Smart Materials and Active Noise and Vibration Control in Vehicles

Doppenberg, E.J.J.; Berkhoff, Arthur P.; Overbeek, M.W.R.M. van

doi:10.1016/s1474-6670(17)34398-7

Cited by 2 publications

(2 citation statements)

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“…The results show that the propagation characteristics could be controlled by attaching piezoelectric sheets to membranes of a double-layered acoustic metamaterials. In [10], the research and development of active control systems was used to complement passive noise abatement techniques in applications in the field of means of transportation. The development of dedicated actuators integrated in materials and control algorithms can be exploited to other areas of the acoustics, like sound comfort and audible communication enhancement.…”

Section: Smasis2021-67961mentioning

confidence: 99%

AI Supported Noise Analyses for Structure Design Requirements Definition

Domazetovska

Gavriloski

Jovanova

2021

ASME 2021 Conference on Smart Materials, Adaptive Structures and Intelligent Systems

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The artificial intelligence (AI) field has encountered a turning point mainly due to advancements in machine learning, which allows systems to learn, improve, and perform a specific task through data without being explicitly programmed. Machine learning can be utilized with machining processes to improve product quality levels and productivity rates and to optimize design and process parameters. The systems for acoustic event detection and classification (AED/C) of noise events is a process consisted of feature extraction of the signals, meaning processing acoustic signals and converting them into symbolic descriptions that correspond to the various sound events present in the signals and their sources. The main objective of the AED/C systems is to develop algorithms able to recognize and classify sound events that occur in the chosen environment, giving an appropriate response to users. By utilizing the acoustic events detection and classification systems, a clear set of design requirements can be extracted based on the noise to be attenuated. A smart structure design for noise attenuation needs clear noise input for proper smart material choice, placement and active control. This paper shows a method for detection of noise events based on machine-learning algorithm that can be further used for definition of design requirements.

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Section: Smasis2021-67961mentioning

confidence: 99%

AI Supported Noise Analyses for Structure Design Requirements Definition

Domazetovska

Gavriloski

Jovanova

2021

ASME 2021 Conference on Smart Materials, Adaptive Structures and Intelligent Systems

View full text Add to dashboard Cite

show abstract

“…In the case of ANC, this cancelling signal is generated through loudspeakers, whereas for AVC, force actuators such as inertia-mass shakers are used. Various authors have addressed the application of ANC and AVC systems to reduce noise and vibrations in automotive applications (Adachi & Sano, 1996), (Adachi & Sano, 1998), (Ahmadian & Jeric, 1999), (Bao et al, 1991, (Doppenberg et al, 2000), (Dehandschutter & Sas, 1998), (Fursdon et al, 2000, (Lecce et al, 1995), (Necati et al, 2000), (Pricken, 2000), (Riley & Bodie, 1996), (Sas & Dehandschutter, 1999), (Shoureshi et al, 1995), , (Shoureshi & Knurek, 1996), (Sano et al, 2002), (Swanson, 1993). ContiTech has implemented prototypes of AVC systems in various test vehicles and demonstrated that significant reductions in noise and vibration levels are achievable , (Karkosch et al, 1999), (Bohn et al, 2000), (Svaricek et al, 2001), (Bohn et al, 2003), (Kowalczyk et al, 2004), (Bohn et al, 2004), (Kowalczyk & Svaricek, 2005) (Kowalczyk et al, 2006), (Karkosch & Marienfeld, 2010).…”

Section: Introductionmentioning

confidence: 99%