Article Review Procedure
Academic Areas and Subjects
Applied Aspects of Information Technology
Search by article
Vol. 4 № 1
Vol. 3 № 1
Vol. 3 № 2
Vol. 3 № 3
Vol. 3 № 4
Vol. 2 № 1
Vol. 2 № 2
Vol. 2 № 3
Vol. 2 № 4
Vol. 1 № 1
18 Feb 2021
26 Feb 2020
Informatics, Culture and Technology
20 May 2019
Informatics, Culture and Technology
TEMPERATURE MODELS FOR GRINDING SYSTEM STATE MONITORING
The grinding temperature limits the productivity of this operation and is an important parameter for assessing the state of the grinding system. However, there is no information about the current grinding temperature in the existing computer systems for monitoring and process diagnostics on CNC grinding machines. This is due to the difficulty of measuring this parameter directly or indirectly. In the first case – difficulty with the installation of temperature sensors, in the second – there are no acceptable mathematical models for determining the grinding temperature. The objective of the study is development of a simpler temperature model which is acceptable for the modern grinding with large values of the workpiece velocity relative to the grinding wheel. To reach the study objective a classification of solutions of three-, two-, and one-dimensional differential equations of heat conduction with the same initial and boundary conditions was made to research the grinding temperatures with the help of these solutions under otherwise equal conditions. The conditions of results close agreement of the solutions are established depending on the geometrical configuration of the contact zone between the grinding wheel and the workpiece: H/L4, where Hand L are half width and half length of the contact zone, respectively. The above three solutions of differential heat conduction equations obtained under boundary conditions of the second kind and were converted to a uniform dimensionless form, in which the dimensionless temperature depends on the coordinate and dimensionless time multiplicity of the Peclet number, which characterizes this time, the dimensionless half and velocity of the moving heat source. A comparative analysis of surface and deep temperatures was performed for the above three solutions depending on the Peclet number. The possibility of determining the grinding temperature on modern high-speed CNC machines with a one-dimensional solution with H>4 on the basis of computer subsystems of designing, monitoring and diagnosing of grinding operations is shown.
Natalia V. Lishchenko
, Doctor of Technical Sciences, Associate Professor, Department of Physics and Materials Science
( email@example.com )
Vasily Petrovich Larshin
, Doctor of Technical Sciences, Professor
( firstname.lastname@example.org )
Grinding temperature; thermal models; dimensionless temperature; moving heat source; temperature distribution; heat source shape; Peclet number
1. Larshin, V., & Lishchenko, N. (2018). “Gear grinding system adapting to higher CNC grinder throughput”. MATEC Web of Conferences, Vol. 226 (04033). DOI: https://doi. org/10.1051/matecconf /201822 604033.
2. Larshin, V., & Lishchenko, N. (2019). “Adaptive Profile Gear Grinding Boosts Productivi-ty of this Operation on the CNC Machine Tools”. In:1st International Conference on Design, Simula-tion and Manufacturing, DSMIE 2018, Sumy, Ukraine, Lecture Notes in Mechanical Engineering, Springer, Cham, pp. 79-88. DOI: 10.1007/978-3-319-93587-4_9.
3. Larshin, V., & Lishchenko, N. (2018). “Re-search Methodology for Grinding Systems”. Russian Engineering Research, Vol. 38, Issue 9, pp. 712-713. DOI:10.3103/S1068798X1809024.
4. Deivanathan, R., & Vijayaraghavan, L. (2013). “Тhe oretical analysis of thermal profile and heat transfer in grinding”. International Journal of Mechanical and Materials Engineering, (IJMME), Vol. 8, Issue 1, pp. 21-31.
5. Anto´nio, Т., & Simo˜es, N. (2006). “Three-dimensional fundamental solutions for transient heat transfer by conduction in an unbounded medium, half-space, slab and layered media”. Engineering Analysis with Boundary Elements, Vol. 30, Issue 5, pp. 338-349. DOI: https://doi.org/10.1016/ j.enganabound. 2006.01.011.
6. González-Santander, J. L. (2016). “Maxi-mum Temperature in Dry Surface Grinding for High Peclet Number and Arbitrary Heat Flux Profile”. Hindawi Publishing Corporation Mathematical Problems in Engineering, Vol. 2016, Article ID 8470493, pp. 1-9. DOI: http://dx.doi.org/10.1155/2016/8470493.
