Consortium on Deburring and Edge Finishing
Parent: Laboratory for Manufacturing and Sustainability
eScholarship stats: Breakdown by Item for September through December, 2024
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 2239m1ns | Strategies for Preventing and Minimizing Burr Formation | 245 | 150 | 95 | 61.2% |
| 7hd8r1ft | Advancing Cutting Technology | 154 | 32 | 122 | 20.8% |
| 9xg0g32g | Finite Element Modeling of Drilling Using DEFORM | 137 | 12 | 125 | 8.8% |
| 1sc2k1b8 | Burrs—Analysis, control and removal | 117 | 10 | 107 | 8.5% |
| 5bq7d5qg | Back Cutting and Tool Wear Influence on Burrs in Face Milling - Analysis and Solutions | 111 | 4 | 107 | 3.6% |
| 1cq5k23b | Development of an Analytical Model for Drilling Burr Formation in Ductile Materials | 75 | 10 | 65 | 13.3% |
| 21z1z935 | Micro Deburring Technology Using Ultrasonic Vibration with Abrasive | 75 | 7 | 68 | 9.3% |
| 603201b9 | The Effect of Dry Machining on Burr Size | 68 | 1 | 67 | 1.5% |
| 8cw4n2tf | Comparative Study of Finite Element Simulation Software | 65 | 6 | 59 | 9.2% |
| 412734jp | A Review of Burr Formation in Machining | 59 | 5 | 54 | 8.5% |
| 23z3d601 | Efficient Tool Paths and Part Orientation for Face Milling | 52 | 7 | 45 | 13.5% |
| 0838n3x9 | Micro-Burr Formation and Minimization through Process Control | 50 | 4 | 46 | 8.0% |
| 51r6b592 | A Study of Surface Roughness in the Micro-End-Milling Process | 39 | 3 | 36 | 7.7% |
| 1zr548s8 | A Wireless Sensor for Tool Temperature Measurement and its Integration within a Manufacturing System | 33 | 7 | 26 | 21.2% |
| 15v2q84k | Automated Drill Modeling for Drilling Process Simulation | 31 | 13 | 18 | 41.9% |
| 1px50107 | On The Face Milling Burr Formation Mechanisms and Minimization Strategies at High Tool Engagement | 30 | 5 | 25 | 16.7% |
| 6p80t3gc | Tool Path Planning Generation For Finish Machining of Freeform Surfaces in the Cybercut Process Planning Pipeline | 29 | 1 | 28 | 3.4% |
| 2vb4t7gq | Modeling of Inter-Layer Gap Formation in Drilling of a Multi-Layered Material | 27 | 9 | 18 | 33.3% |
| 6f30942c | Finite Element Modeling of Burr Formation in Metal Cutting | 23 | 7 | 16 | 30.4% |
| 9ks6b6dp | Strategies for Burr Minimization and Cleanability in Aerospace and Automotive Manufacturing | 23 | 3 | 20 | 13.0% |
| 4dz1b1xk | Finite Element Modeling of Burr Formation in Drilling of a Multi-Layered Material | 22 | 2 | 20 | 9.1% |
| 5d55v1d9 | Deburring of Cross-Drilled Hole Intersections by Mechanized Cutting | 22 | 2 | 20 | 9.1% |
| 4jd3w4mp | Micro-Burr Formation and Minimization Through Process Control | 21 | 7 | 14 | 33.3% |
| 60k6x64r | Challenges in Modeling Machining of Multilayer Materials | 21 | 7 | 14 | 33.3% |
| 74f6w73f | Modeling of Inter-Layer Gap Formation in Drilling of a Multi-Layered Material | 21 | 3 | 18 | 14.3% |
| 2234t3fv | Drilling Burr Control Chart -Adding a Material Property Axis | 20 | 2 | 18 | 10.0% |
| 661599t7 | Investigation of Internal Cleaning Effects in Two-Phase Gas-Liquid Flows | 20 | 2 | 18 | 10.0% |
| 5r45g44s | Review of Geometric Solutions for Milling Burr Prediction and Minimization | 19 | 4 | 15 | 21.1% |
| 75v1m1bj | Formulation of the Chip Cleanability Mechanics from Fluid Transport | 18 | 3 | 15 | 16.7% |
| 3sx2p95w | Experimental Investigation of the Influence of Machining Parameters on Chip Geometry for Enhanced Cleanability | 17 | 2 | 15 | 11.8% |
| 6hm4s582 | Influence of Exit Surface Angle on Drilling Burr Formation | 16 | 8 | 8 | 50.0% |
| 71h964p7 | Fabrication of Protruding Features in a Micro-Mold: a Planning Report | 16 | 0 | 16 | 0.0% |
| 5d53v8cw | Cleanability of Mechanical Components | 15 | 3 | 12 | 20.0% |
| 6902z9c4 | 2D Accessibility Analysis for Water Jet Cleaning | 15 | 1 | 14 | 6.7% |
| 0xn3m83s | Exit Order Sequence Burr Prediction Algorithm Based on Rectangular Coordinates | 14 | 1 | 13 | 7.1% |
| 16d7p51p | White Paper on Technical Software Integration | 14 | 4 | 10 | 28.6% |
| 1m17m8xh | An Experimental Investigation on the Influence of Process Parameters During Chip Formation | 14 | 8 | 6 | 57.1% |
| 5m0289hx | Tool Path Planning for Reconfigurable Machines | 14 | 3 | 11 | 21.4% |
| 36d27692 | Manufacturing — Its Evolution and Future | 12 | 3 | 9 | 25.0% |
| 1x04020q | Probabilistic Precision Process Planning- P4 | 10 | 1 | 9 | 10.0% |
| 835998f4 | Model of a Burr Expert System | 9 | 1 | 8 | 11.1% |
| 85w135ks | Quantifying Edge Defects in Drilled FRP Composites | 9 | 0 | 9 | 0.0% |
| 3tj8w700 | Design and Manufacturing for Cleanability in High Performance Cutting | 8 | 1 | 7 | 12.5% |
| 7g9172tz | Determining Statistically Significant Parameter Regions for Bounded Specification | 7 | 0 | 7 | 0.0% |
| 8rv3v19r | Influences on Burr Size During Face-Milling of Aluminum Alloys and Cast Iron | 7 | 1 | 6 | 14.3% |
| 6rd1h9xx | Surface and Edge Quality Variation in Precision Machining of Single Crystal and Polycrystalline Materials | 6 | 1 | 5 | 16.7% |
| 8fh6z714 | The Effect of Kinematical Parameters and Tool Geometry on Burr Height in Face Milling of Al-Si Alloys | 6 | 1 | 5 | 16.7% |
| 8zs4179t | Feasible Offset Region Based Tool Path Planning for Face Milling | 6 | 2 | 4 | 33.3% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.