Multiobjective Design of Turbo Injection Mode for Axial Flux Motor in Plastic Injection Molding Machine by Particle Swarm Optimization

Abstract

This paper proposes a turbo injection mode (TIM) for an axial flux motor to apply onto injection molding machine. Since the injection molding machine requires different speed and force parameters setting when finishing a complete injection process. The interleaved winding structure in the motor provides two different injection levels to provide enough injection forces. Two wye-wye windings are designed to switch two control modes conveniently. Wye-wye configuration is used to switch two force levels for the motor. When only one set of wye-winding is energized, field weakening function is achieved. Both of the torque and speed increase under field weakening operation. To achieve two control objectives for torque and speed of the motor, fuzzy based multiple performance characteristics index (MPCI) with particle swarm optimization (PSO) is used to find out the multiobjective optimal design solution. Both of the torque and speed are expected to be maximal at the same time. Three control factors are selected as studied factors: winding diameter, winding type, and air-gap. Experimental results show that both of the torque and speed increase under the optimal condition. This will provide enough large torque and speed to perform the turbo injection mode in injection process for the injection molding machine.

Recent progress in minimizing the warpage and shrinkage deformations by the optimization of process parameters in plastic injection molding: a review

“…With the discovery of the dramatically continuous warpage of a large thin-walled workpiece during the free-cooling stage after ejection [71], Wen et al [72] investigated the combined effect of processing parameters on warpage in injection and free-cooling stages of a type of motorcycle seat support made of polypropylene (PP) with the combination of the Taguchi method and finite element modeling (FEM) analysis. In the same way, an approach of manufacturing a hard mold with micro-features for microplastic injection molding was proposed, which significantly reduced a new optical element development cycle time [73]. In order to raise the persuasiveness and confidence, multiple criteria including practicality, efficacy, ease of construction, and adequate accuracy were considered collectively to favor the Taguchi method.…”

“…In addition, particle swarm optimization (PSO) [60,61,73,104,[115][116][117][118][119], model-free optimization (MFO) [120,121], support vector machines (SVM) [122], simulated annealing, and hill-climbing are all advanced and effective ways to conduct the optimization design of process parameters. These models can be used to construct a mathematical approximation to replace expensive finite element analyses.…”

Injection-molded natural fiber-reinforced polymer composites–a review

“…Kuo and Chang suggested a turbo injection mode (TIM) for a pivotal transition engine that can provide specific injection force onto a compactly designed IM machine. Figure 3 illustrates the two-wyewye winding structure of such a machine, and it can be operated in two distinct levels of speed range (Kuo & Chang, 2015).…”

“…Fig.3Axial-flux motor (on the left-hand side) in the plastic injection-molding machine (adapted fromKuo & Chang, 2015) …”

Multiobjective Optimization of Injection Molding Process Parameters for the Precision Manufacturing of Plastic Optical Lens

“…The multiobjective optimization problem (MOP) has been widely used in the optimization of injection molding process and machine. For injection molding machine, Kuo and Chang [14] proposed a turbo injection mode (TIM) for an axial flux motor, and the particle swarm optimization (PSO) was used to find out the multiobjective optimal design solution. The product quality, energy-saving efficiency, and molding efficiency were optimized, and the corresponding multiple-objective Pareto-optimal set was obtained.…”