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Investigation of the impact of simulated solar radiation on the micro- and nanoscale morphology and mechanical properties of a sheet moulded composite surface


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Fig. 1

Optical microscope images (left hand side), AFM topography images (middle) and the Sobel transform of AFM topography (right hand side), of the SMC A sample (top), SMC B (middle) and SMC C (bottom).
Optical microscope images (left hand side), AFM topography images (middle) and the Sobel transform of AFM topography (right hand side), of the SMC A sample (top), SMC B (middle) and SMC C (bottom).

Fig. 2

Roughness parameters of investigated samples determined using AFM topography data.
Roughness parameters of investigated samples determined using AFM topography data.

Fig. 3

Pores parameters of investigated samples determined using AFM topography data.
Pores parameters of investigated samples determined using AFM topography data.

Fig. 4

3D image of the SMC C surface acquired with optical profilometer (left hand side) and roughness parameters of investigated samples determined using optical profilometry data (right hand side).
3D image of the SMC C surface acquired with optical profilometer (left hand side) and roughness parameters of investigated samples determined using optical profilometry data (right hand side).

Fig. 5

Microcomputer tomography data acquired at the depth of 1.5 μm from the surface of the sample (left hand side) and quantitative comparison of the voids planar area, and the void breadth as well as the material volume (right hand side).
Microcomputer tomography data acquired at the depth of 1.5 μm from the surface of the sample (left hand side) and quantitative comparison of the voids planar area, and the void breadth as well as the material volume (right hand side).

Fig. 6

The Young modulus measured using force spectroscopy (left hand side) and wettability of the surface of investigated samples (right hand side).
The Young modulus measured using force spectroscopy (left hand side) and wettability of the surface of investigated samples (right hand side).

Fig. 7

Energy dissipation for the surface deformation maps. The data was acquired using NanoSwing technique. From left to right: SMC A, SMC B, SMC C. Scan area: 50 μm × 50 ×m.
Energy dissipation for the surface deformation maps. The data was acquired using NanoSwing technique. From left to right: SMC A, SMC B, SMC C. Scan area: 50 μm × 50 ×m.

Fig. 8

The distribution of energy dissipation for surface deformation. The data was acquired with NanoSwing technique.
The distribution of energy dissipation for surface deformation. The data was acquired with NanoSwing technique.

Fig. 9

An example of the nanoindentation trace and a graph showing the changes of indentation depth and projected area of the investigated samples.
An example of the nanoindentation trace and a graph showing the changes of indentation depth and projected area of the investigated samples.

Fig. 10

The advantage of the measurement of the degradation of the surface instead of whole volume of the material.
The advantage of the measurement of the degradation of the surface instead of whole volume of the material.

The ratios of selected factors obtained for presented measurement techniques showing the sensitivity of detection of SMC surface deterioration.

ParameterB/A ratioC/A ratio
Sa2.115.50
Sq2.244.53
Sz2.082.35
SP1.412.31
Atomic force microscopySdr1.648.19
Length2.552.83
Perimeter2.813.39
Z max2.895.98
Young module0.840.56
Energy dissipation22.0536.97
Sa5.2323.20
Sq5.5220.37
Optical profilometrySz2.074.03
SP1.494.50
Sdr13.8090.63
Area-1.16
Microcomputer TomographyBreadth-1.07
Material Volume-0.63
Wettability0.910.73
Impact strength-0.97
eISSN:
2083-134X
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Materials Sciences, other, Nanomaterials, Functional and Smart Materials, Materials Characterization and Properties