ORCPND

ORCPND

The aim of the project is to optimize the remote cutting rigs used for the decommissioning of nuclear waste in several ways. The first optimization is through measurement of laser cut depth online and in real time. Currently, research on this is centered on reflected energy from an active cut of a 1KW CO2 cutting laser, and pico second timing though capacitor charging and or the constant propagation delay of silicon semiconductors.

KEY FEATURES

TITLE

Optimisation of remote cutting platforms for nuclear decommissioning

[ORCPND]

PROJECT TYPE

PHD

FUNDER

NNL LTD

DATE

Jan 2015 – Jan 2019

BENJAMIN BIRD MPhil

Doctoral Research Student

Computer vision, LiDAR, mobile robotics, industrial robotics and laser interferometry distance measurement

 

President of the University of Manchester Robotics Society

 

Sackville, University of Manchester, Manchester, UK

benjamin.bird@postgrad.manchester.ac.uk

 

OFFICE

EMAIL

SUPPORTED BY

Developing the next generation of nuclear decommissionning robotics research. Working in partnership with the nuclear sector and other unverisities around the UK and EU to reduce risk, accelerate productivity an reduce long term costs .

GET IN TOUCH

School of Electrical and Electronic Engineering,

The University of Manchester, Sackville Street Building, Manchester, M13 9PL

Call us:

+44 (0) 161 306 4777