Finite Element Simulation of Induction Hardening in Saw Blades for Food Processing H. Torres1, F.A. Pérez-González1,, N.F. Garza-Montes-deOca1,, O. Zapata-Hernández1, I. Felde2, T. Réti2, M. Réger2 and R. Colás1 1Universidad Autónoma de Nuevo León 2 Obuda University, Hungary. • Introduction • Introducción • Experimental procedure • Model preparation • Results • Procedimiento experimental • Preparación de modelo • Resultados • Conclusiones • Referencias • Conclusions • References INTRODUCTION Optimization of induction hardening process by FEM. SISAMEX, UANL, GH Induction. Induction hardening patterns prediction by FEM. SISAMEX. Abstract Resumen Saws for food are expected to have a good resistance wear during service; these are components that are subjected to induction hardening process. This process offers good industrial advantages since heating is done at specific regions during very short times without heating al l volume. Las sierras de corte para alimentos son componentes los cuales se espera tengan una buena resistencia al desgaste durante su servicio, estas son sometidas al proceso de endurecimiento por inducción. Este proceso ofrece grandes ventajas industriales desde realizar el calentamiento en zonas especificas durante tiempos muy cortos sin calentar todo el volumen. The scope of this work is to simulate induction hardening processing using Finite Element Method (FEM) to solve heat transfer problem, and Boundary Element Method (BEM) to solve electromagnetic problem. A coupled electromagnetic-thermal-structural model was created in DEFORM 3D to model heating and quenching stages considering phase transformation. Altogether to the finite element simulation, experimental tests were made to the aim to use the same conditions and validate the results from FEA and experimental process. Samples characterisation was carried out by SEM and micro-hardness. EL alcance de este trabajo es realizar la simulación del proceso de calentamiento por inducción utilizando el Metodo de Elemento Finito para resolver el problema de transferencia de calor, y el Metodo de Elemento Frontera para solucionar el problema electromagnetico. Un modelo electromagnetico-térmico-estructural acoplado fue creado in DEFORM 3D para modelar las etapas de calentamiento y enfriamiento considerando la transformación de fase. La caracterización de muestras fue realizada por microscopia electronica de barrido (SEM) y microdureza. Introduction High carbon steels are used in the manufacture of cutting tools due to its capacity to develop a high hardness structure made of tempered martensite. Respect to the heat treatment, as well-known, the hardening and tempering process of the steel consists of the steps of austenitizing, quenching and tempering: the first two are characterised by the formation of austenite and its full transformation to hard martensite, while the third is performed to restore toughness. Figure 1. Saw blade for food processing. Figure 2. CCT diagram for 0.44 % carbon steel *Source: After "Einführung in die Werkstoffwissenschaften"; ed. W. Schatt, 7th edition 1991. Introduction Induction hardening • Some of the advantages of induction hardening are: heating is very fast, it is a very efficient process, and it has the ability of heating locally. Endurecimiento por inducción • Algunas de las ventajas del endurecimiento por inducción respecto a los tratamientos térmicos tradicionales son: calentamiento rápido, proceso eficiente, tratamiento localizado, entre otras. Figure 3. Induction heating applications Introduction Saw blades in food processing are tools that are used to cut meat and bones, and they are found in butcheries, slaughter houses, and super markets. Bone Induction hardened zone Figure 4. Saw blades during cut of meat with bones. Specifications: • Polished high carbon steel • Hardened, ground teeth • Laser-etched blade for easy identification Meat types: • Meat with bones or boneless, thawed or frozen • Fish Objective Objetivo • Simular el proceso de endurecimento por inducción de sierras de corte para alimentos mediante el metodo de elementos finitos y metodo de condiciones de frontera, con el fin de resolver problemas de transferencia de calor y electromagneticos, respectivamente. • Simulate induction hardening processing of saw blades using Finite Element Method (FEM) to solve heat transfer problem, and Boundary Element Method (BEM) to solve electromagnetic problem. FEM Physical System Validation Model Modify of system Prediction Experimental procedure A company of cutting tools for industrial food applications provided saws of commercial high carbon steels. To the aim to improve a good induction heat treatment and increase the mechanical behaviour of the saw, in specific the teeth’s was design and manufacture an induction coil as can be appreciated in Figure 5, where is observed the coil and the saw modelled in a CAD program. The parameters used for this study are the same in the simulation and experimental process (voltage was considered to be 8 kV and frequency has a value of 27 MHz, processing time is 13.5 ms) in order to validate the simulation with experimental values. Tooth Figure 5. Coil and saw system. Model preparation (FEM) The geometry of the saw was simplified since heat only concentrates on the tooth. A height of 5.6 mm, which is 10 times the thickness of the