Enabling of Component Identification by High Speed Measuring of Grinding Wheel Topography

Breidenstein, Bernd; Grove, Thilo; Hockauf, Rolf

doi:10.1016/j.protcy.2016.08.034

Cited by 4 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A contactless indentation system based on techniques used in ophthalmology was proposed [ 27 ]. The principle of the test is to subject the finger to a direct blast of air on a predetermined area (1 × 2 cm) and measure the deformation with a linear laser (Keyence 7020) [ 28 ]. The advantage of this test is that the skin returns freely into position without any external influence and it avoids the adhesive effect previously observed for the human skin [ 29 ].…”

Section: Methodsmentioning

confidence: 99%

Biophysical properties of the human finger for touch comprehension: influences of ageing and gender

et al. 2017

View full text Add to dashboard Cite

The human finger plays an extremely important role in tactile perception, but little is known about how age and gender affect its biophysical properties and their role in tactile perception. We combined studies on contact characteristics, mechanical properties and surface topography to understand age and gender effects on the human finger. The values obtained regarding contact characteristics (i.e. adhesive force) were significantly higher for women than for men. As for mechanical properties (i.e. Young's modulus E), a significant and positive correlation with age was observed and found to be higher for women. A positive correlation was observed between age and the arithmetic mean of surface roughness for men. However, an inverse age effect was highlighted for women. The age and gender effects obtained have never been reported previously in the literature. These results open new perspectives for understanding the weakening of tactile perception across ages and how it differs between men and women.

show abstract

Section: Methodsmentioning

confidence: 99%

Biophysical properties of the human finger for touch comprehension: influences of ageing and gender

et al. 2017

View full text Add to dashboard Cite

show abstract

“…For an accurate simulation result, the import data for the tool model should be as realistic as possible. Therefore, three measuring devices were compared to each other and the laser triangulation sensor was chosen [19]. It provides the best method of measuring time and accuracy.…”

Section: Methodsmentioning

confidence: 99%

Prediction of Ground Surfaces by Using the Actual Tool Topography

Hockauf

Böß

Grove

et al. 2019

JMMP

View full text Add to dashboard Cite

This paper presents a prediction model for ground surfaces that uses the actual grinding wheel topography to perform a grinding simulation. Precise knowledge of expected machined surfaces plays an important role in process planning. Here, the main criterion is the achievement of the components’ function after manufacturing. Therefore, it is essential to consider the surface roughness to enable a function-orientated workpiece surface. The presented approach uses a real grinding tool topography, which is measured by a 3D laser triangulation sensor in the machine tool. After a data processing step, the measured topography is imported into a material removal simulation. A kinematic simulation of the realistic ground surface enables the data-based confirmation of the envelope profile theory for the first time.

show abstract