Multi-Objective Parametric Optimization of Fused Deposition Additive Manufacturing (FDAM) for Prosthetic Part
摘要
Fused deposition additive manufacturing (FDAM) is a widely used technology in the field of additive manufacturing, offering a variety of applications. This process involves the extrusion of melted plastic filament through a heated nozzle to create physical models layer by layer. A study conducted on the impact of the FDAM process on the manufacturing time, weight, and compressive strength of a phalange for prosthetic hands found that the process can be optimized using RSM, NSGA-II, and TOPSIS. Factors such as build orientation, layer height, printing temperature, and raster pattern were identified and modeled using RSM to reduce printing time and weight while increasing compressive strength. The optimized results showed a 5.14% reduction in manufacturing time, a 0.014% decrease in model weight, and a 4.14% increase in compressive strength compared to the initial results. These findings are essential for researchers and prosthetic manufacturers aiming to create durable and lightweight prosthetics. Integrating RSM, NSGA-II, and TOPSIS is an effective way to optimize the FDAM process and improve outcomes.