Papers submitted to the 52nd North American Manufacturing Research Conference (NAMRC 52) must be prepared using the conference paper template in Microsoft Word or LATEX, and they must strictly follow the instructions in the template. NAMRC papers should only report unpublished materials of the authors, and/or be review of the state of the art. Each paper must have a speaker identified at the time of paper submission. Each paper shall consist of a minimum of 3 (Three) pages and a maximum of 12 (Twelve) pages. After review, high quality papers will be recommended to be fast-tracked to SME’s Journal of Manufacturing Systems (JMS) and Journal of Manufacturing Processes (JMP).
Every accepted paper (including the fast-track papers described above) must be presented in person at NAMRC 52 by the author or one of the co-authors. Unregistered authors (see the deadline below) and/or unpresented papers will be removed from the NAMRC 51 Proceedings in Manufacturing Letters, JMS, or JMP.
Submit Your Paper
Submission and Review Procedures
To submit your paper to NAMRC 52 please select one of the seven tracks for submission via EasyChair.
- Biomedical manufacturing systems
- Nano and micro manufacturing systems
- Modelling and simulation of complex manufacturing systems
- Computer-aided manufacturing and robotics
- Wireless sensors and sensor networks for manufacturing
- Manufacturing systems of renewable energy devices, electric vehicles, roll-to-roll fabrication
- Human factors and man-machine interactions in manufacturing
- Quality and reliability
- Mechanics, tribology and technology of material forming, powder consolidation, casting, joining and polymer and composites processing
- Dimensional and surface metrology, and part surface integrity
- Biomedical manufacturing processes
- Hybrid manufacturing processes
- Manufacturing processes of renewable energy devices, electric vehicles, roll-to-roll fabrication
- Laser-based processes
- Lightweight metals manufacturing processes
- Dynamics and control of high-precision machine tools and structures
- Technology of conventional and non-traditional materials removal processes
- Biomedical material removal processes
- Laser-based material removal processes
- Lightweight metals material removal processes
- Prediction of chip formation and tool wear
- Assessment of machined surface quality and integrity
- Material removal modelling techniques
- Lightweight and efficient structures using AM
- Fabrication of advanced material systems by AM
- Microstructure and mechanical properties of materials and structures fabricated by AM
- Embedded sensors and integrated functionalities using AM
- Bio-AM and applications of AM in medical device manufacturing
- AM as enabling technology in surface tailoring, and part repair and restoration
- Multi-scale, physics-based modelling of AM processes
- Design for AM and topology optimisation
- Next generation of AM technologies and process planning
- Cyber security
- Remote monitoring and control in cyber workspace
- Cloud-enabled CPS in production planning, control and execution
- Real-time sensing, diagnosis and prognosis for distant maintenance
- Big data analytics for manufacturing planning and control
- Industrial Internet of Things (IoT) and applications
- Industry 4.0 and Industrial Internet
- Digital Twins for industry digitisation
- Machine learning in smart manufacturing
- Industrial applications of CPS/IoT/Cloud in manufacturing environment
- Innovative manufacturing education and workforce development programs
- Innovative tools for manufacturing education
- Professional development in the manufacturing community
- Manufacturing and ABET (Accreditation Board for Engineering and Technology)
- Workforce development through federal initiatives, e.g., Manufacturing USA
- Manufacturing methods for new materials or product features
- Process monitoring, control, and traceability technologies
- Novel measurement and visualisation methods applied to manufacturing
- Predictive maintenance methods
- Digital Manufacturing
- Industrial applications in real-world environments
- Improving energy and material efficiencies of manufacturing processes and systems
- Reducing industrial resource utilization, wastes, and toxic emissions
- Recovering recycling materials and end-of-life products
- Reusing recovered/reprocessed materials and resources (circular economy)
- Redesigning next generation sustainable products and processes
- Remanufacturing
- Life cycle assessment of manufactured products and services
- Applying smart manufacturing technologies for sustainable manufacturing
- Developing novel product, process, and systems analysis metrics methods and tools for sustainability assessment (6-R initiatives)
- Policy/regulatory issues for sustainable manufacturing
- Socio-economic and health and safety issues
- Alternative materials and energy sources
NAMRC paper review will be handled by the Scientific Committee of the North American Manufacturing Research Institution of SME (NAMRI/SME). Each paper will be evaluated by at least three experts before a review decision is made.
Option for Industrial Authors
Authors from industry who cannot get permission to submit full papers, are allowed to submit an abstract for “presentation only” at NAMRC 52. For abstract submission in this case, industry authors should also use the NAMRC paper template but provide title, authors, affiliations, and abstract only. Abstracts should be submitted via EasyChair for review. However, these abstracts will NOT appear in the NAMRC 52 proceedings.
Important Deadlines
| Full paper submission | November 1, 2023 (no papers will be accepted after November 15, 2023) |
| Paper review completed | January 8, 2024 |
| Review result notification | January 29, 2024 |
| Revision submission | February 19, 2024 |
| Paper acceptance notification | March 8, 2024 |
| Final paper submission | March 25, 2024 |
| Author registration deadline | April 15, 2024 |
For general questions regarding paper submission and review, please contact the NAMRI/SME Scientific Committee Chair (Prof. Robert Gao, Robert.Gao@case.edu) or Chair-elect (Prof. Xun Xu, x.xu@auckland.ac.nz).