ANALISIS PENGARUH KONDISI PEMOTONGAN TERHADAP UMUR PAHAT PADA PROSES FREIS MENGGUNAKAN METODE ANN (ARTIFICIAL NEURAL NETWORKS)
Daftar Isi:
- The development of increasingly advanced technology requires an industry improve product quality with time efficiency and high accuracy. A tool life is an important data in planning a machining process. In this research, it using a tool endmill with material HSS milling process that gets to analyze the machining conditions, namely cutting speed, feeding speed, and depth feeds the tool life and obtain optimum conditions of the tool life by using artificial neural network. To get the value of tool life and tool wear (VB) on the milling machine then performed 18 times the test with three variable cutting speed, feeding, and depth of cut with Artificial Neural Network (ANN) Method. The test data obtainet by cutting speed is very influence on tool life whereas, feeding and deep of cut the less influential because of little value. Then the test result data were analyzed using artificial neural network method with 3-3-1 , analysis was done by software MATLAB error analysis found with an average percentage of 3.25 %