Tribological study of a polymer bushing wear with a steel axle for an automatic car tensioner

This paper aims to show through a factorial experimental design significant factors on the polymeric bushing wear PA66, including their amplitude, frequency and spring height, when interacting with a steel axle SAE1018 (from Society of Automotive Engineers - SAE) in a tension belt applied. It was verified that factors as amplitude and frequency are significant and it was possible to propose a mathematical model to predict this wear behaviour for the proposed test. Moreover, an adhesion wear behaviour was verified, whereof a polyamide film was observed on the axle transferred by the bushing. Through the microscopy report analysis, it was possible to see the transfer film topology characterisation for a better comprehension of the adhered polyamide film from the bushing to the axle surface.

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A calculation model for liquid-liquid extraction of protactinium by 2,6-dimethyl-4-heptanol

Nukleonika ◽

10.1515/nuka-2015-0154 ◽

2015 ◽

Vol 60 (4) ◽

pp. 837-845 ◽

Cited By ~ 2

Author(s):

Andrew W. Knight ◽

Eric S. Eitrheim ◽

Andrew W. Nelson ◽

Michael K. Schultz

Keyword(s):

Mathematical Model ◽

Experimental Design ◽

Spent Nuclear Fuel ◽

Fissile Material ◽

Factorial Experimental Design ◽

Reaction Conditions ◽

Full Factorial Experimental Design ◽

Main Effects ◽

Full Factorial ◽

Solution Acidity

Abstract Reprocessing of spent nuclear fuel usually employs the solvent extraction technique to recover fissile material, isolate other valuable radionuclides, recover precious metals, and remove contaminants. Efficient recovery of these species from highly radioactive solutions requires a detailed understanding of reaction conditions and metal speciation that leads to their isolation in pure forms. Due to the complex nature of these systems, identification of ideal reaction conditions for the efficient extraction of specific metals can be challenging. Thus, the development of experimental approaches that have the potential to reduce the number of experiments required to identify ideal conditions are desirable. In this study, a full-factorial experimental design was used to identify the main effects and variable interactions of three chemical parameters on the extraction of protactinium (Pa). Specifically we investigated the main effects of the anion concentration (NO3-, Cl-) extractant concentration, and solution acidity on the overall extraction of protactinium by 2,6-dimethyl-4-heptanol (diisobutylcarbinol; DIBC) from both HCl and HNO3 solutions. Our results indicate that in HCl, the extraction of protactinium was dominated by the solution acidity, while in nitric acid the extraction was strongly effected by the [DIBC]. Based on our results, a mathematical model was derived, that describes the relationship between concentrations of anions, extractant, and solution acidity and the expected values of Pa distribution coefficients in both HCl and HNO3. This study demonstrates the potential to predict the distribution coefficient values, based upon a mathematical model generated by a full-factorial experimental design.

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Identifying suboptimalities with factorial model comparison

Behavioral and Brain Sciences ◽

10.1017/s0140525x18001541 ◽

2018 ◽

Vol 41 ◽

Cited By ~ 2

Author(s):

Wei Ji Ma

Keyword(s):

Experimental Design ◽

Model Comparison ◽

Process Models ◽

Multiple Forms ◽

Factorial Experimental Design ◽

Factorial Model ◽

Multiple Components ◽

The Many

AbstractGiven the many types of suboptimality in perception, I ask how one should test for multiple forms of suboptimality at the same time – or, more generally, how one should compare process models that can differ in any or all of the multiple components. In analogy to factorial experimental design, I advocate for factorial model comparison.

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