A comparative study on interior acoustical comfort towards Perodua's compact car model through Monte Carlo simulation method
Abstract
Societies nowadays spend most of their time travelling with vehicles, especially cars, and
move from one place to another place. Therefore the comforts of a vehicle could provide
is very important to give the feeling of pleasantness to the users of the car. Vehicle
acoustic comfort is one of the important factor in order to provide driving comforts to the
user when the vehicle is in use. Logically annoying noise inside the cabin car will to make
the car’s user to feel less comfortable. Psychologically, an uncomfortable environment
during driving session with the car will affect the user's car especially to the driver where
it can be a kind of distraction during driving. If this happen, then the drivers concentration
will also be affected and this could led to an unwanted incidents. This study was proposed
to investigate the comfort level of noise in the car cabin. The cars used in this study are
the compact cars from Perodua, the Axia, Myvi and Viva models. The objective of this
study was to investigate the noise in the cabin of the car and to find the comfort noise
levels between the three cars. Then, the level of acoustical comfort between the three cars
were compared to find which car have the best noise comfort level between those cars.
The hypothesis of this study are more the higher the cars’ engine speed, the higher the
level of noise generated in the cabin of the car and the rougher the road surface, the higher
the noise will be transferred into the car’s cabin. Therefore, in this study, the level of noise
in the car cabin for all of the three cars are measured according to the engine speed,
respectively. The noise in the cabin of the cars was recorded when the car is in two
circumstances, namely when in stationary and non-stationary. In stationary state, the
noise in the car were recorded while being driven through three types of roads, which are
the highway, urban streets, and pavement. A coding system using LabVIEW were
developed to create a system to record the sounds of the noise in the cabin of the car. The
recorded noise will then be used for evaluation. The noise were assessed in to approach,
objectively and subjectively. In objective evaluation, the sound quality parameter of the
recorded noise were extracted by using the "B&K Sound Quality" software. These sound
quality parameter will be the data and was assessed by means of regression analysis. Then
an equation was published through the analysis. In subjective assessment the recorded
noise were evaluated based on jury assessment. Five individuals were involved in
assessing the noise. Then, data mining approach were implemented in this study to
illustrate this noise data.