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To select a proper machine learning algorithm for fault predictable scheduling on a shop floor, ten algorithms in the machine learning field have been selected, implemented and compared in this research. Due to the lack of applicable real data to the authors, a data generation method is proposed...
Due to the decorative patterns of in-mould decoration (IMD) products that easily falls off and worn, the effects of injection moulding parameters on the film wear performance and the bonding strength were investigated based on the Taguchi orthogonal test method in this paper. Polyethylene...
Friction stir welding is a relatively new solid-state welding process which has several superiorities over generic welding methods. In this study, aluminium alloys (AA5083-O and AA6061-T6) are selected to investigate effects of three welding variables namely tool rotation speed, tool traverse...
This paper investigates the effectiveness of electrode coating during the micro-electro-discharge machining (micro-EDM) of a nickel-based Hastelloy X (Ni-X) using uncoated, physical vapour deposition (PVD) diamond-coated, and aluminium titanium nitride (AlTiN)-coated tungsten carbide tool...
In this investigation, the friction stir welding (FSW) parameters were optimised by integrating the finite element analysis and non-dominated sorting genetic algorithm-II. A thermo-mechanical finite element model to predict the peak temperature and flow stresses during welding were developed...
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