Muhammad Talha Khan1
1Department of Physics, Government Islamia College Civil Lines, Lahore, Pakistan
Received: 20th April 2021 / Revised and Accepted: 10th May 2021 / Published On-Line: 11th May 2021
Bimetals are widely used in technology and industrial and fields due to bimetallic effect. In this work, the comparative analysis for thermal deformation between Aluminum-Steel and Copper-Steel bimetals is carried out by using ANSYS Static Structural. Both Aluminum-Steel and Copper-Steel are well-known bimetals and used in many fields of industry. When the temperature is increased, then the bimetals experience thermal bending due to difference in coefficient of thermal expansion between two materials. The bimetals used in this work comprise of two layers with same dimensions of 100×30 mm with thickness of 5mm. ANSYS is used to observe thermal deformation for a temperature range of 22-300 °C. Results shows linear trend between temperature and thermal deformation. At the temperature of 300 °C, Aluminum-Steel bimetal deform to 0.62 mm while Cu-Steel bimetal shows a thermal deformation of 0.36 mm. The results concluded that Aluminum-Steel bimetals show more thermal deformation than Copper-Steel bimetal at all temperature.
Keywords: Bimetal, Composites, Thermal deformation, Aluminum Steel, Copper Steel.
Composite materials are getting popular day by day due to their dominant advantages over individual materials. They are used in vast range of fields from production of household materials to large scale industrial applications. As compared to individual materials, composite materials are electrical and thermal insulators and have high strength to weight ratio. Furthermore, they are corrosion resistant, non-magnetic, have long durability, require less maintenance and are transparent to radars. Due to these advantages, they are commonly used materials in aerospace, marine industry, electronics, consumer goods, transportation, construction and military applications [1, 2].
Bimetal is an important type of composite materials which has applications in various areas of technology. Bimetals are composed of two layers of same length but materials with different coefficients of thermal expansion. In bimetals, the layer with greater coefficient of thermal expansion is termed as active layer while the layer with smaller coefficient of thermal expansion is termed as passive layer. In bimetals, both active and passive layers are joined firmly and can’t be detached from each other. Due to different coefficients of thermal expansion, when temperature of bimetals is raised, active and passive layers have different elongations. Due to this relative change in lengths, the active layer observes compression and passive layer observes tension. Due to these compression and tension in two layers of bimetals, it bends towards the passive layer causing thermal deformation .
The thermal bending in bimetals with respect to change in temperature is based on
S. Timoshenko theory of bending in bimetal strip thermostats . According to this theory, thermal bending of bimetals shows a direct trend with increase in temperature. Thermal bending is more when difference between coefficients of thermal expansion of layers is greater. While thickness of strip is in inverse relation to bending of bimetals.
Fig. 1: Thermal bending in Bimetal
Due to this temperature response property, bimetals are widely used in technology and industrial and fields. They are commonly used in temperature indicators to measure temperature of airplane wings, refrigerators and other devices. They are also used in temperature controllers and controlling of functions by auxiliary heating of bimetals .
Due to such importance of bimetals, a lot of experiments and researches are conducted in field of bimetals and applications of thermal deformation in bimetals. In 1990, T. Y. Pan et al. developed an analytical model for the deformation in geometry of multi-layered stack assemblies against thermal loading. This model was based on S. Timonshenko’s theory of bending in bimetal strip thermostat. The results of the analysis were correlate well with finite element analysis and experimental results . In 2011, M. A. Ismail et al. reported the characteristics, design and implementation of a temperature sensor for solar panel using Fiber Bragg Grating (FBG) Bimetal. This FBG bimetal temperature sensor has greatest sensitivity between 41 to 90 °C and is an excellent device for the real time measurement of solar panel temperature . In 2012, A. V. Rao et al. using Finite Element Analysis to propose an empirical model to measure the deflection in bimetallic beam against thermal load. The results show that there is a linear relationship between thermal load and deflection in bimetallic beam . In 2013, X. Y. Yang
et al. improved the frequency stability of crystal oscillator by using the bimetal. This work performed both finite element simulation and real time experiment and results concluded that during temperature change, thermal stress of bimetal strip and crystal oscillator neutralize each other and reduced the frequency shift . In 2019, P. Liu et al. used Gleeble-3800 thermomechanical simulator to perform compression test on BTW1-Q345R bimetal. This analysis was performed for a temperature range of 950-1200 °C. The results concluded that the thermal deformation should proceed for temperature of bimetal range from 1182 °C to 1200 °C . In 2019, M. Fratita et al. used ANSYS to compare performance of steel pistons with steel-Aluminium bimetal pistons. This simulation results showed that as compare to steel pistons, bimetal pistons are not only less in weight but also have greater efficiency at cool start of the engine . In 2020, D. Saha et al. developed a theory to predict negative coefficient of thermal expansion by using bimetal strip and universal antichiral metamaterial. This theory predicts coefficient of thermal expansion to be in range between 0.0006 and 0.0041 °C . In 2020,
Z. Zhang et al. suggested a new model for solar tracking in solar panels. This model used bimetallic thermal deformation property to steer the configuration of panel, so that cells receive maximum amount of solar radiations . In 2020, Z. Li et al. used thermal bending of bimetals in automatic shading devices for rooms. In Beijing, this simulation results showed a reduction of 58% of indoor heat gain in summer . In 2020, M. Kang et al. used bimetallic strip with PZT for harvesting of thermal energy. This work deals with both pryo- and piezo-electric effects simultaneously. The prototype used in this work produce an output of 4µW against a temperature difference of 15 K at frequency of 0.02 Hz . In 2021, R. K. Jaya Kumar et al. used ANSYS to compare the electro-thermal deflection between Copper (Cu)-Steel and Aluminum (Al)-Steel bimetals due to passage of current from them. The initial temperature used in this simulation is 22 °C and the current ranges between 1-32 Amperes. Results of this simulation showed Al-Steel bimetal shows more deflection than Cu-Steel bimetal . Many scientists worked on simulation techniques for different objectives of research [17-28].
