The correlation of fractal dimension to fracture surface slope for fatigue crack initiation analysis under bending-torsion loading in high-strength steels

Measurement, Journal Year: 2023, Volume and Issue: 218, P. 113169 - 113169

Published: June 5, 2023

Language: Английский

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Strain energy density and entire fracture surface parameters relationship for LCF life prediction of additively manufactured 18Ni300 steel

International Journal of Damage Mechanics, Journal Year: 2024, Volume and Issue: 33(9), P. 725 - 747

Published: May 3, 2024

In this study, the connection between total strain energy density and fracture surface topography is investigated in additively manufactured maraging steel exposed to low-cycle fatigue loading. The specimens were fabricated using laser beam powder bed fusion (LB-PBF) examined under fully-reversed strain-controlled setup at amplitudes scale from 0.3% 1.0%. post-mortem surfaces explored a non-contact 3D measuring system entire method. focus on relationship characteristics, expressed by density, features, represented areal, volume, fractal dimension factors. A life prediction model based parameters proposed. presented shows good accordance with test results outperforms other existing models density. This can be useful for post-failure analysis of engineering elements fatigue, especially materials produced additive manufacturing (AM).

Language: Английский

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Fractographic-fractal dimension correlation with crack initiation and fatigue life for notched aluminium alloys under bending load

Engineering Failure Analysis, Journal Year: 2023, Volume and Issue: 149, P. 107285 - 107285

Published: April 29, 2023

In this study, fatigue fracture surfaces of aluminium alloy 2017-T4 notched specimens were investigated under cyclic bending to find an alternative failure loading index.. The surface topographies measured on the entire area with optical profilometer for different conditions. Fatigue crack initiation life Ni and total Nf examined using standard topography parameters (such as, root mean square height Sq, arithmetical Sa, maximum Sz) non-standard fractal dimension Df). assessment was successfully performed by combining both stress state features. results show that plane geometry, expressed fractographic-fractal dimension, can facilitate estimation post-failure history.

Language: Английский

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A brief note on entire fracture surface topography parameters for 18Ni300 maraging steel produced by LB-PBF after LCF

Engineering Failure Analysis, Journal Year: 2023, Volume and Issue: 153, P. 107541 - 107541

Published: Aug. 13, 2023

Language: Английский

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Evaluation of high-frequency roughness measurement errors for composite and ceramic surfaces after machining

Journal of Manufacturing Processes, Journal Year: 2024, Volume and Issue: 121, P. 150 - 171

Published: May 20, 2024

Precise characterisation of surface topography is the greatest importance since many factors directly affect accuracy whole measurement process. In this paper, variety topographies from machined composite and ceramic workpieces was studied with a special emphasis on results. Surfaces were subjected to ground diamond, honing milling processes. Measurement results analysed in terms application procedure for removal high-frequency noise. Bandwidth characteristics supported by studies autocorrelation power spectral functions. It found, that examination noisy data, especially its isotropic properties, crucial enhancement noise-removal methods. The proposed validated through direction profile characterisation. spline filtering technique 7.5 μm cut-off encouraged against other generally used techniques reduction noise considering study based spectral, methodology comparing it averaged 3 time repeated measurements surfaces after machining. main advantage proposal reducing data processing due fast easy-to-implement usage general analysis functions, available commercial software measuring instrument.

Language: Английский

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The Use of a Radial Basis Function Neural Network and Fuzzy Modelling in the Assessment of Surface Roughness in the MDF Milling Process

