Impulse excitation technique data set collected on different materials for data analysis methods and quality control...

Area of Science:

• Materials Science
• Physics
• Engineering

Background:

• Mechanical properties like Young modulus are crucial for material applications, research, and quality control.
• Impulse excitation technique (IET) is a non-destructive, rapid method for characterizing elastic and acoustic material properties.
• Commercial IET instruments are common in industry but less so in academia; self-built, low-cost alternatives offer precision and reproducibility.

Purpose of the Study:

• To provide a verified dataset of impulses collected on various materials using a self-built IET instrument (IETeasy).
• To facilitate the development, testing, and verification of analysis methods for IET data.
• To offer a benchmark for researchers building and testing their own IET instruments and to foster a collaborative data repository.

Main Methods:

• Impulse excitation technique (IET) was employed using a custom-built instrument named IETeasy.
• Mechanical impulses were applied to different material samples, and the resulting sound waves were recorded.
• The collected impulse data is intended for mechanical property characterization and multivariate statistical analysis.

Main Results:

• A dataset of impulse responses from diverse materials has been compiled using the IETeasy instrument.
• The data is suitable for developing and validating analysis techniques for acoustic characterization.
• The dataset serves as a benchmark for the performance of homemade IET devices.

Conclusions:

• The provided dataset supports the development of analysis methods for mechanical property characterization via IET.
• This resource aids in tailoring the IETeasy instrument and serves as a benchmark for new IET constructions.
• The open database aims to grow, enabling machine learning applications for automatic sound output recognition and instrument comparison.