The development of a new artificial model of a finger for assessing transmitted vibrations

Almagirby, Almaky; Rongong, J.A.; Carré, Matt

doi:10.1016/j.jmbbm.2017.11.005

Cited by 6 publications

(5 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Shore A hardness of the human skin demonstrates a broader spectrum, encompassing the characteristics of the dermis, epidermis, and subcutaneous tissues, contributing to the dynamic nature of the human fingertip. But when considering the fingertip in itself, the soft fat in the subcutaneous tissue below the hypodermis, results in a softer, more gel-like response than even the softer Dragon Skin variant [43,49].…”

Section: Filling -Siliconementioning

confidence: 99%

Towards Synthetic, Physical Fingerprint Targets

Ruzicka,

Strobl,

Bergmann

et al. 2024

Preprint

View full text Add to dashboard Cite

Biometric fingerprint identification hinges on the reliability of its sensors, however, calibrating and standardizing these sensors poses significant challenges, particularly in regard to repeatability and data diversity. To tackle these issues, we propose methodologies for fabricating synthetic 3D fingerprint targets, or phantoms, that closely emulate real human fingerprints. These phantoms enable the precise evaluation and validation of fingerprint sensors under controlled and repeatable conditions. Our research employs laser engraving, 3D printing, and CNC machining techniques, utilizing different materials. We assess the phantoms' fidelity to synthetic fingerprint patterns, intra-class variability, and interoperability across different manufacturing methods. The findings demonstrate that a combination of laser engraving or CNC machining with silicone casting produces finger-like shaped phantoms with high accuracy and consistency for rolled fingerprint recordings. For slap recordings, direct laser engraving of flat silicone targets excels and in the contactless fingerprint sensor setting, 3D printing and silicone filling provides the most favorable attributes. Our work enables a comprehensive, method-independent comparison of various fabrication methodologies, offering a unique perspective on the strengths and weaknesses of each approach. This facilitates a broader understanding of fingerprint recognition system validation and performance assessment.

show abstract

Section: Filling -Siliconementioning

confidence: 99%

Towards Synthetic, Physical Fingerprint Targets

Ruzicka,

Strobl,

Bergmann

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The Shore A hardness of the human skin demonstrates a broader spectrum, encompassing the characteristics of the dermis, epidermis, and subcutaneous tissues, contributing to the dynamic nature of the human fingertip. But considering the fingertip itself, the soft fat in the subcutaneous tissue below the hypodermis, results in a softer, more gel-like response than even the softer Dragon Skin variant [43,49].…”

Section: Filling-siliconementioning

confidence: 99%

Toward Synthetic Physical Fingerprint Targets

Ruzicka,

Strobl,

Bergmann

et al. 2024

Sensors

View full text Add to dashboard Cite

Biometric fingerprint identification hinges on the reliability of its sensors; however, calibrating and standardizing these sensors poses significant challenges, particularly in regards to repeatability and data diversity. To tackle these issues, we propose methodologies for fabricating synthetic 3D fingerprint targets, or phantoms, that closely emulate real human fingerprints. These phantoms enable the precise evaluation and validation of fingerprint sensors under controlled and repeatable conditions. Our research employs laser engraving, 3D printing, and CNC machining techniques, utilizing different materials. We assess the phantoms’ fidelity to synthetic fingerprint patterns, intra-class variability, and interoperability across different manufacturing methods. The findings demonstrate that a combination of laser engraving or CNC machining with silicone casting produces finger-like phantoms with high accuracy and consistency for rolled fingerprint recordings. For slap recordings, direct laser engraving of flat silicone targets excels, and in the contactless fingerprint sensor setting, 3D printing and silicone filling provide the most favorable attributes. Our work enables a comprehensive, method-independent comparison of various fabrication methodologies, offering a unique perspective on the strengths and weaknesses of each approach. This facilitates a broader understanding of fingerprint recognition system validation and performance assessment.

show abstract

“…Complex stiffness is provided using a gel damper consisting of a mixture of two liquids which takes a gel form and remains in between two plates once they mix. The damping and stiffness properties of the gel is set with the mixing ratio of the liquids and dimensions of the gel [55,56]. The gel plate with a mass of 26 gram in the gel acts as the parasitic mass.…”

Section: The Idva and Experimental Setupmentioning

confidence: 99%

Implementation of Inerter-Based Dynamic Vibration Absorber for Chatter Suppression

Doğan

Sims

Wagg

2023

Journal of Manufacturing Science and Engineering

View full text Add to dashboard Cite

Chatter is one of the major issues that cause undesirable effects limiting machining productivity. Passive control devices, such as tuned mass dampers (TMDs), have been widely employed to increase machining stability by suppressing chatter. More recently, inerter-based devices have been developed for a wide variety of engineering vibration mitigation applications. However, no experimental study for the application of inerters to the machining stability problem has yet been conducted. This paper presents an implementation of an inerter-based dynamic vibration absorber (IDVA) to the problem of chatter stability, for the first time. For this, it employs the IDVA with a pivoted-bar inerter developed in [1] to mitigate the chatter effect under cutting forces in milling. Due to the nature of machining stability, the optimal design parameters for the IDVA are numerically obtained by considering the real part of the frequency response function (FRF) which enables the absolute stability limit in a single degree-of-freedom (SDOF) to be maximised for a milling operation. Chatter performance is experimentally validated through milling trials using the prototype IDVA and a flexible workpiece. The experimental results show that the IDVA provides more than 15% improvement in the absolute stability limit compared to a classical TMD.

show abstract

The development of a new artificial model of a finger for assessing transmitted vibrations

Cited by 6 publications

References 26 publications

Towards Synthetic, Physical Fingerprint Targets

Towards Synthetic, Physical Fingerprint Targets

Toward Synthetic Physical Fingerprint Targets

Implementation of Inerter-Based Dynamic Vibration Absorber for Chatter Suppression

Contact Info

Product

Resources

About