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Since interior noise has a strong effect on vehicle salability, it is particularly important to be able to estimate noise levels accurately by means of simulation at the design stage. The use of sensitivity analysis makes it easy to determine how the analytical model should be modified or the structure optimized for the purpose of reducting vibration and noise of the structural-acoustic systems. The present work focused on a structural-acoustic coupling problem. As the coefficient matrices of a coupled structural-acoustic system are not symmetrical, the conventional orthogonality conditions obtained in structural dynamics generally do not hold true for the coupled system. To overcome this problem, the orthogonality and normalization conditions of a coupled system were derived by us. In this paper, our sensitivity analysis methods are applied to an interior noise problem of a cabin model.

This paper describes a low-cost 48 × 48 element thermal imaging camera intended for use in measuring the temperature in a car interior for advanced air conditioning systems. The compact camera measures 46 × 46 × 60 mm. It operates under a program stored in the central processing unit and can measure the interior temperature distribution with an accuracy of ±0.7°C in range from 0 to 40°C. The camera includes a thermoelectric focal plane array (FPA) housed in a low-cost vacuum-sealed package. The FPA is fabricated with the conventional IC manufacturing process and micromachining technology. The chip is 6.5 × 6.5 mm in size and achieves high sensitivity of 4,300 V/W, which is higher than the performance reported for any other thermopile. This high performance has been achieved by optimizing the sensor's thermal isolation structure and a precisely patterned Au-black absorber that attains high infrared absorptivity of more than 90%.

Regulations on the use of chlorofluorocarbons (CFCs) are being adopted around the world to protect the ozone layer from these chemicals. It is Nissan's position that environmental protection is one of the most important issues facing automotive engineers today. Accordingly, with the aim of ensuring a healthier environment, we have been working for approximately three years on the development of an automotive air conditioning system using the HFC-134a refrigerant in place of CFC-12. Starting with the introduction of this air conditioning system in a new production model scheduled for release in March 1992, the system is expected to be used in all new models for North America by the end of 1993. This paper describes the HFC-134a automotive air conditioning system from the standpoint of the design changes required in comparison with a conventional CFC-12 system and technical measures needed for vehicle application.

The Hybrid FE-SEA method has been used to create fast/efficient model of structure-borne noise in a fully trimmed vehicle from 200Hz to 1kHz. A joint paper is presented which highlights the method and modelling process along with extensive validation results. This paper describes the use of the model to analyze structure borne noise in the full vehicle, design and evaluate the impact of counter-measures. One of the key attributes of the Hybrid FE-SEA method is the ability to predict noise transfer paths in the vehicle. First, results from a Noise Path Analysis are used to identify key contributors to interior noise in the 200Hz-1kHz frequency range. Next potential design strategies for reducing interior noise are introduced along with implications on the model. Finally, sample prediction results illustrating the impact of design changes on interior noise levels are shown along with preliminary experimental validation results.

This paper describes an experimental modal synthesis method for determining the noise characteristics of coupled acoustic-structural systems. This method was developed to provide an essential tool for analyzing passenger compartment noise levels. With this method, it is possible to obtain the coupled acoustic-structural parameters directly from experimental measurements of noise and vibration. The resulting modal parameters provide the basis for predicting how structural modifications will affect interior noise characteristics. This paper presents the theory on which the method is based and gives examples of its application to passenger compartment noise analyses.

This paper presents a new refrigeration lubricant for use with the HFC-134a retrofit refrigerant in automotive air-conditioning systems originally designed to use the CFC-12 refrigerant, one of the regulated CFCs scheduled to be phased out. This new retrofit lubricant provides high lubricity and excellent performance characteristics as a result of adopting a newly developed PAG base oil with a block polymer structure and a new antiwear additive formulation. In retrofit systems, it assures sufficient durability for wobble-plate-type variable displacement compressors, which experience severe lubrication conditions.

A theoretical and experimental vibration analysis was carried out on the vehicle equipped with independent rear suspension in order to reduce the interior noise. As the results it is confirmed that the following items have the great effects on the transmission of exciting force; namely: (l) Coil-spring location (2) Dynamic stiffness of mounting insulator (3) Rigidity of suspension-member (4) Rigidity of body structure where suspension is mounted These results were applied to the actual new type of vehicle and its interior noise was measured and three-four dB (A) of noise reduction was obtained.

