SIMULTANEOUS ESTIMATION OF HEAT FLUX INTO WORK PIECE AND CONVECTIVE HEAT TRANSFER COEFFICIENT IN MILLING PROCESS

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DAVOUD ABADI FARAHANI S.

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Paper Information

Journal: MECHANICAL ENGINEERING SHARIF (SHARIF: MECHANICAL ENGINEERING) Year:2019 | Volume:35-3 | Issue:2 Page(s): 3-10

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Title

SIMULTANEOUS ESTIMATION OF HEAT FLUX INTO WORK PIECE AND CONVECTIVE HEAT TRANSFER COEFFICIENT IN MILLING PROCESS

Author(s)

DAVOUD ABADI FARAHANI S. | Issue Writer Certificate

Keywords

Milling processQ1

heat flux estimationQ1

convection heat transfer coefficientQ1

pattern search methodQ1

nealder-mead methodQ1

Abstract

This study investigates the simultaneous estimation of heat flux input into a work piece and convective heat transfer coefficient in milling operations. The material of the work piece is AISIH13. Temperatures in 5 points inside the work piece were measured using thermocouples(K-type). Two thermal models for the work piece were considered to solve the direct problem. Work piece material is an isotropic and the thermal property of work piece is constant. In the first thermal model, it is assumed that temperature changes only with time. This model uses the mean temperature of all thermocouples. For direct problem solving, the code of this model is written in MATLAB software. The second thermal model is a transient 3D problem and temperature inside work piece changes with time and location. This model uses the temperature of each thermocouple. For direct problem solving, the code of this model is written in ANSYS software. Heat flux and convective heat transfer in two thermal models are unknown. Thus, the inverse heat transfer method is used to estimate the unknowns. This problem will not be solved by standard inverse algorithms. Thus, pattern search algorithm and nealder-mead method are used. For both of algorithms, MATLAB toolbox was used. In this study, two cutting speeds of: 50mm min and 100mm min were considered. The estimated values for of the unknowns by using two thermal models were different due to the assumptions are considered for models. The results obtained by two thermal models are independent of the inverse algorithms. The results show the heat flux input into the work piece as the cutting speed increases. Convective heat transfer coefficient increases with increasing the cutting speed in the first thermal model; however, this parameter decreases with increasing the cutting speed in the second thermal model. The main reason for this behavior is that, in the second thermal model, the temperature gradient in all directions (XYZ) inside the work-piece was considered. Estimated temperatures are in good agreement with measured temperatures.

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APA: Copy

DAVOUD ABADI FARAHANI, S.. (2019). SIMULTANEOUS ESTIMATION OF HEAT FLUX INTO WORK PIECE AND CONVECTIVE HEAT TRANSFER COEFFICIENT IN MILLING PROCESS. MECHANICAL ENGINEERING SHARIF (SHARIF: MECHANICAL ENGINEERING), 35-3(2 ), 3-10. SID. https://sid.ir/paper/371402/en

Vancouver: Copy

DAVOUD ABADI FARAHANI S.. SIMULTANEOUS ESTIMATION OF HEAT FLUX INTO WORK PIECE AND CONVECTIVE HEAT TRANSFER COEFFICIENT IN MILLING PROCESS. MECHANICAL ENGINEERING SHARIF (SHARIF: MECHANICAL ENGINEERING)[Internet]. 2019;35-3(2 ):3-10. Available from: https://sid.ir/paper/371402/en

IEEE: Copy

S. DAVOUD ABADI FARAHANI, “SIMULTANEOUS ESTIMATION OF HEAT FLUX INTO WORK PIECE AND CONVECTIVE HEAT TRANSFER COEFFICIENT IN MILLING PROCESS,” MECHANICAL ENGINEERING SHARIF (SHARIF: MECHANICAL ENGINEERING), vol. 35-3, no. 2 , pp. 3–10, 2019, [Online]. Available: https://sid.ir/paper/371402/en

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