Latest Research in Advanced Machining and Optimization Techniques

33 research papers · 2026 median publication year

Top Research Topics in Advanced Machining and Optimization Techniques

Highest-Cited Papers

  1. Revisiting Graphite Electrodes for Electric Arc Furnaces: Three‐Dimensional Microstructural Heterogeneity as a Design Parameter for Fracture Resistance
  2. Powder Arc Fusion (PAF): An Arc-Based Powder Bed Fusion System Concept for Low-Cost Metal Additive Manufacturing
  3. Criterion-Based Method for Evaluating Material Strength Utilizing Reference Reflexes of Electrical Potentials
  4. Integrating Powder Metallurgy with Explosive Cladding: A Novel Route for Bimetallic Copper–Steel Tube Fabrication
  5. Real-time data-driven predictive feedback control of process-state dynamics for pulsed laser deposition
  6. Enhancing DLC micro-patterning punch for micro embossing of aluminum sheets
  7. The effect of SiC particle distribution on the machining performance of a stir cast Al–SiC MMC
  8. Synergistic process optimization for strength and ductility in an Mg-Gd-Y-Zn-Zr alloy using an interpretable ensemble learning framework with data augmentation
  9. A Machine Learning Approach for Predicting Passive Current Densities for Cr-passivated Fe-based alloys as a function of Physical, Chemical and Metallurgical Conditions
  10. Effects of surface defects on flow and heat transfer in additively manufactured ellipsoidal Kelvin lattices
  11. Prediction of the properties of sintered copper-graphite composites using response surface methodology
  12. Parametric optimization in electrochemical micromachining process of beryllium copper using cryogenically treated electrodes
  13. Analytical Estimation of the Melt-like Sublayer Thickness Within the Contact Zone Between M2 Steel and C45 Steel During Dry Sliding Under High-Density Alternating Electric Current
  14. Surface roughness characterization for hygiene tissue products via contact profilometry
  15. Evaluation of Surface Roughness of Castings Made from Silica-Bentonite-Bottom Ash Mix Refractory Coatings
  16. Interpretable Machine Learning for Mechanical Property Prediction of 5Cr-0.5Mo Steel: SHAP Explainability, Multi-Model Comparison, and Uncertainty Quantification
  17. Parametric numerical analysis of anti-adhesion structural design for a bucket wheel reclaimer
  18. EDM-Induced Areal Surface Topography and Recast-Layer Characteristics of Cu-Ni-Si-Cr Alloy Ampcoloy 944
  19. Post-processing of WAAM-Inconel via sustainable-EDM with brass and copper tools
  20. Multi-Response Optimization of EDM Parameters for Complex Surface Removal of Al 6061
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L3 Region - - 2026 Sep Q3

Advanced Machining and Optimization Techniques

33 papers

Top Topics (10)

Additive Manufacturing Materials and Processes4
Hydrogen embrittlement and corrosion behaviors in metals4
Advanced Machining and Optimization Techniques4
Advanced Welding Techniques Analysis2
Aluminum Alloys Composites Properties2
Electrical Contact Performance and Analysis2
Graphite, nuclear technology, radiation studies1
Material Properties and Failure Mechanisms1
Nanofabrication and Lithography Techniques1
Advanced machining processes and optimization1

Top Publications (20)

1.Revisiting Graphite Electrodes for Electric Arc Furnaces: Three‐Dimensional Microstructural Heterogeneity as a Design Parameter for Fracture Resistance2.Powder Arc Fusion (PAF): An Arc-Based Powder Bed Fusion System Concept for Low-Cost Metal Additive Manufacturing3.Criterion-Based Method for Evaluating Material Strength Utilizing Reference Reflexes of Electrical Potentials4.Integrating Powder Metallurgy with Explosive Cladding: A Novel Route for Bimetallic Copper–Steel Tube Fabrication5.Real-time data-driven predictive feedback control of process-state dynamics for pulsed laser deposition6.Enhancing DLC micro-patterning punch for micro embossing of aluminum sheets7.The effect of SiC particle distribution on the machining performance of a stir cast Al–SiC MMC8.Synergistic process optimization for strength and ductility in an Mg-Gd-Y-Zn-Zr alloy using an interpretable ensemble learning framework with data augmentation9.A Machine Learning Approach for Predicting Passive Current Densities for Cr-passivated Fe-based alloys as a function of Physical, Chemical and Metallurgical Conditions10.Effects of surface defects on flow and heat transfer in additively manufactured ellipsoidal Kelvin lattices11.Prediction of the properties of sintered copper-graphite composites using response surface methodology12.Parametric optimization in electrochemical micromachining process of beryllium copper using cryogenically treated electrodes13.Analytical Estimation of the Melt-like Sublayer Thickness Within the Contact Zone Between M2 Steel and C45 Steel During Dry Sliding Under High-Density Alternating Electric Current14.Surface roughness characterization for hygiene tissue products via contact profilometry15.Evaluation of Surface Roughness of Castings Made from Silica-Bentonite-Bottom Ash Mix Refractory Coatings16.Interpretable Machine Learning for Mechanical Property Prediction of 5Cr-0.5Mo Steel: SHAP Explainability, Multi-Model Comparison, and Uncertainty Quantification17.Parametric numerical analysis of anti-adhesion structural design for a bucket wheel reclaimer18.EDM-Induced Areal Surface Topography and Recast-Layer Characteristics of Cu-Ni-Si-Cr Alloy Ampcoloy 94419.Post-processing of WAAM-Inconel via sustainable-EDM with brass and copper tools20.Multi-Response Optimization of EDM Parameters for Complex Surface Removal of Al 6061
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