Optimization of injection from IDM injector into tissue simulant by respond surface method

Name: Prachya Mukda

Organization : UbonRatchathani University. Department of Mechanical Engineering

Name: Wirapan Seehanam

Organization : UbonRatchathani University. Department of Mechanical Engineering

Email : wirapan.s@ubu.ac.th

Name: Kulachate Pianthong

Organization : UbonRatchathani University. Department of Mechanical Engineering

keyword: IDM injector

ThaSH: Tissues -- Mathematical models

; Polyacrylamide gels

; Response Surface Method

; Optimization

Abstract: Jet injectors employ high-velocity liquid jets that directly penetrate into human skin and deposit drugs in the dermal or subdermal region. It is sometimes called needle-free jet injector. Although, jet injectors have been marketed for many years, little knowledge about the interactions and dispersion of the liquid jets in the skin layer tissue skin has been revealed. Previously our research work, a new injector device which was constructed by impact driven method (IDM) or call that "IDM injector" and characteristic of jets were investigated. In this study, the optimal conditions of jet generating for more dispersion in tissue simulants are investigated by using Response Surface Method (RSM). In the experiment, polyacrylamide gel is tissue stimulant and three main factorials generate jets as the travelling distance, fluid volume and reservoir pressure. The optimization and relationships between the main factorials and one response variables being dispersion area were explored by the RSM with central composite design (CCD) of experiment design method. The results from the RSM analysis indicate that the travelling distance and fluid volume have the most significant effect on dispersion area, while the reservoir pressure is least significant. The coefficient of determination (R2) of the mathematical model is 0.9569. The optimal conditions for maximum dispersion area is obtained from the travelling distance of 5.26 mm, fluid volume of 0.18 ml and reservoir pressure of 11.90 bar. Deviation of the predicted values and experimental values is almost identical with low percentage bias of dispersion area of 1.94 percent. Therefore, the mathematical model have developed adequately describing ranges of the experimental parameters study and provide a statistically accurate prediction of optimum dispersion area of injection into polyacrylamide gels.

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2016

Modified: 2026-08-28

Issued: 2026-08-28

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BibliograpyCitation : In Chulalongkorn University Faculty of Engineering. The 7th TSME International Conference on Mechanical Engineering 2016 (TSME-ICoME7) (BME0019). Bangkok : Chulalongkorn University

eng

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