Optimisation of cylindrical gear pairs: A review
Gear pairs effectively transmit power and movement over short distances. Their design is
well-defined in the technical literature, including standards and handbooks. However, the …
well-defined in the technical literature, including standards and handbooks. However, the …
Constrained design optimization of selected mechanical system components using Rao algorithms
The design optimization of mechanical system components, like bearings, pulleys, springs,
etc. is an essential issue due to the current competitive market. The performance of any …
etc. is an essential issue due to the current competitive market. The performance of any …
[HTML][HTML] Machine learning based nominal root stress calculation model for gears with a progressive curved path of contact
U Urbas, D Zorko, N Vukašinović - Mechanism and Machine Theory, 2021 - Elsevier
The study aims to investigate the possibility of employing machine learning models in the
design of non-involute gears. Such a model would be useful for design calculations of non …
design of non-involute gears. Such a model would be useful for design calculations of non …
Tooth bending strength of gears with a progressive curved path of contact
The article presents a comprehensive study on the tooth bending strength of spur gears with
a progressive curved path of contact, or so-called S-gears. Systematic gear meshing …
a progressive curved path of contact, or so-called S-gears. Systematic gear meshing …
[HTML][HTML] Multi-objective optimization of hypoid gears to improve operating characteristics
VV Simon - Mechanism and Machine Theory, 2020 - Elsevier
In this paper a multi-objective optimization method of hypoid gears correlating to the
operating characteristics is presented. Optimal design of hypoid gears demands that …
operating characteristics is presented. Optimal design of hypoid gears demands that …
Potentials and challenges in enhancing the gear transmission development with machine learning methods—a review
S Sendlbeck, M Maurer, M Otto, K Stahl - Forschung im Ingenieurwesen, 2023 - Springer
The electrification of vehicle powertrains and the expected engineering labor shortage are
ongoing key challenges in the gear transmission development. Because traditional methods …
ongoing key challenges in the gear transmission development. Because traditional methods …
Application of evolutionary optimization techniques in reverse engineering of helical gears: an applied study
Reverse engineering plays an important role in the manufacturing and automobile industries
in designing complicated spare parts, reducing actual production time, and allowing for …
in designing complicated spare parts, reducing actual production time, and allowing for …
Identification of motor control objectives in human locomotion via multi-objective inverse optimal control
M Tomasi, A Artoni - Journal of Computational and …, 2023 - asmedigitalcollection.asme.org
Predictive simulations of human motion are a precious resource for a deeper understanding
of the motor control policies encoded by the central nervous system. They also have …
of the motor control policies encoded by the central nervous system. They also have …
Infrastructure Asset Management System Optimized Configuration: A Genetic Algorithm–Complex Network Theoretic Metamanagement Approach
An effective infrastructure asset management (AM) system is crucial for utilities, city officers,
government agencies, and other asset-owning organizations to facilitate navigating the …
government agencies, and other asset-owning organizations to facilitate navigating the …
Optimal weight design of a spur gear train using Rao algorithms
R Venkata Rao, RB Pawar - Intelligent Computing Applications for …, 2020 - Springer
In many power transmission high-performance applications, the weight of the gear train is
required to be minimized. The weight minimization of a spur gear train as an objective …
required to be minimized. The weight minimization of a spur gear train as an objective …