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CIRP CMMO 2021
18th CIRP Conference

We are pleased to invite you to the 18th CIRP Conference on Modelling of Machining Operations (CIRP CMMO), which will be held on June 15-17, 2021 in Ljubljana, Slovenia, EU.

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 GovekarChairman
Prof. dr. Edvard Govekar

Asoc. Prof. dr. Franci PušavecCo-Chairman
Asoc. Prof. dr. Franci Pušavec

Asist. Prof. dr. Rok VrabičCo-Chairman
Asist. Prof. dr. Rok Vrabič

Important dates

  • Abstract submission: September 30, 2020 extended to October 20, 2020
  • Abstract acceptance notification: October 31, 2020
  • Full paper submission: December 31, 2020
  • Paper acceptance notification: March 1, 2021
  • Camera-ready papers: March 22, 2021

Topics

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
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