A Study on Optimization of Planetary Gear Trains

Filiz, Ibrahim; Olguner, S.; Evyapan, E.

doi:10.12693/aphyspola.132.728

Cited by 9 publications

(8 citation statements)

References 8 publications

(7 reference statements)

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“…Improvement is very important in academic studies. Scientists used different methods intending to improve their work [12][13][14].…”

Section: Taguchi Methodsmentioning

confidence: 99%

Еxpeгimental investigаtion of сutting cоnditions рarameters on surfаce roughness in aluminum alloys (AL-2024)

Huayier

2022

QJES

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The purpose of this search is to study the main factors on the surface roughness in (AL-2024) using a CNC milling machine for an HSS tool with flat end milling. And by using the Taguchi experience design method to conserve time and costs. To determine the optimal values of surface roughness using Taguchi optimization. We then performed an analysis of variance and regression. Confirmation tests were performed to verify work. The cutting process consists of two stages; the first stage is the cutting process in the upper direction of the cutting, using a coolant and dry cutting. The second stage is the cutting process in the lower direction of the cut, using a coolant and dry cutting the results show the best operating condition to obtain the best surface roughness of the product by using the bottom grinding, measuring the surface process surface roughness using the cutting conditions of the cutter (feeding) = 15 mm/min), (cutting depth = 1 mm) and (cutting speed = 37.68 (m/min) surface roughness (Ra = 0.17 µm) compared with the other value obtained.

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“…Improvement is very important in academic studies. Scientists used different methods intending to improve their work [12][13][14].…”

Section: Taguchi Methodsmentioning

confidence: 99%

Еxpeгimental investigаtion of сutting cоnditions рarameters on surfаce roughness in aluminum alloys (AL-2024)

Huayier

2022

QJES

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“…Optimization is very important in academic studies. Scientists use different optimization methods in their works [14][15][16]. In this study Taguchi method was chosen to optimize results.…”

Section: Taguchi Methodsmentioning

confidence: 99%

Experimental Investigation of Surface Roughness of Cutting Parameters in T6 Aluminum Alloy Milling Process

Özsoy

2019

International Journal of Computational and Experimental Science and Engineering

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In this study, optimum machining conditions were determined by investigating the surface roughness of the 7075-T6 aluminum alloy milling, depending on the spindle speed (rpm), feed per tooth (Fz-mm/tooth) and the cooling type parameters. Taguchi experiment design method was used to save time and cost. Experiments were based on the Taguchi L16 orthogonal array and signal/noise (S/N) ratios were used in the evaluation of the test results. Optimum surface roughness values were determined with Taguchi optimization. In addition, variance analysis and regression analysis were performed. Confirmation tests were conducted to verify the work. As a result of the confirmation tests, it was found that the surface roughness optimization in the milling of the 7075-T6 aluminium alloy was successfully applied.

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“…The subscripts s, p and r are used for sun, planet and ring gear respectively Gears in gear boxes sometimes get short life due to wear and breakage by repetitive load during operation time [8], the two primary failure modes for gears [5] (as shown in Figure 3) are:…”

Section: Gear Geometry and Stresses On Gear Toothmentioning

confidence: 99%

“…Sun gear is always located at the center and transmits torque to planet gears orbiting around the sun gear. The planet gears are mounted on an arm or carrier (surrounded by the ring gear) that fixes the planets in an orbit relative to each other [5]. Planetary gears are found in many variations and arrangements in order to meet a broad range of speed ratios in the design requirements.…”

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confidence: 99%

Multi-Objective Optimization of Planetary Gear Train Using Genetic Algorithm

Nasr

Maalawi

Yihia³

2022

Journal of International Society for Science and Engineering

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Planetary gearboxes are used in different industrial fields such as automobiles, helicopters, heavy machinery and wind turbines. They have many advantages such as compact dimensions, less noise, high gear ratio and higher torque-to-weight ratios, compared to standard parallel axis gearboxes. This paper presents a multi-objective optimization model for minimizing the mass of a planetary gear train and maximizing gear ratio under the constraints of gear teeth bending stress, contact stress and side constraints .The selected design variables are the module, gear teeth width, number of teeth for both sun and planet gears, inner diameter of both sun and planet gears and the outer diameter of the ring gear. Different types of materials for the planetary gears have been studied. The optimization problem has been formulated and solved using the Genetic Algorithm (GA). The obtained results indicated that the optimum mass of the planetary gear train has maximum values in case of stainless steel while has relatively equal values in case of plastic material. The maximum gear ratios were observed in case of 1.1 KW input power

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A Study on Optimization of Planetary Gear Trains

Cited by 9 publications

References 8 publications

Еxpeгimental investigаtion of сutting cоnditions рarameters on surfаce roughness in aluminum alloys (AL-2024)

Еxpeгimental investigаtion of сutting cоnditions рarameters on surfаce roughness in aluminum alloys (AL-2024)

Experimental Investigation of Surface Roughness of Cutting Parameters in T6 Aluminum Alloy Milling Process

Multi-Objective Optimization of Planetary Gear Train Using Genetic Algorithm

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