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Self-Registration Methods for Increasing Membrane Utilization within Compression-Sealed Microchannel Hemodialysers

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https://ir.library.oregonstate.edu/concern/articles/2z10ws078

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Abstract
  • More than 1.2 million people worldwide require regular hemodialysis therapy to treat end stage renal failure. Current hemodialysis systems are too expensive to support at-home hemodialysis where more frequent and longer duration treatment can lead to better patient outcomes. The key cost driver for hemodialysers is the cost of the hemodialysis membrane. Microchannel hemodialysers are smaller providing the potential to use significantly less membrane. Prior work has demonstrated the use of sealing bosses to form compression seals in microchannel hemodialysers. In this paper, estimates show that the percentage of the membrane utilized for mass transfer is highly dependent on the design and registration accuracy of adjacent blood and dialysate laminae. Efforts here focus on the development of a self-registration method to align polycarbonate laminae compatible with compression sealing schemes for membrane separation applications. Self-nesting registration methods were demonstrated with average registration accuracies of 11.4 ± 7.2 μm measured over a 50 mm scale. Analysis shows that the registration accuracy is constrained by tolerances in the embossing process. A dialysis test article was produced using the self-nesting registration method showing a measured average one-dimensional misregistration of 18.5 μm allowing a potential 41.4% of the membrane to be utilized for mass transfer when considering both microchannel and header regions. Mass transfer results provide evidence of a twofold to threefold increase in membrane utilization over other designs in the existing literature.
  • Keyword: Compression sealing, Membrane, Self-registration, Microchannel, Hemodialysis
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  • Paul, B. K., & Porter, S. D. (2014). Self-registration methods for increasing membrane utilization within compression-sealed microchannel hemodialysers. Journal of Manufacturing Processes, 16(4), 535-542. doi:10.1016/j.jmapro.2014.08.001
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  • 16
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  • 4
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  • This work was supported in part by the National Institute of Biomedical Imaging and Bioengineering (grant no. R01EB011567).
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