A
Azli Yahya
Researcher at Universiti Teknologi Malaysia
Publications - 98
Citations - 1189
Azli Yahya is an academic researcher from Universiti Teknologi Malaysia. The author has contributed to research in topics: Electrical discharge machining & Machining. The author has an hindex of 11, co-authored 97 publications receiving 1115 citations. Previous affiliations of Azli Yahya include Loughborough University & Aligarh Muslim University.
Papers
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Journal ArticleDOI
Comparison Studies of Electrical Discharge Machining (EDM) Process Model for Low Gap Current
Azli Yahya,Trias Andromeda,Ade Erawan Minhat,Nor Hisham Haji Khamis,Kamal Kalil,Muhammad Arif Abdul Rahim +5 more
TL;DR: In this article, the authors compared a Dimensional Analysis (DA) model, an Artificial Neural Network (ANN) model and an experimental result for a low gap current of an Electrical Discharge Machining (EDM) process.
Journal ArticleDOI
Availability of phosphorus in a calcareous soil treated with rock phosphate or superphosphate as affected by phosphate-dissolving fungi
TL;DR: Positive and significant correlation coefficients among available P, P uptake and dry matter production at different periods of the growing season were observed following inoculation, but none of these variables were found to be significantly correlated with the fungal populations.
Journal ArticleDOI
Determination of material removal rate of an electro-discharge machine using dimensional analysis
Azli Yahya,C D Manning +1 more
TL;DR: In this article, the authors described the use of dimensional analysis in investigating the effects of the electrical and physical parameters on the material removal rate of a diesinking electro-discharge machine.
Journal ArticleDOI
Occurrence of phosphate-solubilizing bacteria in some Iraqi soils
Azli Yahya,S. K. Al-Azawi +1 more
TL;DR: Both abundance and numbers of PSB were more pronounced in descending order under vegetables, legumes, grasses, cereal and orchard trees, and the correlations between PSB counts and electrical conductivity, available phosphorus, cation-exchange capacity, soil moisture, organic matter and pH were insignificant.
Proceedings ArticleDOI
Predicting Material Removal Rate of Electrical Discharge Machining (EDM) using Artificial Neural Network for High I gap current
TL;DR: In this paper, a behavioral model is used to predict material removal rate (MRR) in electrical discharge machining (EDM) using Artificial Neural Network (ANN) using experimental data were gathered from die sinking EDM process for copper-electrode and steel-workpiece.