7. Guo, C., & Malkin, S. (1995). “Analysis of Transient Temperatures in Grinding”, Journal of Engineering for Industry, Vol. 117, Issue 4, pp. 571-577. DOI: 10.1115/1.2803535.
8. Tan, J., Jun, Y., & Siwei, P. (2017). “Deter-mination of burn thresholds of precision gears in form grinding based on complex thermal modelling and Barkhausen noise measurements”. The Interna-tional Journal of Advanced Manufacturing Technol-ogy, Vol. 88, Issue 1-4, pp. 789-800.
9. Jun, Y., & Ping, L. (2017). “Temperature dis-tributions in form grinding of involute gears”, The International Journal of Advanced Manufacturing Technology, Vol. 88, Issue 9-12, pp. 2609-2620. DOI: 10.1007/s00170-016-8971-z.
10. Malkin, S., & Guo, C. (2007). “Thermal Analysis of Grinding”. CIRP Annals Manufacturing Technology, Vol. 56, Issue 2, pp. 760-782. DOI: https://doi.org/10.1016/j.cirp.2007.10.005.
11. Foeckerer, T., Zaeh, M., & Zhang, O. (2013). „A three-dimensional analytical model to predict the thermo-metallurgical effectswithin the surface layer during grinding and grind-hardening. International”. Journal of Heat and Mass Transfer, Vol. 56, Issue 1-2, pp. 223-237. DOI: 10.1016/ j.ijheatmasstransfer. 2012.09.029.
12. Mahdi, M., & Liangchi, Z. (1995). “The fi-nite element thermal analysis of grinding processes by ADINA”. Computers & Structures, Vol. 56, Issue 2-3, pp. 313-320. DOI: https://doi.org/10.1016/0045-7949(95)00024-B.
13. Wang, L., Qin, Y., Liu, Z-c., & Ge, P-q. (2003). “Computer simulation of a workpiece tem-perature field during the grinding process”. Proceed-ings of the Institution of Mechanical Engineers Part B: Journal of Engineering Manufacture, Vol. 217, Issue 7, pp. 953-959. DOI: https://doi.org/10.1243 /09544050360686824.
14. Linke, B., Duscha, M., Vu, A. T., & Klo-cke, F. (2011). “FEM-based simulation of tempera-ture in speed stroke grinding with 3D transient mov-ing heat sources”. Advanced Materials Research, Vol. 223, pp. 733-742. DOI: https://doi.org/10.4028/ www.scientific.net/AMR.223.73.
15. Zhang, L. (2012). “Numerical Analysis and Experimental Investigation of Energy Partition and Heat Transfer in Grinding”. In: M. SalimNewazKazi (Eds.) Heat Transfer Phenomena and Applications, Sense Publishers, Rotterdam, The Netherlands, pp. 79-98. DOI: 10.5772/52999.
16. Biermann, D., & Schneide, M. (1997). “Modeling and simulation of workpiece temperature in grinding by finite element analysis”. Machining Science and Technology: An International Journal, Vol. 19, Issue 2, pp. 173-183. DOI: https://doi.org/10.1080/10940349708945645.
17. Brinksmeier, E., Aurich, J. S., Govekar, E., Heinzel, C., Hoffmeister, H.-W., Klocke, F., Peters, J., Rentsch, R., Stephenson, D. J., Uhlmann, E., Weinert, K., & Wittman, M. (2006). „Advances in Modeling and Simulation of Grinding Processes, Annals of the CIRP”, Vol. 55, Issue 2, pp. 667-696. DOI: https://doi.org/10.1016 /j.cirp.2006.10.003.
18. AL-Mokhtar, Mohamed, O., Warkentin, A., & Bauer, R. (2006). “Variable heat flux in numerical simulation of grinding temperatures”. Int J AdvManufTechnol, Vol. 63, Issue 5-8, pp. 549-554. DOI: 10.1007/s00170-012-3948-z.
19. Tahvilian, A. M., Champliaud, H., Liu, Z., & Hazel, B. (2013). “Study of workpiece tempera-ture distribution in the contact zone during robotic grinding process using finite element analysis”, In:8th CIRP Conference on Intelligent Computation in Manufacturing Engineering, Ischia, Italy, pp. 205-210.
