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An Environmental Analysis of Machining
Abstract
This paper presents a system-level environmental analysis of machining. The analysis presented here considers not only the environmental impact of the material removal process itself, but also the impact of associated processes such as material preparation and cutting fluid preparation. This larger system view results in a more complete assessment of machining. Energy analyses show that the energy requirements of actual material removal can be quite small when compared to the total energy associated with machine tool operation. Also, depending on the energy intensity of the materials being machined, the energy of material production can, in some cases, far exceed the energy required for machine tool operation.
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Citations
Cited by
Huang, R., Riddle, M., Graziano, D., Warren, J., Das, S., Nimbalkar, S., Cresko, J., & Masanet, E. (2016) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2015.04.109 · Cited by 805
Life Cycle Assessment of Metals: A Scientific Synthesis
Nuss, P., & Eckelman, M. J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0101298 · Cited by 777
Energy Consumption Analysis in Turning Ti-6Al-4V alloy
Imran Jaffery, S. H., Younas, M., Khan, M., & Ali, L. (2020) · 2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) · doi:10.1109/icmimt49010.2020.9041194 · Cited by 9
Metadata
- Authors
- Dahmus, J. B., & Gutowski, T. G.
- Venue
- Manufacturing Engineering and Materials Handling Engineering
- Publisher
- ASMEDC
- Published
- 2004-01-01
- Pages
- 643-652
- OpenAlex
- W2080314777
- Cited by
- 557
- References
- 0
- FWCI
- 12.35
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: An Environmental Analysis of Machining. https://app.cochat.ai/papers/10.1115/imece2004-62600
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- Dahmus, J. B., & Gutowski, T. G. (2004). An Environmental Analysis of Machining. Manufacturing Engineering and Materials Handling Engineering. https://doi.org/10.1115/imece2004-62600
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
