OPTIMIZATION OF SHEAR AND PEEL STRESSES IN DOUBLE-L-BRACKET JOINTS USING RESPONSE SURFACE METHODOLOGY

This study aims to optimize the design parameters of a double-L-bracket joint using an analytical approach combined with Response Surface Methodology (RSM). The focus is on minimizing the joint’s shear and peel stresses, which are critical for adhesive joint integrity. A Bigwood & Crocombe analytical model was employed to simulate the stress distributions in the joint under various geometrical configurations and loading conditions. Six factors, including joint height (H), vertical arm length (L1), horizontal arm length (L2), adhesive thickness (Tg), shear force (Fx), and peel force (Fz), were analyzed. A Box-Behnken Design (BBD) was used to generate 54 configurations, and the resulting stress responses were modeled through quadratic regression models. The analysis reveals that horizontal arm length (L2), adhesive thickness (Tg), and applied forces (Fx and Fz) significantly influence the stress levels in the joint. The optimization results indicate that reducing L2 and increasing Tg can effectively minimize both shear and peel stresses. The optimized configuration achieves a peel stress of 1.450 MPa and a shear stress of 2.120 MPa, both of which align closely with analytical predictions. The close agreement between RSM-based predictions and analytical calculations validates the robustness of the model. This optimization provides valuable insights for improving the structural performance of adhesive joints in practical applications.

Authors

Institutions

Publication Details

Journal
Konya Journal of Engineering Sciences
Published
2025-03-01
DOI
https://doi.org/10.36306/konjes.1569087
Primary Topic
Mechanical Behavior of Composites
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

OPTIMIZATION OF SHEAR AND PEEL STRESSES IN DOUBLE-L-BRACKET JOINTS USING RESPONSE SURFACE METHODOLOGY

Bertan Beylergi̇l
Konya Journal of Engineering Sciences
Mechanical Behavior of Composites
article

OPTIMIZATION OF SHEAR AND PEEL STRESSES IN DOUBLE-L-BRACKET JOINTS USING RESPONSE SURFACE METHODOLOGY

Bertan Beylergi̇l
article en

Abstract

This study aims to optimize the design parameters of a double-L-bracket joint using an analytical approach combined with Response Surface Methodology (RSM). The focus is on minimizing the joint’s shear and peel stresses, which are critical for adhesive joint integrity. A Bigwood & Crocombe analytical model was employed to simulate the stress distributions in the joint under various geometrical configurations and loading conditions. Six factors, including joint height (H), vertical arm length (L1), horizontal arm length (L2), adhesive thickness (Tg), shear force (Fx), and peel force (Fz), were analyzed. A Box-Behnken Design (BBD) was used to generate 54 configurations, and the resulting stress responses were modeled through quadratic regression models. The analysis reveals that horizontal arm length (L2), adhesive thickness (Tg), and applied forces (Fx and Fz) significantly influence the stress levels in the joint. The optimization results indicate that reducing L2 and increasing Tg can effectively minimize both shear and peel stresses. The optimized configuration achieves a peel stress of 1.450 MPa and a shear stress of 2.120 MPa, both of which align closely with analytical predictions. The close agreement between RSM-based predictions and analytical calculations validates the robustness of the model. This optimization provides valuable insights for improving the structural performance of adhesive joints in practical applications.

Konya Journal of Engineering SciencesVol. 13(1)
Alanya Alaaddin Keykubat Üniversitesi (TR)
Openalex Percentile: Top 96%
Mechanical Behavior of Composites
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.