MONITORING OF FLANK WEAR AND DAMAGE ON TURNING CUTTING TOOLS BY IMAGE PROCESSING

• Autor(a) principal: Khoury Junior, Joseph Kalil
• Data de Publicação: 2020
• Outros Autores: Schueller, John Kenneth, Pinto, Francisco de Assis Carvalho, Villibor, Geice Paula
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: The Journal of Engineering and Exact Sciences
• Texto Completo: https://periodicos.ufv.br/jcec/article/view/9360
• topic: Manufacturing; Machining; Vision machine; Quality control

The development of the tool wear monitoring system by machining processes has been well recognized in the machine industry mainly due to the growing demand for product quality and improved productivity. For this, artificial vision systems have been used as a measurement tool in various application areas. Thus, the objective was to develop a system automatic based in the image processing to identify and measure flank wear in machining tool. Image processing techniques, discriminant function, to identify insert breakage, and Hough Transform, to find the flank wear profile, achieved over accuracy. Consequently, 94.3% to identify between worn and broken insert and 0.04 mm mistake in measurement of flank wear width compared with microscope.