Finite element stress analysis for shape optimization of spur gear using ANSYS

Agrawal, Anant Prakash; Ali, Shahazad; Rathore, Sachin

doi:10.1016/j.matpr.2022.03.404

Cited by 11 publications

(5 citation statements)

References 3 publications

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“…To get improved performance and quality of a gear, clear knowledge of stress acting on the gear while meshing is very crucial (16) . This study is performed to find more precise and optimum method for the analysis of the gear under dynamic conditions.…”

Section: Resultsmentioning

confidence: 99%

Whole Field Analysis of Asymmetric Helical Gear Using Photo Stress Method and FEA Method

Patil¹,

Patil²

2023

IJST

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Objectives: To carry out dynamic state analysis of asymmetrical helical gears for contact stresses using photo stress technique and suitable finite element software. Methods: Currently the Hertz contact stress equation is used to calculate the contact stress which is based on certain speculations. The value of load transmitted by a gear may be known but whether it is taken by a single or more pairs of teeth are based on some assumptions and stresses thus calculated may not be true stresses. To get precise evaluation of stress field in gear tooth it is decided to carry out experimental work on asymmetric helical gear in actual working condition. The photo stress method not only provide magnitude of stress but also gives idea about stress distribution in gear. Finite element method is used for asymmetrical helical gear to validate experimental results. Findings: The stress values obtained by photostress method and FEA method has minimum error of 2.17% and maximum of 8.89% respectively. The error values are less than 10% and within the limit. We can observe close agreement between these two methods. Novelty: This study has provided a more accurate result than theoretical method of stress calculation. Photostress analysis method is one of the best test methods for evaluation of contact stress of asymmetric helical gear with different torque condition in actual working that is dynamic condition. Maximum error of 8.89% has been found with photostress method.

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Section: Resultsmentioning

confidence: 99%

Whole Field Analysis of Asymmetric Helical Gear Using Photo Stress Method and FEA Method

Patil¹,

Patil²

2023

IJST

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“…Designing and analyzing microfluidic PCR chips require a wide range of capabilities, which ANSYS provides. This enables engineers to evaluate various design factors and maximize chip performance by simulating complex fluid movement, heat transfer, and chemical reactions inside the device [32]. The software is appropriate for modelling biological reactions and fluid dynamics in microscale environments since it has advanced capacities like multiphase flow modeling, species transport, and surface reactions [33].…”

Section: Resultsmentioning

confidence: 99%

Designing Microfluidic PCR Chip Device Using CFD Software for the Detection of Malaria

Austria,

Garcia,

Caparanga

et al. 2023

Preprint

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Polymerase chain reaction (PCR) technique is one of the molecular methods in amplifying DNA for the detection of malaria. However, the limitations of PCR especially when used for routine clinical practice can hamper its sensitivity and specificity. With that, this study focuses on designing a microfluidic device that will mimic the function of a conventional genus-specific PCR based on 18S rRNA gene to detect malaria parasites (Plasmodium falciparum) at low grade parasitemia. The design was drawn and simulated using ANSYS 14.5 Computational Fluid Dynamics (CFD). The simulation shows that adding loops to the design increases its relative deviation but to a minimal extent as compared to having only a straight path design, which indicates that looping is acceptable in designing a microfluidic device to minimize chip length. Also, increasing the cross-sectional area of the fluid path decreases the efficiency of the design, thus, the design with a relatively smaller cross-sectional area is favored. And lastly, among the three materials utilized, the chip made of polypropylene is the most efficient with a relative deviation of 0.94 as compared to polycarbonate and polydimethylsiloxane which have relative deviations of 2.78 and 1.92, respectively.

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Section: Resultsmentioning

confidence: 99%

Designing Microfluidic PCR Chip Device Using CFD Software for the Detection of Malaria

Austria,

Garcia,

Caparanga

et al. 2023

Computation

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Polymerase chain reaction (PCR) technique is one of the molecular methods in amplifying DNA for the detection of malaria. However, the collection and transportation of samples and the processing and dissemination of results via conventional PCR, especially when used for routine clinical practice, can hamper the technique’s sensitivity and specificity. The rampancy of such disease in the Philippines is aggravated by the limited supply of medical machinery and the poor economic state of the country; thus, the need to innovate a device for the early detection of malaria is necessary. With that, this study focuses on designing a microfluidic device that will mimic the function of a conventional genus-specific PCR based on the 18S rRNA gene to detect malaria parasites (Plasmodium falciparum) at low-grade parasitemia. The design was intended to be portable, accessible, and economical, which none from past literature has dealt with specifically for malaria detection. This in silico design is a first in the country specially crafted for such reasons. The proposed device was developed and simulated using ANSYS software for Computational Fluid Dynamics (CFD) analyses. The simulation shows that adding loops to the design increases its relative deviation but minimally compared to having only a straight path design. This indicates that looping is acceptable in designing a microfluidic device to minimize chip length. It was also found that increasing the cross-sectional area of the fluid path decreases the efficiency of the design. Lastly, among the three materials utilized, the chip made of polypropylene is the most efficient, with a relative deviation of 0.94 compared to polycarbonate and polydimethylsiloxane, which have relative deviations of 2.78 and 1.92, respectively. Future researchers may mesh the 44-cycle microfluidic chip due to the limitations of the software used in this study, and other materials, such as biocomposites, may be assessed to broaden the application of the design.

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Finite element stress analysis for shape optimization of spur gear using ANSYS

Cited by 11 publications

References 3 publications

Whole Field Analysis of Asymmetric Helical Gear Using Photo Stress Method and FEA Method

Whole Field Analysis of Asymmetric Helical Gear Using Photo Stress Method and FEA Method

Designing Microfluidic PCR Chip Device Using CFD Software for the Detection of Malaria

Designing Microfluidic PCR Chip Device Using CFD Software for the Detection of Malaria

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