Determination of Optimum Main Design Parameters of a Two-Stage Helical Gearbox for Minimum Gearbox Cross-Section Area

Khai, Do Quang; Danh, Tran Huu; Danh, Bui Thanh; Tan, Tran Minh; Cường, Nguyễn Mạnh; Hưng, Lê Xuân; Pi, Vu Ngoc; Thảo, Trần Thị Phương

doi:10.1007/978-3-031-22200-9_37

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…Various objective functions are utilized to solve the single-objective optimization problem of determining the optimal gear ratio of helical gearboxes. These objective functions include minimizing gearbox length [4][5][6][7], minimizing gearbox cross section area [6,[8][9][10], minimizing gearbox mass [6,11], minimizing gearbox volume [12], and minimizing gearbox cost [13][14][15][16]. All of these studies share a common feature in that only one design parameter, the partial gear ratio, is defined in the form of an explicit model.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of a Two-Stage Helical Gearbox Using Taguchi Method and Grey Relational Analysis

2023

Applied Sciences

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This paper presents a novel approach to solve the multi-objective optimization problem designing a two-stage helical gearbox by applying the Taguchi method and the grey relation analysis (GRA). The objective of the study is to identify the optimal main design factors that maximize the gearbox efficiency and minimize the gearbox mass. To achieve that, five main design factors. including the coefficients of wheel face width (CWFW) of the first and the second stages, the allowable contact stresses (ACS) of the first and the second stages, and the gear ratio of the first stage were chosen. Additionally, two single objectives, including the maximum gearbox efficiency and minimum gearbox mass, were analyzed. In addition, the multi-objective optimization problem is solved through two phases: Phase 1 solves the single-objective optimization problem in order to close the gap between variable levels, and phase 2 solves the multi-objective optimization problem to determine the optimal main design factors. From the results of the study, optimum values of five main design parameters for designing a two-stage helical gearbox were first introduced.

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Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of a Two-Stage Helical Gearbox Using Taguchi Method and Grey Relational Analysis

2023

Applied Sciences

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Multi-objective Optimization of a Two-Stage Helical Gearbox to Increase Gearbox Efficiency and Decrease Gearbox Length

Van Thanh,

Danh,

Le The Anh

et al. 2024

Lecture Notes in Networks and Systems

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Determining the Best Design Factors of a Two-stage Helical Gearbox with Two Gear Sets in the First Stage to Increase Efficiency and Reduce Volume using the SAW Method

Dinh,

Vu,

Nguyen

et al. 2024

Eng. Technol. Appl. Sci. Res.

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This study describes the outcomes of employing the Simple Additive Weighting (SAW) approach to address the Multi-Objective Optimization Problem (MOOP) of a two-stage helical gearbox with two gear sets at the first stage. Its objective is to determine the key design variables that can reduce the volume of the gearbox while simultaneously maximizing its efficiency. For this investigation, three key design parameters were selected, namely the coefficients of the wheel face width of the first and second stages (Xba1 and Xba2), and the gear ratio of the first stage u1. In addition, the SAW technique was deployed to deal with the problem of Multi-Criteria Decision Making (MCDM), while the Method based on the Removal Effects of Criteria (MEREC) was employed to determine the weight criterion for addressing the MOOP. The obtained results are valuable for defining the optimal values for three primary design factors, which are essential for the development of a two-stage helical gearbox with two gear sets at the first stage.

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Determination of Optimum Main Design Parameters of a Two-Stage Helical Gearbox for Minimum Gearbox Cross-Section Area

Cited by 3 publications

References 6 publications

Multi-Objective Optimization of a Two-Stage Helical Gearbox Using Taguchi Method and Grey Relational Analysis

Multi-Objective Optimization of a Two-Stage Helical Gearbox Using Taguchi Method and Grey Relational Analysis

Multi-objective Optimization of a Two-Stage Helical Gearbox to Increase Gearbox Efficiency and Decrease Gearbox Length

Determining the Best Design Factors of a Two-stage Helical Gearbox with Two Gear Sets in the First Stage to Increase Efficiency and Reduce Volume using the SAW Method

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