Laboratory for Manufacturing and Sustainability
Parent: UC Berkeley
eScholarship stats: History by Item for March through June, 2026
| Item | Title | Total requests | 2026-06 | 2026-05 | 2026-04 | 2026-03 |
|---|---|---|---|---|---|---|
| 1sc2k1b8 | Burrs—Analysis, control and removal | 639 | 179 | 157 | 159 | 144 |
| 4hw2r7qc | Material Removal Mechanisms in Lapping and Polishing | 533 | 99 | 110 | 149 | 175 |
| 4h56k1ch | Advanced monitoring of machining operations | 531 | 119 | 184 | 123 | 105 |
| 2239m1ns | Strategies for Preventing and Minimizing Burr Formation | 485 | 120 | 135 | 130 | 100 |
| 29g1z2t6 | Wafer-Scale CMP Modeling of With-in Wafer Non-Uniformity | 407 | 99 | 99 | 126 | 83 |
| 0gv882qk | Comparing Environmental Impacts of Additive Manufacturing vs. Traditional Machining via Life-Cycle Assessment | 390 | 88 | 129 | 99 | 74 |
| 7hd8r1ft | Advancing Cutting Technology | 362 | 69 | 95 | 129 | 69 |
| 08k854nq | Development of a micro-drilling burr-control chart for PCB drilling | 343 | 62 | 88 | 72 | 121 |
| 26q3w4bc | An Environmental and Economic Trade-off Analysis of Manufacturing Process Chains to Inform Decision Making for Sustainability | 340 | 78 | 92 | 97 | 73 |
| 8260n3t5 | A Review of Engineering Research in Sustainable Manufacturing | 331 | 89 | 90 | 73 | 79 |
| 3wk862xb | Chip Scale Prediction of Nitride Erosion in High Selectivity STI CMP | 308 | 66 | 69 | 102 | 71 |
| 9xg0g32g | Finite Element Modeling of Drilling Using DEFORM | 306 | 60 | 97 | 80 | 69 |
| 4ct2n4jh | Review of Chemical-Mechanical Planarization Modeling for Integrated Circuit Fabrication: From Particle Scale to Die and Wafer Scales | 275 | 70 | 79 | 75 | 51 |
| 7xx6j4s5 | Effect of Ceria Abrasives on Planarization Efficiency in STI CMP Process | 271 | 70 | 62 | 69 | 70 |
| 80p3d1tr | Energy Use per Worker-Hour: Evaluating the Contribution of Labor to Manufacturing Energy Use | 263 | 33 | 53 | 83 | 94 |
| 8rf718jm | Recent Advances in Mechanical Micromachining | 261 | 77 | 53 | 65 | 66 |
| 6bd3c6bw | Towards Energy and Resource Efficient Manufacturing: A Processes and Systems Approach | 256 | 46 | 77 | 73 | 60 |
| 8390918m | The engineering design process as a problem solving and learning tool in K-12 classrooms | 251 | 64 | 58 | 72 | 57 |
| 4w89d0m2 | Integrated Sustainability Analysis of Atomic Layer Deposition for Microelectronics Manufacturing | 249 | 55 | 100 | 57 | 37 |
| 5tp0299m | Precision Manufacturing Process Monitoring With Acoustic Emission | 246 | 58 | 79 | 62 | 47 |
| 0zz4s5qb | Burrs-Analysis, control and removal | 237 | 35 | 94 | 71 | 37 |
| 21z1z935 | Micro Deburring Technology Using Ultrasonic Vibration with Abrasive | 232 | 65 | 61 | 50 | 56 |
| 40g995w6 | Energy Consumption Characterization and Reduction Strategies for Milling Machine Tool Use | 228 | 43 | 80 | 52 | 53 |
| 0330g886 | A Decision-Based Analysis of Compressed Air Usage Patterns in Automotive Manufacturing | 226 | 41 | 79 | 59 | 47 |
| 0n2575s1 | Material Removal Regions in Chemical Mechanical Polishing: Coupling Effects of Slurry Chemicals, Abrasive Size Distribution and Wafer-Pad Contact Area, Part 1 | 222 | 47 | 56 | 74 | 45 |
