Improvement of the manufacturing quality test of plastic containers by using thermography scans

Montejano, Roberto Carlos Martínez; Martínez, David Emmanuel García; Rodríguez, José Jimmy Jaime; Machuca, Eleazar Samuel Kolosovas; Ontañón-García, L. J.

doi:10.1080/17686733.2022.2105478

Cited by 3 publications

(1 citation statement)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Besides, an external heat source excites samples to highlight the detection target in short time, which improves the detection accuracy and ensures the detection efficiency. This active IRT detection is suitable because there is usually no obvious natural temperature difference between targets and their back-ground when testing samples without active excitation [3,4]. IRT detection exhibits the advantages of high detection efficiency and rich and complete detection information [5,6].…”

Section: Introductionmentioning

confidence: 99%

Algorithm analysis of defect depth for PVC plate with flat-bottomed holes in active pulsed infrared thermography

Gou

Qingying

Yao

et al. 2023

Meas. Sci. Technol.

View full text Add to dashboard Cite

Active infrared thermography has been extensively employed in non-destructive testing in a wide variety of fields. It is capable of extracting defect information of tested object based on the infrared thermal image sequence. However, conventional infrared thermal images are often subjected to defect information with low pixel resolution, and defects are difficult to quantitatively analyze. By exploiting flat-bottomed holes in a PVC plate as defect specimens, a method for quantitative defect depth recognition based on the fusion principal component analysis algorithm with sliding-window mechanism and the 1DResnet50-CBAM (One Dimensional - Residual Neural Network - Convolutional Block Attention Module) model was proposed for the reconstructed image sequence of active infrared thermography to address the above-described issues in this study. First, defect information and location were extracted from the original infrared sequence thermal image of the specimen using principal component analysis algorithm with sliding-window mechanism. Then, the dimension of the defect data was reduced using the temporal characteristic of the infrared temperature field. That is, the three-dimensional (3D) defect data were transformed into one-dimensional (1D) temporal infrared thermal signal. Moveover, the 1D infrared signal time series corresponding to the defect pixel points in the infrared sequence image served as the input to the network, and the defect depth served as the output for automatic defect detection and depth quantification. As indicated by the results, the proposed method based on the fusion principal component analysis algorithm with sliding-window mechanism and 1DResnet50-CBAM model is capable of accurately detecting and quantifying defects. Compared with conventional prediction algorithms, the proposed model can more effectively extract defect information from the infrared detection images, with the defect depth relative prediction error less than 1.5%. Thus, the proposed model was confirmed as an effective method and model for defect recognition and quantitative analysis using infrared thermal detection technology.

show abstract

Section: Introductionmentioning

confidence: 99%

Algorithm analysis of defect depth for PVC plate with flat-bottomed holes in active pulsed infrared thermography

Gou

Qingying

Yao

et al. 2023

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

Effect of the interlayer distribution of ZnO decorated with Ag nanoparticles on the antimicrobial activity of multilayer poly(methyl methacrylate) films

Waldo‐Mendoza,

Rivera‐García,

Robles‐Martínez

et al. 2024

Vinyl Additive Technology

View full text Add to dashboard Cite

Incorporating nanoparticles into polymer matrices for enhanced antimicrobial properties is particularly interesting. This study examines how the interlayer distribution of zinc oxide (ZnO) decorated with silver nanoparticles (AgNPs) within poly(methyl methacrylate) (PMMA) films impacts their antimicrobial activity. Various PMMA multilayer films were prepared, with the antimicrobial additive intentionally placed in the outer, core, bottom, or throughout all layers. Their efficacy was tested against gram‐negative (Escherichia coli) and gram‐positive (Staphylococcus aureus) bacteria. Results indicate that E. coli was the strain with the highest sensitivity to the system because it is a gram (−) bacterium, which could generate a lower resistance to AgNPs. On the other hand, S. aureus, being gram (+), presents a thicker lipid membrane, and peptidoglycan wall, which makes it difficult for AgNPs to enter. Films with uniform distribution throughout thickness exhibited the most sustained antimicrobial activity due to high antimicrobial concentration. This study demonstrated that the distribution of the AgNPs/ZnO system in different layers of a PMMA film influences its antimicrobial capacity. Finally, a mechanism for migrating silver ions released from the AgNPs/ZnO system in PMMA films is proposed, highlighting their interactions with bacterial cells and the subsequent antimicrobial effects.Highlights Interlayer distribution influences antimicrobial activity. Outer placement leads to rapid silver ion release. Core distribution controls antimicrobial kinetics. Uniform distribution ensures sustained activity.

show abstract

Detection of the surface coating of photovoltaic panels using drone-acquired thermal image sequences

Kim,

Perilli,

Sfarra

et al. 2024

J Therm Anal Calorim

View full text Add to dashboard Cite

Improvement of the manufacturing quality test of plastic containers by using thermography scans

Cited by 3 publications

References 31 publications

Algorithm analysis of defect depth for PVC plate with flat-bottomed holes in active pulsed infrared thermography

Algorithm analysis of defect depth for PVC plate with flat-bottomed holes in active pulsed infrared thermography

Effect of the interlayer distribution of ZnO decorated with Ag nanoparticles on the antimicrobial activity of multilayer poly(methyl methacrylate) films

Detection of the surface coating of photovoltaic panels using drone-acquired thermal image sequences

Contact Info

Product

Resources

About