ANSYS is a very powerful and innovative software for multi-physics simulations. ANSYS is widely used in engineering field and industry for mechanical, thermal, fluid dynamics, electrical and electromagnetic simulations. In this work, thermal deformation of two well-known bimetal composites Al-Steel and Cu-Steel is compared by using ANSYS Static Structural. ANSYS Workbench design modeler is used to create geometry of bimetals. The created geometry consists of two joined rectangular strips with same dimensions of 100×30 mm and thickness of 5 mm.
Fig. 2: Modeling of Bimetal
The initial temperature for both bimetals is 22 °C. For real time simulation, material properties are set by Engineering data source provided by ANSYS. The properties of the materials used in bimetals with dimensions are shown in the below table
Table I: Properties of materials of bimetals
|Initial Temperature (°C)||22||22||22|
|Density (kgm-1)||7850 ||2770 ||8300 |
|Young Modulus (Pa)||2E+11 ||7.1E+10 ||1.1E+11 |
|Poisson’s Ratio||0.3 ||0.33 ||0.34 |
|Bulk Modulus (Pa)||1.6667E+11 ||6.9608E+10 ||1.1458E+11 |
|Shear Modulus (Pa)||7.6923E+10 ||2.6692E+10 ||4.1045E+10 |
|Coefficient of Thermal expansion (°C -1)||1.2E-05 ||2.3E-05 ||1.8E-05 |
For more accurate simulation, the geometry is finely meshed with size of elements set to be 1 mm. The meshed setting comprises of medium smoothing, fine relevance center and fine span angle center. The meshed geometry has comprised of 300000 elements and 142442 nodes in total. The number of elements can be increased for more accurate results. But this finer meshing has a drawback of processing time in simulation. The thermal condition applied on both Al-Steel and Cu-Steel bimetal composites is ranged between 50 to 300 °C.
Fig. 3: Meshing of Bimetal
Results and Discussion
ANSYS Static Structural is used to compute the thermal deformation against increase in temperature. The initial temperature of bimetals is 22 °C with no deformation. When the temperature increase, both Al-Steel and Cu-Steel bimetals experienced deformation in shape. The results show that both bimetals experience maximum deformation at the center of strips. At the temperature of 300 °C, Al-Steel bimetal show maximum deformation of 0.62 mm and is located at the center of strip. While the bottom edge experience minimum deformation of
0.13 mm. For Cu-Steel bimetal, at 300 °C maximum deformation of 0.36 mm is observed at center of strip, while minimum deformation at bottom edge is 0.14 mm. This thermal deformation gradient correlate well with the assumptions of .
Fig. 4: Maximum thermal deformation at center of bimetal strip
In first simulation, thermal deformation in Al-Steel bimetal is observed against increase in temperature ranged 22-300 °C. When temperature increase bimetal observes thermal bending towards steel layer. Results show that thermal bending or deformation is in direct relation with increase in temperature. At maximum temperature of 300 °C, Al-Steel bimetal experience a thermal deformation of 0.62 mm at center and 0.13 mm at edge.
Fig. 5: Thermal Deformation in Al-Steel Bimetal
In second simulation, thermal deformation in Cu-Steel bimetal is observed against increase in temperature ranged 22-300 °C. When temperature increase bimetal observes thermal bending towards steel layer. Results show that thermal bending or deformation is in direct relation with increase in temperature. At maximum temperature of 300 °C, Cu-Steel bimetal experience a thermal deformation of 0.36 mm at center and 0.14 mm at edge.
