Multi-objective Optimization Strategies

Abstract

In this chapter, multi-objective optimization as a strategy for quality production of parts through fused deposition modelling is presented. Various techniques used in undertaking the multi-objective optimization process are described based on case studies from the literature and the authors' data. The general algorithms for multi-objective optimization of the FDM process are described. The most significant objectives of the various optimization cases are identified and described in relation to the quality of the fused deposition modelling of parts. The main objectives for optimizing fused deposition process are (i) to increase the rate of production, (ii) to reduce material wastage and utilize as minimum material as possible, (iii) save on the cost of power consumption during printing and (iv) achieve the highest quality of FDM parts. Keywords 3D printing • Fused deposition modelling • Genetic algorithms • Grey relational degree • Multi-objective optimization • Pareto • Printing parameters

Modeling of the mechanical properties of fused deposition modeling (FDM) printed fiber reinforced thermoplastic composites by asymptotic homogenization

“…11,12 This is a highly employed technique among all additive manufacturing types for low and medium batches. 13 Highly anisotropic properties occur due to the process employed in FDM. 14,15…”