Multi-objective optimization of tensile properties of additively manufactured ABS parts via response surface methodology

Additive manufacturing (AM), particularly fused deposition modeling (FDM), faces challenges in achieving optimal mechanical properties for printed parts. This study focuses on the multi-objective optimization of tensile properties, namely, ultimate tensile strength (UTS) and elastic modulus (E), for acrylonitrile butadiene styrene (ABS) specimens fabricated via FDM. A systematic approach employing Response Surface Methodology (RSM) with a Box-Behnken Design (BBD) was implemented to investigate and simultaneously maximize these properties. Five key process parameters were examined: nozzle temperature (۲۲۰–۲۵۰°C), printing speed (۲۰–۵۰ mm/s), layer thickness (۰.۱–۰.۳ mm), raster angle (۰–۹۰°), and wall count (۲–۶). A total of ۴۶ experimental runs, each repeated three times, were conducted according to the BBD matrix. The results identified an optimal parameter set for concurrent maximization: a nozzle temperature of ۲۵۰°C, printing speed of ۲۰ mm/s, layer thickness of ۰.۱ mm, raster angle of ۷۴.۵۵°, and a wall count of ۲.۵۷. This combination yielded predicted maximum values of ۲.۰۰۰۶ GPa for E and ۳۱.۰۷۷۲ MPa for UTS. Experimental validation using the approximated optimal parameters (۷۵° raster angle, wall count of ۲) confirmed the model's reliability, producing measured values of ۱.۸۹۲ GPa for E and ۲۹.۹۶۵ MPa for UTS. The differences between predicted and experimental results were ۵.۴۹% for E and ۳.۷۱۱% for UTS, demonstrating the efficacy and robustness of the BBD-based RSM model in optimizing the tensile performance of FDM-printed ABS components.

کلیدواژه ها:

Additive manufacturing ، Fused deposition modeling ، Acrylonitrile butadiene styrene ، Response surface methodology ، Multi-objective optimization