sheet, was considered. General purpose commercial finite elements programs are used very frequently to model induction hardening processes. These kind of programs offer high capability of handling complex geometries and deal with very complex phenomena. Therefore, computer simulation was used to obtain the temperature distributions on the saw during induction hardening process. This was done using DEFORM 3D software, as can be observe in Figure 6. Figure 6. Finite element mesh of the system. *Note. The total number of elements was 47692 and 13389 for saw and coil, respectively Model preparation (FEM) Boundary conditions are show in Figure 7. The base of the saw was fixed and a translational velocity of 1.3 m/s was assigned to the coil. It is important to notice that in the real process the coil is fixed. Assigning this velocity to the saw will require a very high computational time for the calculation because of the Lagrangian formulation for the elements of the saw. The initial temperature of the saw is 20 °C. Thermal properties for austenite and martensite phases were considered to be temperature dependent and they are shown in Figure 8, where thermal conductivity and specific heat capacity are plot respect to the temperature for each phase. Figure 8. a) Thermal conductivity, b) Specific heat of steel. Figure 7. Boundary conditions. Model preparation (FEM) Electromagnetic properties for austenite and martensite phases were considered the same. Electrical resistivity is shown in Figure 9. For the coil the electrical resistivity and the relative magnetic permeability were -6 considered to be 2.5x10 W-m, and 1, respectively. Thermal expansion coefficient was not assigned in this model since there was no calculation of thermal stresses due to phase transformation although usually are developed during quenching. Figure 9. Electrical resistivity of steel. Results In this figure is possible to observe the temperature distribution on the saw. The maximum temperature is localized in the tip of tooth (1200 °C), where is mandatory to promote the phase transformation. 1200 Figure 10. Temperature distribution in the saw. Results Measurement of temperatures during this process is very difficult since in the real process the saw is moving. In this simulation velocity boundary condition was applied to the coil to reduce computational time. 4 3 2 1 Figure 11. Temperature evolution during simulation in different regions of the saw. Results Micrograph of the saw blade after the surface hardening, in this figure is possible to observe a typically gap or layer of phase transformation, where this layer is a fine-grain martensitic on specific areas of the saw. Figure 12. Microstructure evolution after heat treatment of the master material. Results Micro-hardness test were carried out on different samples to the aim to measure the mechanical properties on the induction-hardening zone of the saw. Figure 13. Hardness evolution on the saw Results Phase transformation using the specialized software and micrograph by SEM. In this figure is possible to observe that the layer or gap of phase transformation on software and micrograph is similar, because the layer of fine martensite on tooth are the same for both analyses, but in small zones this layer by FEM is different respect to micrograph . ~860 µm ~840 µm Figure 14. a) Finite element simulation of martensite transformation, b) Metallographic examination of the saw. Conclusions • A coupled electromagnetic-thermal-structural with phase transformation models packages was successfully implemented. The gap or layer of full phase transformation to martensite in the material was very similar for both, Finite Element and micrographic analyses. Using Finite Element Analysis is possible to obtain the optimal parameter to do a good heat treatment, respect to the deep of tempering on the material. • Distance between coil and sample has to be considered in the design of the process, to the aim to have an uniformity of the temperature in the material or study zone. Otherwise, the geometry and orientation of the coil respect to the work specimen is very important too, due to these variables have a high consequence in the surface hardening process. Current process Optimized Process [1] G. Crepaz, F. Dughiero, S. Lupi, E. Ramous: “Modern installations for the continuous process induction hardening and tempering of steel bars”, XII UIE Congress, Montreal (Canada), June 14-18, 130-139. 1992 [2] S.L. Semiatin, D.E. Stutz : « Induction Heat Treatment of Steel », American Society for Metals, Metals Park, Ohio (USA),1986. [3] V. Rudney, Handbook of induction heating, CRC Press, 2012. 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H'omberg, A mathematical model for induction hardening including mechanical effects, Nonlinear Analysis: Real World Applications 5 pp. 55 – 90. 2004. [12] SFTC Corporation, DEFORM 2D v10.2 system manual, 2011. [13] ASM International, ASM Handbook vol. 22B: Metals Process Simulation, 2010. [14] J. Yuan, J. Kang, Y. Rong, and R. D. Sisson, Jr, Finite Element Modeling of induction hardening processes of steel, Journal of Materials Engineering and Performance, Volume 12(5), pp. 589-596, 2003. Contact: [email protected] [email protected] [email protected] [email protected] [email protected]
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