Analysis of air gage inaccuracy caused by flow instability

Rucki, Mirosław; Barišić, Branimir; Szalay, Tibor

doi:10.1016/j.measurement.2007.10.001

Cited by 20 publications

(9 citation statements)

References 5 publications

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“…These developments in sensor technology introduced the need to study the dynamic characteristics of ultra-precision air gauge systems. Rucki [23,24,25] and Zhang [26] both investigated metb.ods to reduce air gauge uncertainty. The most influential parameter of the pneumatic gauging system was found to be the ratio of nozzle outer diameter (de) to inner diameter (dp).…”

Section: Pneumatic Methodsmentioning

confidence: 99%

Pneumatic non-contact roughness assessment of moving surfaces

2009

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All machined surfaces inherently have roughness. The level of control of this surface is dependeat on the specifications outlined for its intended use. In strictly controlled situatiom, the monitoring and characterization of these surfaces becomes increasingly important to ensure that each component conforms to specifications. For this reason, the need f,)r in-situ monitoring systems has increased in order to optimize manufacturing time and minimize generated scrap for companies to remain competitive in industry. Current in-situ roughness monitoring systems, such as optical methods, are limited by the harsl: environments in which these systems are required to operate and the requirement for highly reflective materials. Accordingly, the need to develop a more robust system is required. The objective of this work was to develop and test a noncontact surface roughness characterization system which can be implemented into a machining center in order to provide in-situ measurements where currently available methods are rendered inappropriate.

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Section: Pneumatic Methodsmentioning

confidence: 99%

Pneumatic non-contact roughness assessment of moving surfaces

2009

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“…There are measuring chambers of different dimensions with two or more joints for back-pressure measurement, replaceable measuring nozzles with various diameters and different geometry (e.g., conical inlet and corrected nozzle head), and replaceable inlet nozzles of diameters . Figure 2: Scheme of the static characteristics investigation set [18].…”

Section: Investigation Apparatusmentioning

confidence: 99%

“…The laboratory set has been described in detail in [18] and its principle is shown in Figure 2. Additional devices could be included like a MicroBar unit which registers fluctuations of the back-pressure with high-frequency sampling (from 16 Hz up to 4 kHz) [15] or temperature sensors and flowmeter.…”

Section: Investigation Apparatusmentioning

confidence: 99%

Air Gauge Characteristics Linearity Improvement

Jermak

Jakubowicz

Dereżyński

et al. 2016

Journal of Control Science and Engineering

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This paper discusses calibration uncertainty and linearity issues of the typical back-pressure air gauge. In this sort of air gauge, the correlation between the measured dimension (represented by the slot width) and the air pressure in the measuring chamber is used in a proportional range. However, when high linearity is required (e.g., nonlinearity less than 1%), the measuring range should be shortened. In the proposed method, based on knowledge of the static characteristics of air gauges, the measuring range is kept unchanged but the nonlinearity is decreased. The static characteristics may be separated into two sections, each of them approximated with a different linear function. As a result, the nonlinearity is reduced from 5% down to 1% and even below.

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“…Also, it was assumed that the air is discharged adiabatically [8] from the fixed metering orifice and at the nozzle-workpiece sensor and the discharge coefficients were considered constant [9,13]. However, Rucki et al [23] showed that the conditions of air expansion in the nozzleworkpiece area would affect the stability of the air pressure in the measurement chamber. And, as Nakayama asserted, it is essential to derive gauge steady-flow models considering the changes of discharge coefficients and expansion factors in compliance with different designs and pressure ratios for both fixed metering orifice and nozzle-workpiece sensor.…”

Section: Pneumatic Gauge Empirical Modellingmentioning

confidence: 99%

Pneumatic gauge steady-state modelling by theoretical and empirical methods

Bókov¹

2011

Measurement

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Analysis of air gage inaccuracy caused by flow instability

Cited by 20 publications

References 5 publications

Pneumatic non-contact roughness assessment of moving surfaces

Pneumatic non-contact roughness assessment of moving surfaces

Air Gauge Characteristics Linearity Improvement

Pneumatic gauge steady-state modelling by theoretical and empirical methods

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