Comparative Neural Network Models on Material Removal Rate and surface Roughness in Electrical Discharge Machining
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2015, Vol 14, Issue 5
Abstract
Electro-discharge machining (EDM) is increasingly being used in many industries for producing molds and dies, and machining complex shapes with material such as steel, cemented carbide, and engineering ceramics. The stochastic nature of EDM process has frustrated number of attempts to model it physically. Artificial neural networks (ANNs), as one of the most attractive branches in Artificial Intelligence (AI), has the potentiality to handle problems such as prediction of design and manufacturing cost, material removal rate (MRR), diagnosis, modeling, and adaptive control in a complex design and manufacturing systems. This paper uses Back Propagation Neural Network (BP) and Radial Basis Function (RBF) approach for prediction of material removal rate and surface roughness and presents the results of the experimental investigation. Charmilles Technology (EDM-ROBOFORM200) in he mechanical engineering department is used for machining parts. The networks have four inputs of current (I), voltage (V), Period of pulse on (Ton) and period of pulse off (Toff) as the input processes variables. Two outputs results of material removal rate (MRR) and surface roughness (Ra) as performance characteristics. In order to train the network, and capabilities of the models in predicting material removal rate and surface roughness, experimental data are employed. Then the output of MRR and Ra obtained from neural net compare with experimental results, and amount of relative error is calculated.
Authors and Affiliations
Morteza Sadegh Amalnik, M. Mirzaei, Farzad Momeni
Keywords
Related Articles
- EP ID EP650708
- DOI 10.24297/ijct.v14i5.4003
- Views 78
- Downloads 0
Novel Approach for Frequent Pattern Algorithm for Maximizing Frequent Patterns in Effective Time
The essential aspect of mining association rules is to mine the frequent patterns. Due to native difficulty it is impossible to mine complete frequent patterns from a dense database. FP-growth algorithm has been implemen...
Routing Strategies in Survivable Optical Networks
Routing and wavelength assignment problem is one of the main problem in optical networks. The foremost problem is the routing problem after which the wavelength assignment is to be decided. In this paper we have proposed...
Hajj and Umra smart mobile Application: Culture and Usability Study
Mobile technology is becoming more popular around the world. The importance of such technology relates to its capability of allowing the user of performing many different daily basis tasks. Despite the progress made in t...
History Aware Anomaly Based IDS for Cloud IaaS
Cloud Computing provides different types of services such as SaaS, PaaS, IaaS. Each of them have their own security challenges, but IaaS undertakes all types of challenges viz., network attack ,behaviour based attack,...
CRITICAL STUDY ON DATABASE AND PROMINENT PROGRAMMES
The people who work with computers, the programmers, analysts, and operators who seem to live by rules of their own and seldom leave their own environment, tend to be very cynical towards the stories of electronic brains...