Abstract
The use of taladrina in cutting processes in the metallic industry of Mexicali is of great relevance due to its functionality of reducing friction between cutting metals (cutting material to be processed and cutting tool). This manufacturing process is generated in a metallic material that an optimal finish of a metallic surface is obtained and helps to a great extent to extend the life of the tools of the CNC cutting machine. In this research, three phases were considered in its development, being the first stage, a detailed evaluation of the use of taladrina (daily, weekly, monthly, seasonally and yearly), utilized in a cutting process of a CNC machine of a metallic industry located in the city of Mexicali. In this phase, a considerable use of coolant was observed, of up to 40% more, causing a great concern of the managerial, administrative and supervisory personnel for a 25% of extra expenses of economic expenses; whose objective of this investigation was to reduce both the use of coolant and economic expenses. The second stage was an analysis of the physicochemical properties of taladrina (viscosity and pH)), in periods of every eight hours and compared with the manufacturer's specifications to determine its optimal functionality in the cutting process. The physicochemical analyzes showed that the coolant with an efficient recovery process could be reused, achieving up to 80% recovery with the process proposed in this research, for its reuse with optimal functioning, to achieve savings in the use of coolant. and economic expenses. The third stage was a simulation analysis with the MatLab software with the use of the Simulink process and the PID algorithm (P-Proportional, I-Integral, D-Derivative), to determine the optimal physicochemical characteristics of taladrina, evaluating its viscosity, pH and temperature in daily periods. This phase was relevant to determine in the future the appropriate use of coolant with the recovery process and achieve the savings proposed in the objectives at the beginning of this scientific study. The investigation was developed from 2019 to 2020.
Publisher
Facultad de Ciencias de la Ingenieria y Tecnologia de la UABC
Subject
Energy Engineering and Power Technology,Fuel Technology
Reference21 articles.
1. Design of a decision support system for machine tool selection based on machine characteristics and performance tests
2. Modelling of the cutting tool stresses in machining of Inconel 718 using artificial neural networks
3. Montero G. Laura (2010) "Estudio del mecanizado de materiales compuestos", Proyecto de Fin de Carrera, Departamento de Mecánica, Universidad Carlos III de Madrid, pp 114, 2010, Estudio del mecanizado de materiales compuestos (uc3m.es).
4. González F, Rosado P "Control Numérico. Marco y Fundamentos", Segunda Edición, Editorial Universitat Politécnica de Valencia, pp 150, 2015, CONTROL NUMÉRICO. MARCO Y FUNDAMENTOS. 2ª EDICIÓN (upv.es).
5. Cruz F "Control Numérico y Programación II: Curso Practico", Editorial S. A. Marcombo, pp 426, 2010, CONTROL NUMERICO Y PROGRAMACION II: CURSO PRACTICO (2ª ED.) | FRANCISCO CRUZ TERUEL | Casa del Libro México.