Research on Quality Characterization Method of Micro-Injection Products Based on Cavity Pressure

Abstract

The cavity pressure in the injection molding process is closely related to the quality of the molded products, and is used for process monitoring and control, to upgrade the quality of the molded products. The experimental platform was built to carry out the cavity pressure experiment with a micro spline injection mold in the paper. The process parameters were changed, such as V/P switchover, mold temperature, melt temperature, packing pressure, and injection rate, in order to analyze the influence of the process parameters on the product weight. The peak cavity pressure and area under the pressure curve were the two attributes utilized in investigating the correlation between cavity pressure and part weight. The experimental results show that the later switchover allowed the injection to proceed longer and produce a heavier tensile specimen. By comparing different cavity pressure curves, the general shapes of the curves were able to indicate different types of shortage produced. When the V/P switchover position is 10 mm, the coefficient of determination (R2 value) of part weight, for the peak cavity pressure and area under the curve, were 0.7706 and 0.8565, respectively. This showed that the area under the curve appeared to be a better process and quality indicator than the peak cavity pressure.

Quality monitoring and control for plasticization of acrylonitrile‐butadiene‐styrene regrind polymer in injection molding

“…Thus, while the quality indexes derived from the upstream sensor (i.e., the nozzle) reflected dynamic variations in the melt quality, those obtained from the downstream sensor (i.e., within the mold cavity) provided a better indication of the final injection molded part quality. The results were thus consistent with the findings of Kazmer et al 23 Wang et al 35 showed that the pressure integral evaluated over the measuring time (referred to as the viscosity index in 33 ) took better account of the full history of the rheological changes of the molten polymer on the molded part quality than the pressure peak. Hence, it is a more appropriate indicator to monitor the quality of injection molded components.…”

Extraction of Time-Domain Characteristics and Selection of Effective Features Using Correlation Analysis to Increase the Accuracy of Petroleum Fluid Monitoring Systems

“…In the past few decades, various advanced computational methods have been applied in various fields of study such as chemical engineering [32][33][34][35][36][37], electrical and computer engineering [38][39][40][41], civil engineering [42][43][44], mechanical engineering [45][46][47][48][49][50][51], petroleum engineering [52][53][54][55][56][57][58][59][60][61][62][63], and environmental engineering [64,65], etc. The ANN has been demonstrated to be the most potent technique for classification and prediction among the aforementioned computational methods.…”

Optimize Injection-Molding Process Parameters and Build an Adaptive Process Control System Based on Nozzle Pressure Profile and Clamping Force

“…To examine the injection-molding process, installing sensors in the machine or mold is a common approach. Wang [ 1 ] et al defined cavity peak pressure and cavity pressure integral as the quality index and found the significant correlations between cavity peak pressure, cavity pressure integral, and product weight. Chen [ 2 ] et al proposed the peak pressure, viscosity index (which is the pressure–time integral), energy index, and pressure gradient as the quality indexes according to the measurement results of the pressure sensor installed in the nozzle, sprue, and cavity.…”