The optimisation of internal gears

Tong, Baohong; Walton, D.

doi:10.1016/s0890-6955(87)80021-4

Cited by 9 publications

(2 citation statements)

References 2 publications

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“…Their application in agricultural, automotive, manufacturing, power generation, aerospace, and marine industries further demonstrates the potential for improvement that could be realized through optimization studies. The optimization of gear systems has been extensively investigated and the literature surveyed identifies the application of computational methods as early as the 1970s [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Design optimization of a three-stage transmission using advanced optimization techniques

Maputi

Arora

2019

Int. J. Simul. Multidisci. Des. Optim.

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Gear transmission systems are very important machine elements and their failure can lead to losses or damage of other mechanical components that comprise a machine or device. Since gears are applied in numerous mechanical devices, there is need to design and subsequently optimize them for intended use. In the present work, two objectives, viz., volume and center distance, are minimized for a rotary tiller to achieve a compact design. Two methods were applied: (1) analytical method, (2) a concatenation of the bounded objective function method and teaching–learning-based optimization techniques, thereby improving the result by 44% for the former and 55% for the latter. Using a geometric model and previous literature, the optimal results obtained were validated with 0.01 variation. The influence of design variables on the objective functions was also evaluated using variation studies reflecting on a ranking according to objective. Bending stress variation of 12.4% was less than contact stress at 51% for a defined stress range.

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Section: Introductionmentioning

confidence: 99%

Design optimization of a three-stage transmission using advanced optimization techniques

Maputi

Arora

2019

Int. J. Simul. Multidisci. Des. Optim.

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“…The problem is solved using multistart approach of MATLAB global optimization toolbox and value of global optimum function is obtained considering all the local optimum solutions of problem. Tong and Walton [3] also selected center distance and volume as objectives for the internal gears. Numbers of teeth of gear and pinion and modules are considered as variables for the optimization and "belt zone search" and "half section algorithm" are applied as optimization methods.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimization of Two-Stage Helical Gear Train Using NSGA-II

Sanghvi¹,

Vashi²,

Patolia³

et al. 2014

Journal of Optimization

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Gears not only transmit the motion and power satisfactorily but also can do so with uniform motion. The design of gears requires an iterative approach to optimize the design parameters that take care of kinematics aspects as well as strength aspects. Moreover, the choice of materials available for gears is limited. Owing to the complex combinations of the above facts, manual design of gears is complicated and time consuming. In this paper, the volume and load carrying capacity are optimized. Three different methodologies (i) MATLAB optimization toolbox, (ii) genetic algorithm (GA), and (iii) multiobjective optimization (NSGA-II) technique are used to solve the problem. In the first two methods, volume is minimized in the first step and then the load carrying capacities of both shafts are calculated. In the third method, the problem is treated as a multiobjective problem. For the optimization purpose, face width, module, and number of teeth are taken as design variables. Constraints are imposed on bending strength, surface fatigue strength, and interference. It is apparent from the comparison of results that the result obtained by NSGA-II is more superior than the results obtained by other methods in terms of both objectives.

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Design Optimization of a Spur Gear Train Using TLBO and ETLBO Algorithms

Rao

2015

Teaching Learning Based Optimization Algorithm

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The optimisation of internal gears

Cited by 9 publications

References 2 publications

Design optimization of a three-stage transmission using advanced optimization techniques

Design optimization of a three-stage transmission using advanced optimization techniques

Multi-Objective Optimization of Two-Stage Helical Gear Train Using NSGA-II

Design Optimization of a Spur Gear Train Using TLBO and ETLBO Algorithms

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