Lifetime Test of Tracked Vehicle Torsion Bars using Monte Carlo Method

Furch, Jan; Nguyen, Quy Hung

doi:10.28991/esj-2020-01238

Cited by 7 publications

(6 citation statements)

References 7 publications

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“…, and by substituting equations from Equation (28) to Equation (31) into Equation ( 17), the equation of the NCGs profile is obtained as follows:…”

Section: 2 the Profile Equation Of The Driven Gearmentioning

confidence: 99%

“…Therefore, this study provides a novel profile reference in the NCG design for the theory of gearing. Also, with high load capacity, can apply the novel profile proposed by this study to design noncircular gear drives for high torque equipment such as trailing edge flap system of wind turbine rotor blade or helicopter blade [30], bowling machines [31] or steering controller of tracked vehicles [32].…”

Section: 2 Experimental Measurement Of Gear Ratiomentioning

confidence: 99%

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A Novel Curve for the Generation of the Non-circular Gear Tooth Profile

2022

IJE

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This paper presents a novel curve generated by a point attached to an ellipse as it rolls without slipping along a datum line of rack cutter. A mathematical model of the non-circular gear profile has been developed based on the theory of gearing. The effect of an axial ratio  (the ratio of the lengths of the major and minor axes of the ellipse) and the position of the point KR, at which the novel curve starts to generate on the tooth shape and the undercut of the non-circular gear pair is also taken into consideration. A numerical program developed from the mathematical model has been proposed for the calculation and design of the non-circular gears (NCGs). Case studies are presented to show the steps of tooth shape design and to examine the geometrical profile of the NCGs in relation to design parameters of the rack cutter etc. From that, the axial ration  and position of the point KR on the generating ellipse ƩE can be selected for each specific case in order to design the appropriate profiles of the NCGs. On that basis, an experiment to determine the gear ratio of the NCGs pair based on the meshing between gears has manufactured.

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“…, and by substituting equations from Equation (28) to Equation (31) into Equation ( 17), the equation of the NCGs profile is obtained as follows:…”

Section: 2 the Profile Equation Of The Driven Gearmentioning

confidence: 99%

Section: 2 Experimental Measurement Of Gear Ratiomentioning

confidence: 99%

A Novel Curve for the Generation of the Non-circular Gear Tooth Profile

2022

IJE

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“…However, it is extremely difficult to conduct diverse experiments using a single system. Studies have been conducted to obtain various experimental results using data generation methods such as Monte Carlo [29]. If the data in various systems are considered as one, the domain of the training data can be expanded, and various characteristics and specifications can be applied to the models without a specific method.…”

Section: Introductionmentioning

confidence: 99%

Fault Diagnosis of Bearings With the Common-Domain Data

Kim

Chai

2022

IEEE Access

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Rolling element bearings are one of the important components in rotating machines. Therefore, many studies on bearing diagnosis have been conducted with artificial intelligence (AI) to do maintenance on the machines on time. In general, AI successfully diagnoses the defects of bearing when it is trained with the sufficient data of a specific machine, but it hardly provides reasonable results when it is untrained or insufficiently trained. However, it is hard to obtain sufficient data even for a specific machine in practice. In this paper, a new method was developed to increase training data by transferring the cross-domain data into the common-domain data. Therefore, all the data from different kinds of machines with various bearings can be combined as a big training data. Bearings under consideration in this paper have different specifications and characteristics. In transferring into the common-domain, it is important to get rid of structural and environmental noise by signal processing, which makes it plausible to extract common features. With the common-domain data, one-dimensional convolutional neural network (1D-CNN) with feature domain adaptation is applied and successfully classifies the defects of each bearing. Moreover, 1D-CNN combined with support vector machine (SVM) can also classify defects successfully without feature domain adaptation, which makes it possible to train the model only with normal data of the machine in concern. To verify the proposed method, not only the bearing data from Case Western Reserve University and Paderborn University but also the bearing data with flow noise of Ajou University are used.INDEX TERMS Bearing fault diagnosis, common-domain data, convolutional neural network, cross-domain fault diagnosis, domain adaptation, signal processing, support vector machine.

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“…It is reported that the model allows saving money and simulating various torsion bar fatigue processes, including lifetime prediction. 5 In the tracked vehicle suspension for torsion bar spring performance investigation, Hohl 6 found that the effectiveness of the main and small additional torsion bar springs used together to receive the road inputs are analysed and the performance of the torsion bar spring with damper. Gagneza and Chandramohan 7 investigated that the effectiveness of torsion bar spring suspension system in full car tracked combat vehicle with different terrain inputs and the peaks of sprung and un-sprung masses are measured and compared with MATLAB Simulink results.…”

Section: Introductionmentioning

confidence: 99%

Experimental and simulation investigation of vertical response of stepped torsion bar spring for light motor vehicle suspension system

Karuppiah¹,

Ganesan²,

Kasavan

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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The straight torsion bar spring is widely used in automobile and military tankers suspension systems due to less occupation of space and high weight bearing capacity. In this present work, the vertical response of Stepped Torsion Bar Spring (STBS) in Light Motor Vehicle (LMV) suspension is investigated. The STBS consists of two segments in series. The segment-1 is larger diameter when compared to that of segment-2. Three cases of diameter ratio and length ratios combination of STBS are experimented and simulated. A 2-DOF (Degree of Freedom) quarter car model test rig is designed for the experimental work. A harmonic excitation is given as road input though a Cam. The damped and undamped vertical response and frequencies of STBS are experimented. The vertical response and its spectrum analysis are plotted and better responses of the low stiffness STBS is identified for comfort ride and the results are compared with MATLAB Simulink results. The results of the suspension parameters such as tire stiffness, damping coefficient of shock absorber, stiffness of STBS, internal damping of STBS and torsional to linear stiffness are investigated.

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Lifetime Test of Tracked Vehicle Torsion Bars using Monte Carlo Method

Cited by 7 publications

References 7 publications

A Novel Curve for the Generation of the Non-circular Gear Tooth Profile

A Novel Curve for the Generation of the Non-circular Gear Tooth Profile

Fault Diagnosis of Bearings With the Common-Domain Data

Experimental and simulation investigation of vertical response of stepped torsion bar spring for light motor vehicle suspension system

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