Insphere Ltd

This research project will develop a technology that will have the potential to fundamentally change how industrial robot commissioning is conducted. The vision is to use a combination of sensors and data analysis models incorporating machine learning to verify and correct automation errors at the commissioning stage. This is currently a manually intensiv...

**Vision**: UK businesses INSPHERE and Createc have technologies that together could revolutionise advanced welding and inspection for safety-critical component manufacture. AFFIRM takes INSPHERE's new and highly innovative IONA system for real-time monitoring and control of robots and advances it alongside Createc's in-situ radiography weld-inspection te...

Robots are inexpensive and flexible to use for manufacturing tasks, but it has been challenging to deploy them in aerospace applications where high accuracy is essential. The project will use a new, patented, low-cost, sensor network to track robots accurately, and will employ artificial intelligence (AI) to create a self-correcting system that can achiev...

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The Ubiquitous Monitoring and Control (UMAC) project aims to develop and demonstrate automated manufacturing process monitoring, analysis, prediction and correction within a multi-stage manufacturing system. This will improve system performance and enhance process control ultimately reducing part-to-part variation. The target application will be automatio...

INSPHERELtd. BASELINE project

Many of the current manufacturing techniques used in industries were developed for standard and conventional materials, some of which are now being challenged by novel and more advanced counterparts which can be difficult to process by standard means. A next-generation, advanced manufacturing technique is required to fully exploit the potential of these i...

There is a large emphasis across the tool and die (T&D) sector to develop new methods which reduce cost, improve life and functional performance. The European T&D market is estimated at 11 billion USD per year and the UK spends £130m on closed die forging and sheet metal dies alone. These industries are made up of a large number of SMEs and adopting new m...

The TACDAM project will perform targeted Additive Manufacturing (AM) pre- and post-processvalue chain technology developments, develop an adaptive quality assurance model, introduceparametric design as a key process variable and demonstrate the capability to deliver cost andquality outcomes at Manufacturing Readiness Level 6 to the automotive industry.