SIMULTANEOUS ESTIMATION OF HEAT FLUX INTO WORK PIECE AND CONVECTIVE HEAT TRANSFER COEFFICIENT IN MILLING PROCESS
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 wor...
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| Format: | Article |
| Language: | fas |
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Sharif University of Technology
2019-11-01
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| Series: | مهندسی مکانیک شریف |
| Subjects: | |
| Online Access: | https://sjme.journals.sharif.edu/article_21111_01503825a9d302efea9a5345241aff9f.pdf |
| _version_ | 1797421678085537792 |
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| author | S. Davoodabadi Farahani |
| author_facet | S. Davoodabadi Farahani |
| author_sort | S. Davoodabadi Farahani |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T07:20:54Z |
| format | Article |
| id | doaj.art-678e1c4fbfb54f94a22cd0d3aec68190 |
| institution | Directory Open Access Journal |
| issn | 2676-4725 2676-4733 |
| language | fas |
| last_indexed | 2024-03-09T07:20:54Z |
| publishDate | 2019-11-01 |
| publisher | Sharif University of Technology |
| record_format | Article |
| series | مهندسی مکانیک شریف |
| spelling | doaj.art-678e1c4fbfb54f94a22cd0d3aec681902023-12-03T07:27:30ZfasSharif University of Technologyمهندسی مکانیک شریف2676-47252676-47332019-11-0135.3231010.24200/j40.2018.10802.143321111SIMULTANEOUS ESTIMATION OF HEAT FLUX INTO WORK PIECE AND CONVECTIVE HEAT TRANSFER COEFFICIENT IN MILLING PROCESSS. Davoodabadi Farahani0Dept. of Mechanical Engineering Arak University of TechnologyThis 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.https://sjme.journals.sharif.edu/article_21111_01503825a9d302efea9a5345241aff9f.pdfmilling processheat flux estimationconvection heat transfer coefficientpattern search methodnealder-mead method |
| spellingShingle | S. Davoodabadi Farahani SIMULTANEOUS ESTIMATION OF HEAT FLUX INTO WORK PIECE AND CONVECTIVE HEAT TRANSFER COEFFICIENT IN MILLING PROCESS مهندسی مکانیک شریف milling process heat flux estimation convection heat transfer coefficient pattern search method nealder-mead method |
| title | SIMULTANEOUS ESTIMATION OF HEAT FLUX INTO WORK PIECE AND CONVECTIVE HEAT TRANSFER COEFFICIENT IN MILLING PROCESS |
| title_full | SIMULTANEOUS ESTIMATION OF HEAT FLUX INTO WORK PIECE AND CONVECTIVE HEAT TRANSFER COEFFICIENT IN MILLING PROCESS |
| title_fullStr | SIMULTANEOUS ESTIMATION OF HEAT FLUX INTO WORK PIECE AND CONVECTIVE HEAT TRANSFER COEFFICIENT IN MILLING PROCESS |
| title_full_unstemmed | SIMULTANEOUS ESTIMATION OF HEAT FLUX INTO WORK PIECE AND CONVECTIVE HEAT TRANSFER COEFFICIENT IN MILLING PROCESS |
| title_short | SIMULTANEOUS ESTIMATION OF HEAT FLUX INTO WORK PIECE AND CONVECTIVE HEAT TRANSFER COEFFICIENT IN MILLING PROCESS |
| title_sort | simultaneous estimation of heat flux into work piece and convective heat transfer coefficient in milling process |
| topic | milling process heat flux estimation convection heat transfer coefficient pattern search method nealder-mead method |
| url | https://sjme.journals.sharif.edu/article_21111_01503825a9d302efea9a5345241aff9f.pdf |
| work_keys_str_mv | AT sdavoodabadifarahani simultaneousestimationofheatfluxintoworkpieceandconvectiveheattransfercoefficientinmillingprocess |