20. Sharma, C., Ghosh, S., & Talukdar, P. (2014). “Finite element analysis of workpiece tem-perature during surface grinding of income 718 al-loy”. In: 5th international & 26th all India manufac-turing technology, design and research conference, IIT Guwahati, Assam, India, pp. 420-1–420-6.
21. Yadav, Mr. R. K. (2014). “Analysis of grinding process by the use of finite element meth-ods”. ELK Asia Pacific Journal of Manufacturing Science and Engineering, Vol. 1, Issue 1, pp. 35-42.
22. Carslaw, H. S., & Jaeger, J. S. (1959). “Conduction of Heat in Solids”. Oxford University Press; 2 ed. Great Britain: Oxford.
23. Jaeger, J. C. (1942). “Moving Sources of Heat and Temperature at Sliding Contacts”, Pro-ceedings of the Royal Society, New South Wales, Vol. 76, pp. 203-224.
24. Malkin, S., & Guo, C. (2008). “Grinding Technology: Theory and Application of Machining with Abrasives”, New York: Industrial Press.Inc.
25. Akbari, M., Sinton, D., & Bahrami, M. (2011). „Geometrical Effects on the Temperature Distribution in a Half-Space Due to a Moving Heat Source, J. Heat Transfer”, Vol. 133, Issue 6, pp. 064502-1-064502-10.
26. Sipaylov, V. A. (1978). Teplovye protsessy pri shlifovanii i upravlenie kachestvom poverkh-nosti, [Thermal processes during grinding and sur-face quality control], Mashinostroenie, Moscow, Russian Federation (in Russian).
27. Lishchenko, N. V., & Larshin, V. P. (2019). “Profile Gear Grinding Temperature Determination. In: 4th International Conference on Industrial Engi-neering”, ICIE, Lecture Notes in Mechanical Engi-neering. Springer, pp. 1723-1730. DOI: https://doi.org/10.1007/978-3-319-95630-5_185.
28. Lavine, A. S. (1998). “A Simple Model for Convective Cooling During the Grinding Process”. Journal of Engineering for Industry, Vol. 110, Issue 1, pp. 1-6.
29. Larshin, V. P, Kovalchuk, E. N., & Ya-kimov, A. V. (1986). Primenenie resheniy teplofizi-cheskikh zadach k raschetu temperatury i glubiny defektnogo sloya pri shlifovanii, [Application of solutions of thermophysical problems to the calcula-tion of the temperature and depth of the defective layer during grinding], Interuniversity collection of scientific works, Perm; pp. 9-16 (in Russian).
Vol. 2 № 3, 2019
7 May 2021
Search by author
Information Systems and Technologies
1. Models and Methods of Information Technology
2. Design of Information Systems and Technologies
3. Mathematical Issues of Information Technologies
4. Innovative Technologies in Education, Culture and art
5. Game Technologies, Augmented and Virtual Reality
6. Theoretical and Applied Issues of Computer Science
7. Project, Program and Portfolio Management
Digital control of Technical and Social Systems
1. Adaptive and optimal Control Systems
2. Parametric and System Identification
3. Interconnected Systems and Systems with Distributed Parameter
4. Renewable Energy Systems
5. Machine Learning and Artificial Intelligence in General Technical Problems and Electromechanics
6. Management of Production and Power Plants
7. Control Systems for Robotic Systems and Complexes, Electric Vehicles
8. Diagnosis and Evaluation of Complex Systems
9. Simulation of Physical Objects and Processes
Sensor less Control Systems
Software Engineering and Systems Analysis
1. Methods and Means of Intellectual Information Processing
2. Recognition, Decision Making, Forecasting
3. Neural Network Technologies and Machine Learning Methods
4. Semantic Models. Natural Language Processing
5. Theoretical and Applied Issues of Software Engineering
6. Models and Methods of Software Quality Management
Computer Systems and Cybersecurity
1. Parallel and Distributed Information Processing
2. Internet of Things
3. Information Security and Cybersecurity
4. Computer Networks and Systems
5. Components of Robotic Systems
KarelWintersky ] [
[ © Odessa National Polytechnic University, 2018.]