Determining Partial Gear Ratios of a Two-Stage Helical Gearbox with First Stage Double Gear Sets for Minimizing Total Gearbox Cost

Danh, Tran Huu; Huy, Trieu Quy; Danh, Bui Thanh; Tan, Tran Minh; Trang, Nguyễn Vân; Tung, Luu Anh

doi:10.1007/978-3-031-22200-9_41

Cited by 6 publications

(3 citation statements)

References 17 publications

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“…Researching cost-effective solutions is an overwhelming objective in the power transmission sector. Accordingly, several recent studies can be found about this argument (e.g., [22][23][24][25]).…”

Section: Expected Impactmentioning

confidence: 98%

Impact of Cycloid’s and Roller’s Dimensional Errors on the Performance of a Cycloidal Drive for Power Transmission

Fiorineschi¹,

Frillici²,

Pugi³

et al. 2023

Machines

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Cycloidal roller gearboxes offer good performance in terms of loading capacity and overloading limits, but a precise manufacturing process is required to avoid overloads on relatively small teeth. In addition, these gearboxes are very sensitive to lubrication, which plays an important role on the contact surfaces of rollers and teeth. However, it is acknowledged that an equivalent Cycloidal–Wolfrom configuration can be a possible solution to improve these aspects. In this work, the authors perform a comparison between two equivalent configurations, investigating how tolerances can affect the performances. The investigation approach is based on the use of simulations performed through virtual models of the main wheels of the gearboxes. The outcomes suggest a high suitability of the proposed Wolfrom configuration for applications with high transmitted torques, relatively poor materials, and modest construction tolerances.

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Section: Expected Impactmentioning

confidence: 98%

Impact of Cycloid’s and Roller’s Dimensional Errors on the Performance of a Cycloidal Drive for Power Transmission

Fiorineschi¹,

Frillici²,

Pugi³

et al. 2023

Machines

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“…Sci. 2024, 14, 5274 2 of 18 and gearbox cost [19][20][21]. The research was conducted for two-stage [2,3,[7][8][9][10], threestage [14,18,22], and four-stage gearboxes [9,21].…”

Section: Introductionmentioning

confidence: 99%

Solving a Multi-Objective Optimization Problem of a Two-Stage Helical Gearbox with Second-Stage Double Gear Sets Using the MAIRCA Method

Vu,

Tran,

Dinh

et al. 2024

Applied Sciences

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This paper provides a novel application of the multi-criteria decision-making (MCDM) method to the multi-objective optimization problem (MOOP) of creating a two-stage helical gearbox (TSHG) with second-stage double gear sets (SDGSs). The aim of the study is to determine the optimum major design components for enhancing the gearbox efficiency while reducing the gearbox volume. In this work, three primary design parameters are chosen to accomplish this: the gear ratio of the first stage and the coefficients of the wheel face width (CWFW) of the first and second stages. Additionally, the study is conducted with two distinct objectives in mind: the lowest gearbox volume and the maximum gearbox efficiency. Moreover, phase 1 and phase 2, respectively, are the two stages of the MOOP. Phase 2 handles the MOOP to identify the ideal primary design factors as well as the single-objective optimization problem to minimize the difference between the variable levels. Additionally, the Multi-Attributive Ideal–Real Comparative Analysis (MAIRCA) approach is selected to deal with the MOOP. The results of the study are utilized to determine the ideal values for three crucial design parameters in order to create a TSHG with SDGSs.

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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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Determining Partial Gear Ratios of a Two-Stage Helical Gearbox with First Stage Double Gear Sets for Minimizing Total Gearbox Cost

Cited by 6 publications

References 17 publications

Impact of Cycloid’s and Roller’s Dimensional Errors on the Performance of a Cycloidal Drive for Power Transmission

Impact of Cycloid’s and Roller’s Dimensional Errors on the Performance of a Cycloidal Drive for Power Transmission

Solving a Multi-Objective Optimization Problem of a Two-Stage Helical Gearbox with Second-Stage Double Gear Sets Using the MAIRCA Method

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

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