Azli Yahya
Universiti Teknologi Malaysia
101 Papers
281 Citations
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. Previous affiliations of Azli Yahya include Loughborough University & Aligarh Muslim University.
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Papers
Predicting Material Removal Rate of Electrical Discharge Machining (EDM) using Artificial Neural Network for High I gap current
Trias Andromeda,Azli Yahya,Nor Hisham,Kamal Khalil,Ade Erawan +4 more
- 21 Jun 2011
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.
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Ion Conduction in the Ag2HgI4–Cu2HgI4Systems Doped with Cd2+, K+, and Na+
TL;DR: In this article, the authors measured the conductivities of face centered cubic Ag{sub 2}HgI{sub 4}-Cu{ sub 2} HgI-sub 4 systems doped with Cd{sup 2+}, K{sup +, and Na{sup+} ions.
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•Dissertation
Digital control of an electro discharge machining (EDM) system
Azli Yahya
- 01 Jan 2005
TL;DR: This thesis presents a model of the complete Electro Discharge Machining (EDM) system and the design and implementation of a digital controller for the servomotor control and the gap voltage and current pulse power generator.
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Ionic conductivity and dielectric constant of Tl4CdI6
TL;DR: In this article, the electrical conductivity and dielectric constant of Tl 4 CdI 6 have been measured in the temperature range 30-300 °C using the Gen Rad 1659 RLC digibridge.
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Material Removal Rate Prediction of Electrical Discharge Machining Process Using Artificial Neural Network
Azli Yahya,Trias Andromeda,Ameruddin Baharom,Arif Abd Rahim,Nazriah Mahmud +4 more
- 01 Jan 2011
TL;DR: In this article, an Artificial Neural Network (ANN) architecture was used to model the electrical discharge machining (EDM) process 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.
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