Journal ArticleDOI
A neuro-genetic approach for selection of process parameters in abrasive waterjet cutting considering variation in diameter of focusing nozzle
D.S. Srinivasu,N. Ramesh Babu +1 more
- Vol. 8, Iss: 1, pp 809-819
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TLDR
A neuro-genetic approach is proposed to suggest the process parameters for maintaining the desired depth of cut in abrasive waterjet (AWJ) cutting by considering the change in diameter of focusing nozzle, i.e. for adaptive control of AWJ cutting process.Abstract:
This paper presents a neuro-genetic approach proposed to suggest the process parameters for maintaining the desired depth of cut in abrasive waterjet (AWJ) cutting by considering the change in diameter of focusing nozzle, i.e. for adaptive control of AWJ cutting process. An artificial neural network (ANN) based model is developed for prediction of depth of cut by considering the diameter of focusing nozzle along with the controllable process parameters such as water pressure, abrasive flow rate, jet traverse rate. ANN model combined with genetic algorithm (GA), i.e. neuro-genetic approach, is proposed to suggest the process parameters. Further, the merits of the proposed approach is shown by comparing the results obtained with the proposed approach to the results obtained with fuzzy-genetic approach [P.S. Chakravarthy, N. Ramesh Babu, A hybrid approach for selection of optimal process parameters in abrasive water jet cutting, Proceedings of the Institution of Mechanical Engineers, Part B: J. Eng. Manuf. 214 (2000) 781-791]. Finally, the effectiveness of the proposed approach is assessed by conducting the experiments with the suggested process parameters and comparing them with the desired results.read more
Citations
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Journal ArticleDOI
Abrasive Water Jet Machining process: A state of art of review
Yuvaraj Natarajan,Pradeep Kumar Murugesan,Mugilvalavan Mohan,Shakeel Ahmed Liyakath Ali Khan +3 more
TL;DR: In this article, the researches made on Injection type abrasive water jet (AWJ) machining process as it is widely accepted by researchers and Industries for solving various issues.
Journal ArticleDOI
Optimization of modern machining processes using advanced optimization techniques: a review
R. Venkata Rao,V. D. Kalyankar +1 more
TL;DR: Thorough literature review of various modern machining processes is presented and may become the ready information at one place and it may be very useful to the subsequent researchers to decide their direction of research.
Journal ArticleDOI
Intelligent process modeling and optimization of die-sinking electric discharge machining
Shrikrishna N. Joshi,S. S. Pande +1 more
TL;DR: The proposed integrated (FEM-ANN-GA) approach was found efficient and robust as the suggested optimum process parameters were found to give the expected optimum performance of the EDM process.
Journal ArticleDOI
Fuzzy logic for modeling machining process: a review
TL;DR: Five types of analysis on the abilities, limitations and effectual modifications of FL in modeling based on the comments from previous works that conduct experiment using FL in the modeling and review by few authors lead the author to conclude that FL is the most popular AI techniques used in modeling of machining process.
References
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