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Application of neuro-fuzzy models to grinding wheel parameters

Grinding is one of the most important finishing operations and it is very useful in our automobile industries. A grinding wheel is made of very small, sharp and hard abrasive particles or grits held together by strong porous bond. The paper presents, a control system for grinding process using neuro...

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Format: Article
Published: 2010
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LEADER 00000njm a2000000a 4500
001 oai:repository.ui.edu.ng:123456789/1806
042 |a dc 
720 |a Odior, A. O.  |e author 
720 |a Oyawale, F. A.  |e author 
260 |c 2010 
520 |a Grinding is one of the most important finishing operations and it is very useful in our automobile industries. A grinding wheel is made of very small, sharp and hard abrasive particles or grits held together by strong porous bond. The paper presents, a control system for grinding process using neuro-fuzzy technique. The grinding parameters include circumferential speed of a grinding segment workpiece velocity and work depth of cut. The maximum grinding temperature is very important since too high temperature will lead to surface burns and thermal damage to the grinding wheel as well as the workpiece material. For fuzzy modeling, all the numerical values are replaced with linguistic values. The research work can be applied to any other grinding process, whether it is a wet or dry grinding process. 
024 8 |a 0973-4562 
024 8 |a International Journal of Applied Engineering Research 5(16), pp. 2775-2787 
024 8 |a ui_art_odior_application_neuro-fuzzy_2010 
024 8 |a http://ir.library.ui.edu.ng/handle/123456789/1806 
245 0 0 |a Application of neuro-fuzzy models to grinding wheel parameters