Certification of highly specialized measuring equipment

V. I. Mamontov

doi:10.1007/bf00828410

A Method for Determination of the Minimal Thickness of the Cutting Layer during Precision Machining Performed with the Indexable Cutting Tools

Solid State Phenomena ◽

10.4028/www.scientific.net/ssp.261.50 ◽

2017 ◽

Vol 261 ◽

pp. 50-57 ◽

Cited By ~ 1

Author(s):

Joanna Krajewska-Śpiewak ◽

Józef Gawlik

Keyword(s):

Acoustic Emission ◽

Elastic Waves ◽

Measuring Equipment ◽

Cutting Tools ◽

Precision Machining ◽

Peripheral Milling ◽

Minimal Thickness ◽

Nickel Based Alloy ◽

Specialized Measuring

Under the influence of the pressure caused by the application of the cutting edge on the surface of the workpiece elastic waves are generated. Waves propagate in the material in every possible direction and can be identify by specialized measuring equipment. Acoustic emission phenomenon was used to determine the beginning of decohesion process. The article presents a new method for determination of the decohesion process during peripheral milling performed with the indexable cutting tools on samples made out of titanium based alloy and nickel based alloy.

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Method of Calculating Short-Wavelength-Ratio-Based Color Temperature Supporting the Measurement of Real-Time Natural Light Characteristics through RGB Sensor

Sensors ◽

10.3390/s20226603 ◽

2020 ◽

Vol 20 (22) ◽

pp. 6603

Author(s):

Seung-Taek Oh ◽

Geon-Woo Jeon ◽

Jae-Hyun Lim

Keyword(s):

Real Time ◽

Short Wavelength ◽

Measuring Equipment ◽

Measurement Methods ◽

Color Temperature ◽

Average Error ◽

Natural Light ◽

Average Error Rate ◽

Chromaticity Coordinates ◽

Specialized Measuring

The characteristics of natural light are mostly collected through specialized measuring equipment, such as a spectroradiometer, and some suggested measurement methods through a small RGB sensor. However, specialized measuring equipment presents difficulty in its high cost, and the RGB-sensor-based method has the limitation of being unable to measure the wavelength characteristics of natural light that are needed to implement lighting that supports circadian rhythms. This paper presents a method for calculating the short-wavelength-ratio-based color temperature of natural light in real time. First, an analysis of the correlation between the characteristics of natural light collected through a spectroradiometer was performed to determine the factors that were needed to accurately measure the color temperature of natural light. Then, the short-wavelength ratio of natural light was calculated through chromaticity coordinates (x and y), which are output values of the RGB sensor, and an equation for calculating the color temperature of natural light was derived through the short-wavelength ratio. Furthermore, after producing an RGB-sensor-based device, the derived equation was applied to calculate the color temperature of real-time natural light that reflects the wavelength characteristics. Then, as a result of the performance evaluation of the proposed method, the color temperature of natural light was accurately calculated within 1% of the average error rate.

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