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Gnanasagaran CL, Ramachandran K, Jamadon NH, Kumar VH, Muchtar A, Pazhani A, Ayaz B. Microstructural and mechanical behaviours of Y-TZP prepared via slip-casting and fused deposition modelling (FDM). Heliyon 2023; 9:e21705. [PMID: 37954343 PMCID: PMC10638070 DOI: 10.1016/j.heliyon.2023.e21705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 10/25/2023] [Accepted: 10/26/2023] [Indexed: 11/14/2023] Open
Abstract
This paper reports the microstructural characteristics and mechanical properties of yttria-stabilized zirconia prepared via fused deposition modelling and slip casting. X-Ray Diffraction peaks indicated that yttria-stabilized zirconia crystallized in tetragonal structure for both slip casted(SC) and fused deposition modelled(FDM) samples. Further, scanning electron microscopy of slip casted sample showcased closely packed structure with fine grains and an average grain size of ∼65 nm whilst fused deposition modelled samples showcased non-homogeneous pores with ∼20 nm grain size. Average relative density of slip casted samples was ∼99.4 % while that of fused deposition modelled sample exhibited ∼96.2 %. The Vickers Hardness of slip casted (∼15.26 ± 0.4 GPa) was ∼10 % higher than the fused deposition modelled samples (∼13.79 ± 0.3 GPa). Likewise, indentation fracture toughness of slip casted (5.78 ± 0.5 MPa m1/2) was 14 % higher than fused deposition modelled samples which could have been due to the change in grain size as well as porosity of the ceramics. Compressive strength of the fused deposition modelled samples was 32 % less than slip casted samples (∼510 ± 10 MPa) due to its non-homogenous pores which led to weakening van der Waals force of attraction.
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Affiliation(s)
- Constance L. Gnanasagaran
- School of Engineering and the Environment, Kingston University, Roehampton Vale Campus, London, SW15 3DW, United Kingdom
| | - Karthikeyan Ramachandran
- School of Engineering and the Environment, Kingston University, Roehampton Vale Campus, London, SW15 3DW, United Kingdom
- School of Mechanical Engineering, Coventry University, Coventry, CV1 2JH, United Kingdom
| | - Nashrah Hani Jamadon
- Department of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, University Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia
| | | | - Andanastuti Muchtar
- Department of Mechanical and Manufacturing Engineering, Faculty of Engineering and Built Environment, University Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia
| | - Ashwath Pazhani
- School of Mechanical Engineering, Coventry University, Coventry, CV1 2JH, United Kingdom
| | - Beenish Ayaz
- School of Engineering and the Environment, Kingston University, Roehampton Vale Campus, London, SW15 3DW, United Kingdom
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Process Data-Based Knowledge Discovery in Additive Manufacturing of Ceramic Materials by Multi-Material Jetting (CerAM MMJ). JOURNAL OF MANUFACTURING AND MATERIALS PROCESSING 2020. [DOI: 10.3390/jmmp4030074] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Multi-material jetting (CerAM MMJ, previously T3DP) enables the additive manufacturing of ceramics, metals, glass and hardmetals, demonstrating comparatively high solid contents of the processed materials. The material is applied drop by drop onto a substrate. The droplets can be adapted to the component to be produced by a large degree of freedom in parameterization. Thus, large volumes can be processed quickly and fine structures can be displayed in detail, based on the droplet size. Data-driven methods are applied to build process knowledge and to contribute to the optimization of CerAM MMJ manufacturing processes. As a basis for the computational exploitation of mass sensor data from the technological process chain for manufacturing a component with CerAM MMJ, a data management plan was developed with the help of an engineering workflow. Focusing on the process step of green part production, droplet structures as intermediate products of 3D generation were described by means of droplet height, droplet circularity, the number of ambient satellite particles, as well as the associated standard deviations. First of all, the weighting of the factors influencing the droplet geometry was determined by means of single factor preliminary tests, in order to be able to reduce the number of factors to be considered in the detailed test series. The identification of key influences (falling time, needle lift, rising time, air supply pressure) permitted an optimization of the droplet geometry according to the introduced target characteristics by means of a design of experiments.
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