Improving airflow loss through the yarn-loading slit of the air-interlacing nozzle using TRIZ

Abstract

The air-interlacing nozzle has a yarn channel, an air inlet and a yarn-loading slit. The previously investigated optimum air-interlacing nozzle was analyzed to improve the airflow loss through the slit by reducing the width of the slit and by applying TRIZ tool. TRIZ, the theory of inventive problem solving, was applied to find a solution for the airflow loss through the yarn-loading slit. The airflow inside the air-interlacing nozzle was computed using ANSYS CFX software. The computational results of the air-interlacing nozzle were evaluated by the vorticity, velocity and the airflow loss. The vorticity was increased and the airflow loss was improved slightly when the width of the slit was reduced. The yarn-loading slit is for the yarn loading into the yarn channel before the air-interlacing process. The technical contradiction of the air-interlacing nozzle was that reducing the width of the yarn-loading slit makes it difficult to load the yarn into the yarn channel. Principles 10 and 31 of TRIZ were obtained through the contradiction matrix and were applied to the nozzle. The computational results showed that the vorticity and velocity were increased and the airflow loss through the slit was improved. The air-interlacing nozzle after applying principles of TRIZ showed better results when compared numerically and experimentally with other existing nozzles.

Keywords

air-interlacing nozzle TRIZ principles of TRIZ yarn-loading slit vorticity

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References

Hua

Yoshiyuki

Shuichi

. Yarn motion in interlacers with various cross-sectional shapes of yarn duct. J Text Eng 2007; 53: 59–67.

Dopierala

Radom

Swaczyna

. Modelling of the parameters of air-flow in different construction designs of pneumatic nozzle for linking staple and filament yarns. Part I. Determining of the volume flow and local speeds of air-flow. Fibres Text East Eur 2011; 19/3: 30–36.

Versteeg

Acar

Bilgin

. Effect of geometry on the performance of intermingling nozzles. Text Res J 1999; 69: 545–551.

Chau

Liao

. Determination of yarn interlacing frequency of triangular interlacing nozzles through a compressible flow simulation. Text Res J 2008; 78: 699–709.

Rwei

Pai

Wang

. Fluid simulation of the airflow in interlacing nozzles. Text Res J 2001; 71: 630–634.

Wang

Daoping

Sun

Qingbin

Ning

Jing

. Research on knowledge base system of coal energy saving based on TRIZ theory. Procedia Eng 2012; 29: 447–451.

Padmanabhan KK. Study on increasing wind power in buildings using TRIZ Tool in urban areas. Energy and Buildings 2013; 61: 344–348.

ANSYS Workbench, CFX-Pre, CFX-Solver, CFX-Post, User’s Manual, 2009.

Menter

. Two-equation eddy-viscosity turbulence models for engineering applications. AIAA J 1994; 32: 269–289.

10.

Wilcox

. Comparison of two equation turbulence models for boundary layers with pressure gradient. AIAA J 1993; 31: 1414–1421.

11.

Juraeva

Song

Ryu

. An optimum design study of the yarn-channel shape of the air-interlacing nozzle by analysis of fluid flow. Text Res J 2012; 82: 474–483.

12.

Batchelor

. An introduction to fluid dynamics, Cambridge: Cambridge University Press, 1987.

13.

Altshuller

. 40 principles: TRIZ keys to technical innovation, Worcester, MA: Technical Innovation Center, 2002.

14.

Sarvansky DS. Engineering of creativity: introduction to TRIZ methodology of inventive problem solving. Boca Raton, Florida: CRC press LLC, 2000.

15.

CeraTrak. http://www.koreatextile.com/~ceratrak/us/index.htm.