Numerical and experimental research on the grinding temperature of minimum quantity lubrication cooling of different workpiece materials using vegetable oil-based nanofluids

This study investigated the grinding temperature of minimum quantity lubricant cooling (MQLC) for heat transfer. Three typical workpiece materials, namely, 45 steel, Ni-based alloy, and nodular cast iron, were surface grinded. These materials are the most frequently used for mechanical processing. P...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2017-11, Vol.93 (5-8), p.1971-1988
Main Authors: Li, Benkai, Li, Changhe, Zhang, Yanbin, Wang, Yaogang, Yang, Min, Jia, Dongzhou, Zhang, Naiqing, Wu, Qidong, Ding, Wenfeng
Format: Article
Language:English
Subjects:
CAE) and Design
Carbon nanotubes
Cast iron
Computer simulation
Computer-Aided Engineering (CAD
Cooling
Engineering
Ferrous alloys
Finite difference method
Grinding
Heat transfer
Heat transmission
Industrial and Production Engineering
Lubricants
Lubricants & lubrication
Lubrication
Mathematical models
Mechanical Engineering
Media Management
Medium carbon steels
Nanofluids
Nickel base alloys
Nodular cast iron
Nucleate boiling
Numerical analysis
Original Article
Palm oil
Vegetable oils
Workpieces
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Summary:This study investigated the grinding temperature of minimum quantity lubricant cooling (MQLC) for heat transfer. Three typical workpiece materials, namely, 45 steel, Ni-based alloy, and nodular cast iron, were surface grinded. These materials are the most frequently used for mechanical processing. Palm oil with good lubrication and heat transfer performance was chosen as the base oil for the nanofluids. Carbon nanotube (CNT) nanofluids with volume fractions of 2 and 2.5%, as well as excellent heat transfer performance, were prepared for the MQLC fluid. Results showed that the 45 steel grinding had the highest temperature (363.9 °C), and the grinding temperature of the 2% nanofluid (363.9 °C) was slightly higher than that of the 2.5% nanofluid (352.9 °C). A numerical simulation heat transfer model conducting the finite difference method was established for the numerical analysis of the MQLC grinding temperature. Results indicated that the model predictions and experimental results are in good agreement, with 4.8% average model error. The heat transfer mechanism of the nanofluids was also analyzed. This study confirmed that nucleate boiling heat transfer was achieved when grinding the Ni-based alloy.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-017-0643-0