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Prediction of tool and chip temperature in continuous and interrupted machining
Authors:Ismail Lazoglu  Yusuf Altintas
Affiliation:1. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China;2. Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education, School of Mechanical Engineering, Shandong University, Jinan, PR China;3. Department of Mechanical Engineering, Sinop University, Sinop, Turkey;4. Department of Mechanical Engineering, Chandigarh University, Gharuan, Mohali, Punjab, India;1. State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030, China;2. School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;3. Department of Computing, Mathematics and Engineering, University of Brighton, Brighton BN2 4GJ, United Kingdom
Abstract:In this paper, a numerical model based on the finite difference method is presented to predict tool and chip temperature fields in continuous machining and time varying milling processes. Continuous or steady state machining operations like orthogonal cutting are studied by modeling the heat transfer between the tool and chip at the tool—rake face contact zone. The shear energy created in the primary zone, the friction energy produced at the rake face—chip contact zone and the heat balance between the moving chip and stationary tool are considered. The temperature distribution is solved using the finite difference method. Later, the model is extended to milling where the cutting is interrupted and the chip thickness varies with time. The time varying chip is digitized into small elements with differential cutter rotation angles which are defined by the product of spindle speed and discrete time intervals. The temperature field in each differential element is modeled as a first-order dynamic system, whose time constant is identified based on the thermal properties of the tool and work material, and the initial temperature at the previous chip segment. The transient temperature variation is evaluated by recursively solving the first order heat transfer problem at successive chip elements. The proposed model combines the steady-state temperature prediction in continuous machining with transient temperature evaluation in interrupted cutting operations where the chip and the process change in a discontinuous manner. The mathematical models and simulation results are in satisfactory agreement with experimental temperature measurements reported in the literature.
Keywords:Machining   Temperature   Finite difference
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