Multi-objective parameter optimization of fabric adhesive bonding

Abstract

Bonding strength and stretchability are two key parameters that define the quality of an adhesive-bonded fabric. However, there is a lack of studies on parameter optimization focusing on achieving multiple objectives. This study examines the optimization of adhesive bonding parameters in knitted fabric applications, focusing on achieving the highest bonding strength and stretchability. Four key process factors were analyzed using Taguchi experimental design. They are adhesive weight, distance between glue dot lines, press time, and curing time. The research aimed to identify the optimal levels for these factors to maximize the performance of polyurethane-based reactive hot melt adhesives (PUR). The experimentation was conducted using an L27 orthogonal array. The bonding strength and stretchability were analyzed through the application of signal-to-noise (S/N) ratios, general Linear model, and ANOVA. The analysis discovered different optimum values for each factor when strength and stretchability were considered separately. The S/N ratios for both responses were normalized, and a composite S/N ratio was calculated. The study highlights the importance of balancing process parameters to meet the practical requirements of the textile industry, ensuring both durability and flexibility in bonded fabrics.