Active Engineering Economics & Business

Ulster University and GLeonard Limited KTP 24_25 R1

In plain English

AI plain-English summary

A robotic system is being built to tear down industrial furnaces and kilns, replacing workers who currently do the job by hand. The problem is straightforward: demolishing the firebrick linings of furnaces in industries like steel, glass, and cement is dangerous, slow, and physically punishing. Workers breathe in silica dust and other hazardous particles, and the heavy manual labour causes long-term injury. Current demolition methods also take days or weeks, keeping furnaces offline and costing companies significant money. The researchers aim to build a semi-autonomous robot that can enter these hot, dusty environments and break apart the refractory linings without a person inside. If the system works, demolition time could shrink from days to hours. More importantly, the health and safety risk to workers would drop sharply—no more exposure to airborne toxins or crushing injuries from falling brick. For industries that rely on continuous furnace operation, faster turnaround means less downtime and lower costs. The project is applied engineering, not fundamental science: it takes existing robotics and sensor technology and adapts it for a harsh, specific industrial setting. The payoff is a quieter, safer, and more efficient way to do a dirty job that has barely changed in decades.

View original technical description
To develop a (semi) autonomous robotic system for use in a range of refractory and related industries, to decrease demolition time and also significantly reduce the health and safety risk to manual operators in these industrial environments.

View the original record at the funder ↗

Related Research

Grants with similar aims, by meaning.

Ulster University and Ulster Engineering Limited KTP 24_25 R3
Ulster University and McCauley Trailers Limited KTP 24_25 R1
University of Ulster and Elite Electronic Systems Limited KTP 23_24 R2
University of Dundee and Aerospace Tooling Limited KTP 23_24 R2
Queen's University of Belfast and McKee Engineering Solutions Limited KTP 24_25 R1

Original classification

Knowledge Transfer Partnership

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.