A New Approach to Quantify the Uniformity Grade of the Electrohydrodynamic Inkjet Printed Features and Optimization of Process Parameters Using Nature-Inspired Algorithms

Electrohydrodynamic (EHD) inkjet is one of the non-contact jet based promising technology to fabricate high-resolution features of functional materials with higher efficiency. Uniformity of the deposited droplets is one of the key demands of the EHD inkjet system for printing micro-features in microsensors, printed flexible electronics or various MEMS devices. In this study, a new methodology has been proposed to model the uniformity grade of the deposited droplets. In this present work, a significant improvement in the printing quality has been achieved with the help of some modern optimization methods coupled with some traditional statistical methods. Instead of a single fixed solution (may or may not be feasible), the proposed methodology suggests a feasible region with a large set of solutions. It extends the operators’ flexibility to choose from a wide range of input parameters which yield droplet depositions with higher uniformity. The proposed methodology is further evaluated with some experimental runs to fabricate discrete dots and continuous line patterns. This method is considered to be a promising and effective alternative offline approach to increase the uniformity of the droplets.

[1]  Douglas C. Montgomery,et al.  Response Surface Methodology: Process and Product Optimization Using Designed Experiments , 1995 .

[2]  Daoheng Sun,et al.  Electrohydrodynamic deposition of polymeric droplets under low-frequency pulsation. , 2011, Langmuir : the ACS journal of surfaces and colloids.

[3]  Jinjin Duan,et al.  Application of Particle Swarm Optimization Combined With Response Surface Methodology to Transverse Flux Permanent Magnet Motor Optimization , 2017, IEEE Transactions on Magnetics.

[4]  YongAn Huang,et al.  Inkjet printing for flexible electronics: Materials, processes and equipments , 2010 .

[5]  Scott C. James,et al.  A study of ejection modes for pulsed-DC electrohydrodynamic inkjet printing , 2012 .

[6]  A. Robinson,et al.  A two-phase flow pattern map for annular channels under a DC applied voltage and the application to electrohydrodynamic convective boiling analysis , 2005 .

[7]  Jungho Hwang,et al.  Drop-on-demand hybrid printing using a piezoelectric MEMS printhead at various waveforms, high voltages and jetting frequencies , 2013 .

[8]  Robert A. Millikan,et al.  Fields currents from points , 1928 .

[9]  Ji-Beom Yoo,et al.  Electrohydrodynamic micropatterning of silver ink using near-field electrohydrodynamic jet printing with tilted-outlet nozzle , 2009 .

[10]  Doyoung Byun,et al.  Pole-type ground electrode in nozzle for electrostatic field induced drop-on-demand inkjet head , 2008 .

[11]  N. Mandal,et al.  Machinability evaluation and desirability function optimization of turning parameters for Cr2O3 doped zirconia toughened alumina (Cr-ZTA) cutting insert in high speed machining of steel , 2016 .

[12]  Mohan Edirisinghe,et al.  Electrostatic atomization of a ceramic suspension at pico-flow rates , 2005 .

[13]  Michael T. Harris,et al.  Capillary electrohydrostatics of conducting drops hanging from a nozzle in an electric field , 1993 .

[14]  Akos Vertes,et al.  Order-chaos-order transitions in electrosprays: the electrified dripping faucet. , 2006, Physical review letters.

[15]  T. De Wilde,et al.  A novel ceramic printing technique based on electrostatic atomization of a suspension , 2002 .

[16]  M. Cloupeau,et al.  ELECTROHYDRODYNAMIC SPRAYING FUNCTIONING MODES - A CRITICAL-REVIEW , 1994 .

[17]  Kyung Hyun Ahn,et al.  Design optimization of ink in electrohydrodynamic jet printing: Effect of viscoelasticity on the formation of Taylor cone jet , 2016 .

[18]  Jan G. Korvink,et al.  Inkjet-based micromanufacturing , 2012 .

[19]  Dan Simon,et al.  Biogeography-Based Optimization , 2022 .

[20]  M. Ierapetritou,et al.  A kriging method for the solution of nonlinear programs with black‐box functions , 2007 .

[21]  Yi Lin,et al.  Introduction to Grey Systems Theory , 2010 .

[22]  Shibendu Shekhar Roy,et al.  Design, Development and Experimental Investigation of E-jet Based Additive Manufacturing Process , 2018 .

