The objective of the present study was to investigate the relationship between surface roughness and touch perception of surfaces with randomly spaced, irregular features. Two sets of specimens with top surfaces consisting of triangular peaks and valleys were modeled and 3D-Printed by varying the height of the peak, the depth of the valley, and the width between two intersections of the peak or valley with the center line. For one set of specimens, values of these variables were kept constant within a specimen but varied across specimens. For the other set of specimens, values of these variables were randomly selected in given ranges within a specimen while ranges were varied across specimens. The level of touch perception of each specimen was then measured using a questionnaire consisting of 16 adjectives related to touch perception and a 7-point Likert scale. Measured data were statistically analyzed and compared between different sets of specimens. Results indicated that it was inappropriate to directly apply findings of the previous studies for surfaces with regularly spaced, geometrically well-defined features to surfaces with randomly spaced, irregular features.
The electromagnetic force compensation (EMFC) measurement principle has been widely adopted in the high-precision mass metrology system due to its sensitive compliant mechanism and nanometer level position sensor. In EMFC, an electromagnetic actuator balances the gravitational weight to maintain zero (or Null) position by feedback control using a position sensor, and the weight is calculated from the current applied to the actuator. Thus, a position sensor in the EMFC system should measure the null position accurately with high sensitivity and resolution. The position sensor commonly used in EMFC balance is an optical sensor that measures the displacement of EMFC balance from the intensity of light coming through a slit using a two-segment photodiode. This paper analyzed the characteristics of an optical position sensor for EMFC balance through parametric analysis using the Fresnel diffraction model. We also evaluated the performance of the sensor and confirmed the feasibility from weighing performance of the balance prototype. Normalized sensitivity of the sensor was 0.04237 μm-1 and measured resolution was 1.09 nm. The weighing repeatability with our optical position sensor was 4.83 mg (1σ) at 10 g measurement, which was 3 times better than the repeatability with an alternative commercial sensor.
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