JOURNAL OF ADHESION - Journal - Bridge of Knowledge

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JOURNAL OF ADHESION

ISSN:

0021-8464

eISSN:

1545-5823

Disciplines
(Field of Science):

  • automation, electronics, electrical engineering and space technologies (Engineering and Technology)
  • biomedical engineering (Engineering and Technology)
  • chemical engineering (Engineering and Technology)
  • civil engineering, geodesy and transport (Engineering and Technology)
  • materials engineering (Engineering and Technology)
  • mechanical engineering (Engineering and Technology)
  • environmental engineering, mining and energy (Engineering and Technology)
  • pharmacology and pharmacy (Medical and Health Sciences )
  • forestry (Agricultural sciences)
  • agriculture and horticulture (Agricultural sciences)
  • chemical sciences (Natural sciences)

Ministry points: Help

Ministry points - current year
Year Points List
Year 2024 100 Ministry scored journals list 2024
Ministry points - previous years
Year Points List
2024 100 Ministry scored journals list 2024
2023 100 Ministry Scored Journals List
2022 100 Ministry Scored Journals List 2019-2022
2021 100 Ministry Scored Journals List 2019-2022
2020 100 Ministry Scored Journals List 2019-2022
2019 100 Ministry Scored Journals List 2019-2022
2018 25 A
2017 25 A
2016 25 A
2015 25 A
2014 20 A
2013 20 A
2012 25 A
2011 25 A
2010 27 A

Model:

Hybrid

Points CiteScore:

Points CiteScore - current year
Year Points
Year 2023 5.3
Points CiteScore - previous years
Year Points
2023 5.3
2022 4.4
2021 4.9
2020 4.9
2019 4.3
2018 3.4
2017 3.3
2016 2.7
2015 2.5
2014 2.1
2013 1.9
2012 2
2011 1.7

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total: 6

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Catalog Journals

Year 2023
  • A Bayesian regularization-backpropagation neural network model for peeling computations
    Publication
    • S. Gouravaraju
    • J. Narayan
    • R. Sauer
    • S. S. Gautam

    - JOURNAL OF ADHESION - Year 2023

    A Bayesian regularization-backpropagation neural network (BRBPNN) model is employed to predict some aspects of the gecko spatula peeling, viz. the variation of the maximum normal and tangential pull-off forces and the resultant force angle at detachment with the peeling angle. K-fold cross validation is used to improve the effectiveness of the model. The input data is taken from finite element (FE) peeling results. The neural network...

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Year 2020
Year 2012
  • Impact of interface heterogeneity on joint fracture
    Publication
    • M. Budzik
    • J. Jumel
    • M. Shanahan

    - JOURNAL OF ADHESION - Year 2012

    The effects of heterogeneities (weak zones in particular) inadhesive joints and their importance on overall fracture propertiesare relatively unknown, but doubtlessly they may be crucial inmany applications. Using a model heterogeneous adhesive bond,represented by a given mixture of regions of strong and weakadhesion, we have studied the influence of interface variabilityon overall fracture energy (global energy release rate)....

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Year 2011
Year 2009
  • Fracture in composite/aluminium joints of variable adhesive properties
    Publication

    - JOURNAL OF ADHESION - Year 2009

    A strain gauge technique recently developed with the wedge test, for estimating crack length and, thus, the fracture energy of structural adhesive bonding, has been employed on a system in which one adherend had two types of surface treatment. Simple polishing and polishing with subsequent sandblasting were the treatments used, with a distinct straight line, perpendicular to the sample edges, separating the two. Despite the clear-cut...

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