Mechanical Engineering is one of the core areas of research at the Faculty of Integrated Technologies (FIT) where several FIT staff are doing non-conventional research. FIT has established well-equipped research laboratories for carrying out cutting-edge research in the below-mentioned areas of the field. The sub-areas of Mechanical Engineering such as Thermodynamics, Sustainable Energy, and Fluid Mechanics are the focus of research by the FIT staff. The other areas of Mechanical Engineering including Thermofluids, Renewable Energy, Solar Thermal Power Plants, Nanofluids, Solar Cooling, Hydrogen Production, and Techno-economic analysis are also being researched by the faculty. Several projects are currently being pursued in the domain of Mechanical Engineering, which includes Computer-Aided Engineering, Advanced Mechanical Systems, and the Thermofludic Analysis of Advanced Solar Energy Collectors.

Manufacturing is an engineering field that directly contributes to the nation’s GDP. Knowledge in manufacturing is the means to convert raw material into a functional product. The Faculty of Integrated Technologies (FIT) lays a special emphasis on creating and disseminating knowledge in manufacturing engineering through cutting-edge research in its various sub-domains. Manufacturing System Engineering is one of the three concentrations offered in the General Engineering Program of FIT. The faculty members at FIT specializing in manufacturing engineering have been investigating the fields of product design engineering, sustainable manufacturing, cryogenic machining, tribology, lubrication technology, intelligent manufacturing for tool condition monitoring, additive manufacturing, and intelligent quality monitoring and measurement in the aerospace industry. To steer in the era of Industrial Revolution 4.0 (IR 4.0), FIT has started exploring the emerging fields of intelligent robotics manufacturing and additive-subtractive hybrid manufacturing of consolidated products since 2022. The former focuses on the utilization of a multi-axis robotic arm with the automatic system adopted from artificial intelligence and deep learning methods whereas the latter brings forth the most sustainable methods of creating highly intricate shaped and consolidated products made of high-strength alloys in a single setup.

Supportive Publications

• A. Iqbal, G. Zhao, Q. Cheok, N. He, M.M. Nauman. Sustainable machining: tool life creation based on work surface quality. Processes 10 (6), art. no. 1087, 2022.
• A. Iqbal, G. Zhao, J. Zaini, N. He. Sustainable hole-making in a titanium alloy using throttle and evaporative cryogenic cooling and micro-lubrication. Journal of Manufacturing Processes 67, pp. 212-225, 2021.
• W. Caesarendra, T. Triwiyanto, V. Pandiyan, A. Glowacz, S.D.H. Permana, T. Tjahjowidodo. A CNN prediction method for belt grinding tool wear in a polishing process utilizing 3-axes force and vibration data. Electronics 10 (12), art. no. 1429, 2021.
• W. Caesarendra, T. Wijaya, T. Tjahjowidodo, B.K. Pappachan, A. Wee, M.I. Izzat. Adaptive neuro-fuzzy inference system for deburring stage classification and prediction for indirect quality monitoring. Applied Soft Computing 72, pp. 565-578, 2018.
• Muhammad Abid, Muhammad Sajid Khan, Tahir Abdul Hussain Ratlamwala, Muhammad Nauman Malik, Hafiz Muhammad Ali, Quentin Cheok. Thermodynamic analysis and comparison of different absorption cycles driven by evacuated tube solar collector utilizing hybrid nanofluids. Energy Conversion & Management. 246 (2021) 114673
• Michael Adedeji, Muhammad Abid, Mustafa Dagbasi, Humphrey Adun, Victor Adebayo. Improvement of a liquid air energy storage system: Investigation of performance analysis for novel ambient air conditioning. Journal of Energy Storage. Volume 50, June 2022, 104294