Design Parameter Optimization to Enhance Strength of Adhesively Bonded Single Lap Joint using Taguchi Methodology

Taguchi Method is a statistical approach to optimize the process parameters and improve the quality of components that are manufactured. The orthogonal array, signal-to-noise ratio and analysis of variance are employed to study the performance characteristics of single lap joint. Thus the objective of this work is to obtain optimal values of joining process parameters such as surface texture pattern type, adhesive thickness, adherent overlap length, concentration of surface textures for each adhesive material separately for optimizing shear stress values of the joint under same loading conditions. Since here four factors at three levels i.e. 34 experiments were taken. Average Signal to Noise Ratio (SNR) for each factor at different level is determined. Analysis of variance (ANOVA) is performed for percentage of contribution of different factor. The factor that has much influence on response variable is identified through the percentage of contribution. The factor, which has more percentage of contribution, is the significant factor.