To create a healthier life with Additive Manufacturing
Functional Heart model which mimic human heart found in market is rare, pricey and fabricate using special material and heavy industrial machine
A functional system with compatible heart model is not fully developed to observe with different condition of heart
The current method of observing the condition of heart of the patient is by using cardio angiography method which require X-ray and CT-scan
To design and develop the functional heart model using additive manufacturing knowledge
To integrate heart model with Real 3D CardioVASS monitoring system
To investigate the physiological blood flow imaging on CardioVASS device
Developed to ensure the learning and teaching process for cardiology trainee can be executed easily
Fabricated to handle, set up, maintenance, and circuit connecting with easy procedures
Lightweight and training session can be conducted regardless of any occasion
Higher accuracy with the installation of automated control system and IoT
A system to test the functionality of 3D heart model
Full system with integration of sensors, heart model, monitoring system & IoT.
Connection of sensor in monitoring system for data acquisition from Arduino to monitoring system/Blynk App
Connection for circulation system to control the beats per minute(bpm) for the heart model pumping rate
Full System
User able to experience full functional monitoring system
User can monitor crucial parameters from mobile phones
3D heart model drawings in SOLIDWORKS
Fabrication of 3D heart model
Fused Deposition Modelling (FDM) 3D printing
Stereolithography (SLA) 3D printing
3D printing process
Removal of support
Isometric View of 3D heart model
Ansys Fluent Simulation
0% blockage
20% blockage
40% blockage
70% blockage
90 % blockage
Experimental Results
20% blockage
40% blockage
70% blockage
90% blockage
A space-efficient prototype will be developed
Short duration of fabrication of heart model is implemented
Finer quality and higher functionality of heart model in terms of flexibility and visibility is developed
Artificial Intelligence is integrated to propose solutions during training