Consortium on Deburring and Edge Finishing
Parent: Laboratory for Manufacturing and Sustainability
eScholarship stats: Breakdown by Item for December, 2024 through March, 2025
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 2239m1ns | Strategies for Preventing and Minimizing Burr Formation | 216 | 118 | 98 | 54.6% |
| 1sc2k1b8 | Burrs—Analysis, control and removal | 190 | 15 | 175 | 7.9% |
| 7hd8r1ft | Advancing Cutting Technology | 136 | 44 | 92 | 32.4% |
| 9xg0g32g | Finite Element Modeling of Drilling Using DEFORM | 117 | 8 | 109 | 6.8% |
| 5bq7d5qg | Back Cutting and Tool Wear Influence on Burrs in Face Milling - Analysis and Solutions | 116 | 9 | 107 | 7.8% |
| 1cq5k23b | Development of an Analytical Model for Drilling Burr Formation in Ductile Materials | 92 | 11 | 81 | 12.0% |
| 21z1z935 | Micro Deburring Technology Using Ultrasonic Vibration with Abrasive | 88 | 9 | 79 | 10.2% |
| 8cw4n2tf | Comparative Study of Finite Element Simulation Software | 82 | 6 | 76 | 7.3% |
| 603201b9 | The Effect of Dry Machining on Burr Size | 77 | 1 | 76 | 1.3% |
| 412734jp | A Review of Burr Formation in Machining | 71 | 15 | 56 | 21.1% |
| 23z3d601 | Efficient Tool Paths and Part Orientation for Face Milling | 53 | 4 | 49 | 7.5% |
| 6p80t3gc | Tool Path Planning Generation For Finish Machining of Freeform Surfaces in the Cybercut Process Planning Pipeline | 50 | 3 | 47 | 6.0% |
| 51r6b592 | A Study of Surface Roughness in the Micro-End-Milling Process | 46 | 3 | 43 | 6.5% |
| 1zr548s8 | A Wireless Sensor for Tool Temperature Measurement and its Integration within a Manufacturing System | 42 | 8 | 34 | 19.0% |
| 36d27692 | Manufacturing — Its Evolution and Future | 42 | 4 | 38 | 9.5% |
| 0838n3x9 | Micro-Burr Formation and Minimization through Process Control | 41 | 4 | 37 | 9.8% |
| 1px50107 | On The Face Milling Burr Formation Mechanisms and Minimization Strategies at High Tool Engagement | 41 | 6 | 35 | 14.6% |
| 661599t7 | Investigation of Internal Cleaning Effects in Two-Phase Gas-Liquid Flows | 40 | 3 | 37 | 7.5% |
| 6f30942c | Finite Element Modeling of Burr Formation in Metal Cutting | 37 | 11 | 26 | 29.7% |
| 2vb4t7gq | Modeling of Inter-Layer Gap Formation in Drilling of a Multi-Layered Material | 35 | 7 | 28 | 20.0% |
| 4jd3w4mp | Micro-Burr Formation and Minimization Through Process Control | 35 | 10 | 25 | 28.6% |
| 15v2q84k | Automated Drill Modeling for Drilling Process Simulation | 34 | 15 | 19 | 44.1% |
| 74f6w73f | Modeling of Inter-Layer Gap Formation in Drilling of a Multi-Layered Material | 34 | 10 | 24 | 29.4% |
| 6902z9c4 | 2D Accessibility Analysis for Water Jet Cleaning | 32 | 6 | 26 | 18.8% |
| 4dz1b1xk | Finite Element Modeling of Burr Formation in Drilling of a Multi-Layered Material | 31 | 3 | 28 | 9.7% |
| 2234t3fv | Drilling Burr Control Chart -Adding a Material Property Axis | 28 | 5 | 23 | 17.9% |
| 5r45g44s | Review of Geometric Solutions for Milling Burr Prediction and Minimization | 27 | 10 | 17 | 37.0% |
| 75v1m1bj | Formulation of the Chip Cleanability Mechanics from Fluid Transport | 27 | 5 | 22 | 18.5% |
| 5d55v1d9 | Deburring of Cross-Drilled Hole Intersections by Mechanized Cutting | 26 | 5 | 21 | 19.2% |
| 71h964p7 | Fabrication of Protruding Features in a Micro-Mold: a Planning Report | 26 | 5 | 21 | 19.2% |
| 60k6x64r | Challenges in Modeling Machining of Multilayer Materials | 25 | 6 | 19 | 24.0% |
| 1m17m8xh | An Experimental Investigation on the Influence of Process Parameters During Chip Formation | 24 | 10 | 14 | 41.7% |
| 9ks6b6dp | Strategies for Burr Minimization and Cleanability in Aerospace and Automotive Manufacturing | 24 | 3 | 21 | 12.5% |
| 0xn3m83s | Exit Order Sequence Burr Prediction Algorithm Based on Rectangular Coordinates | 23 | 2 | 21 | 8.7% |
| 85w135ks | Quantifying Edge Defects in Drilled FRP Composites | 23 | 4 | 19 | 17.4% |
| 5m0289hx | Tool Path Planning for Reconfigurable Machines | 22 | 5 | 17 | 22.7% |
| 6hm4s582 | Influence of Exit Surface Angle on Drilling Burr Formation | 21 | 9 | 12 | 42.9% |
| 16d7p51p | White Paper on Technical Software Integration | 19 | 4 | 15 | 21.1% |
| 3sx2p95w | Experimental Investigation of the Influence of Machining Parameters on Chip Geometry for Enhanced Cleanability | 17 | 4 | 13 | 23.5% |
| 5d53v8cw | Cleanability of Mechanical Components | 17 | 3 | 14 | 17.6% |
| 7g9172tz | Determining Statistically Significant Parameter Regions for Bounded Specification | 14 | 0 | 14 | 0.0% |
| 835998f4 | Model of a Burr Expert System | 14 | 2 | 12 | 14.3% |
| 8fh6z714 | The Effect of Kinematical Parameters and Tool Geometry on Burr Height in Face Milling of Al-Si Alloys | 14 | 6 | 8 | 42.9% |
| 8rv3v19r | Influences on Burr Size During Face-Milling of Aluminum Alloys and Cast Iron | 13 | 1 | 12 | 7.7% |
| 1x04020q | Probabilistic Precision Process Planning- P4 | 12 | 2 | 10 | 16.7% |
| 3tj8w700 | Design and Manufacturing for Cleanability in High Performance Cutting | 12 | 4 | 8 | 33.3% |
| 8zs4179t | Feasible Offset Region Based Tool Path Planning for Face Milling | 11 | 3 | 8 | 27.3% |
| 6rd1h9xx | Surface and Edge Quality Variation in Precision Machining of Single Crystal and Polycrystalline Materials | 6 | 1 | 5 | 16.7% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.