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Tribological evaluation of refined,bleached and deodorized palm stearin using four-ball tribotester with different normal loads

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2012年第8期13卷 633-640页

作者： Chiong Ing TIONG yahya azli Mohammed Rafiq ABDUL KADIR Samion SYAHRULLAIL School of Postgraduate Studies Universiti Teknologi Malaysia81310 UTM SkudaiJohorMalaysia Faculty of Electrical Engineering Universiti Teknologi Malaysia81310 UTM SkudaiJohorMalaysia Faculty of Biomedical Engineering & Health Science Universiti Teknologi Malaysia81310 UTM SkudaiJohorMalaysia Faculty of Mechanical Engineering Universiti Teknologi Malaysia81310 UTM SkudaiJohorMalaysia

The effects of the mechanical factors with applied loads on the tribological performance of refined,bleached and deodorised(RBD) palm stearin(PS) were studied using a four-ball *** the RBD PS results were simultaneously compared with the additive-free paraffinic mineral oil(PMO).The experiments were carried out using different loads with a constant speed in order to gain a better understanding of the mechanical processes that occurred during the *** each experiment,the temperature was increased to 75 °C and was run for 1 *** a mechanical system,lubricant plays an important role in reducing wear and *** exists as a semi-solid at room temperature after the fractionation process from oil *** to the increasing rate of pollution to the environment,vegetable oil was chosen as the test lubricant with regard to its *** advantages of vegetable oil are that it is more easily harvestable and non-toxic compared to petroleum-based oil,which made it a suitable *** the experiment,RBD PS is found to have a better friction constraint reduction compared with additive-free PMO.

关键词： Palm stearin (PS) Four-ball tribotester Paraffinic mineral oil (PMO) Friction coefficient

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Tribological Testing of Hemispherical Titanium Pin Lubricated by Novel Palm Oil:Evaluating Anti-Wear and Anti-Friction Properties

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Chinese Journal of Mechanical Engineering 2017年第3期30卷 644-651页

作者： Norzahir Sapawe Syahrullail Samion Mohd Izhan Ibrahim Md Razak Daud azli yahya Muhammad Farhan Hanafi universiti kuala lumpur malaysian institute of chemical and bioengineering technologyLot 1988 Vendor CityTaboh NaningAlor Gajah78000 MelakaMalaysia faculty of mechanical engineering universiti teknologi malaysiautm johor bahru81310 JohorMalaysia politeknik tuanku sultanah bahiyah(politeknik kulim) Kulim Hi-Tech Park09000 KulimMalaysia faculty of biosciences and medical engineering universiti teknologi malaysiautm johor bahru81310 JohorMalaysia

In this study, the properties of hip implant material and lubricants were examined using a pin on disc apparatus, to compare the effect of metal-on-metal （MoM） contact with a bio-lubricant derived from palm oil. The behaviour of the lubricants was observed during the experiments, in which a hemispherical pin was loaded against a rotating disc with a groove. A titanium alloy was used to modify the hemispherical pin and disc. Before and after the experiments, the weight and surface roughness were analysed, to detect any degradation. The results were compared according to the different kinematic viscosities. The wear rates and level of friction with each lubricant were also examined. The lubricant with the highest vis- cosity had the lowest frictional value. Therefore, develop- ing suitable lubricants has the potential to prolong the lifespan of prostheses or implants used in biomedical applications. The experiments collectively show that lubricants derived from palm oil could be used as efficient bio-lubricants in the future.

关键词： Anti-wear Anti-friction Bio-lubricant Palmoil Titanium pin

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Material Removal Rate Prediction of Electrical Discharge Machining Process Using Artificial Neural Network

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Journal of Mechanics Engineering and Automation 2011年第4期1卷 298-302页

作者： azli yahya Trias Andromeda Ameruddin Baharom Arif Abd Rahim Nazriah Mahmud Department of Microelectronics Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor 81310 Malaysia

This article presents an Artificial Neural Network （ANN） architecture to model the Electrical Discharge Machining （EDM） process. It is aimed to develop the ANN model using an input-output pattern of raw data collected from an experimental of EDM process, whereas several research objectives have been outlined such as experimenting machining material for selected gap current, identifying machining parameters for ANN variables and selecting appropriate size of data selection. The experimental data （input variables） of copper-electrode and steel-workpiece is based on a selected gap current where pulse on time, pulse off time and sparking frequency have been chosen at optimum value of Material Removal Rate （MRR）. In this paper, the result has significantly demonstrated that the ANN model is capable of predicting the MRR with low percentage prediction error when compared with the experimental result.

关键词： Electrical discharge machining artificial neural network material removal rate.

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