Literature DB >> 19473145

Computational evaluation of dialysis fluid flow in dialyzers with variously designed jackets.

Ken-ichiro Yamamoto1, Masato Matsuda, Ayaka Hirano, Natsuo Takizawa, Shigeto Iwashima, Taiji Yakushiji, Makoto Fukuda, Takehiro Miyasaka, Kiyotaka Sakai.   

Abstract

Dialyzer performance strongly depends on the flow of blood and dialysis fluid as well as membrane performance. It is necessary, particularly to optimize dialysis fluid flow, to develop a highly efficient dialyzer. The objective of the present study is to evaluate by computational analysis the effects of dialyzer jacket baffle structure, taper angle, and taper length on dialysis fluid flow. We modeled 10 dialyzers of varying baffle angles (0, 30, 120, 240, and 360 degrees ) with and without tapers. We also modeled 30 dialyzers of varying taper lengths (0, 12.5, 25.0, and 50.0 mm) and angles (0, 2, 4, and 6 degrees ) based on technical data of APS-SA dialyzers having varying surface areas of 0.8, 1.5, and 2.5 m(2) (Rexeed). Dialysis fluid flow velocity was calculated by the finite element method. The taper part was divided into 10 sections of varying fluid resistances. A pressure of 0 Pa was set at the dialysis fluid outlet, and a dialysis fluid flow rate of 500 mL/min at the dialysis fluid inlet. Water was used as the dialysis fluid in the computational analysis. Results for dialysis fluid flow velocity of the modeled dialyzers indicate that taper design and a fully surrounded baffle are important in making the dialysis fluid flow into a hollow-fiber bundle easily and uniformly. However, dialysis fluid flow channeling occurred particularly at the outflowing part with dialyzers having larger taper lengths and angles. Optimum design of dialysis jacket structure is essential to optimizing dialysis fluid flow and to increasing dialyzer performance.

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Year:  2009        PMID: 19473145     DOI: 10.1111/j.1525-1594.2009.00753.x

Source DB:  PubMed          Journal:  Artif Organs        ISSN: 0160-564X            Impact factor:   3.094


  8 in total

1.  Experimental evaluation of flow and dialysis performance of hollow-fiber dialyzers with different packing densities.

Authors:  Ayaka Hirano; Shoko Kida; Ken-ichiro Yamamoto; Kiyotaka Sakai
Journal:  J Artif Organs       Date:  2011-11-25       Impact factor: 1.731

2.  Effect of blood flow rate on internal filtration in a high-flux dialyzer with polysulfone membrane.

Authors:  Ryoichi Sakiyama; Isamu Ishimori; Takashi Akiba; Michio Mineshima
Journal:  J Artif Organs       Date:  2012-04-26       Impact factor: 1.731

Review 3.  Enhancing dialyser clearance-from target to development.

Authors:  Kamonwan Tangvoraphonkchai; Andrew Davenport
Journal:  Pediatr Nephrol       Date:  2017-04-12       Impact factor: 3.714

4.  Technical characterization of dialysis fluid flow and mass transfer rate in dialyzers with various filtration coefficients using dimensionless correlation equation.

Authors:  Makoto Fukuda; Kengo Yoshimura; Koki Namekawa; Kiyotaka Sakai
Journal:  J Artif Organs       Date:  2017-01-13       Impact factor: 1.731

Review 5.  Application of mathematical analysis on dialysis.

Authors:  Takehiro Miyasaka; Kiyotaka Sakai
Journal:  J Artif Organs       Date:  2022-09-10       Impact factor: 1.385

6.  Determinants of Hemodialysis Performance: Modeling Fluid and Solute Transport in Hollow-Fiber Dialyzers.

Authors:  Jian Yu; Vipul C Chitalia; Olukemi O Akintewe; Aurelie Edwards; Joyce Y Wong
Journal:  Regen Eng Transl Med       Date:  2019-11-25

7.  Effect of increasing dialysate flow rate on diffusive mass transfer of urea, phosphate and beta2-microglobulin during clinical haemodialysis.

Authors:  Jai P Bhimani; Rosemary Ouseph; Richard A Ward
Journal:  Nephrol Dial Transplant       Date:  2010-06-13       Impact factor: 5.992

8.  Is it useful to increase dialysate flow rate to improve the delivered Kt?

Authors:  Marta Albalate; Rafael Pérez-García; Patricia de Sequera; Elena Corchete; Roberto Alcazar; Mayra Ortega; Marta Puerta
Journal:  BMC Nephrol       Date:  2015-02-14       Impact factor: 2.388

  8 in total

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