چکیده مقاله
In recent years, the utilization of Metal Matrix Composites MMC materials in many engineering fields has undergone a tremendous increase Accordingly the need for accurate machining of composites has increased enormously However, from the knowledge acquired machining methods used for conventional metals are not suitable for the composites In the present work, the surface roughness of Al SiC MMCs has been studied by machining the composite by PCD insert 1500 grade under various machining conditions The data is collected and tested by using Artificial Neural Network ANN and Analysis of Variance ANOVA The worn out tool is also analyzed under Optical/Scanning microscope and the parameters are correlated with ANN and ANOVA The result provides useful information
کلیدواژهها
نویسندگان
N Muthukrishnan
Sri Venkateswara College ofEngineering Sriperumbudur, Tamilnadu, India – ۶۰۲۱۰۵
Sriraman S
Sri Venkateswara College ofEngineering Sriperumbudur, Tamilnadu, India – ۶۰۲۱۰۵
Dheeptha J
Sri Venkateswara College ofEngineering Sriperumbudur, Tamilnadu, India – ۶۰۲۱۰۵
K Prahaladarao
JNTU College of Engineering,Ananthapur, Andhra Pradesh, India
شیوه ارجاع
Muthukrishnan, N and S, Sriraman and J, Dheeptha and Prahaladarao, K,1384,Machinability of MMC Composites –Artificial Neural Network And Anova Analysis,01st Tehran International Congress on Manufacturing Engineering (TICME2005),Tehran
ارائهشده در
مجموعه مقالات اولین کنفرانس بین المللی و هفتمین کنفرانس ملی مهندسی ساخت و تولید1 فروردین 1384 · تهران