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http://hdl.handle.net/10773/40351
Title: | Cutting Parameters Optimization for CNC Rotary Ultrasonic Grinding of a Crystal Glass |
Author: | Morais, Hélder Baraati, Amir Torcato, Ricardo |
Keywords: | CNC machining Crystal glass Flexible manufacturing Parameters optimization Rotary ultrasonic grinding |
Issue Date: | 2023 |
Publisher: | Springer |
Abstract: | The manufacture of crystal glass parts is based on obtaining the rough geometry by blowing and/or injection, generally followed by a set of manual finishing operations using cutting and grinding tools. The forming techniques used do not allow the obtainment, with repeatability, of parts with complex shapes and the finishing operations use intensive specialized labor resulting in high cycle times and production costs. This work aims to explore the digital manufacture of crystal glass parts by investigating new subtractive techniques for automated flexible finishing of these parts. Finishing operations are essential to respond to customer demands in terms of crystal feel and shine. It is intended to investigate the applicability of different computerized finishing technologies, namely grinding in a CNC machining center with or without ultrasonic assistance, to crystal processing. Research in the field of grinding hard and brittle materials, despite not being extensive, has increased in recent years, and scientific knowledge about the machinability of crystal glass is still very limited. However, it can be said that the unique properties of glass, such as high hardness and very low toughness, make any glass machining technology a very challenging process. This work will measure the performance improvement brought about by the use of ultrasound compared to conventional crystal grinding. This presentation is focused in the analysis of the cutting forces in CNC machining of superior crystal glass (Pb ≥ 30%). After determining optimum cutting parameters for both grinding process, ultrasonic-assisted grinding provides a better surface roughness than conventional grinding |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/40351 |
DOI: | 10.1007/978-3-031-34821-1_66 |
ISSN: | 2195-4356 |
Appears in Collections: | CICECO - Artigos ESAN - Artigos |
Files in This Item:
File | Description | Size | Format | |
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CARV2023_Fullpaper_Ricardo Torcato_revised.pdf | 297.7 kB | Adobe PDF |
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