| 9nr6b6jr | Semi-empirical material removal rate distribution model for SiO<sub>2</sub> chemical mechanical polishing (CMP) processes | 215 | 37 | 62 | 53 | 63 |
| 51r6b592 | A Study of Surface Roughness in the Micro-End-Milling Process | 214 | 25 | 62 | 67 | 60 |
| 0838n3x9 | Micro-Burr Formation and Minimization through Process Control | 211 | 41 | 54 | 59 | 57 |
| 1cq5k23b | Development of an Analytical Model for Drilling Burr Formation in Ductile Materials | 211 | 57 | 68 | 61 | 25 |
| 8cw4n2tf | Comparative Study of Finite Element Simulation Software | 207 | 66 | 49 | 41 | 51 |
| 9tj3t93z | Evaluating the End-of-Life Phase of Consumer Electronics:Methods and Tools to Improve Product Design and Material Recovery | 202 | 22 | 72 | 48 | 60 |
| 15v2q84k | Automated Drill Modeling for Drilling Process Simulation | 201 | 33 | 49 | 68 | 51 |
| 2wr9b3t1 | Life-cycle assessment of NAND flash memory | 201 | 28 | 55 | 61 | 57 |
| 2jv2x7wn | Micromachining and Burr Formation for Precision Mechanical Components | 200 | 47 | 65 | 54 | 34 |
| 1px50107 | On The Face Milling Burr Formation Mechanisms and Minimization Strategies at High Tool Engagement | 199 | 36 | 56 | 57 | 50 |
| 5fj0343s | Quantifying the Improvements in Rapid Prototyping and Product Life Cycle Performance Created by Machining | 199 | 43 | 65 | 48 | 43 |
| 7931209f | A Hybrid Life Cycle Inventory of Nano-Scale Semiconductor Manufacturing | 199 | 46 | 59 | 44 | 50 |
| 12b238cd | On the Shrinkage and Stiffening of a Cellulose Sponge upon Drying | 195 | 40 | 70 | 46 | 39 |
| 00s0d8v2 | Precision Manufacturing of Imprint Rolls for the Roller Imprinting Process | 194 | 24 | 86 | 50 | 34 |
| 06r4m8j8 | Metrics for Sustainable Manufacturing | 193 | 22 | 59 | 88 | 24 |
| 9zp430wp | Review of the Impacts of Crumb Rubber in Artificial Turf Applications | 192 | 32 | 61 | 55 | 44 |
| 58r5204t | Multi-Sensor Monitoring System in Chemical Mechanical Planarization (CMP) for Correlations with Process Issues | 189 | 37 | 50 | 63 | 39 |
| 412734jp | A Review of Burr Formation in Machining | 186 | 44 | 55 | 46 | 41 |
| 6p80t3gc | Tool Path Planning Generation For Finish Machining of Freeform Surfaces in the Cybercut Process Planning Pipeline | 185 | 22 | 57 | 61 | 45 |
| 1m17m8xh | An Experimental Investigation on the Influence of Process Parameters During Chip Formation | 184 | 36 | 74 | 54 | 20 |
| 1kj2b95j | CMP Modeling as a part of Design for Manufacturing | 183 | 42 | 54 | 51 | 36 |
| 9ct6f6d2 | Environmental Analysis of Milling Machine Tool Use in Various Manufacturing Environments | 182 | 40 | 41 | 57 | 44 |
| 5bq7d5qg | Back Cutting and Tool Wear Influence on Burrs in Face Milling - Analysis and Solutions | 180 | 38 | 57 | 52 | 33 |
| 0pn4r425 | Copper CMP Modeling: Millisecond Scale Adsorption Kinetics of BTA in Glycine-Containing Solutions at pH 4 | 178 | 50 | 36 | 63 | 29 |
| 1387x8h9 | Software-based tool path evaluation for environmental sustainability | 176 | 30 | 73 | 41 | 32 |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.