Fig. 6: Thermal Deformation in Cu-Steel bimetal
Table II: Thermal Deformation against variation of temperature
The results of this simulation show a linear trend between thermal deformation and temperature of bimetals. As the temperature increases, the difference between thermal deformation of both bimetals goes on increasing rapidly. The results of this simulation show same behavior thermal bending against temperature as for S. Timoshenko’s theory of bending in bimetal strip thermostats .
When plotted a graph between thermal deformation y-axis against increase in temperature along x-axis, the curve of Al-Steel bimetal is above than that of Cu-Steel bimetal. Graph shows that Al-Steel is more deformed than Cu-Steel bimetal at all temperatures.
Fig. 7: Graph between Thermal deformation and Temperature for Bimetals
In this work, the comparative analysis for thermal deformation between Aluminum-Steel and Copper-Steel bimetals is carried out by using ANSYS Static Structural. Both Aluminum-Steel and Copper-Steel are well-known bimetals and used in many fields of industry. The bimetals used in this work comprise of two layers with same dimensions of 100×30 mm with thickness of 5mm. ANSYS is used to observe thermal deformation for a temperature range of
22-300 °C. Results shows linear trend between temperature and thermal deformation. At the temperature of 300 °C, Al-Steel experience thermal deformation of 0.36 mm at center and
0.14 mm at edge.to 0.62 mm while Cu-Steel bimetal experience thermal deformation of 0.36 mm at center and 0.14 mm at edge. The results concluded that Aluminum-Steel bimetals show more thermal deformation than Copper-Steel bimetal at all temperature.
Author’s Contribution: M.T.K, Conceived the idea, designed the simulated work, did the acquisition of data, executed simulated work, data analysis, and interpretation of data, wrote the basic draft and did the language and grammatical edits or critical revision.
Funding: The publication of this article was funded by no one.
Conflicts of Interest: The authors declare no conflict of interest.
Acknowledgement: The authors would like to thank the Department of Physics and Research forum of Government Islamia College Civil Lines, Lahore for assistance with the collection of data.
 J. Powell and S. Green, “The challenges of bonding composite materials and some innovative solutions,” Reinforced Plastics, vol. 65, pp. 36-39, 2021.
 D. Shanmugam, F. Chen, E. Siores, and M. Brandt, “Comparative study of jetting machining technologies over laser machining technology for cutting composite materials,” Composite Structures, vol. 57, pp. 289-296, 2002.
 M. Kratochvíl, P. Florian, I. Mazínová, and F. Hrdlička, “FEM-Aided Material Selection and Derivation of Material Indices,” in Materials Science Forum, 2018, pp. 266-274.
 S. Timoshenko, “Analysis of bi-metal thermostats,” JOSA, vol. 11, pp. 233-255, 1925.
 E. R. Howard, “Thermostatic Bimetal,” Engineering and Science, vol. 5, pp. 16-24, 1942.
 T.-Y. Pan and Y.-H. Pao, “Deformation in multilayer stacked assemblies,” 1990.
 M. A. Ismail, N. Tamchek, M. R. A. Hassan, K. D. Dambul, J. Selvaraj, N. A. Rahim, et al., “A fiber Bragg grating—bimetal temperature sensor for solar panel inverters,” sensors, vol. 11, pp. 8665-8673, 2011.
 A. V. Rao, K. Prasad, M. Avinash, K. Nagababu, V. Manohar, P. Raju, et al., “A study on deflection of a bimetallic beam under thermal loading using finite element analysis,” International Journal of Engineering and Advanced Technology, vol. 2, pp. 81-82, 2012.
 X. Y. Yang and W. Zhou, “A New Application of Bimetallic Thin Film,” in Advanced Materials Research, 2013, pp. 128-131.
 P. Liu, L. Ma, W. Jia, T. Wang, and G. Zhao, “Hot deformation behavior of a novel bimetal consisting of BTW1 and Q345R characterized by processing maps,” Frontiers of Mechanical Engineering, vol. 14, pp. 489-495, 2019.
 M. Frătița, F. Popescu, K. Uzuneanu, I. Ion, and C. Angheluță, “About Structural and Thermal Analysis of Diesel Engine Piston Using Ansys Software,” in IOP Conference Series: Materials Science and Engineering, 2019, p. 012041.
 D. Saha, P. Glanville, and E. G. Karpov, “Analysis of antichiral thermomechanical metamaterials with continuous negative thermal expansion properties,” Materials, vol. 13, p. 2139, 2020.
