Papers

Temperature dependence of internal damping of austenitic steel in different states

Researchers investigated the temperature-dependent internal damping behavior of three austenitic stainless steels (AISI 304, 316L, and 316Ti) across 25-400°C, measuring how initial state, heat treatment, and deformation affect energy dissipation. The study provides material characterization data relevant to engineering applications requiring vibration damping performance at elevated temperatures.

Composition Optimisation of Selected Waste Polymer-Modified Bitumen

This study examined how recycled polypropylene and polyethylene plastomers can be blended into bitumen for road paving, evaluating how mixing conditions affect the properties of the modified asphalt.

Co-Combustion Investigation of Wood Pellets Blended with FFP2 Masks: Analysis of the Ash Melting Temperature

Researchers investigated the combustion of FFP2 masks — widely used during the COVID-19 pandemic — blended with wood pellets, focusing on ash melting behavior. The mask material affected the melting temperature of the resulting ash. This study addresses a practical challenge of how to safely dispose of the enormous quantity of disposable masks that entered the waste stream during the pandemic.

Energy Consumption Depending on the Durability of Pellets Formed from Sawdust with an Admixture of FFP2 Masks

FFP2 face masks were added as an admixture to wood sawdust and processed into pellets for biomass energy production. The study found that including mask material increased the energy needed for pellet formation but the resulting pellets remained within acceptable quality standards. Incorporating pandemic mask waste into biomass fuel offers a way to divert plastic waste from landfills.

Surface and Subsurface Residual Stresses after Machining and their Analysis by X-Ray Diffraction

This aerospace/automotive engineering paper reviews methods for analyzing residual stresses in metal surfaces after machining, noting that X-ray diffraction is the most reliable non-destructive verification technique. This is a materials engineering study with no relevance to microplastic pollution.

The Impact of COVID-19 on Sustainability and Changing Consumer Behavior in the Textile Industry. Is it Significant?

This study examined how COVID-19 affected consumer behavior and sustainability attitudes in the textile industry. The pandemic increased awareness of hygiene and health, but the relationship between environmental concern and sustainable purchasing behavior remained complex. Understanding how crisis events shift consumer priorities informs marketing strategies for sustainable fashion brands.

Advanced in-situ experimental techniques for characterization of deformation mechanisms in magnesium alloys

Fatigue limit estimation using IR camera

This engineering paper describes a method for estimating material fatigue limits using an infrared camera to detect temperature variations during cyclic loading. It is a materials testing study unrelated to environmental microplastic research.

Influence of Cyclic Loading on the Internal Friction Measured on Magnesium Alloys AZ31, AZ61 and AZ91

This study examined how cyclic loading affects internal friction in magnesium alloys AZ31, AZ61, and AZ91 after homogenization annealing. Researchers found that microplastic deformation processes and energy dissipation varied among the alloy compositions.

PROCESSING OF RESULTS FROM A THERMAL FEM ANALYSIS USING THE LOCK-IN METHOD AND COMPARISON WITH EXPERIMENT

This paper compared results from a thermal finite element analysis of samples with defects (produced by 3D printing) with experimental lock-in thermography data. Lock-in processing was applied to both experimental and simulated thermal responses using MATLAB code implementing 4-point, multiple-point, and differential methods, and the resulting phase images were compared.

Analysis of Amplitude Dependence of Internal Damping of AZ31 and AZ61 Alloys in Initial State and after Deformation

The amplitude dependence of internal damping in AZ31 and AZ61 magnesium alloys was analyzed in initial and deformed states using resonance vibration measurements. The results reveal how deformation changes the dislocation structure and thereby modifies the amplitude-dependent damping capacity of these engineering alloys.

Temperature dependent measurement of internal damping of austenitic stainless steels

This paper measured internal damping of austenitic stainless steels (AISI 304, 316L, and 316Ti) as a function of temperature using resonance methods, finding that microplastic processes and energy dissipation are closely tied to defect content. The measurements were used to characterize elastic properties, stress relaxation behavior, and the effects of second-phase particles and voids.

Studying of cutting conditions when hard turning and their impact on integrity of shaped-complex surfaces

This study examined how cutting conditions during hard turning of complex-shaped surfaces affect the integrity of the machined surface, particularly in notch-like stress concentration areas prone to cracking. The experiments identify how cutting parameters influence surface integrity, residual stresses, and subsurface damage that determine component fatigue life.

Amplitude Dependent Internal Friction of Magnesium Alloy AZ31 at Room Temperature

The amplitude-dependent internal friction of magnesium alloy AZ31 was studied at room temperature and 20 kHz, finding that microplastic deformation at small strain amplitudes dominates the damping response. An excited state of the alloy with higher internal friction was identified and associated with dislocation interactions at the microplastic deformation threshold.

Analysis of dependence of internal damping on temperature of austenitic steels

This study measures internal damping in austenitic steels as a function of temperature to analyze microplasticity processes and energy dissipation, evaluating the kinetics of fatigue damage accumulation through frequency, time, temperature, and amplitude dependencies.

Contribution to fatigue damage prediction of thin shell finite element models

This paper implements multiaxial rainflow counting and critical plane fatigue damage criteria into finite element shell analysis, computing stochastic fatigue damage under random excitation for thin-shell structures.