Vehicle Design for Robust Driveline NVH Due to Imbalance and Runout Using a Monte Carlo Process

Qatu, Mohamad S.; King, Roger L.; Wheeler, Rachel; Shubailat, Omar

doi:10.4271/2011-01-1546

Cited by 9 publications

(4 citation statements)

References 9 publications

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“…They also emphasize the need to broaden the concept of product reliability to include these failures. In a case from the automotive industry, Qatu et al (2011) claim that more than one-fourth of all warranty claims were connected to noise and vibration. Certainly many of these problems could be found to have technical failure root causes, but their effects are perceived as interactive failures.…”

Section: Models Of Product Reliability and Failurementioning

confidence: 99%

Model-based reliability analysis

Lindén¹,

Sellgren

Söderberg

2016

AIEDAM

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The main function of a heavy truck is to transport goods, with ton-kilometers/year as an example of a major quantitative performance measure. Furthermore, the truck is directly operated by a driver, who has several additional functional requirements, of both ergonomic and communicative characters. Failure of these functions may be a subjective experience, differing between drivers, but the failures are still important. Today's just-in-time delivery systems rely on getting the goods on time, and this requires high availability. Availability is reduced not only by technical failures but also by subjectively experienced failures, because these also require repairs, or downtime. Product reliability is a systems property that cannot be attributed to a single component. It is in many cases related to interaction between components, or to interaction between humans and the technical system, in the case of subjectively experienced failures. Reliability assessments of systems with interactive functions require a system model that includes the interfaces between the technical system and human features that are carriers of interactive functions. This paper proposes a model of system architecture, for the purpose of reliability assessments, that integrates different and complementary representations, such as function–means diagrams and a design structure matrix. The novelty of the presented approach is that it treats and integrates the technical and the human subsystems through the human–technical system interfaces. The proposed systems reliability approach is described and verified with a component analysis case study of an extended truck cab and driver system.

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Section: Models Of Product Reliability and Failurementioning

confidence: 99%

Model-based reliability analysis

Lindén¹,

Sellgren

Söderberg

2016

AIEDAM

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“…As a result of the optimization, the angular velocity fluctuation was 0.025% after the improvement, whereas it was 0.150% before the improvement. Meanwhile, the imbalance which is generally occurred by runout in the rotating parts of the drive system is generally managed through design perspective [29]. Moreover, Steyer [26] proposed modal mapping strategies for driveline systems based on finite element analysis (FEA).…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Active Control of Booming Noise Inside a Vehicle Caused by the Engine and the Driveline

Kim¹,

Altınsoy²

2022

IEEE Access

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“…Balancing of the shaft has significant effect on vehicle NVH performance. 3,4 Thus, a lot of effect has been made to control the dynamic balance of the transmission shaft during the development stage. Normally, for a multi-section shaft system, each section of the shaft is balanced to the specification as per the G40 dynamic balance standard in ISO-1940-1:2003.…”

Section: Introductionmentioning

confidence: 99%

Field balancing of vehicle transmission shaft based on the influence coefficient method

Chu

Huang

Yang

2018

Noise & Vibration Worldwide

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Imbalance of transmission shaft may result in serious bearing failures and poor vehicle noise, vibration, and harshness performance. Usually, shafts in a multi-shaft system are balanced separately before been assembled in vehicle. This causes potential out of balance issue in the full vehicle level in the field due to tolerance stacking up and dynamic imbalance coupling. In this article, a system level balancing method, the influence coefficient method, is introduced and applied to solve the problem of excessive floor panel vibration. The balancing result shows that the first-order vibration from vehicle transmission shaft imbalance obviously decreased. Method applied in this article is simple and practical and could be used for other applications to prevent bearing failure or noise, vibration, and harshness issue due to vehicle level imbalance.

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Vehicle Design for Robust Driveline NVH Due to Imbalance and Runout Using a Monte Carlo Process

Cited by 9 publications

References 9 publications

Model-based reliability analysis

Model-based reliability analysis

Comprehensive Active Control of Booming Noise Inside a Vehicle Caused by the Engine and the Driveline

Field balancing of vehicle transmission shaft based on the influence coefficient method

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