The quality of mechanical components depends largely on their surface roughness (Ra). The surface roughness is greatly affected by various cutting factors, the most important being feed, cutting speed and also the cutting depth. So, there are many researches dealing with this topic, some of which perform experiments on different materials to determine the value of Ra and others try to make programs to predict surface roughness to reduce time, cost and effort consumed in experiments. In this paper, a new fuzzy logic approach isintroduced to predict interstitial valuesof Ra. Data set used in fuzzy logic approach is obtained from turning of Ti-6AL-4L [14]. A Matlab toolbox is used for training of fuzzy logic approach. Predicted results using this approach show good results in comparison with experimental & theoretical onesresults using this approach show good results in comparison with experimental & theoretical ones
Elerian, F. (2020). A New Fuzzy Logic Approach for Prediction of Surface Roughness.. MEJ- Mansoura Engineering Journal, 45(3), 50-56. doi: 10.21608/bfemu.2020.118051
MLA
Fatma Abdallah Elerian. "A New Fuzzy Logic Approach for Prediction of Surface Roughness.". MEJ- Mansoura Engineering Journal, 45, 3, 2020, 50-56. doi: 10.21608/bfemu.2020.118051
HARVARD
Elerian, F. (2020). 'A New Fuzzy Logic Approach for Prediction of Surface Roughness.', MEJ- Mansoura Engineering Journal, 45(3), pp. 50-56. doi: 10.21608/bfemu.2020.118051
VANCOUVER
Elerian, F. A New Fuzzy Logic Approach for Prediction of Surface Roughness.. MEJ- Mansoura Engineering Journal, 2020; 45(3): 50-56. doi: 10.21608/bfemu.2020.118051
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