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Multi-objective optimization of gear unit design to improve efficiency and transmission error

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TLDR
In this paper, a multi-objective optimization of a gear unit in order to minimize the power loss and the vibrational excitation generated by the meshing, via a multiscale approach that extends from gear contact to the complete transmission, was carried out using a genetic algorithm.
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This article is published in Mechanism and Machine Theory.The article was published on 2022-01-01 and is currently open access. It has received 11 citations till now. The article focuses on the topics: Pressure angle & Macro.

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Research on Multi-objective Optimization Design of Meshing Performance and Dynamic Characteristics of Herringbone Gear Pair under 3D Modification

TL;DR: In this article , a three dimensional (3D) modified tooth surface by grinding wheel along axial to the spiral rise and along radial to the parabolic movement based on the grinding principle and a multi-objective ant lion optimizer model was proposed for optimizing meshing performance and dynamic characteristics of herringbone gear transmission system.
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Original research paper efficiency of the eccentric rolling transmission

TL;DR: In this paper , a kinematic and load distribution analysis is presented with a view to determining the forces and rotational speeds necessary for efficiency calculation, which can further facilitate the optimization of the transmission parameters considering expected operational conditions.
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Towards general performance diagrams to define optimum profile and lead modifications with regard to transmission error in spur and helical gears

TL;DR: In this paper , a semi-analytical definition of optimum combinations of profile relief and lead crown minimising the time-variation amplitudes of transmission error is presented. But no closed-form solutions can be found, general trends are clearly identified, making it possible to define optimum tooth modifications with reasonable precision.
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An efficient process for macro geometry optimization of helical gear pairs considering static transmission error

TL;DR: In this article , an analytical loaded tooth contact analysis (LTCA) model was proposed and verified with the measured transmission error, and the proposed model was divided into three types (based on whether the slice stiffness and extended contact were included) by adjusting the fidelity.
Journal ArticleDOI

Design and manufacturing of a two-stage reduction gearbox with 3d printers

TL;DR: In this article , a two-stage reducer gearbox consisting of spur and helical gear pairs is designed to transmit torques, and the number of revolutions is reduced to 40 rpm from 800 rpm.
References
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Journal ArticleDOI

An overview of evolutionary algorithms in multiobjective optimization

TL;DR: Current multiobjective evolutionary approaches are discussed, ranging from the conventional analytical aggregation of the different objectives into a single function to a number of population-based approaches and the more recent ranking schemes based on the definition of Pareto optimality.
Book

Rolling Bearing Analysis

TL;DR: Rolling bearing types and applications Rolling Bearing Macrogeometry Interference Fitting and Clearance Bearing Loads and Speeds Ball and Roller Loads Contact Stress and Deformation Distribution of Internal Loading in Statically Loaded Bearingings Internal Speeds and Motions Distribution of internal Loading in High Speed Bearing Deflection, Preloading, and Stiffness Statically Indeterminate Shaft - Bearing Systems Lubricant Films in Rolling Element - Raceway Contacts Friction in Fluid-Lubricated Rolling Element- RacewayContacts friction in Rolling Bearingings Rolling Bearing Temperatures Bearing
Journal ArticleDOI

A review on simulation-based optimization methods applied to building performance analysis

TL;DR: The review indicates that future researches should be oriented towards improving the efficiency of search techniques and approximation methods for large-scale building optimization problems; and reducing time and effort for such activities.

An evolutionary algorithm for multiobjective optimization: the strength Pareto approach

TL;DR: A new evolutionary approach to multicriteria optimization the Strength Pareto Evolutionary Algorithm SPEA is proposed which combines various features of previous multiobjective EAs in a unique manner and is characterized as follows.
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