Institution
Universiti Teknologi Petronas
Education•Ipoh, Malaysia•
About: Universiti Teknologi Petronas is a education organization based out in Ipoh, Malaysia. It is known for research contribution in the topics: Adsorption & Ionic liquid. The organization has 6127 authors who have published 11284 publications receiving 119400 citations.
Topics: Adsorption, Ionic liquid, Catalysis, Membrane, Biomass
Papers published on a yearly basis
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TL;DR: In this article, a mixed amine solvent, Stonvent-II, was used for the absorption of approximately 75 vol% CO2 in CO2-NG stream at a pressure of 10 barg.
59 citations
TL;DR: This review summarizes and compares all existing foam models approaches including Mechanistic, Semi-Empirical and Empirical and shows that Emprical models are more suitable for simulation study due to less required paramters and faster calculation.
59 citations
TL;DR: In this article, a fluidized bed bioreactor was used to grow attached microalgal biomass onto polyurethane foam support material while bioremediating the N-rich real wastewater from chemical fertilizer manufacturing industry.
59 citations
TL;DR: In this article, the authors used Response Surface Methodology (RSM) and artificial neural network (ANN) approach to predict the hardness of the surface within the investigation range, and the results indicate overall higher accuracy in the ANN method than RSM model.
Abstract: In present work, Aluminium matrix composites reinforced with x wt.% SiC (x = 5, 7.5 and 10) microparticles were synthesised by powder metallurgy route. The microhardness (VHN) of the Al/SiC composites were investigated using Response Surface Methodology (RSM) and artificial neural network (ANN) approach. Scanning electron microscopy (SEM), Energy-dispersive X-ray spectroscopy (EDS), Elemental mapping and Optical microscopy were done for the microstructural investigations. The X-ray diffraction (XRD) analysis was done for received powders and composites samples for phase recognition and existence of reinforcement particles (SiC) in the synthesised sintered composites. The design of experiments based on RSM was utilised following the central composite design method. Empirical models have been developed by considering variance analysis (ANOVA), to establish relationships among the control factors and the response variables. A feed-forward back-propagation neural network (FF-BPNN) was used to determine the qualitative characteristics of the process, and the accuracy of the BPNN system was attributed with mathematical models based on RSM model. The ANN model predicted surface hardness values are near the experimental findings. It is established that the developed models can be used to predict the hardness of the surface within the investigation range. The composite with reinforcement 7.5% revealed higher sintered density and Vickers microhardness due to the uniform distribution of filler particles in the Al matrix featuring no pores. The results indicate overall higher accuracy in the ANN method than RSM model.
59 citations
TL;DR: Thermodynamic and kinetic parameters of catalytic pyrolysis of rice hull (RH) pyrolynsis using two different types of renewable catalysts namely natural limestone and eggshells using thermogravimetric analysis (TG) approach at different heating rates in temperature range of 323-1173 K are investigated.
59 citations
Authors
Showing all 6203 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Muhammad Imran | 94 | 3053 | 51728 |
| Muhammad Shahbaz | 92 | 1001 | 34170 |
| Muhammad Farooq | 92 | 1341 | 37533 |
| Markus P. Schlaich | 74 | 472 | 25674 |
| Abdul Basit | 74 | 570 | 20078 |
| Keat Teong Lee | 71 | 276 | 16745 |
| Abdul Latif Ahmad | 68 | 490 | 22012 |
| Cor J. Peters | 52 | 262 | 9472 |
| Suzana Yusup | 52 | 437 | 8997 |
| Muhammad Nadeem | 52 | 409 | 9649 |
| Umer Rashid | 51 | 381 | 10081 |
| Hamidi Abdul Aziz | 49 | 345 | 9083 |
| Serge Palacin | 45 | 201 | 8376 |
| Muhammad Awais | 43 | 272 | 6704 |
| Zakaria Man | 43 | 245 | 5301 |