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Haining Zhang,Seung Ki Moon,Teck Hui Ngo,Junjie Tou,Mohamed Ashrof Bin Mohamed Yusoff 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.21 No.1
Aerosol jet printing (AJP) technology is a relatively new 3D printing technology for producing customized microelectronic components due to its high design flexibility and fine feature deposition. However, complex interactions between machine, process parameters and materials will influence line morphology and remain a challenge on modeling effectively. And the system drift which induced by many changing and uncertain factors will affect the printing process significantly. Hence, it is necessary to develop a small data set based machine learning approach to model relationship between the process parameters and the line morphology. In this paper, we propose a rapid process modeling method for AJP process and consider sheath gas flow rate, carrier gas flow rate, stage speed as AJP process parameters, and line width and line roughness as the line morphology. Latin hypercube sampling is adopted to generate experimental points. And, Gaussian process regression (GPR) is used for modeling the AJP process because GPR has the capability of providing the prediction uncertainty in terms of variance. The experimental result shows that the proposed GPR model has competitive modeling accuracy comparing to the other regression models.
3D Printed Electronics of Non-contact Ink Writing Techniques: Status and Promise
Haining Zhang,Seung Ki Moon,Teck Hui Ngo 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.7 No.2
Non-contact ink writing techniques are a newly developed three-dimensional printing technology to fabricate customized and flexible electronic devices, while dramatically reducing chemical waste and lowering manufacturing costs. However, the use of non-contact ink writing technologies for fabricating electronics is still limited due to printing quality. To develop an electronic device with high performance, conductive lines should be printed with high controllability and excellent uniformity. Under such circumstances, many traditional optimization methods have been proposed to improve the printing quality. However, as the non-contact ink writing process is very sensitive to the system drifts and random variations, in situ process monitoring and online optimization technologies to optimize the printed line quality are in demand for practical printing. In this paper, we describe the processes of non-contact ink writing techniques based on inkjet printing (IJP) and aerosol jet printing (AJP). The key influencing factors in the non-contact ink writing processes are also discussed based on the three main printing stages. Then we analyze the advantages and disadvantages of the IJP and AJP techniques and review the state of art in quality optimization and precise control techniques that can be adopted in non-contact ink writing process. Additionally, to further develop a non-contact ink writing system, the major challenges and limitations of the current printing quality optimization technologies are also highlighted in this paper.