Development of Prediction Model for Conductive Pattern Lines Generated Through Positive Displacement Microdispensing Sys
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RESEARCH ARTICLE-MECHANICAL ENGINEERING
Development of Prediction Model for Conductive Pattern Lines Generated Through Positive Displacement Microdispensing System Using Artificial Neural Network Muhammad Abas1 · Khawar Naeem1 · Tufail Habib1 · Imran Khan2 · Umer Farooq2 · Qazi Salman Khalid1 · Khalid Rahman3 Received: 19 November 2019 / Accepted: 2 November 2020 © King Fahd University of Petroleum & Minerals 2020
Abstract In the fabrication of electronic devices, uniform and good quality conductive printed lines are highly desirable. The goal of the present study is to develop a predictive model for conductive pattern lines produced by the microdispensing system. For this purpose, an artificial neural network (ANN) based on a feed-forward backpropagation algorithm is adopted. Input process parameters are pressure, feed rate, and standoff distance, while the output performance parameter (response) is the width of pattern lines generated through 200 µm and 500 µm nozzles diameter. The dispensing material is carbon paste having a viscosity of 30 Pa s. Best levels of process parameters are identified to achieve lower width of pattern lines based on the Taguchi signal-to-noise ratios. The identified best levels are found valid in the ranges of printing process parameters after training the neural networks. The prediction ability of ANN models is evaluated based on the leave-one-out cross-validation technique. The results showed that the proposed ANN model accomplished better results in predicting the width of pattern lines. In addition, the proposed approach is extendable to different materials with a variety of viscosities as well as to other similar printing techniques. Keywords Conductive pattern lines · Prediction model · Signal-to-noise ratios · Microdispensing system · Artificial neural networks
1 Introduction Microdispensing is one of the non-contact printing techniques which delivers on a wide range of materials to the desired substrate (planar and conformal) in a controlled manner. The system can form high resolution single and multiple layers at the micron level [1, 2]. The application ranges from dispensing of biomedical [2] to dispensing of microstructures such as planar electrodes for electronic devices like antennas [3], transistors [4], capacitors [5], and flex sensors [6], as
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Khalid Rahman [email protected]
1
Department of Industrial Engineering, University of Engineering and Technology, Peshawar, KPK 25120, Pakistan
2
Department of Mechanical Engineering, University of Engineering and Technology, Peshawar, KPK 25120, Pakistan
3
Faculty of Mechanical Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, KPK 23640, Pakistan
well as other electronic assemblies [7]. Unlike conventional electronic fabrication techniques, it eliminates complex processes such as etching and lithographic masking steps for the shaping process [6]. It is inexpensive, operationally simple, and easy to maintain. Major categories of fluid dispensing systems use various techniqu
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