Real-time and Wireless Tool Temperature Measurement of Friction Stir Welding (FSW)
Real-time and Wireless Tool Temperature Measurement of Friction Stir Welding (FSW)
HW: Bluetooth-integrated Arduino
Tool temperature measurement: Arduino IDE (C++)
Wireless data transmission: Arduino IDE (C++), Bluetooth Low Energy (BLE) communication
Real-time plot of FSW tool temperature: Arduino IDE (C++), Python
Web Application of In-Mold Condition-Centered and Explainable Artificial Intelligence-based Optimization (IMC-XAI) of Injection Molding
Monitoring and Data Acquisition of In-Mold Condition in Injection Molding
(@ University of Wisconsin-Madison)
Data acquisition (DAQ) HW: NI SC-2345, NI PCI-6024E, sync with molding machine (screw forward)
In-mold sensors: Strain gauge-based pressure sensor (Dynisco), Thermocouple-based mold surface temperature sensor (Kistler)
Monitoring SW: LabVIEW-based program with in-situ monitoring, cycle-by-cycle data save
Surface Defect Measurement
Photography studio: Perspective correction chart, Reference surfaces
Image processing: Python, OpenCV, Scikit-image
Warpage Measurement
Photography studio: Perspective correction chart, Ring light source
Image processing: Python, OpenCV
Gloss Transition Defects and Gloss Distribution Measurement
Photography studio: Periodic line chart, Reference specimen
Image processing: Matlab, ImageJ
Birefringence Measurement
Image processing: Python, OpenCV, Generated Michel-Lévy interference colour chart
Monitoring and Data Acquisition of In-Mold Condition in Injection Molding
(@ Ajou University)
In-mold condition data acquisition (DAQ) HW: NI cDAQ 9174 chassis with DIO and AI module, Charge amplifier (Kistler)
In-mold sensors: Piezo-type cavity pressure sensor (Kistler), Thermocouple-based ejector pin type mold surface temperature sensor
Machine data acquisition: Screw forward, Screw position, Injection pressure, Injection speed
Monitoring SW: LabVIEW-based program with in-situ monitoring, cycle-by-cycle data save
Hot Runner Sequence Valve Gating (SVG) Controller with Automatic Triggering based on Melt Front Detection (MFD)
Monitoring
DAQ HW: In-mold condition - NI cDAQ 9174 chassis with DIO and AI modules, Charge amplifier (Kistler)
In-mold sensors: Piezo-type cavity pressure sensor (Kistler), Thermocouple-based ejector pin type mold surface temperature sensor
Machine data: Screw forward, Screw position, Injection pressure, Injection speed
Valve pin position: Ultrasonic-based position sensor
Monitoring SW: LabVIEW-based program with in-situ monitoring, cycle-by-cycle data save
Control
Valve pin on/off based on melt front detection (in-mold condition) and valve pin position
Rheometer Attachment Design - UV Curing Module
Customized UV curing attachment for Anton Paar MCR Rheometers
Capable with pulsed UV setting
Rheometer Attachment Design - UV Curing Module
Customized extensional rheology fixture for Anton Paar MCR Rheometers