Fatigue Life Analysis and Optimization of a Passenger Car Steering Knuckle Under Operating Conditions

Sivananth, V.; Vijayarangan, S.

doi:10.15282/ijame.11.2015.22.0203

Cited by 19 publications

(11 citation statements)

References 13 publications

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“…It covers all types of materials such as steel, aluminium, composites, as well as biomaterial metallic [5]. Apart of many techniques such as locating the strain gauge at the expected crack sources, dye penetrating, and ultrasonic and the finite element analysis [6,7], the AE technique also has been widely used in evaluating the fatigue damage mechanism. It can locate the crack location, monitor the crack propagation, and come up with a solution to predict the fatigue life [8].…”

Section: Introductionmentioning

confidence: 99%

Fatigue damage monitoring using un-supervised clustering method of acoustic emission signal on SAE 1045 steel

Mohammad

Tajuddin

Abdullah³

et al. 2022

Int. J. Automot. Mech. Eng.

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This paper described the capability of acoustic emission (AE) technique in monitoring the fatigue damage level using unsupervised clustering technique. As fatigue damage is being a major contributing factor to component failure, it is essential to evaluate the level of damage caused by fatigue load in order to prevent the catastrophic failure of the structure. It is a concern in this study to differentiate the AE signals according to the fatigue damage stages by implementing an unsupervised clustering technique. In this study, the AE signals were collected on specimens made of medium carbon steel SAE 1045 that underwent the axial fatigue testing. The test was run at three loading values of 600, 640 and 680 MPa. The pattern behaviour of AE signals was recorded using a piezoelectric sensor in a form of time domain history signal. Later, the AE signals collected were analysed and clustered using K-means technique. Five clusters of K1, K2, K3, K4, and K5 have been found for the specimens subjected to stress value of 600-680 MPa. The optimum numbers of K clusters were determined using the smallest objective function in their group which ranges between 2.6 to 3.0. This pilot investigation shows that it may be useful to estimate the remaining life for a component before it fails.

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Section: Introductionmentioning

confidence: 99%

Fatigue damage monitoring using un-supervised clustering method of acoustic emission signal on SAE 1045 steel

Mohammad

Tajuddin

Abdullah³

et al. 2022

Int. J. Automot. Mech. Eng.

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“…The brittleness of most composite materials, the possibility of using highly orthotropic laminates to promote high stress concentrations, and the anisotropy in both strength and stiffness properties have to be taken into account when designing composite joints [1]. The joint efficiency and strength when using composites are much lower than those obtained in metallic materials, thereby hindering the widespread application of composites [3][4][5][6]. Digital image correlation for measuring displacement on solid surfaces was introduced in the 1980s by researchers at the University of South Carolina [7].…”

Section: Introductionmentioning

confidence: 99%

Experimental analysis of composite bolted joints using digital image correlation

Haris¹,

Tay²,

Tan³

2017

J. MECH. ENG. SCI.

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In this work, the application of the digital image correlation (DIC) technique to experimentally study progressive damage of single-lap composite bolted joints is explored. This technique is also used to provide surface strain fields and to analyse outof-plane phenomena of the joints due to the effect of laminate pattern, laminate thickness, fastener size, fastener type and bushing. The specimens were manufactured from plain weave carbon/epoxy composites. The bearing test was conducted in accordance with ASTM D5961/D5961M-13. The digital image correlation was performed using the commercial Vic-3D digital image correlation system. It was found that strain concentrations observed in the specimens can be used to identify full-field damage onset and to monitor damage progression during loading. Moreover, there is interaction between laminate pattern, laminate thickness, fastener size, fastener type and bushing on bearing strengths (ultimate and 2% offset bearing strengths), surface strain concentrations and out-of-plane displacement. The DIC results can potentially be used to develop and accurately validate numerical models.

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“…The Miner's fatigue life summation rule is used to estimate the fatigue life of the wire ropes [18]. Classical fatigue analysis based on the equivalent nominal stress ranges with the Goodman and/or Gerber approach is employed for interpolation or extrapolation of fatigue behaviour with the axial mean stress effect [13,14,[19][20][21][22][23]. This classical method is a phenomenological approach based on the mean load over the net section area of the wire rope.…”

Section: Introductionmentioning

confidence: 99%

Methodology for reliability assessment of steel wire ropes under fretting fatigue conditions

Salleh¹,

Abdullah

Abdulhamid³

et al. 2017

J. MECH. ENG. SCI.

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This paper describes a newly-developed damage-based fatigue life model for the longterm reliability assessment of drawn steel wires and wire ropes. The methodology is based on the computed local stress field in the critical trellis contact zone of a stranded wire rope by FE simulations and the estimated fretting damage of the drawn wire material. A case study using a single strand (1x7) steel wire rope with 5.43 mm-dia. drawn wires is employed to demonstrate the damage-based fatigue life prediction procedures. Under applied tensile loading with peak stress corresponding to 50%MBL (P = 145 kN, R = 0.1), the von Mises stress cycles in-phase and with an identical stress ratio to the applied axial load. The damage initiation life at the trellis contact along the core wire is No = 673 cycles with an additional 589 load cycles to reach the first separation of the material point. The threshold load cycle for the fretting fatigue damage is predicted to be 12.3%MBL. An improved data set of the damage model parameters of the drawn steel wires is indispensable in achieving an accurate and validated life prediction model.

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Fatigue Life Analysis and Optimization of a Passenger Car Steering Knuckle Under Operating Conditions

Cited by 19 publications

References 13 publications

Fatigue damage monitoring using un-supervised clustering method of acoustic emission signal on SAE 1045 steel

Fatigue damage monitoring using un-supervised clustering method of acoustic emission signal on SAE 1045 steel

Experimental analysis of composite bolted joints using digital image correlation

Methodology for reliability assessment of steel wire ropes under fretting fatigue conditions

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