The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
State of art on fusion deposition modeling machines process parameter optimization on composite materials
Abstract
Abstract In additive manufacturing technology, most significant technology is fused deposition modeling. This fabricates the 3D object by depositing material layer over layer with help of computer numerical control. The important limitation is that FDM is not availability of variety of material. Currently available material can be fabricating only prototype models. Recently researcher, researching on development of new material to improve the strength of the fabricating parts to use functional applications. This creates interest for number of researcher to involve in material development. Number of researcher investigated to on composite materials, used reinforcement materials such as natural fiber, ceramic, metal powders were used. This article presented to review the development of materials so far and scopes for development of new material.
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“FFF is recognized as one of the most cost-effective AM techniques, requiring lower energy levels compared to other AM methods, minimizing the waste of materials, and being very effective in terms of manufacturing time [175-177].”
From A comprehensive review of lunar-based manufacturing and construction (2024) · cites this paper as [177]
Citations
Cites
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Highly oriented carbon fiber–polymer composites via additive manufacturing
Tekinalp, H. L., Kunc, V., Velez-Garcia, G. M., Duty, C. E., Love, L. J., Naskar, A. K., Blue, C. A., & Ozcan, S. (2014) · Composites Science and Technology · doi:10.1016/j.compscitech.2014.10.009 · Cited by 1,514
Mohamed, O. A., Masood, S. H., & Bhowmik, J. L. (2015) · Advances in Manufacturing · doi:10.1007/s40436-014-0097-7 · Cited by 1,481
Effect of processing conditions on the bonding quality of FDM polymer filaments
Sun, Q., Rizvi, G. M., Bellehumeur, C. T., & Gu, P. (2008) · Rapid Prototyping Journal · doi:10.1108/13552540810862028 · Cited by 1,277
Interface and performance of 3D printed continuous carbon fiber reinforced PLA composites
Tian, X., Liu, T., Yang, C., Wang, Q., & Li, D. (2016) · Composites Part A: Applied Science and Manufacturing · doi:10.1016/j.compositesa.2016.05.032 · Cited by 1,162
Wu, W., Geng, P., Li, G., Zhao, D., Zhang, H., & Zhao, J. (2015) · Materials · doi:10.3390/ma8095271 · Cited by 881
Critical parameters influencing the quality of prototypes in fused deposition modelling
Anitha, R., Arunachalam, S., & Radhakrishnan, P. (2001) · Journal of Materials Processing Technology · doi:10.1016/s0924-0136(01)00980-3 · Cited by 733
Short fiber reinforced composites for fused deposition modeling
Zhong, W., Li, F., Zhang, Z., Song, L., & Li, Z. (2001) · Materials Science and Engineering: A · doi:10.1016/s0921-5093(00)01810-4 · Cited by 721
Ning, F., Cong, W., Hu, Y., & Wang, H. (2017) · Journal of Composite Materials · doi:10.1177/0021998316646169 · Cited by 632
Optimization of rapid prototyping parameters for production of flexible ABS object
Lee, B. H., Abdullah, J. M., & Khan, Z. A. (2005) · Journal of Materials Processing Technology · doi:10.1016/j.jmatprotec.2005.02.259 · Cited by 578
Research works printed but not linked: 1
- Mohamed, 2016, September. Experimental investigation of the influence of fabrication conditions on dynamic viscoelastic properties of PC-ABS processed parts by FDM process, No. 1, 012122
Cited by
A comprehensive review of lunar-based manufacturing and construction
Azami, M., Kazemi, Z., Moazen, S., Dubé, M., Potvin, M.-J., & Skonieczny, K. (2024) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2024.101045 · Cited by 57
Azami, M., Aubin Fournier, P.-L., & Skonieczny, K. (2024) · Earth and Space 2024 · doi:10.1061/9780784485736.086 · Cited by 4
Metadata
- Authors
- Subramaniyan, M., Karuppan, S., Eswaran, P., Appusamy, A., & Naveen Shankar, A.
- Affiliations
- Bannari Amman Institute of Technology (IN)
- Corresponding author
- Subramaniyan, Madheswaran
- Venue
- Materials Today Proceedings
- Publisher
- Elsevier BV
- Published
- 2021
- Volume
- 45
- Pages
- 820-827
- ISSN
- 2214-7853 (ISSN-L)
- OpenAlex
- W3014868898
- Cited by
- 23
- References
- 59
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 8 · 2023: 2 · 2022: 5 · 2021: 2
- FWCI
- 0.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- Locations
- Materials Today Proceedings (publishedVersion)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Additive Manufacturing and 3D Printing Technologies
- Physical Sciences › Engineering › Mechanical Engineering › Additive Manufacturing Materials and Processes
- Physical Sciences › Materials Science › Polymers and Plastics › Natural Fiber Reinforced Composites
- Keywords
- fused deposition modeling, process parameter optimization, composite materials, additive manufacturing, natural fiber reinforcement, ceramic reinforcement, filamentation, 3D printing materials
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- CoChat. (2026). Citation check: State of art on fusion deposition modeling machines process parameter optimization on composite materials. https://app.cochat.ai/papers/10.1016/j.matpr.2020.02.865
- The paper
- Subramaniyan, M., Karuppan, S., Eswaran, P., Appusamy, A., & Naveen Shankar, A. (2021). State of art on fusion deposition modeling machines process parameter optimization on composite materials. Materials Today Proceedings. https://doi.org/10.1016/j.matpr.2020.02.865
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
