2015
DOI: 10.1080/00218464.2015.1113525
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Functionally Graded Adhesive Joints Bonded by Honeymoon Adhesion Using Two Types of Second Generation Acrylic Adhesives of Two Components

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Cited by 34 publications
(20 citation statements)
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“…The interest in FGAs has increased in recent years [9][10]. FGA joints involve a continuous variation of the adhesive properties along the overlap allowing for the homogenization of the stress distribution and load transfer.…”
Section: Nomenclature and Unitsmentioning
confidence: 99%
See 1 more Smart Citation
“…The interest in FGAs has increased in recent years [9][10]. FGA joints involve a continuous variation of the adhesive properties along the overlap allowing for the homogenization of the stress distribution and load transfer.…”
Section: Nomenclature and Unitsmentioning
confidence: 99%
“…The development of dedicated stress analyses to predict the stress distribution is then of the highest interest to tailor the strength of such joints. The Finite Element (FE) method is able to address the stress analysis of FGA joints [9,11]. However, FE analyses are computationally costly, so that simplified stress analyses would be useful to allow for extensive parametrical studies, optimization processes and fast decision-making at the pre-sizing stage.…”
Section: Nomenclature and Unitsmentioning
confidence: 99%
“…The method provides significant opportunity for controlling gradation of property which is excellent for optimisation tuning purposes. Kawasaki et al [58] proposed a simpler way of achieving FGA layer by using two part stiff and compliant adhesive materials. They used a multiaxis (SHOTMASTER DS SM200DSZ, Musashi Engineering Co. Ltd, Japan) robot to dispense the adhesives on the adherends.…”
Section: Manufacturing and Experimental Testingmentioning
confidence: 99%
“…In a previous work, we proposed a manufacturing method using two types of second-generation acrylic adhesives (SGAs) of two components 7) . SGA can be cured at a wide range of mixing ratios.…”
Section: Introductionmentioning
confidence: 99%