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Publications

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Materials Science and Technology Vol 42, pp. 998-1012 (2026)

Siddiq M Amir, , ,

Energies Vol 19 (2026)

Amir Siddiq Muhammad, , ,

International Journal of Damage Mechanics (2026)

, Souza Paul, , , , ,

Progress in Additive Manufacturing Vol 11, pp. 3125-3135 (2026)

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ASM Handbook Residual Stress Fundamentals (2025) (2025)

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Materials Chemistry and Physics Vol 344 (2025)

Professional Activities

Examiner

28/2/2024

Keynote/plenary speaker

30/8/2023

Keynote/plenary speaker

12/6/2023

Keynote/plenary speaker

23/5/2023

Speaker

12/5/2023

Examiner

30/3/2023

Projects

Huang, Jianglin (Principal Investigator) Yang, Erfu (Co-investigator) Rahimi, Salaheddin (Co-investigator)

The "AI Surrogate Modelling to Enhance the Digital Twin of Titanium Cogging" is a fully funded PhD project at the University of º£½ÇÂÛ̳, linked with the EPSRC Centre for Doctoral Training (CDT) in Materials 4.0 and the Henry Royce Institute.
The research unites physics-based modelling, machine learning, and experimental validation. It is designed to tackle the computationally intensive nature of physical simulations in heavy manufacturing.
Key aspects of this research include:
1) Digital Twin Advancement: The project develops rapid predictive models to simulate the hot forging and cogging of titanium.
2) The FutureForge Facility: The research applies these surrogate models directly to real-world data generated by the FutureForge platform, which is a pioneering hot forging research facility located at º£½ÇÂÛ̳'s Advanced Forming Research Centre (AFRC).
3) Optimization and Speed: Machine learning (surrogate) models act as fast, mathematical stand-ins for heavy Finite Element Analysis (FEA), enabling real-time decision support, microstructural prediction, and process optimization without standard computational delays.

01-Jan-2026 - 30-Jan-2030

Javadi, Yashar (Principal Investigator) MacLeod, Charles Norman (Co-investigator) Buffa, Gianluca (Co-investigator) Tamimi, Saeed (Co-investigator) Rahimi, Salaheddin (Co-investigator) Paradowska, Anna (Co-investigator) Alipooramirabad, Houman (Co-investigator)

This collaborative study between ANSTO, University of Palermo, University of º£½ÇÂÛ̳, and AFRC investigates residual stresses in aluminum components produced via WAAM and AFSD (including MELD). Using neutron diffraction and ultrasonic techniques, the project aims to characterize and compare stress profiles across processes. The findings will inform process optimization and contribute to a doctoral thesis on in-situ stress measurement in metal additive manufacturing.

10-Jan-2025 - 09-Jan-2026

Rahimi, Salaheddin (Principal Investigator) Ramachandran, Saranarayanan (Researcher) Fabris, Mathieu (Researcher) Da Silva, Laurie (Researcher)

Rolls-Royce have approached the AFRC with a request to participate in their Building Engineering capability in Titanium Alloys (BETA) project proposal, bidding in to the Aerospace Technology Institute (ATI) strategic funding programme. This proposal aims to accelerate the evaluation and exploitation of the latest titanium alloys alongside design and manufacturing processes to enable the realisation of large, ultra-high bypass ratio engines. This technology is directly aligned to the ATI strategic theme of 'Propulsion of the future - realisation of large ultra-high bypass ratio (UHBR) turbofan engines'. Project value: £600,000

01-Jan-2025 - 31-Jan-2025

Neagu, Dragos (Principal Investigator) Hamilton, Andrea (Co-investigator) Craig, Gavin (Co-investigator) Ivaturi, Aruna (Co-investigator) Zhang, Xiaolei (Co-investigator) Inglezakis, Vasileios (Co-investigator) Fletcher, Ashleigh (Co-investigator) Roy, Sudipta (Co-investigator) Massabuau, Fabien (Co-investigator) Rahimi, Salaheddin (Co-investigator) Steedman, Andrew (Co-investigator)

The project aThe instrument is a Benchtop X-Ray Diffractometer, which is a device that can analyse the structure and composition of various materials. It can provide data on crystal and molecular structure, phase identification and quantification, and crystallite size and strain. It is suitable for a wide range of inorganic and organic materials in different forms, such as powders, films, or solids. The instrument is compact, fast, easy to use, and low-cost, making it ideal for routine and high-throughput analysis. It can support research in many fields, such as materials science, engineering, chemistry, energy, and healthcare.
The instrument was acquired through an EPSRC Core Equipment fund, with an internally allocated £64k from the University of º£½ÇÂÛ̳

01-Jan-2023

Rahimi, Salaheddin (Principal Investigator)

01-Jan-2023 - 30-Jan-2023

Walker, Joseph (Post Grad Student) Javadi, Yashar (Principal Investigator) Heidari, Hadi (Co-investigator) Rahimi, Salaheddin (Co-investigator)

Residual Stress (RS) in engineering components yields unexpected and dangerous structural ‎failures, and thus ‎represents a significant challenge to quality assurance in both welding and metal ‎Additive Manufacturing ‎‎(AM) processes. As automation in welding and AM becomes increasingly ‎prevalent in the Industry 4.0 ‎manufacturing paradigm, so the importance of quantifying RS will ‎grow. In this PhD project, a novel robotic ‎ultrasonic approach to measuring such RS, in-situ, will be developed using the Phased Array Ultrasonic Testing ‎‎(PAUT) system, to automate the deployment of the ‎measurement in manufacturing applications. For the first ‎time, it will allow truly in-situ ‎measurements of RS to be undertaken at the elevated temperatures associated ‎with welding and ‎metal AM manufacture. The ambition is to use this in-situ measurement system for safety-‎critical and Industry 4.0 applications, through 5G wireless integration of the robotic system, where the ‎conventional manual and destructive methods of RS ‎measurement are not applicable for high throughput and ‎automated production lines.‎

01-Jan-2022 - 30-Jan-2026