Design and optimisation of a digital load application system for a student's creep testing machine using simulation-based analysis

Creep testing is a fundamental pillar of materials engineering, critical for assessing the long-term mechanical behaviour of materials under constant load at elevated temperatures. This research aims to design and optimise a digital load application system for such machines. It will do so by leveraging Autodesk Inventor for Computer-Aided Design (CAD) modelling, ANSYS for finite element analysis (FEA), and MATLAB for the digital optimisation of the controls. The primary focus is on the design and control of the load application system. The study was conducted using aluminum alloys (e.g., 6061), mild steel (S355jr), and austenitic stainless steel (SS304). Testing conditions are confined to a range of 300°C to 600°C, and the system is designed and validated for tests lasting up to 100 h. The Simulink models for the three varied materials produced force and deformation responses that align with materials science principles. As expected, the control system had to exert the greatest effort to achieve the same level of deformation in stainless steel, followed by mild steel, and then aluminum. The discussion of the results confirms that the proposed digitally controlled creep testing system is a viable and superior alternative to traditional mechanical systems for educational laboratories.

Authors

Institutions

Publication Details

Journal
International Journal of Mechanical Engineering Education
Published
2026-03-17
DOI
https://doi.org/10.1177/03064190261430512
Primary Topic
Material Selection and Properties
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and optimisation of a digital load application system for a student's creep testing machine using simulation-based analysis

Kamran Hassani, Hickman Munyaradzi Chawasarira
International Journal of Mechanical Engineering Education
Material Selection and Properties
article

Design and optimisation of a digital load application system for a student's creep testing machine using simulation-based analysis

Kamran Hassani, Hickman Munyaradzi Chawasarira
article en

Abstract

Creep testing is a fundamental pillar of materials engineering, critical for assessing the long-term mechanical behaviour of materials under constant load at elevated temperatures. This research aims to design and optimise a digital load application system for such machines. It will do so by leveraging Autodesk Inventor for Computer-Aided Design (CAD) modelling, ANSYS for finite element analysis (FEA), and MATLAB for the digital optimisation of the controls. The primary focus is on the design and control of the load application system. The study was conducted using aluminum alloys (e.g., 6061), mild steel (S355jr), and austenitic stainless steel (SS304). Testing conditions are confined to a range of 300°C to 600°C, and the system is designed and validated for tests lasting up to 100 h. The Simulink models for the three varied materials produced force and deformation responses that align with materials science principles. As expected, the control system had to exert the greatest effort to achieve the same level of deformation in stainless steel, followed by mild steel, and then aluminum. The discussion of the results confirms that the proposed digitally controlled creep testing system is a viable and superior alternative to traditional mechanical systems for educational laboratories.

International Journal of Mechanical Engineering Education
University of the Witwatersrand (ZA)
Openalex Percentile: Top 20%
Material Selection and Properties
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.