Advances in Manufacturing

Papers
(The TQCC of Advances in Manufacturing is 6. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Deformation mechanism of gallium nitride in nanometric cutting107
Mechanical properties and failure mechanisms of self-piercing riveted aluminum alloys with different edge distances101
Machine learning-based extraction of mechanical properties from multi-fidelity small punch test data81
Layout design of a mixed-flow production line based on processing energy consumption and buffer configuration46
Grain size effect on the assembly quality of micro-scaled barrel formed by microforming40
Energy-efficient buffer and service rate allocation in manufacturing systems using hybrid machine learning and evolutionary algorithms36
Effects of process parameters on periodic impact force exerting on cutting tool in ultrasonic vibration-assisted oblique turning31
Research and application of the angular rolling technology for plate mill30
Molecular dynamics study on surface formation and phase transformation in nanometric cutting of β-Sn22
Data-driven approach to predict the fatigue properties of ferrous metal materials using the cGAN and machine-learning algorithms19
Programming time-dependent behavior in 4D printing by geometric and printing parameters18
High-accuracy calibration for multi-laser powder bed fusion via in situ detection and parameter identification17
Conductive microsphere monolayers enabling highly conductive pressure-sensitive adhesive tapes for electromagnetic interference shielding17
Research on parameter identification of fracture model for titanium alloy under wide stress triaxiality based on machine learning17
Novel gripper module and method for automated assembly of miniature parts15
Quality control in multistage machining processes based on a machining error propagation event-knowledge graph15
Effect of back pressure on the grinding performance of abrasive suspension flow machining14
Coupling effect of micro-textured tools and cooling conditions on the turning performance of aluminum alloy 606114
Concept development for innovative functionally graded lattice structures to absorb desired energy and impact13
Fabrication of micro holes using low power fiber laser: surface morphology, modeling and soft-computing based optimization13
Mechanism and machinability in novel electroplastic-assisted grinding ductile iron13
Review of empowering computer-aided engineering with artificial intelligence13
Melt flow, solidification structures, and defects in 316 L steel strips produced by vertical centrifugal casting12
Exit morphology and mechanical property of FDM printed PLA: influence of hot melt extrusion process12
Development of metal-organic deposition-derived second-generation high-temperature superconductor tapes and artificial flux pinning11
Stress relaxation behavior and life prediction of 1Cr18Ni9 spring based on PSO-TCN-Attention10
Manufacturing task data chain-driven production logistics trajectory analysis and optimization decision making method10
Enhanced low-temperature toughness of laser-arc hybrid welding of Q450NQR1 high-strength weathering steel via beam oscillation10
Research on the underlying mechanism behind abrasive flow machining on micro-slit structures and simulation of viscoelastic media10
Multiconditional machining process quality prediction using deep transfer learning network10
Reconstruction method with twisting measurement and compensation for shape sensing of flexible robots9
Manufacturability and mechanical reliability study for heterogeneous integration system in display (HiSID)9
Flexible servo riveting system control strategy based on the RBF network and self-pierce riveting process8
CBN grain wear and its effects on material removal during grinding of FGH96 powder metallurgy superalloy8
Feasibility analysis and process characteristics of selective laser ablation assisted milling Inconel 7188
An integrated machine-process-controller model to predict milling surface topography considering vibration suppression8
Sensitivity analysis of near solidus forming (NSF) process with digital twin using Taguchi approach8
Study on 6-DOF active vibration-isolation system of the ultra-precision turning lathe based on GA-BP-PID control for dynamic loads8
A data-driven approach to RUL prediction of tools8
Allowance distribution and parameters optimization for high-performance machining of low rigidity parts in multistage machining processes8
·AI-enabled intelligent cockpit proactive affective interaction: middle-level feature fusion dual-branch deep learning network for driver emotion recognition8
Prediction of temperature field in machined workpiece surface during the cutting of Inconel 718 coated with surface-active media8
Surface integrity of ball burnished bioresorbable magnesium alloy7
Single-track geometrical characteristics under different energy input and mass addition in coaxial laser cladding7
Improving RSW nugget diameter prediction method: unleashing the power of multi-fidelity neural networks and transfer learning7
Prototype pipeline modelling using interval scanning point clouds6
Three-dimensional modeling and reconstructive change of residual stress during machining process of milling, polishing, heat treatment, vibratory finishing, and shot peening of fan blade6
Effect of stepover and torch tilting angle on a repair process using WAAM6
The effect of the slope angle and the magnetic field on the surface quality of nickel-based superalloys in blasting erosion arc machining6
Continuous generating grinding method for beveloid gears and analysis of grinding characteristics6
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