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Monte-Carlo Optimal Inkjet Nozzle Design

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A computational method for drop optimization for inkjet nozzle design using the Monte-Carlo method is demonstrated. To this end, a generic computational fluid dynamics (CFD) model of ink drop formation is developed as a platform for the Monte Carlo optimization. Important variables in the model are then parameterized so that they can be modified within a prescribed space. By applying the Monte-Carlo method, sensitivities of drop formation output parameters to various input parameters are studied in the context of the CFD model. Once sensitivities of drop formation to input variables are understood, the parameter space is then intelligently explored to determine a set of optimized parameters for the inkjet nozzle.

Document Type: Research Article

Publication date: January 1, 2007

More about this publication?
  • For more than 25 years, NIP has been the leading forum for discussion of advances and new directions in non-impact and digital printing technologies. A comprehensive, industry-wide conference, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems, including drop-on-demand ink jet, wide format ink jet, desktop and continuous ink jet, toner-based electrophotographic printers, production digital printing systems, and thermal printing systems, as well as the engineering capability, optimization, and science involved in these fields.

    Since 2005, NIP has been held in conjunction with the Digital Fabrication Conference.

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