Mohammad Ravandi

Dr. Mohammad Ravandi

Aerostructures Innovation Research (AIR) Hub, Swinburne University of Technology, Melbourne, Victoria, Australia
orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2018 in Composites Part B: Engineering
Verified
Journal Article
Open access
UKUmeyr Kureemun
Umeyr Kureemun
MRMohammad Ravandi
Mohammad Ravandi
Tran Le Quan NgocTran Le Quan Ngoc
Tran Le Quan Ngoc
WTW.S. Teo
W.S. Teo
TTT.E. Tay
T.E. Tay
HLH.P. Lee
H.P. Lee

1 May 2017 in Composites Part B: Engineering
Verified
Journal Article
Closed access
MRMohammad Ravandi
Mohammad Ravandi
WTW.S. Teo
W.S. Teo
Tran Le Quan NgocTran Le Quan Ngoc
Tran Le Quan Ngoc
MYM.S. Yong
M.S. Yong
TTT.E. Tay
T.E. Tay

1 November 2016 in Materials & Design
Verified
Journal Article
Closed access
MRMohammad Ravandi
Mohammad Ravandi
WTW.S. Teo
W.S. Teo
Tran Le Quan NgocTran Le Quan Ngoc
Tran Le Quan Ngoc
MYM.S. Yong
M.S. Yong
TTTong-Earn Tay
Tong-Earn Tay

26 July 2024 in Sensors
Verified
Journal Article
Open access
PDF file
Boon Xian ChaiBoon Xian Chai
Boon Xian Chai
MGMaheshi Gunaratne
Maheshi Gunaratne
MRMohammad Ravandi
Mohammad Ravandi
JWJinze Wang
Jinze Wang
TDTharun Dharmawickrema
Tharun Dharmawickrema
Dimitrios GeorgakopoulosDimitrios Georgakopoulos
Dimitrios Georgakopoulos
Composite materials are increasingly important in making high-performance products. However, contemporary composites manufacturing processes still encounter significant challenges that range from inherent material stochasticity to manufacturing process variabilities. This paper proposes a novel smart Industrial Internet of Things framework, which is also referred to as an Artificial Intelligence of Things (AIoT) framework for composites manufacturing. This framework improves production performance through real-time process monitoring and AI-based forecasting. It comprises three main components: (i) an array of temperature, heat flux, dielectric, and flow sensors for data acquisition from production machines and products being made, (ii) an IoT-based platform for instantaneous sensor data integration and visualisation, and (iii) an AI-based model for production process forecasting. Via these components, the framework performs real-time production process monitoring, visualisation, and prediction of future process states. This paper also presents a proof-of-concept implementation of the framework and a real-world composites manufacturing case study that showcases its benefits.

23 October 2018 in Journal of Composite Materials
Verified
Journal Article
Closed access
PDF file
MRMohammad Ravandi
Mohammad Ravandi
UKU Kureemun
U Kureemun
MBMihaela Banu
Mihaela Banu
WTWs Teo
Ws Teo
LTLiu Tong
Liu Tong
HLHp Lee
Hp Lee
This work investigates the effects of interlayer hybrid fiber dispersion on the impact response of carbon-flax epoxy hybrid laminates at low carbon volume fractions, and benchmarks the mechanical performance enhancement against the non-hybrid flax epoxy. Five hybrid laminate stacking sequences with similar carbon-to-flax weight ratio were fabricated and subjected to low-velocity impact at three different energy values, generating non-perforated and perforated damage states. A virtual drop-weight impact test that models intralaminar failure based on continuum damage mechanics approach, and delamination using cohesive elements, was also implemented to evaluate the material behavior and damage development in the composites. Simulation results were then verified against experimental data. Results suggested that positioning stiffer carbon plies at the impact face does not necessarily lead to enhancement of the hybrid's impact properties. On the contrary, flax plies at the impacted side lead to significant improvement in impact resistance compared to the non-hybrid flax composite with similar thickness. Results of finite element analysis showed that carbon plies play a significant role in the hybrid laminate's energy absorption characteristics due to lower failure strain.

1 November 2021 in Industrial Crops and Products
Verified
Journal Article
Closed access
ALAmy Langhorst
Amy Langhorst
MRMohammad Ravandi
Mohammad Ravandi
DMDebbie Mielewski
Debbie Mielewski
MBMihaela Banu
Mihaela Banu