All Outputs (6)

Towards Flexible, Fault Tolerant Hardware Service Wrappers for the Digital Manufacturing on a Shoestring Project (2020)
Journal Article
McNally, M. J., Chaplin, J. C., Martinez-Arellano, G., & Ratchev, S. (2020). Towards Flexible, Fault Tolerant Hardware Service Wrappers for the Digital Manufacturing on a Shoestring Project. IFAC-PapersOnLine, 53(3), 72-77. https://doi.org/10.1016/j.ifacol.2020.11.065

The adoption of digital manufacturing in small to medium enterprises (SMEs) in the manufacturing sector in the UK is low, yet these technologies offer significant promise to boost productivity. Two major causes of this lack of uptake is the high upfr... Read More about Towards Flexible, Fault Tolerant Hardware Service Wrappers for the Digital Manufacturing on a Shoestring Project.

Tolerance allocation: A reliability based optimisation approach (2020)
Journal Article
Bacharoudis, K., Popov, A., & Ratchev, S. (2020). Tolerance allocation: A reliability based optimisation approach. Procedia Manufacturing, 51, 1038-1045. https://doi.org/10.1016/j.promfg.2020.10.146

Tolerance analysis and allocation are two activities of great importance in product development. The mathematical formulation of the latter concerns the establishment and solution of a constraint optimisation problem. In this work, making one step fo... Read More about Tolerance allocation: A reliability based optimisation approach.

Enhancing Learning Capabilities of Movement Primitives under Distributed Probabilistic Framework for Assembly Tasks (2020)
Conference Proceeding
Wang, L., Jia, S., Wang, G., Turner, A., & Ratchev, S. (2020). Enhancing Learning Capabilities of Movement Primitives under Distributed Probabilistic Framework for Assembly Tasks. . https://doi.org/10.1109/smc42975.2020.9283066

This paper presents a novel distributed probabilistic framework based on movement primitives for flexible robots assembly implementation. Since modern advanced industrial cell usually deals with various tasks that are not fixed via-point trajectories... Read More about Enhancing Learning Capabilities of Movement Primitives under Distributed Probabilistic Framework for Assembly Tasks.

Affordable data integration approach for production enterprises (2020)
Journal Article
Sanderson, D., Chaplin, J. C., & Ratchev, S. (2020). Affordable data integration approach for production enterprises. Procedia CIRP, 93, 616-621. https://doi.org/10.1016/j.procir.2020.04.124

© 2020 The Authors. The manufacturing industries in a number of high-labour-cost economies are undergoing a shift towards increased automation and intelligence typified by the ‘Industry 4.0' paradigm. Advances from computer science research including... Read More about Affordable data integration approach for production enterprises.

System condition monitoring through Bayesian change point detection using pump vibrations (2020)
Conference Proceeding
Tochev, E., Rengasamy, D., Pfifer, H., & Ratchev, S. (2020). System condition monitoring through Bayesian change point detection using pump vibrations. . https://doi.org/10.1109/CASE48305.2020.9216962

This paper presents a method for vibration analysis and a simple test bench analogue for the solder pumping system in an industrial wave-soldering machine at a Siemens factory. A common machine fault is caused by solder build-up within the pipes of t... Read More about System condition monitoring through Bayesian change point detection using pump vibrations.

Implementing large-scale Aerospace Assembly 4.0 demonstration systems? (2020)
Journal Article
Sanderson, D., Turner, A., Shires, E., Chaplin, J. C., & Ratchev, S. (2020). Implementing large-scale Aerospace Assembly 4.0 demonstration systems?. IFAC papers online, 53(2), 10267-10274. https://doi.org/10.1016/j.ifacol.2020.12.2759

The Future Automated Aerospace Assembly phase 1 technology Demonstrator (FA3D) was commissioned at the University of Nottingham and used to demonstrate concepts from the EPSRC Evolvable Assembly Systems project in specific industrial use cases. A num... Read More about Implementing large-scale Aerospace Assembly 4.0 demonstration systems?.