Finite Element Analysis of the Heat Transfer in a Piston

Muhammad, Aisha; Haruna, Shanono Ibrahim

doi:10.15282/jmmst.v4i1.3722

Cited by 3 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The paper [9] utilized the Deep Learning technique to accurately predict heat distortion and tolerance restrictions by taking into account the local heat distribution for pointwise distortions. Although this approach gives accurate prediction and analyzes large data of numerous sensors, it doesn't provide a model allowing understanding and assessing the responsive component under heat.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Modeling of thermal distributions by analyzing the heat tolerance of a robotic gripper pivot exposed to heated electronics

Majdi

Abdullah

Hadi

et al. 2022

EEJET

View full text Add to dashboard Cite

There are several applications in the aerospace, automotive and energy industries, for example, that often require high fidelity modeling or problems involving structural mechanics, heat transfer, or electromagnetic. Finite element analysis (FEA) is a popular method for solving the underlying partial differential equations (PDE) for these problems. 3D finite element analysis or 3D-FEA accurately captures the physics of these problems. The relevance of this study is to show how to set up finite element analysis (FEA) simulations and leverage the model of the environment to solve problems typically encountered by engineers and scientists in a variety of fields such as aerospace, automotive and energy. This study analyzes the behavior of mechanical components under different physical effects and shows a thermal analysis of a commercial KUKA YouBot robotic arm component by finding temperature distributions, figures, code, and test results for multiple materials. The developed model allows understanding and assessing the responsive component under loading, vibration or heat and determining deformation stresses among many things to select the best material and even prevent failure or undesired resonance as an example. These systems are typically modeled using partial differential equations or PDEs that capture the underlying physics of the problem and FEA is just one of the most common methodologies to solve this type of equation. The linear regression model can be a good predictive model that represents the relationship between thermal conductivity and max temperature to avoid undesired performance of the robotic arm.

show abstract

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Modeling of thermal distributions by analyzing the heat tolerance of a robotic gripper pivot exposed to heated electronics

Majdi

Abdullah

Hadi

et al. 2022

EEJET

View full text Add to dashboard Cite

show abstract

“…This method has the advantages of obtaining the maximum insight into the design points with the least number of sample points and avoiding the inaccurate results caused by the excessive concentration of sample points. 41,42 In the sampling process, the central composite design method is adopted as the sample type, and the total number of sample points is 27. The maximum thermal coupling equivalent stress, maximum thermal coupling deformation, and mass obtained under the initial state of the piston are taken as the main optimization objectives, and the maximum temperature of the first ring groove is added as the secondary optimization objective.…”

Section: Multi-objective Optimization Design Of Pistonmentioning

confidence: 99%

Titanium alloy piston thermo-mechanical coupling simulation and multi-objective optimization design

Zheng

Lei

2022

Advances in Mechanical Engineering

View full text Add to dashboard Cite

To solve the problem between temperature and thermal stress of a titanium alloy piston, a multi-objective optimization method combined response surface methodology and experiment design is performed to calculate an optimal design of the titanium alloy piston. Firstly, the thermo-mechanical coupling analysis, static and dynamic characteristics analysis are carried out. The analysis results show that the thermal load has a significant influence on the piston. Secondly, the five dimensional parameters are chose as the design variables through sensitivity analysis. The piston thermo-mechanical coupling stress, deformation, mass, and the first ring groove are selected as the objective functions. By using the optimal space-filling design method, the sample points between design variables and objective functions are gained. Then, the mathematical relationship between them is obtained by the response surface method. Finally, the multi-objective genetic algorithm is employed to optimize the mathematical model. After optimization, the maximum coupling deformation decreases by 3.05%, the maximum coupling stress decreases by 27.85%, the mass reduces by 5.46%. The maximum temperature of the first ring groove reduces by 12.54%. This study can provide a reference for the piston optimization design.

show abstract

Heat transfer analysis of thermal barrier in high temperature fluid vessel

Imthiyas

Kumar

Krishnan

2020

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

High temperature fluid storage and handling vessels require to maintain large temperature gradient between the fluid surfaces to top of the vessel. This is achieved by the usage of baffle plates. High temperature failure modes such as ratcheting, creep and fatigue damage, mainly under thermal loadings, decide the vessel life. Tests are conducted in high temperature fluid test vessels on models of shells subjecting them to axially varying temperature gradients to simulate thermal ratcheting which affects the free level variations vessels facing high temperature fluid. Baffle plates are used to maintain the temperature on of the surface of the test vessel below 100 degrees centigrade. The transfer of heat through radiation is contained through the baffle plates. The heat transfer analysis of the baffle plates gives clues of the number of baffle plates required to maintain the top surface in the required temperature. The objective of the project is to design the thermal barrier using baffle plates. The initial calculation of required baffle plates is done using theoretical method available in literature. A computer program is developed to perform similar calculations for various calculations with different parameters of design. Theoretical analysis only considers radiation mode of heat transfer which is the predominant mode of heat transfer where high temperatures are present. But in reality both conduction and convection plays a role in heat transfer. At the same time multimode heat transfer is very complex for theoretical analysis. Hence, Finite element method is used to analyze to improve the design of the baffle plate arrangement.

show abstract

Finite Element Analysis of the Heat Transfer in a Piston

Cited by 3 publications

References 10 publications

Modeling of thermal distributions by analyzing the heat tolerance of a robotic gripper pivot exposed to heated electronics

Modeling of thermal distributions by analyzing the heat tolerance of a robotic gripper pivot exposed to heated electronics

Titanium alloy piston thermo-mechanical coupling simulation and multi-objective optimization design

Heat transfer analysis of thermal barrier in high temperature fluid vessel

Contact Info

Product

Resources

About