The Mary Rose, a flagship of Henry VIII’s English fleet, sank off the coast of Portsmouth in 1545. The hull now resides in Portsmouth Historic Dockyard alongside a number of the discovered artefacts. These provide us with a unique insight into Tudor Maritime life and act as a time capsule for this particular moment in history. Many different materials were found, from leather, wood, human remains to iron, bronze and lead, with items varying from miniscule dice to gun carriages. The development of suitable conservation strategies has been crucial in ensuring the long-term stability of these precious finds.
In this lecture, Dr Eleanor Schofield will give an overview of the conservation techniques and strategies employed over the last three decades. Alongside this, the criticality of new advanced materials and techniques, such as synchrotron based analysis and the development of nanotechnology enabled strategies, in ensuring the long term protection of this important cultural heritage will be demonstrated.
Dr Eleanor Schofield.
After achieving her PhD in Materials Science at Imperial College London in 2006, she went on to complete research posts at Stanford Synchroton Radiation Laboratory and the University of Kent. She is now the Head of Conservation and Collections Care at the Mary Rose Trust having joined in 2012 and is responsible for conservation of the Mary Rose hull and associated artefacts, the care and management of the collection, as well as research into novel conservation treatments and characterisation methods.
Various industries around the world struggle with challenging environments – environments where it’s difficult, or impossible, to send people to do a job. The technical hurdles may be different for each of these: radiation, extreme temperature and pressure, vacuum and magnetic fields are just a few examples, but the solutions will often have common features. Rob Buckingham, director of RACE (Remote Applications in Challenging Environments) at UKAEA, will be talking about how the company are pushing the limits of robotics and artificial intelligence to solve some of these challenges.