Materials, Journal Year: 2023, Volume and Issue: 16(15), P. 5292 - 5292

Published: July 27, 2023

Wood-based composites are increasingly used in the industry not only because of shortage solid wood, but above all better properties, such as high strength and aesthetic appearance compared to wood. Medium-density fiberboard (MDF) is a wood-based composite that widely furniture industry. In this work, an attempt was made predict surface roughness machined MDF milling process based on acceleration signals from industrial piezoelectric sensor installed cutting zone. The parameter Sq adopted for evaluation measurement roughness. prediction performed using radial basis function (RBF) artificial neural network (ANN) Takagi-Sugeno--Kang (TSK) fuzzy model with subtractive clustering. research, inputs ANNs model, kinematic parameters selected measures signal were adopted. At output, values obtained. results experiments show influenced by cutting, also vibrations generated during process. Therefore, combining information kinematics vibration, accuracy can be improved. use TSK modelling clustering method integrating many measurements examined range conditions meant predicted reliability. With help two tested intelligence tools, it possible estimate workpiece small error. When network, root mean square error estimating value 0.379 μm, while estimation logic 0.198 μm. sample vc = 76 m/min vf 1200 mm/min characterized less concentrated distribution ordinate densities, cut lower feed rates at same speed. most density (for speed m/min) surface, where rate 200 mm/min, 90% material profile height 28.2 RBF RMSE

Language: Английский

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Topography measurement methods evaluation for entire bending-fatigued fracture surfaces of specimens obtained by explosive welding

Measurement, Journal Year: 2023, Volume and Issue: 224, P. 113853 - 113853

Published: Nov. 13, 2023

In this paper, the methods of compensation differences in results entire bending-fatigued fracture surface topographies were presented. The roughness evaluation was performed with a focus variation microscope and confocal topography measurement techniques. ISO 25178 parameters investigated procedures for their studied. It found that various types optical measurements can cause errors occurring process, such as outliers, noise. reduction be attained when are compensated. For study, applications general available commercial software suitable improvements results, raw data thresholding technique, digital filtering (S-filter), power spectral density, autocorrelation function analyses. validation techniques proposed areal profile studies, including analysis calculation parameters.

Language: Английский

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Laser-textured cross-hatched surface topography analysis with evaluation of high-frequency measurement noise

Measurement, Journal Year: 2024, Volume and Issue: 235, P. 114988 - 114988

Published: May 23, 2024

The precision of surface roughness determination using ISO 25178 parameters relies on various factors that directly impact the measurement process. In industry applications, contactless reduces data collection time. However, it introduces several potential errors, including those stemming from environment. One main types errors encountered during topography analysis is noise, which arises different external disturbances. High-frequency noise particularly studied as a result vibration. present study, laser-texture cross-hatched topographies were analysed results obtained white light interference measurements. Measurement was defined based noisy data, also called surface, filter decomposition methods. This separation technique supported with power spectral analysis, autocorrelation function applications and texture direction characterisation. It suggested to conduct comprehensive study enhance understanding texturing direction. Various filtration techniques studied, namely robust Gaussian, spline, fast Fourier transform morphological closing-opening filters. proposed procedure validated against variations in values parameters. Validating approach, noise-sensitive compared same but received by averaging three repeated measurements, international standards. advantage method standards reducing time when must be averaged. conclusion, for high-frequency introduced through application procedure.

Language: Английский

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Fracture surface topography measurements analysis of low-alloyed corrosion resistant steel after bending-torsion fatigue tests

Precision Engineering, Journal Year: 2024, Volume and Issue: 89, P. 296 - 316

Published: July 6, 2024

Language: Английский

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Atomic Force Microscopy for Revealing Oncological Nanomechanobiology and Thermodynamics

ACS Nano, Journal Year: 2025, Volume and Issue: unknown

Published: March 14, 2025

Atomic force microscopy (AFM) is powerful nanobiotechnology for characterizing the nanotopographic and nanobiomechanical properties of live cells. Current limitations in AFM analysis nanomechanobiology include unjustified selection nesting indices filters, leading to inaccurate reporting waviness roughness parameters, inadequacies mathematical model Young's modulus. Critical biomechanical factors such as total deformation energy, elastic plastic energy are often overlooked. Here we refine optimize index filters cellular develop an artificial intelligence-based classifier that can differentiate between normal cancer The application detecting surface roughness, further enhanced by intelligence (AI), represents a substantial advancement diagnostics. Although still experimental phase, holds potential revolutionize cell biology oncology facilitating early detection advancing precision medicine. Moreover, this study's innovative exploration relationship thermodynamics introduces important perspectives on behavior at nanoscale, unlocking opportunities therapeutic interventions cutting-edge oncological research. This paradigm shift may significantly influence future trajectory therapy.

Language: Английский

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