Vibration Control and Noise Reduction in Mechanical Systems: Techniques and Applications

Vibration and noise in mechanical systems can negatively impact performance, safety, and durability. This paper examines various techniques for vibration control and noise reduction, with a particular focus on their applications in robotics, automotive, aerospace, and industrial machinery. Passive, active, and semi-active methods are discussed, with case studies highlighting their real-world effectiveness in different applications. The integration of advanced materials, adaptive algorithms, and hybrid systems in the control of vibrations and noise is also explored. The paper presents data tables and graphs to demonstrate the impact of these methods on system performance. Case studies are presented to demonstrate the practical challenges and solutions in real-world applications. The paper concludes with future directions for vibration control research. Keywords: Vibration control, noise reduction, mechanical systems, robotics, passive control, active control, semi-active control, damping, tuned mass dampers, collaborative robots, adaptive systems, vibration analysis, smart materials, composite materials, vibration reduction technologies, system reliability, vibration performance, precision engineering, industrial machinery, mechanical vibration, robotic grippers, robotic noise, adaptive vibration control, advanced damping techniques, mechanical noise, and structural vibration.

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-09-18
DOI
https://doi.org/10.55041/ijsrem52723
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Vibration Control and Noise Reduction in Mechanical Systems: Techniques and Applications

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Stochastic processes and financial applications
article

Vibration Control and Noise Reduction in Mechanical Systems: Techniques and Applications

article en

Abstract

Vibration and noise in mechanical systems can negatively impact performance, safety, and durability. This paper examines various techniques for vibration control and noise reduction, with a particular focus on their applications in robotics, automotive, aerospace, and industrial machinery. Passive, active, and semi-active methods are discussed, with case studies highlighting their real-world effectiveness in different applications. The integration of advanced materials, adaptive algorithms, and hybrid systems in the control of vibrations and noise is also explored. The paper presents data tables and graphs to demonstrate the impact of these methods on system performance. Case studies are presented to demonstrate the practical challenges and solutions in real-world applications. The paper concludes with future directions for vibration control research. Keywords: Vibration control, noise reduction, mechanical systems, robotics, passive control, active control, semi-active control, damping, tuned mass dampers, collaborative robots, adaptive systems, vibration analysis, smart materials, composite materials, vibration reduction technologies, system reliability, vibration performance, precision engineering, industrial machinery, mechanical vibration, robotic grippers, robotic noise, adaptive vibration control, advanced damping techniques, mechanical noise, and structural vibration.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(09)
Openalex Percentile: Top 67%
Stochastic processes and financial applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.