Machine learning model to predict welding quality using air-coupled acoustic emission and weld inputs

Effect of micro-texture on fracture location in friction stir weld of Mg alloy AZ61 during tensile test

Seung Hwan C. Park, Yutaka S. Sato, Hiroyuki Kokawa · Scripta Materialia · 2003 · 393 citations

Natural Sciences, Materials Engineering, Materials Science +17

Effect of friction stir welding on microstructure, tensile and fatigue properties of the AA7005/10 vol.%Al2O3 composite

Lorella Ceschini, I. Boromei, Giangiacomo Minak et al. · Composites Science and Technology · 2006 · 246 citations

Natural Sciences, Materials Engineering, Materials Science +13

Stochastic analysis of file-swarming systems

Minghong Lin, Bin Fan, John C. S. Lui et al. · Performance Evaluation · 2007 · 125 citations

Computing, Computer Science, Computer Systems +13

Use of Machine Learning Algorithms for Weld Quality Monitoring using Acoustic Signature

A. Sumesh, K. Rameshkumar, K. Mohandas et al. · Procedia Computer Science · 2015 · 124 citations · Full text

Engineering, Industrial Engineering, Manufacturing Engineering +17

Automated control of welding penetration based on audio sensing technology

Na Lv, Yanling Xu, Sichen Li et al. · Journal of Materials Processing Technology · 2017 · 120 citations

Engineering, Industrial Engineering, Mechatronics Engineering +12