Design optimization of an angular contact ball bearing for the main shaft of a grinder

Kim, Seung Wook; Kang, Ki-Weon; Yoon, Ki-Chan; Choi, Donghoon

doi:10.1016/j.mechmachtheory.2016.06.006

Cited by 31 publications

(8 citation statements)

References 19 publications

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“…Patil et al; 2010 presents an analytical model for ball bearing vibrations analysis [10]. Design automation and optimization techniques are also applied for the bearing design and development [5]. Barmanov I.S., Ortikov M.N.…”

Section: Figure: 1 Radial and Thrust Bearings [1]mentioning

confidence: 99%

Comparative Analysis of Sn–Pb–Sb Babbitt bearing alloys material with and without copper

2021

IJATCSE

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The most frequently used bearing is the deep groove ball bearing. It is found in almost all kinds of products in general mechanical engineering. Babbitts, also known as white metals, are either tin or lead-base alloys having excellent embed abilityand conformability characteristics. The Babbitts,are among the most widely used materials for lubricated bearings.The development of new advanced material is an important activity for continues progress in science and technology. Considerable research and development efforts are underway towards the development of tin-based bearing alloys. The effect of Copper in Babbittmaterial is considered as the Bearing Materials for comparative analysis in between the Babbittshaving copper and doesn’t. A Numerical analysis has been carried out for constant speed and at different bearingloads. The comparative analysis is based on the parameters like Elastic Strain, Maximum Principal Elastic Strain, Maximum Shear Elastic Strain, Equivalent Stress (MPa), Maximum Principal Stress (MPa), Maximum Shear Stress (MPa), Stress Ratio, Strain Energy (J) and Safety Factor. A structural analysis has been carried out. The design considers for the study of SKF6003 Bearings with the maximum load carrying capacity of 35MPa.As the results it has been find out that the copper mixing of 5% in Babbitt consider for study is profitable for enhancing the material property for the bearing applications

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Section: Figure: 1 Radial and Thrust Bearings [1]mentioning

confidence: 99%

Comparative Analysis of Sn–Pb–Sb Babbitt bearing alloys material with and without copper

2021

IJATCSE

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“…Tiwari et al [25,26] used the artificial bee colony algorithm for the optimization of rolling bearings. Kim et al [27] enhanced radial and axial stiffness values of an angular contact ball bearing using a micro-genetic algorithm. Kalyan and Tiwari [28] optimized the design of needle roller bearings for getting an excellent fatigue and wear lives by using NSGA-II.…”

Section: Introductionmentioning

confidence: 99%

Macro and Micro-Geometric Robust Design of Cylindrical Roller Bearings Using Fatigue and Wear Considerations

Gaurav

Verma

Tiwari

2021

Preprint

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Cylindrical roller bearings have been chosen for the optimization using a robust design because tolerances are always provided during manufacturing. For rolling element bearings, a measure of satisfactory performance is a long life, lubrication and thermal characteristics. Hence, the first two objectives have been optimized simultaneously using the robust design. For bearing design, variables chosen include four basic internal dimensions and five design constraint factors. Genetic algorithm is implemented for solving the problem by considering both the objective functions, simultaneously. The lives of the bearing are found to be improved at least two times that of the standard bearings. It has been found that during manufacturing, designer should have more attention on the roller diameter compared to others dimensions.

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“…DOE is an application of statistics aimed at designing experimental methods and analyzing the results to identify relationships between design variables and responses. First, directly connecting the optimal algorithm with the design methods can determine the best solution more clearly [9]. However, this method takes a long time to optimize and it is difficult to predict the design time.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of PMSM Based on Automated Finite Element Analysis and Metamodeling

You

2019

Energies

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To obtain accurate optimal design results in electric machines, the finite element analysis (FEA) technique should be used; however, it is time-consuming. In addition, when the design of experiments (DOE) is conducted in the optimal design process, mechanical design, analysis, and post process must be performed for each design point, which requires a significant amount of design cost and time. This study proposes an automated DOE procedure through linkage between an FEA program and optimal design program to perform DOE easily and accurately. Parametric modeling was developed for the FEA model for automation, the files required for automation were generated using the macro function, and the interface between the FEA and optimal design program was established. Shape optimization was performed on permanent magnet synchronous motors (PMSMs) for small electric vehicles to maximize torque while maintaining efficiency, torque ripple, and total harmonic distortion of the back EMF using the built-in automation program. Fifty FEAs were performed for the experimental points selected by optimal Latin hypercube design and their results were analyzed by screening. Eleven metamodels were created for each output variable using the DOE results and root mean squared error tests were conducted to evaluate the predictive performance of the metamodels. The optimization design based on metamodels was conducted using the hybrid metaheuristic algorithm to determine the global optimum. The optimum design results showed that the average torque was improved by 2.5% in comparison to the initial model, while satisfying all constraints. Finally, the optimal design results were verified by FEA. Consequently, it was found that the proposed optimal design method can be useful for improving the performance of PMSM as well as reducing design cost and time.

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Design optimization of an angular contact ball bearing for the main shaft of a grinder

Cited by 31 publications

References 19 publications

Comparative Analysis of Sn–Pb–Sb Babbitt bearing alloys material with and without copper

Comparative Analysis of Sn–Pb–Sb Babbitt bearing alloys material with and without copper

Macro and Micro-Geometric Robust Design of Cylindrical Roller Bearings Using Fatigue and Wear Considerations

Optimal Design of PMSM Based on Automated Finite Element Analysis and Metamodeling

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