Green Manufacturing and Sustainable Manufacturing Partnership
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 |
---|---|---|---|---|---|
0gv882qk | Comparing Environmental Impacts of Additive Manufacturing vs. Traditional Machining via Life-Cycle Assessment | 197 | 85 | 112 | 43.1% |
6bd3c6bw | Towards Energy and Resource Efficient Manufacturing: A Processes and Systems Approach | 179 | 158 | 21 | 88.3% |
8260n3t5 | A Review of Engineering Research in Sustainable Manufacturing | 173 | 52 | 121 | 30.1% |
6bt786nf | Environmental Assessment and Metrics for Solar: Case Study of SolFocus Solar Concentrator Systems | 168 | 10 | 158 | 6.0% |
5fw407kf | Greenhouse Gas Return on Investment: A New Metric for Energy Technology | 133 | 4 | 129 | 3.0% |
9ct6f6d2 | Environmental Analysis of Milling Machine Tool Use in Various Manufacturing Environments | 133 | 11 | 122 | 8.3% |
8390918m | The engineering design process as a problem solving and learning tool in K-12 classrooms | 132 | 75 | 57 | 56.8% |
55z9v0f2 | Ecological Footprint Budgeting: Environmental Analysis of the Generic American Car | 124 | 3 | 121 | 2.4% |
80p3d1tr | Energy Use per Worker-Hour: Evaluating the Contribution of Labor to Manufacturing Energy Use | 110 | 4 | 106 | 3.6% |
9zp430wp | Review of the Impacts of Crumb Rubber in Artificial Turf Applications | 97 | 63 | 34 | 64.9% |
5gz7j6rn | Machine Tool Design and Operation Strategies for Green Manufacturing | 91 | 21 | 70 | 23.1% |
40g995w6 | Energy Consumption Characterization and Reduction Strategies for Milling Machine Tool Use | 80 | 54 | 26 | 67.5% |
2wr9b3t1 | Life-cycle assessment of NAND flash memory | 78 | 18 | 60 | 23.1% |
80x443hk | Sustainable Manufacturing – Greening Processes, Systems and Products | 74 | 6 | 68 | 8.1% |
4w89d0m2 | Integrated Sustainability Analysis of Atomic Layer Deposition for Microelectronics Manufacturing | 73 | 13 | 60 | 17.8% |
0zz4s5qb | Burrs-Analysis, control and removal | 71 | 20 | 51 | 28.2% |
26q3w4bc | An Environmental and Economic Trade-off Analysis of Manufacturing Process Chains to Inform Decision Making for Sustainability | 70 | 13 | 57 | 18.6% |
9nr6b6jr | Semi-empirical material removal rate distribution model for SiO<sub>2</sub> chemical mechanical polishing (CMP) processes | 64 | 26 | 38 | 40.6% |
8zp825mq | An Indigenous Application for Estimating Carbon footprint of academia library systems based on life cycle assessment | 62 | 9 | 53 | 14.5% |
08k854nq | Development of a micro-drilling burr-control chart for PCB drilling | 59 | 14 | 45 | 23.7% |
12b238cd | On the Shrinkage and Stiffening of a Cellulose Sponge upon Drying | 58 | 2 | 56 | 3.4% |
7931209f | A Hybrid Life Cycle Inventory of Nano-Scale Semiconductor Manufacturing | 58 | 23 | 35 | 39.7% |
3j5411bd | Automated energy monitoring of machine tools | 56 | 34 | 22 | 60.7% |
48m4059z | Environmental Performance Characterization of Atomic Layer Deposition | 54 | 5 | 49 | 9.3% |
10w7h9rb | Appropriate use of Green Manufacturing Frameworks | 53 | 9 | 44 | 17.0% |
647722kf | Precision Manufacturing Process Monitoring with Acoustic Emission | 50 | 16 | 34 | 32.0% |
4zs976kx | Improving Machine Tool Interoperability Using Standardized Interface Protocols: MT Connect | 48 | 7 | 41 | 14.6% |
84z0z75t | Understanding Life Cycle Social Impacts in Manufacturing: A processed-based approach | 47 | 23 | 24 | 48.9% |
9w13b4dr | Assessment of Lean and Green Strategies by Simulation of Manufacturing Systems in Discrete Production Environments | 46 | 40 | 6 | 87.0% |
1tv7d8j3 | Reducing the Environmental Footprint and Economic Costs of Automotive Manufacturing through an Alternative Energy Supply | 43 | 5 | 38 | 11.6% |
4c11k74w | Precision and Energy Usage for Additive Manufacturing | 42 | 10 | 32 | 23.8% |
20d8v6kt | Life Cycle Inventory of a CMOS Chip | 41 | 13 | 28 | 31.7% |
262749ph | A Three Dimensional System Approach for Environmentally Sustainable Manufacturing | 40 | 20 | 20 | 50.0% |
7fw982mb | Sustainability Indicators for Discrete Manufacturing Processes Applied to Grinding Technology | 39 | 13 | 26 | 33.3% |
78g5824b | Quantifying the Environmental Footprint of Semiconductor Equipment Using the Environmental Value Systems Analysis (EnV-S) | 38 | 9 | 29 | 23.7% |
1bc7g9kj | A Study of Surface Roughness in the Micro-End-Milling Process | 37 | 32 | 5 | 86.5% |
9tq5x8fb | Development of the Supply Chain Optimization and Planning for the Environment (SCOPE) Tool - Applied to Solar Energy | 37 | 6 | 31 | 16.2% |
9tj3t93z | Evaluating the End-of-Life Phase of Consumer Electronics:Methods and Tools to Improve Product Design and Material Recovery | 36 | 12 | 24 | 33.3% |
3s91k188 | Metrics for Sustainable Manufacturing | 35 | 9 | 26 | 25.7% |
613797g5 | Design and Operation Strategies for Green Machine Tool Development | 35 | 5 | 30 | 14.3% |
1387x8h9 | Software-based tool path evaluation for environmental sustainability | 32 | 14 | 18 | 43.8% |
75x445xn | Implementing Engineering and Sustainability Curriculum in K-12 Education | 32 | 7 | 25 | 21.9% |
7cp1p0ww | Condition Monitoring in End-Milling Using Wireless Sensor Networks (WSNs) | 32 | 16 | 16 | 50.0% |
825308wk | Integrating Green and Sustainability Aspects into Life Cycle Performance Evaluation | 32 | 8 | 24 | 25.0% |
5qs5k8pv | Combination of Speed Stroke Grinding and High Speed Grinding with Regard to Sustainability | 31 | 7 | 24 | 22.6% |
5rs7n92f | Impact of the manufacturing phase on the life cycle of machined products | 31 | 5 | 26 | 16.1% |
72714099 | Linking tool paths generated with different offset distances for edge quality enhancement in planar milling | 31 | 2 | 29 | 6.5% |
7br9q19x | Acoustic emission based tool contact detection for ultra-precision machining | 31 | 10 | 21 | 32.3% |
7x99h868 | Using a Hybrid Approach to Evaluate Semiconductor Life Cycle Environmental Issues: A Case Study in Interconnect Module Impacts | 31 | 15 | 16 | 48.4% |
5th4d3q7 | LIFE CYCLE MANAGEMENT OF ABRASIVE TOOLS AND EFFECTS ON SUSTAINABLE GRINDING | 30 | 17 | 13 | 56.7% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.