Advances in Manufacturing

Papers
(The TQCC of Advances in Manufacturing is 7. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Research and application of the angular rolling technology for plate mill118
Melt flow, solidification structures, and defects in 316 L steel strips produced by vertical centrifugal casting95
Research on parameter identification of fracture model for titanium alloy under wide stress triaxiality based on machine learning53
Mechanical properties and failure mechanisms of self-piercing riveted aluminum alloys with different edge distances48
Stress relaxation behavior and life prediction of 1Cr18Ni9 spring based on PSO-TCN-Attention44
Research on the underlying mechanism behind abrasive flow machining on micro-slit structures and simulation of viscoelastic media37
Feasibility analysis and process characteristics of selective laser ablation assisted milling Inconel 71835
Machine learning-assisted surrogate model for developing MIMO quantitative relationship in plastic injection molding31
Smoothing strategy for corner of small curvature radius by abrasive waterjet machining31
Surface integrity of ball burnished bioresorbable magnesium alloy24
A review of cutting chatter suppression methods20
Global optimization of process parameters for low-temperature SiNx based on orthogonal experiments20
Experimental study on the wear evolution of different PVD coated tools under milling operations of LDX2101 duplex stainless steel19
Laser welding monitoring techniques based on optical diagnosis and artificial intelligence: a review17
Proposition of atomic and close-to-atomic scale manufacturing16
Separation of fringe patterns in fast deflectometric measurement of transparent optical elements based on neural network-assisted fast iterative filtering method16
Electrochemical grinding of honeycomb seals using sodium dodecylbenzene sulfonate as an eco-friendly inhibitor: machining principle and performance evaluation16
Surface softening mechanism based on microstructure analyses under ultrasonic impact condition for Ti-17 titanium alloy16
Microscale shaping and rounding of ridge arrays and star pattern features on nickel mould via electrochemical polishing16
Surface roughness model of ultrasonic vibration-assisted grinding GCr15SiMn bearing steel and surface topography evaluation15
A maintenance driven scheduling cockpit for integrated production and maintenance operation schedule14
Enhanced cutting force model in micro-milling incorporating material separation criterion13
Correction: Mechanism and machinability in novel electroplastic‑assisted grinding ductile iron13
Anisotropy in tensile properties and fracture behaviour of 316L stainless steel parts manufactured by fused deposition modelling and sintering12
Experimental study on ultrasonic vibration-assisted grinding of quartz glass microchannel12
Predictive defect detection for prototype additive manufacturing based on multi-layer susceptibility discrimination12
Process planning and contour-based error compensation for precision grinding of miniature scalpels12
State of the art in finite element approaches for milling process: a review11
Design and realization of multiunit functional primitives based on 4D printing11
Regularization of mathematical model for chip flow angle catastrophe10
A data-driven approach for predicting the fatigue life and failure mode of self-piercing rivet joints10
Pears classification by identifying internal defects based on X-ray images and neural networks10
A multi-objective optimization based on machine learning for dimension precision of wax pattern in turbine blade manufacturing10
Deep learning methods for roping defect analysis in aluminum alloy sheets: prediction and grading9
A deformation prediction based on deep learning for sintering process of ceramic core9
Exoskeleton active assistance strategy for human muscle activation reduction during linear and circular walking9
Efficient numerical-control simulation for multi-axis machining based on three-level grids9
Study on arc behavior and droplet transfer mechanisms under complex paths8
High-accuracy calibration for multi-laser powder bed fusion via in situ detection and parameter identification8
Multi-person vision tracking approach based on human body localization features8
The development of a high-performance Ni-superalloy additively manufactured heat pipe8
Molecular dynamics study on surface formation and phase transformation in nanometric cutting of β-Sn8
Cutting performance and effectiveness evaluation on organic monolayer embrittlement in ductile metal precision machining8
A condition-based maintenance policy for reconfigurable multi-device systems8
Blockchain-enabled platform for the quality management of the ready-mixed concrete supply chain8
Precision measurement and compensation of kinematic errors for industrial robots using artifact and machine learning7
Prediction of time-varying instantaneous material removal volume with point cloud contour-filling model in milling process7
Review of empowering computer-aided engineering with artificial intelligence7
Cutting performance of saw blades with microtextured rougher and finisher sawteeth7
CBN grain wear and its effects on material removal during grinding of FGH96 powder metallurgy superalloy7
The effect of the slope angle and the magnetic field on the surface quality of nickel-based superalloys in blasting erosion arc machining7
Flexible servo riveting system control strategy based on the RBF network and self-pierce riveting process7
Simultaneous precise measurements of multiple surfaces in wavelength-tuning interferometry via parameter estimation7
·AI-enabled intelligent cockpit proactive affective interaction: middle-level feature fusion dual-branch deep learning network for driver emotion recognition7
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