Advances in Manufacturing

Papers
(The H4-Index of Advances in Manufacturing is 15. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
A bioinspired path planning approach for mobile robots based on improved sparrow search algorithm94
On the application of additive manufacturing methods for auxetic structures: a review75
State-of-the-art survey on digital twin implementations64
Modeling, analysis, and optimization of dimensional accuracy of FDM-fabricated parts using definitive screening design and deep learning feedforward artificial neural network51
Thermal error modeling based on BiLSTM deep learning for CNC machine tool50
Prediction and analysis of process failures by ANN classification during wire-EDM of Inconel 71843
A comprehensive review on residual stresses in turning36
Prediction and control of surface roughness for the milling of Al/SiC metal matrix composites based on neural networks31
Porosity, cracks, and mechanical properties of additively manufactured tooling alloys: a review29
Prediction of product roughness, profile, and roundness using machine learning techniques for a hard turning process26
Application of sensor data based predictive maintenance and artificial neural networks to enable Industry 4.025
Nickel-titanium shape memory alloys made by selective laser melting: a review on process optimisation24
A novel paradigm for feedback control in LPBF: layer-wise correction for overhang structures21
Prediction of cutting power and surface quality, and optimization of cutting parameters using new inference system in high-speed milling process21
An integrated machine-process-controller model to predict milling surface topography considering vibration suppression16
Analysis and optimization of sustainable machining of AISI O1 tool steel by the wire-EDM process15
Influences of processing parameters and heat treatment on microstructure and mechanical behavior of Ti-6Al-4V fabricated using selective laser melting15
Performance evaluation of nanofluid-based minimum quantity lubrication grinding of Ni-Cr alloy under the influence of CuO nanoparticles15
Robust identification of weld seam based on region of interest operation15
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