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All Outputs (6)

Assessing worker performance using dynamic cost functions in human robot collaborative tasks (2019)
Journal Article
Smith, T., Benardos, P., & Branson, D. (2020). Assessing worker performance using dynamic cost functions in human robot collaborative tasks. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 234(1), 289-301. https://doi.org/10.1177/0954406219838568

The aim of this research is to develop a framework to allow efficient Human Robot, HR, collaboration on manufacturing assembly tasks based on cost functions that quantify capabilities and performance of each element in a system and enable their effic... Read More about Assessing worker performance using dynamic cost functions in human robot collaborative tasks.

Online Tool Wear Classification during Dry Machining Using Real Time Cutting Force Measurements and a CNN Approach (2018)
Journal Article
Terrazas, G., Martínez-Arellano, G., Benardos, P., & Ratchev, S. (2018). Online Tool Wear Classification during Dry Machining Using Real Time Cutting Force Measurements and a CNN Approach. Journal of Manufacturing and Materials Processing, 2(4), Article 72. https://doi.org/10.3390/jmmp2040072

The new generation of ICT solutions applied to the monitoring, adaptation, simulation and optimisation of factories are key enabling technologies for a new level of manufacturing capability and adaptability in the context of Industry 4.0. Given the a... Read More about Online Tool Wear Classification during Dry Machining Using Real Time Cutting Force Measurements and a CNN Approach.

In-process tool wear prediction system based on machine learning techniques and force analysis (2018)
Journal Article
Gouarir, A., Martínez-Arellano, G., Terrazas, G., Benardos, P., & Ratchev, S. (2018). In-process tool wear prediction system based on machine learning techniques and force analysis. Procedia CIRP, 77, 501-504. https://doi.org/10.1016/j.procir.2018.08.253

This paper presents an in-process tool wear prediction system, which uses a force sensor to monitor the progression of the tool flank wear and machine learning (ML), more specifically, a Convolutional Neural Network (CNN) as a method to predict tool... Read More about In-process tool wear prediction system based on machine learning techniques and force analysis.

Removed material volume calculations in CNC milling by exploiting CAD functionality (2018)
Journal Article
Benardos, P., & Vosniakos, G. (2018). Removed material volume calculations in CNC milling by exploiting CAD functionality. International Journal of Computer Aided Engineering and Technology, 10(5), https://doi.org/10.1504/IJCAET.2018.10013720

Material removal volume calculations in machining processes are important in a variety of milling simulation applications, including material removal rate estimation and machining force calculation. In this paper two different approaches are presente... Read More about Removed material volume calculations in CNC milling by exploiting CAD functionality.

Internet of things and industrial applications for precision machining (2017)
Conference Proceeding
Benardos, P., & Vosniakos, G. (2017). Internet of things and industrial applications for precision machining. . https://doi.org/10.4028/www.scientific.net/SSP.261.440

The Internet of Things (IoT) can be regarded as an attempt to bring together the physical and the digital world by using devices for seamlessly exchanging and processing information that can be used anywhere, anytime. For industrial automation and ma... Read More about Internet of things and industrial applications for precision machining.

Flexible robot sealant dispensing cell using RGB-D sensor and off-line programming (2017)
Journal Article
Maiolino, P., Woolley, R., Branson, D. T., Benardos, P., Popov, A. A., & Ratchev, S. (in press). Flexible robot sealant dispensing cell using RGB-D sensor and off-line programming. Robotics and Computer-Integrated Manufacturing, 48, https://doi.org/10.1016/j.rcim.2017.04.004

In aerospace manufacture the accurate and robust application of sealant is an integral and challenging part of the manufacturing process that is still performed by human operator. Automation of this process is difficult and not cost effective due to... Read More about Flexible robot sealant dispensing cell using RGB-D sensor and off-line programming.