Profile Characterization of Manufactured Surfaces Using Random Function Excursion Technique, Part 2: Application

1975 ◽  
Vol 97 (1) ◽  
pp. 196-202 ◽  
Author(s):  
M. O. M. Osman ◽  
T. S. Sankar
Keyword(s):  
Machined Surface ◽  
Pass Filter ◽  
Measuring Device ◽  
Surface Parameters ◽  
Actual Surface ◽  
Surface Measurements ◽  
On Line ◽  
Surface Profiles ◽  
High Pass

In Part 1 of this paper an analytical procedure based on the theory of random excursions was described to characterize the texture of a machined surface in terms of four new parameters. In this part a number of experimental results are presented to justify the validity of the proposed surface parameters. Surface measurements were carried out on ten differently machined surfaces using a specially equipped measuring device with a direct cable link to a hybrid computer. The theoretically computed surface parameters compare favorably with the measurements made on the actual surface profiles that were recorded experimentally. One of the advantages of the surface parameters presented in this paper is that they correspond directly to the mechanical properties of the machined component and hence can be used readily in specifications. Further, the results of this paper show that i) the sampling length is essentially a high-pass filter with geometrically defined characteristics, and ii) the crest and valley excursion parameters are adaptable for both “on-line” and “off-line” surface evaluation. The method presented is well-suited for application to computer-aided manufacturing without any special modifications. Based on this investigation, a proposal for a mechanical stylus system for “online” surface measurements is also made.

Profile Characterization of Manufactured Surfaces Using Random Function Excursion Technique—Part 1: Theory

1975 ◽  
Vol 97 (1) ◽  
pp. 190-195 ◽  
Author(s):  
T. S. Sankar ◽  
M. O. M. Osman
Keyword(s):  
Surface Texture ◽  
Low Cost ◽  
Measuring Device ◽  
Rolling Circle ◽  
Measuring Devices ◽  
Texture Parameters ◽  
Probability Densities ◽  
On Line ◽  
Excursion Probability

This paper discusses a new approach for describing accurately the typology of manufactured surfaces. The method employs the theory of stochastic excursions to characterize the surface texture in the amplitude and lengthwise directions. The mathematical principle behind the approach is briefly explained, and it is shown that an accurate description of the roughness can be obtained from the knowledge of the intercept probabilities of the crest and valley excursions of the surface texture about any given level, say the CLA value, specified with respect to the mean line. Based on the preceding excursion probability densities, new surface texture parameters are proposed. These parameters may be computed directly from the surface roughness data obtained from commercially available measuring devices. On the basis of this investigation, it is feasible to develop a low-cost measuring device for “on-line” surface evaluation in production. It is also shown that the sampling length provides a geometrically well-defined filter characteristic similar to that of the rolling circle radius in the E-system.

Characterization of Patches Along Transects Using High-Resolution 70-kHz Integrated Acoustic Data

1989 ◽  
Vol 46 (12) ◽  
pp. 2056-2064 ◽  
Author(s):  
R. W. Nero ◽  
J. J. Magnuson
Keyword(s):  
North Carolina ◽  
High Resolution ◽  
Gulf Stream ◽  
Window Size ◽  
Recognition Algorithm ◽  
Pass Filter ◽  
Acoustic Data ◽  
Cape Hatteras ◽  
High Pass

A patch recognition algorithm was applied to high-resolution (1 m vertical and 25 m horizontal) daytime sonar date collected from a 20-km-length transect to a depth of 200 m. The transect was oriented perpendicular to the Gulf Stream frontal zone, 105 km east–northeast ENE of Cape Hatteras, North Carolina, on August 8 1985. An adaptive high-pass filter was used to identify patches of high-intensity echo strengths. For a broad based averaging "window size" of 13 m deep by 1.4 km long and an echo strength threshold of 1.4 × integrated echo units patches resemble fine-scale features of the original echogram. A discrimination of patches using sonar statistics from within the patches gave good separation of slope water patches from patches belonging to four other water masses Slope water patches were characteristically small and of low mean scattering. Large but infrequent targets were present In the Gulf Stream, by contrast, patches contained more uniformly distributed targets with a higher mean scattering The observed correlation between echo patches, biological structures, and oceanographic features suggests that the measurement of echo statistics and our patch recognition techniques produce biologically meaningful parameters.

scholarly journals Study of Morphology Wear Model of Moulds from Alloys of Aluminium EN AW-6082 in Injection Process

2013 ◽  
Vol 554-557 ◽  
pp. 844-849 ◽  
Author(s):  
Alejandro Pereira ◽  
Primo Hernández ◽  
Javier Martínez ◽  
José A. Pérez ◽  
Thomas Mathia
Keyword(s):  
Surface Characterization ◽  
Plastic Material ◽  
Wear Model ◽  
Experimental Procedure ◽  
Surface Parameters ◽  
Injection Process ◽  
Surface Measurements ◽  
Mould Cavity ◽  
Made In

