- Parametric optimisation of friction welded 17-4 PH SS alloy using Taguchi techniques
- A machine learning approach for condition monitoring of wind turbine blade using autoregressive moving average (ARMA) features through vibration signals: a comparative study
- Predicting dispersion of radionuclides through parallel approach
- HAIWF-based fault detection and classification for industrial machine condition monitoring
- Review on effects of performance, emission and combustion characteristics of emulsified fuel in bifuel engine
- Role of non-consumable tool design on tensile properties of friction stir welded aluminium alloy joints
- Free vibration analysis of carbon nanotube reinforced composite Timoshenko beam
- Misfire detection in I.C. engine through ARMA features using machine learning approach
- Prediction of springback effect by the hybridisation of ANN with PSO in wipe bending process of sheet metal
- Computational analysis of three blade vertical axis wind turbine
- Taguchi analysis of tool wear and delamination in milling of GFRP composite using coated K10 end mill
- Experimenting with runtime and energy tradeoffs in high-performance computing
- Thermodynamic analysis of Kalina cycle configurations for utilisation of geothermal energy
- Characterisation of mechanical and tribological behaviour of hybrid fibre reinforced polymer composites
- Air compressor fault diagnosis through statistical feature extraction and random forest classifier
- Abrasion wear of cutting tool developed from recycled steel using palm kernel shell as carbon additive
1 November 2018
Special issue published: "Mechanical Engineering Science"
Progress in Industrial Ecology, An International Journal 12(1/2) 2018
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