Modeling of Mating / Seperating Force in Snap-Fit Joints by Artificial Neural Networks Method by Material Type and Friction Coefficient

Journal Title: Gazi Mühendislik Bilimleri Dergisi - Year 2018, Vol 4, Issue 3

Abstract

In this study, an Artificial Neural Network Model has been developed to calculate the mating / separating forces of Snap-Fit joints. In order to determine the mating / separating force of this calculation using Computer Aided Design methodology, the tip angle (α) and friction coefficients of material types are taken as reference. For this purpose, an Artificial Neural Network (ANN) model has been developed. In this way, the material type and the end angle of the claw connection is given, without the need for any engineering account, a software capable of calculating computer-aided results has been developed. MEP% = 0.624073, RMSE = 0.008977 and R2 = 0.99999. With such a reliable and fast method, a Design method has been developed which can produce results according to the material type and the angular values of the connection snap-fit type.

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  • EP ID EP530159
  • DOI -
  • Views 116
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How To Cite

(2018). Modeling of Mating / Seperating Force in Snap-Fit Joints by Artificial Neural Networks Method by Material Type and Friction Coefficient. Gazi Mühendislik Bilimleri Dergisi, 4(3), -. https://europub.co.uk/articles/-A-530159