Balancing Method for a Rigid Rotor Considering Constraint of the Correction Mass.

Fujisawa, Fumio; Kojima, Tohru; Terayama, Takao; Shiohata, Koki; Yokota, Hajime

doi:10.1299/kikaic.59.386

Cited by 3 publications

(2 citation statements)

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“…The unbalance could be eliminated by de-weighting or aggravating to achieve the purpose of highprecision balance. Fujisawa et al [5] proposed an improved balancing method which reduce the correction masses by adapting both residual vibration and correction mass as parameters of the performance function. Chouksey et al [6] attempted experimental studies in finite element model updating of an actual rotor system mounted on ball bearings by using Inverse Eigen Sensitivity Method (IESM), and the final result shown that the updated finite element model of the rotor system can be efficiently used to predict the unbalance in the rotor.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Vision-Based Method for Rotor Dynamic Balance System

Chung

Chen

2021

IEEE Access

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This paper presents a new adaptive vision-based method (AVBM) of performing automatic detection for rotor balancing, and the online implementation proved that the method achieved rapid real-time optimization of system balancing configuration for a rotor dynamic balance machine. The proposed AVBM integrated 3D sensors and dynamic balancing platform using 3D computer vision technique and dynamic balance algorithm to improve the efficiency of rotor dynamic balancing. AVBM applied 3D ToF sensors on active rotor dynamic balance machines to grab 3D point cloud of rotor shaft and balance sprues. By 3D depth data, the background noise can be removed to detect the positions of shaft center, key phasor and balance sprues of rotor automatically. After combining with unbalance vector from dynamic balancing machine, the AVBM system calculated the optimal balance configuration by the vector analysis algorithm. Compares to conventional methods, conventional rotor dynamic balancing process relies on technicians to mount washers on particular balance sprues based on their experience, therefore uncertainty causes productivity decline. Experiments in industrial examples showed that the proposed AVBM required fewer rounds to achieve acceptance, whereas the conventional industrial rotor balancing method performed by operators required more than three rounds in average. Consider the overall dynamic balancing process for the motor, the processing time required for each motor without AVBM was 348.9 seconds, and the daily rotor balancing count of each dynamic balancing machine was 83. The processing time with AVBM was shortened from 348.9 to 283.9 seconds, the daily rotor balancing count had increased from 83 to 101, and the production improvement had reached 22 %. That is, the proposed AVBM can accurately analyze the dynamic balance and greatly reduce the redundant dynamic balance operations. The main advantage of the proposed AVBM over conventional methods is its efficiency, effectiveness and robustness in online optimization of rotor dynamic balance.

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Section: Introductionmentioning

confidence: 99%

Adaptive Vision-Based Method for Rotor Dynamic Balance System

Chung

Chen

2021

IEEE Access

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“…Balancing rotors that are not isotropic involve different considerations now being regularly addressed [7]. Computing suitable unbalance corrections subject to bounding constraints on the unbalance corrections is now perceived to be an issue [8], as is computing suitable unbalance corrections given multiple criteria [9].…”

Section: Introductionmentioning

confidence: 99%

Robust balancing for rotating machines

Garvey

Friswell

Williams

et al. 2002

Proceedings of the Institution of Mechanical Engineers, Part C:

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The balancing of rotors divides broadly into two categories: balancing in situ and balancing in a balancing machine. In the latter case, the most common practice is to arrange balance corrections on the rotor such that the net excitations of each of the four in-plane rigid-body modes of the free rotor is zero by deploying balance corrections on two independent planes. In a small proportion of cases, the net excitations of the rst pair of exural modes are also zeroed using a third correction plane. This paper proposes that, when rotors are balanced in a balancing machine (not similar to the machine stator), substantially more utility can be gained from the balancing operation by combining a suitably weighted account of the speci c balancing requirements of the machine with knowledge of the expected machine characteristics than can be achieved by ignoring this knowledge. A single cost function is established based on a numerical model of the machine. Then, depending on circumstances, either the expected value of this cost function or its worst possible value can be minimized.The methods proposed require that relatively detailed knowledge of the distribution of residual unbalance be obtained experimentally. The paper brie y discusses some practical methods for how such information might be extracted. The de nition of the cost function as a matrix quadratic form provides potentially valuable information about the necessary number and the optimal location of balance planes on a given rotor, and methods for determining an optimal set of balance planes are outlined.

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Three-Dimensional Image Inpainting System Using 3D-ED-GAN for Efficient Vision-Based Detection for Rotor Dynamic Balance System

Chung

Chen

2022

IEEE Access

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Balancing Method for a Rigid Rotor Considering Constraint of the Correction Mass.

Cited by 3 publications

References 0 publications

Adaptive Vision-Based Method for Rotor Dynamic Balance System

Adaptive Vision-Based Method for Rotor Dynamic Balance System

Robust balancing for rotating machines

Three-Dimensional Image Inpainting System Using 3D-ED-GAN for Efficient Vision-Based Detection for Rotor Dynamic Balance System

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