Optimal Stress and Strain of Helical Gear and Rack in the Steering System

Vu, Minh Hung; Huynh, Ngoc Thai; Nguyen, Khoi Khac; Tran, Anh Son; Nguyen, Quoc Manh

doi:10.18280/mmep.090316

Cited by 3 publications

(3 citation statements)

References 17 publications

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“…This supplied an effective solution to the problem of uncertainty through multiple discrete inputs. GRA, which is a part of grey systems theory, is suitable for solving multiple factors [35][36][37][38][39][40][41][42][43], as follows:…”

Section: Grey Relational Analysis (Gra)mentioning

confidence: 99%

Design optimization of a novel symmetrical differential lever displacement magnification compliant mechanism

Huynh,

Nguyen,

Dinh

2023

Preprint

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Compliant mechanisms with flexure hinges work based on the deformation of a flexure hinge. The high displacement amplification ratio of the compliant mechanism gives it a large working space, an issue that has been challenging to solve for researchers. Therefore, this study proposes grey relational analysis and the TOPSIS method, the EDAS method and the Taguchi method as means of optimising the displacement magnification of a novel symmetrical differential lever displacement magnification compliant mechanism. The model of the mechanism studied here was designed by SolidWorks. The design variables of the model consisted of variable A, variable B, variable C and variable D. The design variables and their levels were used to create 27 different models with Minitab experimental design software. The displacement and stress of the 27 models was then analysed with the finite element method (FEM) in ANSYS. The results of the FEM analysis were used in optimisation with the methods mentioned above. The FEM results indicated that the designed variables significantly affected the displacement and stress of the symmetrical differential lever displacement magnification compliant mechanism. Issues were also confirmed with five optimisation methods. The predicted and optimal values of the displacement were 0.11276 mm and 0.1179 mm, with error of 4.36%. The input displacement was 0.01 mm, while the displacement magnification ratio was 11.79 times.

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Section: Grey Relational Analysis (Gra)mentioning

confidence: 99%

Design optimization of a novel symmetrical differential lever displacement magnification compliant mechanism

Huynh,

Nguyen,

Dinh

2023

Preprint

Self Cite

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“…There are various techniques commonly employed in engineering to tackle the optimization problem. Some generic optimization approaches, such as Taguchi [8,12] and Grey Relational Analysis (GRA) [13,14], are used in metal cutting; nevertheless, these techniques cannot provide optimal results with a "really optimal" solution considering that they only optimize depending on the level of control factors. Mia and co-authors [15,16] typically employ the desirability function technique for simultaneous multi-response optimization.…”

Section: Introductionmentioning

confidence: 99%

Experimental and Metamodel Based Optimization of Cutting Parameters for Milling Inconel-800 Superalloy Under Nanofluid MQL Condition

Vu¹,

Nguyen²,

Nguyen³

et al. 2023

MMEP

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Machining of Inconel-800, a superalloy material that is difficult-to-cut materials, has received the special attention of many scientists worldwide. This paper adopts the advanced and industry-accepted lubrication method that is minimum quantity lubrication technique (MQL) which enhances nanoparticle particles to improve the machinability of Inconel-800 superalloy material and reduce the quantity of conventional cutting fluids. The metamodel namely Radial basis function (RBF) was used for expressing the relationship between cutting velocity, feed per tooth, depth of cut, and corner radius to two quality factors, including cutting force and specific cutting force. A combination of the RBF approximate model and Non-dominated Sorting Genetic Algorithm II (NSGA-II) algorithm was applied to find out optimal global solutions for the multi-objective optimization problem. The results show that this study plays a part in supporting scientists and engineers to understand machining difficult-tocut materials better and minimize waste to the environment towards sustainable and environmentally friendly machining.

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“…With the progression of modern industrial technology, complex mechanical systems have been extensively utilized across various domains. These mechanical systems typically encompass numerous gears, bearings, and other rotating components, the operational states of which directly influence the overall system's stability and safety [1][2][3][4]. During prolonged operation, wear and aging in these components are inevitably encountered, potentially leading to system performance decline or even failures [5,6].…”

Section: Introductionmentioning

confidence: 99%

Vibration Signal Analysis of Complex Mechanical Systems and Early Wear Detection and Forecasting for Gears

2023

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With the advancement of modern industrial technology, complex mechanical systems have found extensive applications across various industries. Gears, integral components of these systems, play a crucial role in determining the stability and safety of the entire system. Wear and aging of system components during prolonged operations might lead to performance degradation or system failures. Historically, numerous methods for vibration signal analysis and gear wear detection have been proposed. However, these methods often exhibit limitations when applied to intricate systems, such as reliance on empirical rules and suboptimal handling of nonlinear vibration signals. In light of these challenges, the vibration genesis mechanism in complex mechanical systems has been deeply investigated. A "Gear Health Factor" has been introduced, and a wear prediction model for gears, incorporating Bidirectional Long Short-Term Memory (Bi-LSTM) networks and attention mechanisms, has been developed. This research offers fresh perspectives and methods for the health management of complex mechanical systems and holds significant practical implications.

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Optimal Stress and Strain of Helical Gear and Rack in the Steering System

Cited by 3 publications

References 17 publications

Design optimization of a novel symmetrical differential lever displacement magnification compliant mechanism

Design optimization of a novel symmetrical differential lever displacement magnification compliant mechanism

Experimental and Metamodel Based Optimization of Cutting Parameters for Milling Inconel-800 Superalloy Under Nanofluid MQL Condition

Vibration Signal Analysis of Complex Mechanical Systems and Early Wear Detection and Forecasting for Gears

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