Tool condition monitoring of friction drilling process using adaptive neuro-fuzzy inference system
Friction drilling is a new progressive hole-making method. The interaction of the rotating conical tool and the thin workpiece produces heat allowing penetration of the tool and soften the work-piece forming a hole and bush in one process. The process is environmentally friendly since bush formation...
Saved in:
主要作者: | Abdul Mutalib, Mohd Zurrayen |
---|---|
格式: | Thesis |
語言: | English |
出版: |
2021
|
主題: | |
在線閱讀: | http://psasir.upm.edu.my/id/eprint/106006/1/FK%202021%20107%20-%20IR.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Experimental and numerical investigation on friction drilling of difficult-to-machine materials
由: Dehghan, Shayan
出版: (2019) -
The effect of vibration on metal removal rate and tool wear rate for small hole electrical discharge drilling /
由: Sriani, Tutik
出版: (2008) -
Artificial neural networks and adaptive neuro-fuzzy inference systems for structural damage identification using vibration data /
由: Seyed Jamalaldin Syed Hakim
出版: (2015) -
Prestasi perkakasan pemotong karbida pelbagai lapisan salutan CVD dalam pengisaran kering keluli perkakas terkeras /
由: Goh, Joo Hua
出版: (2002) -
Penilaian prestasi penggerudian mesin kawalan berangka menggunakan isyarat pecutan-zarah-udara /
由: Muhammad Dirhamsyah
出版: (2003)