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Determining the thickness of semi-transparent thin films via reflectivity measurements based on optical properties
This study addresses the challenge of measuring deposited film thickness during semiconductor manufacturing in real-time. Accordingly, we present the...
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Repeatable test of a control valve with air pressure generated by an independent electric energy source
Water resource management is an important issue in a region where water resources are far from residential areas. Pipelines can provide a water...
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Research on tool wear prediction for milling high strength steel based on DenseNet-ResNet-GRU
Tool condition monitoring is an important basis to ensure workpiece quality and machining efficiency. It is also a key factor in improving machining...
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An improved discretization method for the prediction of milling stability
The present study introduces an improved discretization method for predicting milling stability based on the the semi-discretization method (SDM)...
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Frictional node-to-segment contact analysis based on the modified area regularization technique
Node-to-segment (NTS) contact algorithm based on the penalty method remains significant in the industry owing to its computational efficiency and...
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Wear behavior and surface roughness analysis of carbide tools with varying coating for high-speed milling of compacted graphite cast iron
With stricter emissions regulations and higher engine performance demands, the high-quality processing of Compacted graphite cast iron (CGI) for the...
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Using fuzzy C-means in selecting a suitable wavelet transform for fatigue failure analyses
This study aimed to select a suitable wavelet transform for fatigue failure analyses. Strain signals of vehicle coil spring driven on road surfaces...
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Enhancing efficiency in PCB assembly for the leading global electronics manufacturing services firm: a TRIZ and Ant Colony Optimization approach
In the dynamic landscape of Electronics Manufacturing Services (EMS), leading firms are challenged to uphold efficiency and quality in the assembly...
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A differential privacy-preserving federated learning scheme with predictive maintenance of wind turbines based on deep learning for feature compression and anomaly detection with state assessment
The transport and supply of traditional energy have been greatly affected, which has attracted the attention of countries worldwide and has become an...
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A novel method based on CNN-BiGRU and AM model for bearing fault diagnosis
This study presents an innovative fault diagnosis methodology that integrates a convolutional neural network (CNN) with a bidirectional gated...
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A novel flaw detection approach in carbon steel pipes through ultrasonic guided waves and optimized transformer neural networks
In the present study, ultrasonic guided wave testing (UGWT) is used as a nondestructive inspection technique to identify flaws in carbon steel pipe....
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Design and evaluation of a novel flexible, wear-resistant de-icing brush: a solution to road damage and wear
This study proposes a novel design of a flexible, wear-resistant de-icing brush to address the issues of significant road damage and the rapid wear...
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Effect of the base angle of an isosceles obtuse-angled trapezoidal duct of a solar air heater on fluid flow and thermal characteristics – an experimental and computational investigation
This article reports the fluid flow and thermal traits of an isosceles obtuse-angled trapezoidal solar air heater duct. Six duct variants are...
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Engineered geopolymer composites: a comprehensive state-of-the-art review on materials’ perspective
Engineered geopolymer composite (EGC) is considered an excellent innovation in imparting the high ductility to the concrete composites with 100%...
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Experimental analysis and optimization of structural parameters of cylindrical smoke detectors with covers based on the response surface method
The time for smoke gas to reach a smoke detector would depend on its structural characteristics. However, previous studies have neglected to explore...
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A multidisciplinary approach to investigate the influence of process parameters on interlayer adhesion in material extrusion additive manufacturing
This study investigates the influence of deposition conditions in material extrusion (MEX) on fracture toughness, with a specific focus on the...
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A novel image encryption scheme based on hyperchaos and random overlap** diffusion
In this paper, a new 2D discrete chaotic system is proposed, which is called two-dimensional closed-loop modulation map with infinite collapse...
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Machine learning based surface roughness assessment via CNC spindle bearing vibration
CNC Machining stands as a pivotal process for attaining precise dimensions and surface roughness in component manufacturing. Within this realm, the...
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Magnetic and microstructural properties of thin film Fe-Sb obtained by thermal evaporation of nanostructured milled powder
Nanostructured Fe 90 Sb 10 (wt.%) alloys were synthesized via mechanical alloying of pure iron and antimony powders in a high-energy planetary ball...
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Prediction of weld bead cross-sectional area in wire arc additive manufacturing using vision system integrated with machine learning approach
Wire and Arc Additive Manufacturing (WAAM) has gained as an efficient technology for the rapid manufacturing of several applications. The...