 Z. Zhang, K. Pei, M. Sun, H. Wu, X. Yu, H. Wu, et al., “A novel solar tracking model integrated with bistable composite structures and bimetallic strips,” Composite Structures, vol. 248, p. 112506, 2020.
 Z. Li, S. Zhang, J. Chang, F. Zhao, Y. Zhao, and J. Gao, “Simulation study on light environment performance and heat gain of applying a bimetal automatic shading device to rooms,” Energy and Buildings, vol. 211, p. 109820, 2020.
 M. Kang and E. M. Yeatman, “Coupling of piezo-and pyro-electric effects in miniature thermal energy harvesters,” Applied Energy, vol. 262, p. 114496, 2020.
 R. J. Kumar, T. Ashokkumar, and P. Sivakumar, “Comparative analysis of deflection in a bimetal,” in IOP Conference Series: Materials Science and Engineering, 2021, p. 012070.
 S. Tayyaba, M. W. Ashraf, Z. Ahmad, N. Wang, M. J. Afzal, and N. Afzulpurkar, “Fabrication and Analysis of Polydimethylsiloxane (PDMS) Microchannels for Biomedical Application,” Processes, vol. 9, p. 57, 2021.
 M. J. Afzal, M. W. Ashraf, S. Tayyaba, A. H. Jalbani, and F. Javaid, “Computer Simulation Based Optimization of Aspect Ratio for Micro and Nanochannels,” Mehran University Research Journal of Engineering and Technology, vol. 39, pp. 779-791, 2020.
 M. J. Afzal, M. W. Ashraf, S. Tayyaba, M. K. Hossain, and N. Afzulpurkar, “Sinusoidal Microchannel with Descending Curves for Varicose Veins Implantation,” Micromachines, vol. 9, p. 59, 2018.
 M. J. Afzal, J. Farah, S. TAYYABA, M. W. Ashraf, M. ASHIQ, and A. AKHTAR, “Simulation of a Nanoneedle for Drug Delivery by Using MATLAB Fuzzy Logic,” Biologia, vol. 64, p. 9, 2018.
 M. J. Afzal, F. Javaid, S. Tayyaba, M. W. Ashraf, and M. K. Hossain, “Study on the Induced Voltage in Piezoelectric Smart Material (PZT) Using ANSYS Electric & Fuzzy Logic,” 2020.
 M. J. Afzal, F. Javaid, S. Tayyaba, M. W. Ashraf, C. Punyasai, and N. Afzulpurkar, “Study of Charging the Smart Phone by Human Movements by Using MATLAB Fuzzy Technique,” in 2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2018, pp. 411-414.
 M. J. Afzal, F. Javaid, S. Tayyaba, M. W. Ashraf, and M. I. Yasin, “Study of Constricted Blood Vessels through ANSYS Fluent,” Biologia, vol. 66 (II), pp. 197-201, 2020.
 M. J. Afzal, F. Javaid, S. Tayyaba, A. Sabah, and M. W. Ashraf, “Fluidic simulation for blood flow in five curved Spiral Microchannel,” Biologia, vol. 65, p. 141, 2019.
 M. J. Afzal, S. Tayyaba, M. W. Ashraf, M. K. Hossain, and N. Afzulpurkar, “Fluidic simulation and analysis of spiral, U-shape and curvilinear nano channels for biomedical application,” in 2017 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO), 2017, pp. 190-194.
 M. J. Afzal, S. Tayyaba, M. W. Ashraf, M. K. Hossain, M. J. Uddin, and N. Afzulpurkar, “Simulation, fabrication and analysis of silver based ascending sinusoidal microchannel (ASMC) for implant of varicose veins,” Micromachines, vol. 8, p. 278, 2017.
 M. J. Afzal, S. Tayyaba, M. W. Ashraf, and G. Sarwar, “Simulation of fuzzy based flow controller in ascending sinusoidal microchannels,” in 2016 2nd International Conference on Robotics and Artificial Intelligence (ICRAI), 2016, pp. 141-146.
 J. Farah and S. Said, “FUZZY SIMULATION OF DRUG DELIVERY SYSTEM THROUGH VALVE-LESS MICROPUMP,” PJEST, vol. 1, p. 9, 27 April 2021.
 D. M. Elsherif, A. A. Abd El-Wahab, and M. H. Abdellatif, “Factors affecting stress distribution in wind turbine blade,” in IOP Conference Series: Materials Science and Engineering, 2019, p. 012020.
 M. Aignătoaie, “FEA study on the elastic deformation process of a simple bimetal beam,” in Applied Mechanics and Materials, 2013, pp. 448-452.