<abstract xmlns="http://www.w3.org/1999/xhtml">A number of PCB defects, though having passed successfully the defect identification procedure, can potentially grow into critical defects under the influence of various external and (or) internal influences. The complex nature of the development of defects leading to PCB failures demands developing and updating the data measuring systems not only for detection but also for the prediction of future development of PCB defects considering the external influences. To solve this problem, it is necessary to analyse the models of defect development, which will allow predicting the defect growth and working out the mathematical models for their studies.The study uses the methods of system analysis, theory of mathematical and imitation modelling, analysis of technological systems. The article presents four models for determining the theoretical stress concentration factor for several types of common defects, considering the strength loss of PCB elements. For each model the evaluation of parameters determining its quality is also given. The formulas are given that link the geometry of defects and the stress concentration factor, corresponding to four types of defects. These formulas are necessary for determining the number of cycles and time to failure, fatigue strength coefficient.The chosen models for determining the values of the stress concentration factor can be used as a database for identifying PCB defects. The proposed models are used for software implementation of the optical image inspection systems.</abstract>

A number of PCB defects, though having passed successfully the defect identification procedure, can potentially grow into critical defects under the influence of various external and (or) internal influences. The complex nature of the development of defects leading to PCB failures demands developing and updating the data measuring systems not only for detection but also for the prediction of future development of PCB defects considering the external influences. To solve this problem, it is necessary to analyse the models of defect development, which will allow predicting the defect growth and working out the mathematical models for their studies.The study uses the methods of system analysis, theory of mathematical and imitation modelling, analysis of technological systems. The article presents four models for determining the theoretical stress concentration factor for several types of common defects, considering the strength loss of PCB elements. For each model the evaluation of parameters determining its quality is also given. The formulas are given that link the geometry of defects and the stress concentration factor, corresponding to four types of defects. These formulas are necessary for determining the number of cycles and time to failure, fatigue strength coefficient.The chosen models for determining the values of the stress concentration factor can be used as a database for identifying PCB defects. The proposed models are used for software implementation of the optical image inspection systems.

Models of Printed Circuit Boards Conductive Pattern Defects

Applied Computer Systems

This work is licensed under the Creative Commons Attribution 4.0 Public License.

{"article-title":"Models of Printed Circuit Boards Conductive Pattern Defects"}

A number of PCB defects, though having passed successfully the defect identification procedure, can potentially grow into critical defects under the influence...

Models of Printed Circuit Boards Conductive Pattern Defects

Pubblicato online: 31 dic 2018

Pagine: 128 - 134

DOI: https://doi.org/10.2478/acss-2018-0016

Parole chiave
Conductive paths, mathematical model, mechanical stresses, PCB defect, printed circuit board

© 2018 Evgeniya Danilova et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 Public License.

Models of Printed Circuit Boards Conductive Pattern Defects

Pubblicato online: 31 dic 2018

Pagine: 128 - 134

DOI: https://doi.org/10.2478/acss-2018-0016

Parole chiaveConductive paths, mathematical model, mechanical stresses, PCB defect, printed circuit board

© 2018 Evgeniya Danilova et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 Public License.

Parole chiave
Conductive paths, mathematical model, mechanical stresses, PCB defect, printed circuit board