N-Hance: Software for Identification of Critical BSR Locations in Automotive Assemblies using Finite Element Models

Naganarayana, Basavapatna P.; Shankar, S.; Bhattachar, V. S.; Brines, Robert S.; Rao, Srihari R.

doi:10.4271/2003-01-1522

Cited by 21 publications

(4 citation statements)

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“…Design factors that contribute to geometric variation management, such as the part-or assembly-level manufacturing variations, connection configuration in an assembly (Söderberg et al 2012), material properties, form and structural properties of parts can change the clearance and interface forces (Wärmefjord, Söderberg & Lindkvist 2013) in critical interfaces for S&R. This can potentially increase the risk for S&R generation by causing the poor control of the relative motion of the parts in the S&R critical interfaces (Kavarana & Rediers 1999;Trapp & Chen 2012). Indeed, deviation from the nominal gap and the prescribed assembly preloads might increase the risk for the impact and the unstable friction events that are the principal phenomena behind the generation of S&R. Despite the importance of geometric variation in preventing S&R, the practical use of geometric variation analysis limits to adjusting the interface clearance targets in design evaluation analyses, such as the clearance considerations in S&R contact point analysis (Daams 2009) and structural dynamic simulations to analyse S&R events (Naganarayana et al 2003;Trapp & Chen 2012;Weber & Benhayoun 2012;Benhayoun et al 2017). Geometry assurance (Söderberg et al 2016) refers to a set of activities aiming at minimising the effect of manufacturing geometrical variations on the quality of the final product.…”

Section: Geometric Robustness and Sandrmentioning

confidence: 99%

Geometric robustness and dynamic response management by structural topometry optimisation to reduce the risk for squeak and rattle

et al. 2022

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Historically, squeak and rattle (S&R) sounds have been among the top quality problems and a major contributor to the warranty costs in passenger cars. Geometric variation is among the main causes of S&R. Though, geometric variation analysis and robust design techniques have been passively involved in the open-loop design activities in the predesign-freeze phases of car development. Despite the successful application of topometry optimisation to enhance attributes such as weight, durability, noise and vibration and crashworthiness in passenger cars, the implementation of closed-loop structural optimisation in the robust design context to reduce the risk for S&R has been limited. In this respect, the main obstacles have been the demanding computational resources and the absence of quantified S&R risk evaluation methods. In this work, a topometry optimisation approach is proposed to involve the geometric variation analysis in an attribute balancing problem together with the dynamic response of the system. The proposed method was used to identify the potential areas of a door component that needed structural reinforcement. The main objective was to enhance the design robustness to minimise the risk for S&R by improving the system response to static geometrical uncertainties and dynamic excitation.

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Section: Geometric Robustness and Sandrmentioning

confidence: 99%

Geometric robustness and dynamic response management by structural topometry optimisation to reduce the risk for squeak and rattle

et al. 2022

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“…Nhance.BSR developed by Lohitsa Inc. appears to be such a viable tool for potential BSR locations identification. Application studies with this software can be found in [6] and [7]. While the turnaround time for frequency analysis based BSR simulations is relatively short, the upfront modeling effort is somewhat tedious in order to capture all the design details down to individual clips.…”

Section: Bsr -Buzz Squeak and Rattlementioning

confidence: 99%

Analytical Design of Cockpit Modules for Safety and Comfort

Lin

Pitrof

2004

SAE Technical Paper Series

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This paper reviews the state of the art on analytical design of cockpit modules in two most crucial performance categories: safety and comfort. On safety, applications of finite element analysis (FEA) for achieving robust designs that meet FMVSS 201, 208 and 214 requirements and score top frontal and side NCAP starratings are presented. On comfort, focus is placed on Noise, Vibration and Harshness (NVH) performance. Cutting-edge analytical tools for Buzz, Squeak and Rattle (BSR) avoidance and passenger compartment noise reduction are demonstrated. Most of the analytical results shown in this paper are based on the development work of a real-life application program. Correlations between the analytical results and physical test results are included. Examples of Computational Fluid Dynamics (CFD) analysis for climate control are also included. At the end, the road map toward 100 percent virtual prototyping and validation is presented.

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“…Therefore, further investigations have to be accomplished in order to account for these phenomenas in an early stage of product development and thus reducing the cost of secondary measures. Since the field of SAR noise generation is not limited to the automotive sector, it is well studied and documented in the literature (13)(14)(15)(16)(17)(18)(19) .…”

Section: Introductionmentioning

confidence: 99%

“…and (10), the equation of motion finally takes the form ̈=̃− 1 [−̃−̃̇] can easily be seen now, that the exponents in equations(12)and(13) lead to a coupling of the equations of motion. As mentioned before, this is usually the case in the presence of friction forces.Copyright  2018 Society of Automotive Engineers of Japan, Inc. All rights reserved…”

mentioning

confidence: 98%

Model Reduction Technique for Analysing Friction-Induced Vibrations and Radiated Sound

Weisheit

Marburg

2018

IJAE

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A novel approach for the calculation of friction induced vibration is presented and applied to a real life example. The balance equations of continuum mechanics representing the underlying physics are simplified and then solved numerically. First, a linearised model of the example system is built to extract modal parameters such as eigenvalues and eigenvectors. A subset of eigenvectors is then used to calculate the system's response due to friction related excitation. This non-linear vibration is calculated by utilising an explicit time integration scheme. With the use of a subset of eigenvectors the degree of freedom of the system is reduced drastically, leading to considerable reduction of computational effort. The solution is compared to results from adequate experiments. Although developed in a context of noise calculation in the automotive sector, this work focuses on the calculation of friction induced vibration, rather than on noise prediction. Nevertheless, as an example the resulting noise of the vibrating system is estimated by means of the Equivalent Radiated Power (ERP).

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N-Hance: Software for Identification of Critical BSR Locations in Automotive Assemblies using Finite Element Models

Cited by 21 publications

References 0 publications

Geometric robustness and dynamic response management by structural topometry optimisation to reduce the risk for squeak and rattle

Geometric robustness and dynamic response management by structural topometry optimisation to reduce the risk for squeak and rattle

Analytical Design of Cockpit Modules for Safety and Comfort

Model Reduction Technique for Analysing Friction-Induced Vibrations and Radiated Sound

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