Title: Data analysis and optimisation of cutting parameters for CNC rotary grinding of a crystal glass

Authors: Amir Baraati; Hélder Morais; Ricardo Torcato

Addresses: School of Design, Management and Production Technologies Northern Aveiro, University of Aveiro, Portugal; FEUP – Faculty of Engineering of the University of Porto, Portugal ' School of Design, Management and Production Technologies Northern Aveiro, University of Aveiro, Portugal ' School of Design, Management and Production Technologies Northern Aveiro, University of Aveiro, Portugal; EMaRT Group – Emerging Materials, Research, Technology, Portugal; CICECO Aveiro – Institute of Materials, University of Aveiro, Portugal

Abstract: Change fuelled by digitisation, mobilisation, augmentation, disintermediation, automation is a science fact. Manufacturing as a business is reinvented by digital transformation and becomes extremely valuable, predictable and desirable. Machining and finishing complex geometries of crystal glasses in industry at a mass production level with consideration of sensitivity analysis of crystal part material has been interesting, and academic institutions have been pioneers in investigating research activities related to developing, optimising, and measuring the process, cutting parameters, and final geometry. In this study, conventional grinding and ultrasonic assisted grinding process with the same cutting tools, have been compared and determined the optimum cutting parameters with minimum cutting forces for achievement minimum surface roughness. Optimisation was focused on the mechanical characterisation and analysis of the cutting forces in CNC machining of superior crystal glass (Pb ≥ 30%). Finally, data analysis of trends to find the correlation and coincidence between theory and experiments has been done.

Keywords: CNC machining; crystal glass; performance measurement; optimisation.

DOI: 10.1504/IJMMM.2024.137422

International Journal of Machining and Machinability of Materials, 2024 Vol.26 No.1, pp.38 - 57

Received: 14 Apr 2023
Accepted: 26 Aug 2023
Published online: 18 Mar 2024 *