Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

You searched for +publisher:"Georgia Tech" +contributor:("Marusich, Troy"). One record found.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters

1. Fernandez-Zelaia, Patxi. Quantitative methods for inferring process-structure-property relations in machining.

Degree: PhD, Mechanical Engineering, 2018, Georgia Tech

Metal machining subjects material to large strains (e > 1) at extremely high rates (rate > 1000 s-1) while simultaneously imposing heating due to dissipated plastic work. This complex thermomechanical loading drives microstructure evolution and consequently property evolution. Oxygen Free High Conductivity Copper (OFHC Cu) is studied as an example FCC system. Collected chips from machining experiments, subjected to differing process conditions, are imaged to reveal the underlying microstructure. The structure of these machined chips are quantified using robust descriptors using both scanning electron microscopy and orientation imaging microscopy. Chip properties are inferred from a combination of spherical nanoindentation experiments and a novel Bayesian nanoindentation inverse solution. The process-structure-property linkages are established for OFHC Cu using a coupled nonparametric regression model and a robust method for inverting the process-structure-property linkages is developed and illustrated. Furthermore, a process-property model calibration methodology is presented for the establishment of machining constitutive model parameters directly from machining forces. Advisors/Committee Members: Melkote, Shreyes N. (advisor), Vengazhiyil, Roshan J. (committee member), Kalidindi, Surya (committee member), Saldana, Christopher (committee member), Marusich, Troy (committee member).

Subjects/Keywords: Machining; Severe plastic deformation; Materials informatics; Applied statistics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fernandez-Zelaia, P. (2018). Quantitative methods for inferring process-structure-property relations in machining. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60803

Chicago Manual of Style (16th Edition):

Fernandez-Zelaia, Patxi. “Quantitative methods for inferring process-structure-property relations in machining.” 2018. Doctoral Dissertation, Georgia Tech. Accessed March 25, 2019. http://hdl.handle.net/1853/60803.

MLA Handbook (7th Edition):

Fernandez-Zelaia, Patxi. “Quantitative methods for inferring process-structure-property relations in machining.” 2018. Web. 25 Mar 2019.

Vancouver:

Fernandez-Zelaia P. Quantitative methods for inferring process-structure-property relations in machining. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2019 Mar 25]. Available from: http://hdl.handle.net/1853/60803.

Council of Science Editors:

Fernandez-Zelaia P. Quantitative methods for inferring process-structure-property relations in machining. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60803

.