Guide for Recommended Format of Wear Test Data Suitable for Databases

1996 ◽  
Author(s):  
Keyword(s):  
Test Data ◽  
Wear Test

Abrasion and Wear of Rubber. Analysis of Wear Curves

1952 ◽  
Vol 25 (1) ◽  
pp. 107-109
Author(s):  
J. M. Buist
Keyword(s):  
Mathematical Method ◽  
Test Data ◽  
Wear Test ◽  
Broad Application ◽  
Rubber Industry ◽  
Wide Range ◽  
Subsequent Discussion ◽  
Abrasion Testing ◽  
Wear Index

Abstract One of the difficulties of assessing wear test data of rubber articles, e.g., tires, soles and heels, etc., is the fact that the wear index is not necessarily constant throughout the wearing trial. In a previous publication it was suggested that before exact correlations could be established between laboratory and service tests some mathematical method of obtaining constant indexes for both tests must be found. In the subsequent discussion of this paper at Birmingham, the author revealed that wear curves obtained on the Martindale abrasion tester and also some actual road wear curves could be expressed satisfactorily by an equation of the type y=axn. Since that time further work has been done, and it is now proved that if wear curves obtained on a wide range of laboratory machines, e.g., Martindale, du Pont, and Dunlop (Lambourn), are plotted, these curves are all of the same family y=axn. Although this equation is purely empirical, it is of considerable interest to the rubber industry in that it has such a broad application in the field of laboratory abrasion testing and also in service wear trials.

Wear Failure of a Leaded Bronze Bearing: Correlation Between Plant Experience and Laboratory Wear Test Data

2003 ◽  
Vol 12 (3) ◽  
pp. 304-311 ◽  
Author(s):  
Q. Ahsan ◽  
A. S. M. A. Haseeb ◽  
E. Haque ◽  
J. P. Celis
Keyword(s):  
Test Data ◽  
Wear Test

Prediction of Tire Tread Wear Rate and Tread Wear Rate Differences

1979 ◽  
Vol 7 (3) ◽  
pp. 43-57
Author(s):  
E. A. Dudley ◽  
R. F. Bauer ◽  
P. M. Reilly
Keyword(s):  
Regression Analysis ◽  
Bayesian Inference ◽  
Wear Rate ◽  
Test Data ◽  
Subjective Probability ◽  
Probability Distributions ◽  
Wear Test ◽  
Suitable Model ◽  
Standard Regression

Abstract A method is presented for the analysis of tread wear test data, having the principal aim of predicting the ultimate tread life from results of a test suspended near the halfway mark. This method uses standard regression analysis of a suitable model followed by Bayesian inference to produce subjective probability distributions of predicted tread depth and their associated uncertainty.

scholarly journals Analisa Laju Permukaan Keausan Pada Model Uji Mekanis Bushing Kuningan

2021 ◽  
Vol 2 (1) ◽  
pp. 32-36
Author(s):  
Sutarno Sutarno ◽  
Nugrah Rekto Prabowo ◽  
Mastur Mastur
Keyword(s):  
Wear Rate ◽  
Experimental Method ◽  
Test Data ◽  
Wear Test ◽  
Spare Parts ◽  
Initial Weight ◽  
Rotating Shaft ◽  
Shock Loads ◽  
The Third ◽  
Spindle Rotation

Bushing is a bearing between movable and immovable components. These spare parts function are to hold the rotating shaft and through the gear box into the shaft which is held by the brass material bushing, where those processes are able to reduce the vibrations and the shock of shock loads. The purpose of this research is to know the level of roughness and wear rate of brass bushing, this research is conducted to find out how efficient it is, the use of a bushing with a field that is very likely to have a large shock load and to know the wear test data, and roughness of the brass bushing. The type of this research used an experimental method. From the results of the study it was concluded that to get the roughness and wear value using a conventional lathe, the spindle rotation was 970 rpm. Based on the experiments with predetermined parameters, the lowest roughness value was Ra 1.13 and the highest roughness was Ra 2.41. In the experiments for the wear test of each specimen, the wear rate obtained after the initial weight was subtracted from the third one hour weight, from the lightest of 0.07 grams and the heviest of 1.62 grams.

Test Validation Without Measurement

2016 ◽  
Vol 32 (3) ◽  
pp. 204-214 ◽  
Author(s):  
Emilie Lacot ◽  
Mohammad H. Afzali ◽  
Stéphane Vautier
Keyword(s):  
Test Data ◽  
Test Scores ◽  
Scientific Explanation ◽  
Test Validation ◽  
Clinical Tests ◽  
Ethical Perspective ◽  
Power Of Test ◽  
Memory Accuracy ◽  
Social Uses ◽  
Special Case

Abstract. Test validation based on usual statistical analyses is paradoxical, as, from a falsificationist perspective, they do not test that test data are ordinal measurements, and, from the ethical perspective, they do not justify the use of test scores. This paper (i) proposes some basic definitions, where measurement is a special case of scientific explanation; starting from the examples of memory accuracy and suicidality as scored by two widely used clinical tests/questionnaires. Moreover, it shows (ii) how to elicit the logic of the observable test events underlying the test scores, and (iii) how the measurability of the target theoretical quantities – memory accuracy and suicidality – can and should be tested at the respondent scale as opposed to the scale of aggregates of respondents. (iv) Criterion-related validity is revisited to stress that invoking the explanative power of test data should draw attention on counterexamples instead of statistical summarization. (v) Finally, it is argued that the justification of the use of test scores in specific settings should be part of the test validation task, because, as tests specialists, psychologists are responsible for proposing their tests for social uses.

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