Papers

Paper 1: Machine Learning-Based Fault Monitoring in Additive Manufacturing: Challenges and Opportunities

Paper 2: Design of a In-process Quality Monitoring Scheme for FDM-type 3D Printer using Deep Learning Algorithm

Paper 3: IoT-Enabled Predictive Maintenance in Smart Additive Manufacturing Factory

Paper 4: An Overview of Opportunities and Challenges of Edge Computing in Smart Manufacturing

Paper 5: SimuPrint: A Printing Path Simulation Tool for Additive Manufacture

Paper 6: Design and Implementation of Machine Learning-Based Fault Monitoring on a Digital Twin-Enabled System for Additive Manufacturing

Last Week's Progress

Paper 1: Submitted to IEEE RAM

Paper 2: Submitted to MDPI Sensors

Paper 3: Submitted to IEEE IoT

Paper 4: Submitted to ICTC

Paper 5: Submitted to ICTC

Paper 6: Proofreading

This Week Todo's

Paper 1: Submitted to IEEE RAM

Paper 2: Paper Accepted

Paper 3: Submitted to IEEE IoT

Paper 4: Perform Paper Revisions

Paper 5: Perform Paper Revisions

Paper 6: Testing

Project Progress

3D Printing Monitor

Last Week's Project

- Purchased items for development
- Explored Unity

This Week's Project

- Explore Machine Learning Capabilities
- Hardware Calibration

Monthly Goals

- Submit journal paper [done]
- Submit conference paper [done]

Annual Goals

- Publish journal paper
- Publish conference paper