Design, Development and Experimental Investigation of E-jet Based Additive Manufacturing Process

Ball, Amit Kumar; Das, Raju; Das, Debarghya; Roy, Shibendu Shekhar; Murmu, Naresh Chandra

doi:10.1016/j.matpr.2017.11.405

Cited by 11 publications

(2 citation statements)

References 29 publications

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“…The image processing technique can calculate the number of pixels, combine it with the time recorded by the camera, and then obtain the jet speed, according to the displacement time equation. The droplet diameter can also be obtained by acquiring the number of pixels in the area [26,27]. Figure 12 shows the comparison of the simulation and experimental results.…”

Section: Experimental Verificationmentioning

confidence: 99%

Performance Study of Piezoelectric Injection System Based on Finite Element Simulation

Zhao

2023

Micromachines

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This paper presents a performance prediction method for piezoelectric injection systems, based on finite element simulations. Two indexes representing the system performance are proposed: jetting velocity and droplet diameter. By combining Taguchi’s orthogonal array method and finite element simulation (FES), a finite element model of the droplet injection process, with different parameter combinations, was established. The two performance indexes, jetting velocity and droplet diameter, were accurately predicted, and their variation with time were investigated. Finally, the accuracy of the predicted results of the FES model was verified by experiments. The errors of the predicted jetting velocity and droplet diameter were 3.02% and 2.20%, respectively. It is verified that the proposed method has better reliability and robustness than the traditional method.

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Section: Experimental Verificationmentioning

confidence: 99%

Performance Study of Piezoelectric Injection System Based on Finite Element Simulation

Zhao

2023

Micromachines

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“…A desktop interface was designed using LabVIEW to integrate different hardware components. A more detailed description of the system can be found in[41].…”

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confidence: 99%

Experimentation modelling and optimization of electrohydrodynamic inkjet microfabrication approach: a Taguchi regression analysis

et al. 2019

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Electrohydrodynamic (EHD) inkjet is a modern non-contact printing approach, which uses a direct writing technology of functional materials to achieve micro/nanoscale of printing resolution. As an alternative to conventional inkjet technology, the goal of the EHD inkjet printing is to generate uniformly minimized droplets on a substrate. In this study, the effects of applied voltage, standoff height and ink flow rate on droplet diameter formation in EHD inkjet printing process were analysed using Taguchi methodology and regression analysis. Several experiments were carried out using an L 27 (3 13) orthogonal array. Based on signal to noise (S/N) ratio and mean response, optimal droplet diameter was achieved. The analysis of variance (ANOVA) was used to find the significance and percentage of contribution of each input parameter along with their interaction on the output droplet diameter. Analysis of the results revealed that the ink flow rate was the dominant factor that affected the droplet diameter mostly. The effect of the applied voltage is significant until regular ejection starts. It helps reduce droplet diameter more than five times compared with its initial droplet diameter in the absence of the electric field. A confirmation test was carried out with a 90% confidence level to illustrate the effectiveness of the Taguchi optimization method. Both linear and quadratic regression analysis were applied to predict the output droplet diameter. The predicted result from the model and actual test results are very close to each other, justifying the significance of the models. Keywords. Electrohydrodynamic (EHD) inkjet printing; design of experiments (DOE); Taguchi method; analysis of variance (ANOVA).

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Liquid Based Additive Layer Manufacturing

Kumar

2020

Additive Manufacturing Processes

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Design, Development and Experimental Investigation of E-jet Based Additive Manufacturing Process

Cited by 11 publications

References 29 publications

Performance Study of Piezoelectric Injection System Based on Finite Element Simulation

Performance Study of Piezoelectric Injection System Based on Finite Element Simulation

Experimentation modelling and optimization of electrohydrodynamic inkjet microfabrication approach: a Taguchi regression analysis

Liquid Based Additive Layer Manufacturing

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