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Design Concepts and Process Analysis for Transmuter Fuel Manufacturing
Eighth Information Exchange Meeting on Actinide and Fission Product Partitioning and Transmutation Design Concepts and Process Analysis for Transmuter Fuel Manufacturing Georg F. Mauer, Professor Jamil Renno, Graduate Student Department of Mechanical Engineering University of Nevada, Las Vegas UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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Design Concepts and Process Analysis for Transmuter Fuel Manufacturing
Table of Contents Introduction Manipulator Dynamics Analysis Of Fuel Fabrication Simulations of Robotic Material Handling Processes Conclusion UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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A manufacturing plant for transmuter fuel would have to process considerable quantities in a hot cell. Transmuter Fuel Manufacturing: Approx. 100 tons of Americium fuel annually. UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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Transmutation Impact: Lower radiotoxicity
Shorter time frame of concern Smaller volume of waste Optimized waste forms Source: Herczeg 2003 UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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Dispersion Fuels (several subtypes exist)
Transmuter Fuel Types With regard to fuel manufacturing, we may distinguish among three categories: Dispersion Fuels (several subtypes exist) Ceramic Fuels (several subtypes exist) Metallic Fuels UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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Modeling Fuel Manufacturing Process
3D Drawings of Hot Cell Components Define Dynamic Properties, Kinematic Constraints Command generation, and Equipment Control through Feedback. UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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Fuel Fabrication Equipment
Wälischmiller Robot: Modular design All drives and Sensors in Base 30 to 240 kg Load capacity UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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Robot Analysis UNIVERSITY OF NEVADA LAS VEGAS
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ROBOT PATH PLANNING AND KINEMATICS
The robot model was developed using the Denavit-Hartenberg formulation Arm motion is modeled as a series of successive spatial rotations and translations. For an arm with n joints, the end effector position relative to the base (index 0) is UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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UNIVERSITY OF NEVADA LAS VEGAS
DEPARTMENT OF MECHANICAL ENGINEERING
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ROBOT PATH PLANNING AND KINEMATICS
Path generation in Matlab UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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Smooth Motion Profile For Trajectory Planning
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Control Law Implementation Simulink and MSC.visualNastran
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(1) Hot Cell Design and Analysis for Powder Processing
Pellet Press Sintering Oven Surface Grinder Inspection Station Cladding Tube UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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Possible Floor Plan for Powder Processing
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Hot Cell in Operation Loading Pellets for Insertion into the Cladding Tube
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The simulation permits the detailed analysis of process parameters, such as speed and forces on a fuel pellet. Two examples follow. UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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Robot Speed and Forces on Pellet
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Friction Forces on Pellet
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Accident Analysis Collision
Manipulator repeatedly impacts the wall, while moving the pellet to the inspection station.
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Accident Analysis Collision
Impulses during Collisions with a rigid obstacle.
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Accident Analysis Pellet Stack Buckling
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Accident Recovery: Dropping a Pellet
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Time-Motion Studies Powder Processing
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(1) Time-Motion Studies - Powder Processing
Pellet accelerations not to exceed 20 m/s2 Pick and Place Time Intervals, per pellet. Hot cell with two active Robots. Operation Time in Seconds Robot 1: Image Acquisition (Identify pellet in output tray of the pellet press, select pellet for grasping, compute pellet location and orientation) 5 Pellet Press to Sintering Boat 6 Return robot arm to Pellet Press 4 Total time Robot 1 14 Robot 2: Sintering Boat to Grinder Return robot arm to Sintering Boat Grinder to Dimensional Inspection Station 8 Dimensional Inspection Station to V-tray for Insertion into the cladding tube Total time Robot 2 30 UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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Time-Motion Studies - Powder Processing
The time required for pellet handling is small in comparison to the sintering time. (between 1 and 18 hours, depending on process) The time required for the handling metal pins and dispersion fuel compacts will be comparable to those for powder processing, or less. UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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Metallic Fuel Processing
Time-Motion Studies Metallic Fuel Processing UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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Insertion of Metal Pins into the Cladding Tube
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UNIVERSITY OF NEVADA LAS VEGAS
DEPARTMENT OF MECHANICAL ENGINEERING
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(2) Time-Motion Studies - Metallic Fuel Processing
Pin accelerations not to exceed 20 m/s2 Pick and Place Time Intervals, per pin Hot cell with a single active Robot. Robot Operation Time in Seconds Storage Rack to Grinder 6 Return robot arm to Rack 4 Grinder to Dimensional Inspection Station 8 Dimensional Inspection Station to V-tray for Insertion into the cladding tube Return robot arm to Storage Rack Total time for Robot, per pin 30 UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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Dispersion Fuel Processing
Time-Motion Studies Dispersion Fuel Processing UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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Dispersion Fuel Manufacture
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Design Concepts and Process Analysis for Transmuter Fuel Manufacturing
Conclusion The simulation analysis performs detailed evaluation of the manufacturing process, and detects possible accidents and failures in the hot cell. It allows for the comprehensive examination and testing of failure scenarios as well as recovery procedures, and thus for the iterative optimization of all mechanical hot cell components, ensuring maximum reliability and safety. UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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End of Presentation UNIVERSITY OF NEVADA LAS VEGAS
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UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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Simulation Examples Pick and Place Operation: Move fuel pellet from sintering press to preparation area for fuel pin loading. UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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Simulation Example: Friction Forces during Fuel Pin Loading
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Simulation Example: Torque in Joint 3 (Elbow) during Fuel Pin Loading
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3D Modeling: Robot Simulation
We developed a complete mathematical model of robot kinematics, dynamics, and control. 3D CAD models of hot cell equipment and robots were developed and integrated with the robot dynamics model, using Visual Nastran4D software. Each robot is controlled from Matlab through a Simulink interface with Visual Nastran4D. UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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UNIVERSITY OF NEVADA LAS VEGAS
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The Robot Controller (Matlab Simulink)
Manipulator dynamics are represented as block ‘vNPlant’ UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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Source: J. Breese, DOE, 1999 UNIVERSITY OF NEVADA LAS VEGAS
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Fuel Fabrication Equipment
Hot Cell Equipment (Wälischmiller ) UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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Fuel Conditioning Facility at ANL West, Idaho Falls. Hot Cell Schematic.
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Transmuter Fuel Fabrication Issues:
Hot cell required Criticality concerns mandate small batch sizes Large fuel quantities suggest process automation Equipment for hot cell operation must be identified or developed. Material flow and operational sequence Long term reliability must be ensured Design must prove he ability to cope with a wide range of contingencies (e.g. equipment failures, spillage, breakage) UNIVERSITY OF NEVADA LAS VEGAS DEPARTMENT OF MECHANICAL ENGINEERING
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Three processes for Americium Fuel Fabrication (Haas et al.), 1998
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Americium Fuel Fabrication for 1 ton of Am/year (Haas et al.), 1998
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