This
study presents an experimental investigation of wire electric discharge
machining (WEDM) for improving the process performance. The effects of
the machining parameters were investigated on the machining performance.
Adaptive neuro-fuzzy inference system (ANFIS) was applied to determine
the effect of significant parameters on WEDM performance. In addition,
ANFIS was used to predict the cutting speed, surface roughness and heat
affected zone in WEDM. The predicted cutting speed, surface roughness,
and heat affected zone were compared with measured data, and the average
prediction error for cutting speed, surface roughness, and heat
affected zone were 3.41, 3.89, and 4.1 respectively.
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Minia University
Université de Minia
Universidad de Minia
The University seeks to provide the necessary elements of continuous development to keep abreast of the rapid scientific and technological developments and improve the university performance. The University works to achieve its mission through:
• Preparing specialized technical cadres in various fields that meet the needs of the society and are required by the areas of comprehensive development.
• And provide qualified personnel in the new disciplines required by the labor market.
• Conduct scientific and applied researches and studies related to the problems of society and development programs.
• Emphasizing noble human values, deepening the value of national loyalty and preserving the original principles of society.
• Cultural and scientific ties between the university and scientific institutions and Arab and international universities and their documentation.
• Continuous development of study programs and graduate programs to cope with scientific and technological progress.