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pro vyhledávání: '"Rangarajan, Arvind"'
Publikováno v:
In Energy Economics January 2025 141
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