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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.
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Document Type: Research Article

Publication date: 2007-01-01

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  • For more than 30 years, IS&T's series of digital printing conferences have been the leading forum for discussion of advances and new directions in 2D and 3D printing technologies. A comprehensive, industry-wide conference that brings together industry and academia, this meeting includes all aspects of the hardware, materials, software, images, and applications associated with digital printing systems?particularly those involved with additive manufacturing and fabrication?including bio-printing, printed electronics, page-wide, drop-on-demand, desktop and continuous ink jet, toner-based systems, and production digital printing, as well as the engineering capability, optimization, and science involved in these fields. In 2016, the conference changed its name formally to Printing for Fabrication to better reflect the content of the meeting and the evolving technology of printing.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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