Due to persistent travel restriction related to the spread of the COVID-19 virus, the Organizing Committee has decided to host the Conference in a virtual online platform.
Further information and details will be updated soon.
The conference aim is to provide an international forum of researchers from academia and industry, to share state of the art and innovations, to discuss visions in the field of modelling of machining operations to disseminate the recent advances, views and perspectives, and thus, to generate a significant impact on the future development of machining operations.
The 18th CIRP CMMO will be organized in collaboration with the Faculty of Mechanical Engineering, University of Ljubljana. University of Ljubljana has been founded in 1919 and is the oldest and the largest higher education and scientific research institution in Slovenia. It has approximately 38,000 undergraduate and postgraduate students in 23 faculties and three arts academies and it ranks among the top 3% of universities in the world.
Prof. dr. Edvard Govekar
Asoc. Prof. dr. Franci Pušavec
Asist. Prof. dr. Rok Vrabič
- Abstract submission: September 30, 2020 extended until October 20, 2020
- Abstract acceptance notification: October 31, 2020
- Full paper submission: December 31, 2020 extended until January 15, 2021
- Paper acceptance notification: March 1, 2021 extended until March 15, 2021
- Camera-ready papers: March 22, 2021 extended until April 12, 2021
- Registration opens on: April 1, 2021
- Early-bird registration and payment deadline: May 20, 2021
- Regular registration and payment deadline: June 14, 2021
The scientific program will cover formal sessions devoted but not limited to:
- High performance and hard machining
- Empirical, numerical and analytical modelling
- Multiphysics and multiscale modelling
- Material behavior and tribological aspects in cutting
- Precision, ultra-precision and micro-machining
- Grinding, non-conventional and additive manufacturing processes
- Dynamics and stability of machining
- Monitoring, diagnostics and optimization of machining processes
- Surface integrity of machined components
- Thermal effects and part distortion
- Machining of additive-manufactured parts with complex surfaces and materials
- Artificial intelligence for modelling of machining