Amir Malakizadi

About Amir Malakizadi

Amir Malakizadi, With an exceptional h-index of 16 and a recent h-index of 14 (since 2020), a distinguished researcher at Chalmers tekniska högskola, specializes in the field of Metal cutting, Tool Wear, Finite Element Method, Heat treatment.

His recent articles reflect a diverse array of research interests and contributions to the field:

Sensor-based identification of tool wear in turning

An enhanced semi-analytical estimation of tool-chip interface temperature in metal cutting

Machining of bi-metallic aluminium-grey cast iron engine block–process optimisation by means of FEM

A physics-based constitutive model for machining simulation of Ti-6Al-4V titanium alloy

Towards an accurate estimation of heat flux distribution in metal cutting by machine learning

Post-processing of additively manufactured metallic alloys–A review

Recent advances in modelling and simulation of surface integrity in machining–a review

An ML-based approach for inverse identification of heat flux in machining

Amir Malakizadi Information

University

Position

___

Citations(all)

808

Citations(since 2020)

628

Cited By

409

hIndex(all)

16

hIndex(since 2020)

14

i10Index(all)

18

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Amir Malakizadi Skills & Research Interests

Metal cutting

Tool Wear

Finite Element Method

Heat treatment

Top articles of Amir Malakizadi

Sensor-based identification of tool wear in turning

Procedia CIRP

2024/1/1

Amir Malakizadi
Amir Malakizadi

H-Index: 11

An enhanced semi-analytical estimation of tool-chip interface temperature in metal cutting

Journal of Manufacturing Processes

2023/11/3

Amir Malakizadi
Amir Malakizadi

H-Index: 11

Machining of bi-metallic aluminium-grey cast iron engine block–process optimisation by means of FEM

Procedia CIRP

2023/1/1

Amir Malakizadi
Amir Malakizadi

H-Index: 11

Lars Nyborg
Lars Nyborg

H-Index: 23

A physics-based constitutive model for machining simulation of Ti-6Al-4V titanium alloy

Procedia CIRP

2023/1/1

Amir Malakizadi
Amir Malakizadi

H-Index: 11

Sebastian Berger
Sebastian Berger

H-Index: 5

Towards an accurate estimation of heat flux distribution in metal cutting by machine learning

Procedia CIRP

2023/1/1

Amir Malakizadi
Amir Malakizadi

H-Index: 11

Ragnar Larsson
Ragnar Larsson

H-Index: 13

Post-processing of additively manufactured metallic alloys–A review

2022/8/1

Recent advances in modelling and simulation of surface integrity in machining–a review

Procedia CIRP

2022/11

An ML-based approach for inverse identification of heat flux in machining

Procedia CIRP

2022/1/1

Amir Malakizadi
Amir Malakizadi

H-Index: 11

Ragnar Larsson
Ragnar Larsson

H-Index: 13

Influence of batch-to-batch material variations on grindability of a medium‑carbon steel

Journal of Manufacturing Processes

2022/1/1

The role of microstructural characteristics of additively manufactured Alloy 718 on tool wear in machining

International Journal of Machine Tools and Manufacture

2021/12/1

A thermomechanically motivated approach for identification of flow stress properties in metal cutting

The International Journal of Advanced Manufacturing Technology

2020/11

FE modeling and simulation of machining Alloy 718 based on ductile continuum damage

International Journal of Mechanical Sciences

2020/4/1

Physics-based approach for predicting dissolution‒diffusion tool wear in machining

CIRP Annals

2020/1/1

See List of Professors in Amir Malakizadi University(Chalmers tekniska högskola)

Co-Authors

academic-engine