Incheon National UniversityMECHANICAL ENGINEERING 응용생체역학 연구실
Applied Bio-mechanics Lab
PROFESSOR
LAB
PROJECT
Namkeun Kim
Research Interest : Applied mechanics (Biomechanics)
Education
- BS : Seoul National University (2005)- MS : Stanford University(2007)- PhD : Stanford University(2012)
Contact : [email protected] (8호관 566호/+82-32-835-8868)
<Applied Bio-mechanics Lab>
8호관 B동 523호 / 032-835-4539
Researcher – MS candidates Myungjun Han
Seongho Mo
Jongwun Choi
Woonhoe Goo
Undergraduate researcher Soee Jung, Jongwoo Im
Using Software – Hyperworks / Actran / Comsol / Amira
PROJECT
Bone-conduction hearing mechanism using human 3D finite element model
What is Bone conduction?
In the human-hearing mechanisms, there are two different pathways
which are air-conduction and bone-conduction.
Through the bone conduction, the sound wave does not pass
through the middle-ear and inner ear from the sound source,
while it reaches the cochlea through the human head.
Personalized Human-middle-ear Model development
From the CT images, we develop the finite element model of the middle ear.
We considered the variation of the individual geometry of the ear.
In addition, several mechanical properties such as orthotropy and
viscoelasticity were considered to build the FE model.
Measurement of the Young’s modulus of Human Skull
In order to build a finite element model, we have to know the
mechanical properties of the components. Specifically, human
skull is the important component to determine the sound speed
in bone-conducted hearing. However, the exact Young‘s modulus
was not determined yet. We are measuring the Young’s modulus
of the human skull using a micro tensile stage, and calculating
the theoretical value of the Young’s modulus.
Modeling of the human finger for self-identification
For the purpose of self-identification, we are developing the human-finger
FE model. Corresponding to bone-conducted input through the
transducer, human finger tip shows its own unique signal according
to the individual. To clarify the theory and help to make a device,
we are developing the human-finger model composed of
mass-spring-damper mechanical systems.
A Mathematical model of a Human Cochlea
The active mechanism occurred in the human cochlea is modelled by tapered box model. Using
WKB solution, we could obtain the reasonable basilar membrane velocity considering the hair cell’s
active mechanism. In addition, the intracochlear pressure was also calculated through the model.
Object Detection from the micro CT images
In order to detect the region of interest automatically and efficiently, we are applying the deep
learning algorithm to the several micro CT image data sets. Using Faster R-CNN algorithm, we could
obtain the cochlea sections from the raw CT images. The obtained images can be reconstructed to
the 3D geometry using AMIRA software. It can be helpful to develop the FE model for individual
patients as well as medical device such as hearing aid.
Optimization for the thickness of the turbine blade
Through the FE simulation, we are optimizing the dimension of the turbine blade to perform the
best efficiency. Fluid flow is calculated through the COMSOL software according to the given
geometry. Then, the flow is applied to the blade structure. On the process, the blade geometry such
as the thickness can be optimized to show the largest rotating velocity.