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Design And Evaluation Of Processes For Fuel Fabrication: Quarterly Progress Report #9, Georg F. Mauer Nov 2003

Design And Evaluation Of Processes For Fuel Fabrication: Quarterly Progress Report #9, Georg F. Mauer

Fuels Campaign (TRP)

The ninth quarter of the project covered the following:

• Mr. Richard Silva continued the development of a simulation model with a Waelischmiller hot cell robot. Rich will continue to develop detailed 3-D process simulation models as his M.Sc. thesis project.

• A paper on hot cell robotics was presented at the ANS Winter Annual Meeting and published in the ANS 2003 conference proceedings.

• Further advances on Concepts and Methods for Vision-Based Hot Cell Supervision and control, focusing on rule-based object recognition (Ph.D. Student Jae-Kyu Lee)

• Graduate student Jamil Renno created simulations of more complex fuel manufacturing and …


Design And Evaluation Of Processes For Fuel Fabrication: Quarterly Progress Report #8, Georg F. Mauer Aug 2003

Design And Evaluation Of Processes For Fuel Fabrication: Quarterly Progress Report #8, Georg F. Mauer

Fuels Campaign (TRP)

The eighth quarter of the project covered the following:

· Mr. Richard Silva continued the development of a simulation model with a Waelischmiller hot cell robot. Rich will continue to develop detailed 3-D process simulation models as his M.Sc. thesis project.

· A paper submitted for ANS for the Winter Annual Meeting on hot cell robotics was accepted for presentation and publication.

· Further advances on Concepts and Methods for Vision-Based Hot Cell Supervision and control, focusing on rule-based object recognition (Ph.D. Student Jae-Kyu Lee)

· Undergraduate student Jamil Renno created simulations of fuel pin assembly (robotic insertion of pellets …


Design And Evaluation Of Processes For Fuel Fabrication: Quarterly Progress Report #7, Georg F. Mauer May 2003

Design And Evaluation Of Processes For Fuel Fabrication: Quarterly Progress Report #7, Georg F. Mauer

Fuels Campaign (TRP)

The seventh quarter of the project covered the following:

• Mr. Richard Silva continued the development of a simulation model with a Waelischmiller hot cell robot. Rich will continue to develop detailed 3-D process simulation models as his M.Sc. thesis project.

• Mr. Richard Silva presented a paper on hot cell robotics at the ANS student conference in Berkeley, CA.

• Concepts and Methods for Vision-Based Hot Cell Supervision and control, focusing on rule-based object recognition (Ph.D. Student Jae-Kyu Lee)

• Undergraduate student Jamil Renno, developed better control algorithms, and created simulations of pick and place actions for the hot …


Design And Evaluation Of Processes For Fuel Fabrication: Quarterly Progress Report #6, Georg F. Mauer Feb 2003

Design And Evaluation Of Processes For Fuel Fabrication: Quarterly Progress Report #6, Georg F. Mauer

Fuels Campaign (TRP)

The sixth quarter of the project covered the following:

• Mr. Richard Silva continued the development of a simulation model with a Waelischmiller hot cell robot. Rich will continue to develop detailed 3-D process simulation models as his M.Sc. thesis project. Rich is employed with Bechtel at the Yucca Mountain project.

• Concepts and Methods for Vision-Based Hot Cell Supervision and control (Ph.D. Student Jae-Kyu Lee )

• An undergraduate senior student in mechanical engineering, Mr. Jamil Renno, was hired to develop the simulation model for the hot cell manipulator.


Design And Evaluation Of Processes For Transmuter Fuel Fabrication, Georg F. Mauer Jan 2003

Design And Evaluation Of Processes For Transmuter Fuel Fabrication, Georg F. Mauer

Fuels Campaign (TRP)

• Project Objective: examine autonomous robotic fuel fabrication processes with regard to hot cell and equipment design, operations, and costs.

• Fabrication processes for different fuel types differ in terms of equipment types, throughput, and cost.

• Design options are restricted by the requirement to employ only radiation-hardened machinery and components

• Benefit to Department of Energy: decision support for the selection of the most suitable manufacturing process.