 1-10.
- Patil, P., Raykar, S. J., Bhamu, J., & Singh, D. (2022).Modeling and analysis of surface roughness in fused deposition modeling based on infill patterns. Indian Journal of Engineering & Materials Sciences, 29, February 2022, 92-99.
- Patil, P., Singh, D., Raykar, S. J., Bhamu, J. (2021). Multi-objective optimization of process parameters of fused deposition modeling (FDM) for printing polylactic acid (PLA) polymer components. Materials Today: Proceedings, 45, 4880-4885. https://doi.org/10.1016/j.matpr.2021.01.353
- Raykar S. J., & D’Addona, D. M., (2020). Selection of best printing parameters of fused deposition modeling using VIKOR. Materials Today: Proceedings, 27, 344-347. https://doi.org/10.1016/j.matpr.2019.11.104
- Raykar S. J., Narke M. M., Desai S. B., & Warke S. S. (2020). Manufacturing of 3d printed sports helmet. Techno-Societal 2018, 771-778. Springer, Cham. https://doi.org/10.1007/978-3-030-16962-6_77
- Sood A. K. (2011). Study on parametric optimization of fused deposition modelling (FDM) process. National Institue of Technology Rourkela, India.
- Sood, A. K., Ohdar, R. K., & Mahapatra, S. S. (2009). Improving dimensional accuracy of fused deposition modelling processed part using grey Taguchi method. Materials and Design, 30, 4243-4252.