The main objective of this research is study the wear of a mould, made in easy machining material; aluminium EN AW-6082 T4 and the surface characterization of mould cavity, used in a polymeric manufacturing process, after several injection cycles. To evaluate the effectiveness of this materials in the plastic injection process, a test part with different thicknesses and shapes was designed and some inserts of aluminium were made. In the way of plastic material, a 30 % fiberglass reinforced polyamide PA6 has been employed in the experimental procedure. A reusable injection mould was used and surface measurements of mould cavity have been performed after 9200 cycles. The surface topography has been measured by using optical interferometry profiling technology and there have also been obtained roughness and surface parameters according to ISO 25178 and EUR15178N. In order to surface characterization, different areas of the mould cavity with different geometries, has been analysed. The behaviour of wear rate has been analysed by the study of the evolution of the surface parameters and functional parameters in different points of the surface mould.

scholarly journals Surface Reflectance: An Optical Method for Multiscale Curvature Characterization of Wear on Ceramic–Metal Composites

Materials ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1024 ◽  
Author(s):  
Julie Lemesle ◽  
Frederic Robache ◽  
Gaetan Le Goic ◽  
Alamin Mansouri ◽  
Christopher A. Brown ◽  
...  
Keyword(s):  
Strong Correlation ◽  
Band Pass Filter ◽  
Metal Composites ◽  
Pass Filter ◽  
Surface Gradient ◽  
Light Reflectance ◽  
Band Pass ◽  
First Time ◽  
High Pass

Surface gradient characterization by light reflectance (SGCLR) is used for the first time for multiscale curvature calculations and discrimination of worn surfaces on six damaged ceramic–metal composites. Measurements are made using reflectance transformation imaging (RTI). Slope and curvature maps, generated from RTI, are analyzed instead of heights. From multiscale decompositions, bootstrapping, and analysis of variance (ANOVA), a strong correlation (R² = 0.90) is found between the density of furrows of Mehlum curvatures, with a band pass filter at 5.4 µm, present in ceramic grains and their mechanical properties. A strong correlation is found between the mean curvatures of the metal and the ceramics, with a high pass filter at 1286 µm.

A V-Band Two Pole High-Pass Filter for Frequency Quadrupler Design

2016 ◽  
Vol 6 (1) ◽  
pp. 56
Author(s):  
Maryam Abata ◽  
Mahmoud Mehdi ◽  
Said Mazer ◽  
Moulhime El Bekkali ◽  
Catherine Algani
Keyword(s):  
Pass Filter ◽  
High Pass Filter ◽  
V Band ◽  
High Pass

Generic monitoring tools for water characteristics assessment

2003 ◽  
Vol 3 (1-2) ◽  
pp. 351-357
Author(s):  
S. Le Bonté ◽  
M.-N. Pons ◽  
O. Potier ◽  
S. Chanel ◽  
M. Baklouti
Keyword(s):  
Municipal Wastewater ◽  
Principal Component ◽  
Toxic Substances ◽  
Capacity Curves ◽  
Water Characteristics ◽  
Monitoring Tools ◽  
Visible Spectra ◽  
On Line ◽  
Mining Procedure

An adaptive principal component analysis applied to sets of data provided by global analytical methods (UV-visible spectra, buffer capacity curves, respirometric tests) is proposed as a generic procedure for on-line and fast characterization of wastewater. The data-mining procedure is able to deal with a large amount of information, takes into account the normal variations of wastewater composition related to human activity, and enables a rapid detection of abnormal situations such as the presence of toxic substances by comparison of the actual wastewater state with a continuously updated reference. The procedure has been validated on municipal wastewater.

Baseline-free sensor fault detection for piezoelectric array

2021 ◽  
pp. 1045389X2110188
Author(s):  
Qibo Mao ◽  
Yuande Wang ◽  
Shizuo Huang
Keyword(s):  
Prior Knowledge ◽  
Frequency Response Function ◽  
Sensor Array ◽  
Piezoelectric Element ◽  
Piezoelectric Sensor ◽  
Steel Beam ◽  
Sensor Fault ◽  
Pass Filter ◽  
Sensor Fault Detection ◽  
High Pass

In this study, a new methodology is presented to detect the sensor fault for piezoelectric array based on the filtered frequency response function (FRF) shapes. The proposed method does not require prior knowledge about healthy piezoelectric array. First, the imaginary parts of FRFs from the piezoelectric array during vibration are measured and normalized to obtain the FRF shapes in different frequencies. Then the irregularities in these FRF shapes are extracted by using high-pass filter with properly chosen cut-off frequency. These abnormal irregularities on the filtered FRF shape curves indicate the location of the faulty sensor, due to the irregularity of FRF shapes introduced by the faulty piezoelectric element. The proposed sensor fault method is experimentally demonstrated on a clamped-clamped steel beam mounted with piezoelectric buzzer array. Two common piezoelectric sensor fault types including sensor breakage and debonding are evaluated. The experimental results indicate that the proposed method has great potential in the detection of the sensor fault for piezoelectric array as it is simple and does not require the FRF data of the healthy sensor array as a baseline.

ON-LINE CHARACTERIZATION OF MAGNETIC NANO PARTICLES - SIMULATION VERSUS EXPERIMENT

2001 ◽  
Vol 32 ◽  
pp. 385-386
Author(s):  
TH. KAUFFELDT ◽  
E. KAUFFELDT ◽  
T. ZARUTSKAYA ◽  
M. SHAPIRO ◽  
A. SCHMIDT-OTT
Keyword(s):  
Nano Particles ◽  
On Line ◽  
Magnetic Nano Particles
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