Advances in Manufacturing

Papers
(The TQCC of Advances in Manufacturing is 8. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Mechanical properties and failure mechanisms of self-piercing riveted aluminum alloys with different edge distances84
Melt flow, solidification structures, and defects in 316 L steel strips produced by vertical centrifugal casting46
Research and application of the angular rolling technology for plate mill43
Investigation into material removal mechanism of high-volume-fraction SiCp/Al composite by fast ED milling38
RETRACTED ARTICLE: Research on parameter identification of fracture model for titanium alloy under wide stress triaxiality based on machine learning31
Smoothing strategy for corner of small curvature radius by abrasive waterjet machining28
Machine learning-assisted surrogate model for developing MIMO quantitative relationship in plastic injection molding22
Stress relaxation behavior and life prediction of 1Cr18Ni9 spring based on PSO-TCN-Attention22
Global optimization of process parameters for low-temperature SiNx based on orthogonal experiments21
Enhanced 3D Fourier ptychography with light field microscopy and neural network-driven coded illumination21
A review of cutting chatter suppression methods20
Electrochemical grinding of honeycomb seals using sodium dodecylbenzene sulfonate as an eco-friendly inhibitor: machining principle and performance evaluation20
Microscale shaping and rounding of ridge arrays and star pattern features on nickel mould via electrochemical polishing20
Proposition of atomic and close-to-atomic scale manufacturing19
Influence of volume energy density on the microstructure and properties of parts fabricated by laser powder bed fusion using recycled Ti6Al4V powder blends19
Correction: Mechanism and machinability in novel electroplastic‑assisted grinding ductile iron18
Separation of fringe patterns in fast deflectometric measurement of transparent optical elements based on neural network-assisted fast iterative filtering method18
Laser welding monitoring techniques based on optical diagnosis and artificial intelligence: a review18
Surface softening mechanism based on microstructure analyses under ultrasonic impact condition for Ti-17 titanium alloy17
Process planning and contour-based error compensation for precision grinding of miniature scalpels17
Enhanced cutting force model in micro-milling incorporating material separation criterion15
Experimental study on ultrasonic vibration-assisted grinding of quartz glass microchannel15
One-step fabrication of double-sided gradient-structured sheets by plastic flow machining with arrayed arc-sawteeth15
State of the art in finite element approaches for milling process: a review15
Lossless compression and recovery of locally dense sparse photomasks for ultraviolet lithography14
Predictive defect detection for prototype additive manufacturing based on multi-layer susceptibility discrimination14
Surface roughness model of ultrasonic vibration-assisted grinding GCr15SiMn bearing steel and surface topography evaluation14
Design and realization of multiunit functional primitives based on 4D printing13
Exoskeleton active assistance strategy for human muscle activation reduction during linear and circular walking11
A multi-objective optimization based on machine learning for dimension precision of wax pattern in turbine blade manufacturing11
The development of a high-performance Ni-superalloy additively manufactured heat pipe11
Detection of anomalous meltpool conditions using deep learning in laser powder bed fusion11
Pears classification by identifying internal defects based on X-ray images and neural networks11
Cutting performance and effectiveness evaluation on organic monolayer embrittlement in ductile metal precision machining11
A data-driven approach for predicting the fatigue life and failure mode of self-piercing rivet joints11
Study on arc behavior and droplet transfer mechanisms under complex paths10
Deep learning methods for roping defect analysis in aluminum alloy sheets: prediction and grading10
Efficient numerical-control simulation for multi-axis machining based on three-level grids10
A condition-based maintenance policy for reconfigurable multi-device systems10
Prediction of time-varying instantaneous material removal volume with point cloud contour-filling model in milling process9
A deformation prediction based on deep learning for sintering process of ceramic core9
Cutting performance of saw blades with microtextured rougher and finisher sawteeth9
Unlocking the potential of friction stir extrusion as a sole manufacturing step for producing sustainable tubes from aluminum chips9
A novel robust thermal error modeling and compensation for slant bed CNC machines tool using small dataset based feature selection9
Review of empowering computer-aided engineering with artificial intelligence9
Blockchain-enabled platform for the quality management of the ready-mixed concrete supply chain9
The effect of the slope angle and the magnetic field on the surface quality of nickel-based superalloys in blasting erosion arc machining8
Flexible modification and texture prediction and control method of internal gearing power honing tooth surface8
Simultaneous precise measurements of multiple surfaces in wavelength-tuning interferometry via parameter estimation8
CBN grain wear and its effects on material removal during grinding of FGH96 powder metallurgy superalloy8
A modified multi-mesh method for accelerating numerical simulation of flow forming8
Combined surface treatment and graphene coating strategies for enhanced performance of 3D printed ABS components8
·AI-enabled intelligent cockpit proactive affective interaction: middle-level feature fusion dual-branch deep learning network for driver emotion recognition8
Energy conversion during acoustic softening in ultrasonic vibration-assisted milling of TNM alloy8
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