Latest Research in Additive Manufacturing Materials and Processes
19 research papers · 2026 median publication year
Top Research Topics in Additive Manufacturing Materials and Processes
- Additive Manufacturing Materials and Processes — 6 papers
- Advanced Machining and Optimization Techniques — 3 papers
- Machine Learning in Materials Science — 1 papers
- Materials Science — 1 papers
- Advanced Welding Techniques Analysis — 1 papers
- Advanced Surface Polishing Techniques — 1 papers
- Aluminum Alloy Microstructure Properties — 1 papers
- Titanium Alloys Microstructure and Properties — 1 papers
- Advanced ceramic materials synthesis — 1 papers
- Advanced Battery Technologies Research — 1 papers
Highest-Cited Papers
- Semantic segmentation and quantitative analysis of AlB 2 microstructural evolution in Al–B alloys under varied heat treatments
- Simulation-guided predictive machine learning framework for optimizing directed energy deposition of Fe-Mn alloys
- Experimental Investigation for improving the productivity, hole geometry and machined surface in EDM drilling of Ti-6Al-4V using desirability function approach (DFA)
- Taguchi-based analysis of WEDM performance of cryogenically treated and untreated Inconel 718: Surface roughness, kerf width, and material removal rate
- Selective laser melting of LM25 aluminium alloy reinforced with boron carbide and graphite for machine learning based wear prediction and microstructural characterization
- Probabilistic Deep Learning Framework for Phase Transformation Forecasting aided by In Situ High temperature Microscopy
- Detonator-assisted spot welding: A novel approach for joining dissimilar materials
- Atomic-Scale Mechanisms of Ultrasonic-Assisted Ultra-Precision Cutting of W-Mo70 Alloy: Experimental Benchmarking and Molecular Dynamics Simulation
- Closed-Loop Precision Design and Performance Validation of an Additively Manufactured Integrated Thruster
- Effects of engineered cooling based on hollow sand molds on microstructure and properties of aluminum alloy castings
- A standards-based systems engineering framework for AI-enabled in-situ monitoring in laser powder bed fusion
- Grey box modeling to predict tensile properties in laser powder bed fusion
- Smart Reverse Engineering and Predictive Process Optimization of Titanium Intermetallic Composites For Turbine Blades using Artificial Intelligence and RSM
- Experimental analysis and regression modeling of EDM performance parameters for SK2MCr4 steel using multi-variable interaction effects
- Microstructure analysis of corundum spinel material based on AI models
- Development of an AI Model for Quality Prediction and Root Cause Tracing of Cathode Materials Based on FeatureMAP Image Analysis
- Exploring the Limits of Low-Cost Metal FFF: Sintering and Porosity Effects in 316L Stainless Steel Parts
- Study on the Low-Damage Mechanism of Green ZrO2 Ceramics Under Ultrasonic Elliptical Vibration-Assisted Cutting
- Life-Cycle Assessment of a Hybrid HS-DED Manufacturing Route for Punching Dies with MMC Coatings