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.

Determination of Steady-State Adhesive Wear Rate

2005 ◽  
Author(s):  
L. J. Yang
Keyword(s):  
Steady State ◽  
Wear Rate ◽  
Wear Test ◽  
Standard Test ◽  
Test Method ◽  
Testing Time ◽  
Wear Coefficient ◽  
Wear Rates ◽  
Test Methodology

Wear rates obtained from different investigators could vary significantly due to lack of a standard test method. A test methodology is therefore proposed in this paper to enable the steady-state wear rate to be determined more accurately, consistently, and efficiently. The wear test will be divided into four stages: (i) to conduct the transient wear test; (ii) to predict the steady-state wear coefficient with the required sliding distance based on the transient wear data by using Yang’s second wear coefficient equation; (iii) to conduct confirmation runs to obtain the measured steady-state wear coefficient value; and (iv) to convert the steady-state wear coefficient value into a steady-state wear rate. The proposed methodology is supported by wear data obtained previously on aluminium based matrix composite materials. It is capable of giving more accurate steady-state wear coefficient and wear rate values, as well as saving a lot of testing time and labour, by reducing the number of trial runs required to achieve the steady-state wear condition.

A Comparison of Subjective and Historical Crop Yield Probability Distributions

1992 ◽  
Vol 24 (2) ◽  
pp. 23-32 ◽  
Author(s):  
James W. Pease
Keyword(s):  
Crop Yield ◽  
Subjective Probability ◽  
Crop Yields ◽  
Probability Distributions ◽  
Geographical Location ◽  
Subjective Expectations ◽  
Grain Farms ◽  
Western Kentucky ◽  
Relative Variability

AbstractForecast distributions based on historical yields and subjective expectations for 1987 expected crop yields were compared for 90 Western Kentucky grain farms. Different subjective probability elicitation techniques were also compared. In many individual cases, results indicate large differences between subjective and empirical moments. Overall, farmer expectations for 1987 corn yields were below those predicted from their past yields, while soybean expectations were above the historical forecast. Geographical location plays a larger role than crop in comparisons of relative variability of yield. Neither elicitation technique nor manager characteristics have significant effects on the comparisons of the forecasts.

Fitting fatigue test data with a novel S-N curve using frequentist and Bayesian inference

2017 ◽  
Vol 105 ◽  
pp. 128-143 ◽  
Author(s):  
Davide Leonetti ◽  
Johan Maljaars ◽  
H.H. (Bert) Snijder
Keyword(s):  
Bayesian Inference ◽  
Fatigue Test ◽  
Test Data

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.

scholarly journals Hybrid elicitation and indirect Bayesian inference with quantile-parametrized likelihood

2021 ◽  
Author(s):  
Dmytro Perepolkin ◽  
Benjamin Goodrich ◽  
Ullrika Sahlin
Keyword(s):  
Bayesian Inference ◽  
Bayesian Model ◽  
Probability Distributions ◽  
Expert Elicitation ◽  
Model Based ◽  
Dirichlet Prior

This paper extends the application of indirect Bayesian inference to probability distributions defined in terms of quantiles of the observable quantities. Quantile-parameterized distributions are characterized by high shape flexibility and interpretability of its parameters, and are therefore useful for elicitation on observables. To encode uncertainty in the quantiles elicited from experts, we propose a Bayesian model based on the metalog distribution and a version of the Dirichlet prior. The resulting “hybrid” expert elicitation protocol for characterizing uncertainty in parameters using questions about the observable quantities is discussed and contrasted to parametric and predictive elicitation.

Nanowear of Multilayer [(TiCx/Ti/C)÷a-C]n Coatings

2018 ◽  
Vol 279 ◽  
pp. 153-159 ◽  
Author(s):  
Anna P. Rubshtein ◽  
Alexander B. Vladimirov ◽  
Sergey A. Plotnikov
Keyword(s):  
Wear Rate ◽  
Tool Steel ◽  
Elasticity Modulus ◽  
Multilayer Coating ◽  
Wear Test ◽  
Constant Load ◽  
Multilayer Coatings ◽  
Diamond Indenter ◽  
Low Wear

Hard multilayer coatings are technologically promising materials for reducing wear of tribological parts. Multilayer coatings with a systematic alternation of the pair [(TiCx/Ti/C)÷(a-C)] were deposited on stainless and tool steel by the PVD technique. Hardness (H), elasticity modulus (E) and critical cracking load (Pcr) were determined by the nanoindentation method. Nanofrictional wear test was conducted under multipass sliding of a diamond indenter (Ø 50 nm) under constant load. The specific coefficient of nanofrictional wear of [(TiCx/Ti/C)÷(a-C)]nwith different composition of titanium-containing layers was determined. The nanofrictional wear rate of [(TiCx/Ti/C)÷a-C]ndepends on the elastic and plastic characteristics of multilayer coating as a whole. Coatings having H3/E2> 0.12 and Pcr> 58 mN demonstrate low wear rate.

Seismic hazard sensitivity analysis: A multi-parameter approach

1991 ◽  
Vol 81 (3) ◽  
pp. 796-817
Author(s):  
Nitzan Rabinowitz ◽  
David M. Steinberg
Keyword(s):  
Sensitivity Analysis ◽  
Seismic Hazard ◽  
Subjective Probability ◽  
Probability Distributions ◽  
Input Parameter ◽  
The Other ◽  
Probabilistic Assessment ◽  
Input Parameters ◽  
Parameter Approach

Abstract We propose a novel multi-parameter approach for conducting seismic hazard sensitivity analysis. This approach allows one to assess the importance of each input parameter at a variety of settings of the other input parameters and thus provides a much richer picture than standard analyses, which assess each input parameter only at the default settings of the other parameters. We illustrate our method with a sensitivity analysis of seismic hazard for Jerusalem. In this example, we find several input parameters whose importance depends critically on the settings of other input parameters. This phenomenon, which cannot be detected by a standard sensitivity analysis, is easily diagnosed by our method. The multi-parameter approach can also be used in the context of a probabilistic assessment of seismic hazard that incorporates subjective probability distributions for the input parameters.

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