In order to calculate efficiently the characteristics of car body vibration and the acoustic characteristic of the passenger compartment, a structural-acoustic analysis system, ‘CAD-B’, was developed. This system divides the body into three components - front body, main cabin and rear body. The characteristics of front and rear body vibration are expressed in modal parameters. The vibration characteristic throughout the car body is then calculated through the building block approach, while the main cabin remains in finite elements. A good agreement in eigen pairs was seen between this approach and the conventional finite element method. As for the passenger compartment, it is divided into finite elements and its eigen pairs are calculated. Then by linking body vibration with the acoustic characteristic of the passenger compartment, sound pressure in the passenger compartment is calculated.

Reduction of interior noise is an important factor in vehicle design and many experimental and theoretical studies have been carried out to find effective noise reduction techniques. Previously, we developed a Structural-Acoustic Uncoupled Program, ACOUST3, as a technique for estimating low-frequency noise in the vehicle interior. In the present work, ACOUST3 has been extended to construct an acoustic coupling analysis system, ASCA, which is used to calculate low-frequency noise, such as boom noise. In order to calculate low-frequency noise accurately, it is necessary to represent the vibration characteristics of the trimmed body as closely as possible. To do this, we built a trimmed body model, incorporating 22 trim parts, based on vibration test results, and found that the calculated results obtained with the model correlated well with experimental data.

The relationship between the spectrum structures of passenger compartment noise and the results of subjective evaluations of sound quality-has been studied on a fron-wheel-drive car with a four cylinder engine. As a result of an analysis using a car interior noise simulator, which is a kind of digital sound shynthesizer, most of the sound quality indicies such as the crank rumble noise, the roughness or unstable characteristics, and the muddiness were found to be related to the structure of engine revolution harmonics and to the strength of fourmants. Further, the physical mechanisms which characterize these spectrum structures were identified through both engine running tests and shaker tests. As a results, the dominant factors governing sound quality problems were found to be the crankshaft bending or torsional vibration coupled with the total power plant vibration shystem.

This paper describes the equivalent temperature based on the mesh-free simulation proposed by the previous papers (Part1 and Part2) under the transient heating condition in a 3D-CAD vehicle cabin including the thermal manikin which takes into account the clothing shape. For this purpose, firstly, the experiments of vehicle cabin measuring for the thermal environment including the equivalent temperature are carried out under the transient heating condition. Then, the calculated results of the thermal environment in the vehicle cabin are compared with time series experimental data under the transient condition. They correspond to the experiments including transient changes well. The transient calculated equivalent temperature of thermal manikin is also compared with experiments. As a result, since it is difficult to control the thermal manikin ideally in the experiment, it is difficult to compare the transient behavior.

Design optimisation with respect to interior noise is currently a topic of great concern for the automotive industry. An essential element in this process is to obtain a correct understanding of the various noise sources which are present, and the ways in which these sources propagate to the critical receiver. An experimental source-transfer-receiver methodology is presented, that allows quantifying the structure borne and airborne source strength of the intake system components and its contribution to the interior noise. The method allows interior noise optimisation after identification of the dominant contributors. The methodology is applied to identify the noise contribution of the air intake system to the interior noise of an 8-cylinder upper class vehicle. Correlation of the Structure Borne Transfer Path Analysis and Airborne Source Quantification models with physical decoupling experiments demonstrates a high correspondence.

In electrified automobiles, wind noise significantly contributes to the overall noise inside the cabin. In particular, underbody airflow is a dominant noise source at low frequencies (less than 500 Hz). However, the wind noise transmission mechanism through a battery electric vehicle (BEV) underbody is complex because the BEV has a battery under the floor panel. Although various types of underbody structures exist for BEVs, in this study, the focus was on an underbody structure with two surfaces as inputs of wind noise sources: the outer surface exposed to the external underbody flow, such as undercover and suspension, and the floor panel, located above the undercover and battery. In this study, aero-vibro-acoustic simulations were performed to clarify the transmission mechanism of the BEV underbody wind noise. The external flow and acoustic fields were simulated using computational fluid dynamics.

Interior noise caused by exterior air flow, or wind noise, is one of the noise-and-vibration phenomena for which a systematic simulation method has been desired for enabling their prediction. One of the main difficulties in simulating wind noise is that, unlike most other noises from the engine or road input, wind noise has not one but two different types of sources, namely, convective and acoustic ones. Therefore, in order to synthesize the interior sound pressure level (SPL), the body sensitivities (interior SPL/outer source level) for both types of sources have to be considered. In particular, sensitivity to the convective input has not been well understood, and hence it has not been determined. Moreover, the high-frequency nature of wind noise (e.g., the main energy range extends up to 4000 Hz) has limited the effective application of CAE for determining body sensitivities, for example, from the side window glass to the occupants’ ears.