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pro vyhledávání: '"Rangarajan, Arvind"'
Publikováno v:
In Energy Economics April 2023 120
Autor:
Kang, SungKu, Patil, Lalit, Rangarajan, Arvind, Moitra, Abha, Jia, Tao, Robinson, Dean, Ameri, Farhad, Dutta, Debasish
Publikováno v:
In Computer-Aided Design May 2021 134
Publikováno v:
In Computer-Aided Design January 2014 46:160-169
Autor:
Yuan, Chris Y., Zhang, Teresa, Rangarajan, Arvind, Dornfeld, David, Ziemba, Bill, Whitbeck, Rod
Publikováno v:
In Journal of Manufacturing Systems 2006 25(4):293-300
Akademický článek
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Akademický článek
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Autor:
Rangarajan, Arvind, Dornfeld, David A
Publikováno v:
Rangarajan, Arvind; & Dornfeld, David A. (2004). Back Cutting and Tool Wear Influence on Burrs in Face Milling-Analysis and Solutions. Laboratory for Manufacturing and Sustainability. UC Berkeley: Laboratory for Manufacturing and Sustainability. Retrieved from: http://www.escholarship.org/uc/item/5bq7d5qg
Back cutting is a special condition that occurs when there is tool run-out, uneven tool wear on the inserts or machining over the same region in opposite directions in two different passes. As the tool progresses along a tool path the instabilities m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::d9c896cefe9754b43f2fbeaf37e3b91d
http://www.escholarship.org/uc/item/5bq7d5qg
http://www.escholarship.org/uc/item/5bq7d5qg
Autor:
Rangarajan, Arvind, Dornfeld, David A
Publikováno v:
Rangarajan, Arvind; & Dornfeld, David A. (2003). White Paper on Technical Software Integration. Laboratory for Manufacturing and Sustainability. UC Berkeley: Laboratory for Manufacturing and Sustainability. Retrieved from: http://www.escholarship.org/uc/item/16d7p51p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::8494ff1fed5e150adf665828cd681057
http://www.escholarship.org/uc/item/16d7p51p
http://www.escholarship.org/uc/item/16d7p51p
Autor:
Rangarajan, Arvind, Dornfeld, David A
Publikováno v:
Rangarajan, Arvind; & Dornfeld, David A. (2003). Determining Statistically Significant Parameter Regions for Bounded Specification. Laboratory for Manufacturing and Sustainability. UC Berkeley: Laboratory for Manufacturing and Sustainability. Retrieved from: http://www.escholarship.org/uc/item/7g9172tz
Experiments are performed to observe the influence or quantify the effect a process choice has on the process outcome. Utilization of results from controlled experiments for production plan design using conventional data analysis techniques can lead
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::d8078311c6e58e0b008a402590533393
http://www.escholarship.org/uc/item/7g9172tz
http://www.escholarship.org/uc/item/7g9172tz
Autor:
Rangarajan, Arvind, Dornfeld, David A
Publikováno v:
Rangarajan, Arvind; & Dornfeld, David A. (2003). Probabilistic Precision Process Planning-P4. Laboratory for Manufacturing and Sustainability. UC Berkeley: Laboratory for Manufacturing and Sustainability. Retrieved from: http://www.escholarship.org/uc/item/1x04020q
Factories of the digital future would require simulation and optimization of processes and process chains before establishing the actual line using very specific procedures. There is tremendous scope for reducing significantly the lead time for produ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::0be685695db77a5f38dafab226c9a217
http://www.escholarship.org/uc/item/1x04020q
http://www.escholarship.org/uc/item/1x04020q