Dr. Amir Malakizadi

Postal addressinspire AG
Dr. Amir Malakizadi
PFA E82
Technoparkstrasse 1
CH-8005 Zürich
Schweiz
Phone+41 44 556 59 04
OfficePFA E82
Email
Websitehttp://www.inspire.ch/de/iwf
CategoryHead Machining Processes and EDM
GroupMachining Processes and EDM
Language SkillsGerman, English
Competences
  • Near 20 years of experience in modelling and simulation of manufacturing processes.
  • Docent in “Machining Science with emphasis on Tribology and Materials”, Chalmers University of Technology, 2025.
  • Extensive research and pedagogic experience: Deputy Director of Chalmers Centre for Metal Cutting Research (MCR) between 2018-2025, and the course owner and examiner of two flagship courses – Metal Cutting (MTT108) and Digital Twin of Materials Processing (IMS160) between 2020-2025.
  • Editorial board member of Wear journal and Associate Editor of Int. J. of Manufacturing Research.
Reference Projects
  • Robust post-processing of additively manufactured components (BRAVE), Eureka SMART Project (2024-2027 – Vinnova n°2023-02528).
  • A framework for the physics-based estimation of tool wear in machining process
  • (WEAR-FRAME), under the Strategic Vehicle Research and Innovation programme – FFI (2021-2025 – Vinnova n°2020-05179)
  • Digital Platform for modelling of surface integrity when machining aerospace materials (AeroCUT) – NFFP (2025-2028 – Vinnova n°2025-00466).
Publications
  • Malakizadi A, M'Saoubi R. A physics-based flow stress model for cutting simulation of additively manufactured Alloy 718. CIRP Annals. 2025.
  • Salame C, Malakizadi A. An enhanced semi-analytical estimation of tool-chip interface temperature in metal cutting. Journal of Manufacturing Processes. 2023;105:407-30.
  • Malakizadi A, Mallipeddi D, Dadbakhsh S, M'Saoubi R, Krajnik P. Post-processing of additively manufactured metallic alloys–A review. International Journal of Machine Tools and Manufacture. 2022;179:103908.
  • Malakizadi A, Hajali T, Schulz F, Cedergren S, Ålgårdh J, M'Saoubi R, Hryha E, Krajnik P. The role of microstructural characteristics of additively manufactured Alloy 718 on tool wear in machining. International Journal of Machine Tools and Manufacture. 2021;171:103814.
  • Malakizadi A, Shi B, Hoier P, Attia H, Krajnik P. Physics-based approach for predicting dissolution‒diffusion tool wear in machining. CIRP Annals. 2020;69(1):81-4.
     

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