[23]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[24]  Hong Kyoon Choi,et al.  Scaling laws for jet pulsations associated with high-resolution electrohydrodynamic printing , 2008 .

[25]  Andrew G. Alleyne,et al.  Control of high-resolution electrohydrodynamic jet printing , 2011 .

[26]  J. Mora,et al.  The current emitted by highly conducting Taylor cones , 1994, Journal of Fluid Mechanics.

[27]  M. Edirisinghe,et al.  Characteristics of electrohydrodynamically prepared titanium dioxide films , 2007 .

[28]  Wen Feng Lu,et al.  Improving Energy Efficiency in Discrete Parts Manufacturing System Using an Ultra-Flexible Job Shop Scheduling Algorithm , 2019 .

[29]  Doyoung Byun,et al.  Drop-on-demand printing of conductive ink by electrostatic field induced inkjet head , 2008 .

[30]  Biswanath Doloi,et al.  Force prediction model of Zirconia Toughened Alumina (ZTA) inserts in hard turning of AISI 4340 steel using response surface methodology , 2012 .

[31]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[32]  Jin-Ho Kim,et al.  Design of 100W Regenerative Vehicle Suspension to Harvest Energy from Road Surfaces , 2018, International Journal of Precision Engineering and Manufacturing.

[33]  R. Collins,et al.  Electrohydrodynamic tip streaming and emission of charged drops from liquid cones , 2008 .

[34]  Xin-She Yang,et al.  Firefly Algorithms for Multimodal Optimization , 2009, SAGA.

[35]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[36]  J. Deng,et al.  Introduction to Grey system theory , 1989 .

[37]  K. Choi,et al.  Optimization of experimental parameters to determine the jetting regimes in electrohydrodynamic printing. , 2013, Langmuir : the ACS journal of surfaces and colloids.

[38]  N. Muthukrishnan,et al.  Optimization of cutting parameters for turning Al-SiC(10p) MMC using ANOVA and grey relational analysis , 2011 .

[39]  Kyung Hyun Choi,et al.  Drop-on-Demand Electrohydrodynamic Printing of High Resolution Conductive Micro Patterns for MEMS Repairing , 2018, International Journal of Precision Engineering and Manufacturing.

[40]  Hui Li,et al.  Effects of Arm Swing on Particle Trajectories in HDD Using the CFD Dynamic Mesh Method , 2017, IEEE Transactions on Magnetics.

[41]  P. M. Ferreira,et al.  High-speed and drop-on-demand printing with a pulsed electrohydrodynamic jet , 2010 .

[42]  C. Fung Manufacturing process optimization for wear property of fiber-reinforced polybutylene terephthalate composites with grey relational analysis , 2003 .

[43]  Taho Yang,et al.  The use of grey relational analysis in solving multiple attribute decision-making problems , 2008, Comput. Ind. Eng..

[44]  Mohan Kumar Pradhan,et al.  Estimating the effect of process parameters on surface integrity of EDMed AISI D2 tool steel by response surface methodology coupled with grey relational analysis , 2013 .

[45]  I. Boyaci,et al.  Modeling and optimization II: Comparison of estimation capabilities of response surface methodology with artificial neural networks in a biochemical reaction , 2007 .

[46]  Dakshina Ranjan Kisku,et al.  Modeling of EHD inkjet printing performance using soft computing-based approaches , 2019, Soft Computing.

[47]  John A Rogers,et al.  High-resolution electrohydrodynamic jet printing. , 2007, Nature materials.

[48]  Patrick J. Smith,et al.  Inkjet-Based Micromanufacturing: BALTES:ADV MICRO NANO 9 O-BK , 2012 .

[49]  J. Rogers,et al.  Mechanisms, Capabilities, and Applications of High-Resolution Electrohydrodynamic Jet Printing. , 2015, Small.

[50]  Changmin Lee,et al.  Effect of viscosity, electrical conductivity, and surface tension on direct-current-pulsed drop-on-demand electrohydrodynamic printing frequency , 2014 .

[51]  Dakshina Ranjan Kisku,et al.  Experimentation modelling and optimization of electrohydrodynamic inkjet microfabrication approach: a Taguchi regression analysis , 2019, Sādhanā.

[52]  A. Jaworek,et al.  Classification of the Modes of Ehd Spraying , 1999 .