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Deteksi Keausan Pahat End Mill Mesin Freis Menggunakan Sinyal Suara

Wear is the loss of material from the surface of solid objects as a result of mechanical motion. Wear that can occur on a machine tool were flank wear and crater wear. Flank wear that occurs on a tool in this case the milling machine can make improper workmanship, damage to the machine, endanger the machine operator, and will cause a decrease in productivity. Observation of the tool condition when not working can be done by measuring using a microscope or measuring the volume of the tool, but this measurement will also reduce the level of production. A system to observe the condition of the tool and detect damage that occurs to the tool and to the working machine is needed to avoid losses that can be caused by tool wear. In this research planned tool wear detection system using a microphone as a sensor for the sound singals generated when the engine is working. The signal obtained by the microphone in analog data form is forwarded to the sound card to be converted into digital data. The sound signals were processed by FFT to transfer time domain to frequency domain. The values of magnitude obtained in cutting process with roughing parameters were -40.06 dB at the 1st cut and -37.57 dB at the 33rd cut. Magnitude that obtained in cutting process with finishing parameters were -41.9 dB at the 1st cut and -33.98 dB at the 21st cut. From whole of values, the wear of the tool can be detected.
Keywords : Milling, Flank Wear, Sound Signal, Fast Fourier Transform, Spectrogram

Ketersediaan
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Perpustakaan Universitas Riau 07 03. 120 (0017)
07 03. 120 (0017)
Tersedia
Informasi Detail
Judul Seri
-
No. Panggil
07 03. 120 (0017)
Penerbit
Pekanbaru : Universitas Riau – Fakultas Teknik – Teknik Mesin.,
Deskripsi Fisik
xi, 71 hlm.; ill.; 29 cm
Bahasa
Indonesia
ISBN/ISSN
-
Klasifikasi
07 03. 120 (0017)
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
-
Subjek
MESIN
Info Detail Spesifik
-
Pernyataan Tanggungjawab
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Tidak tersedia versi lain

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