Liquid silicone rubber (LSR) is an elastomer molded into critical performance components for applications in medical, power, consumer, automotive, and aerospace applications. This article reviews process behavior, material modeling, and simulation of the (LSR) injection molding process. Each phase of the LSR injection molding process is discussed, including resin handling, plastication, injection, pack and hold, and curing; and factors affecting the molding process are reviewed. Processing behavior of LSR is marked by transient interactions between curing, shear rate, temperature, pressure, and tooling. Therefore, current LSR models for curing, viscosity, pressure, and temperature are discussed. Process dynamics and material modeling are combined in LSR injection molding simulations with applications in mold design, troubleshooting process‐induced defects, and management of shear stress and non‐uniform temperatures between LSR and substrates during overmolding. Finally, case studies using commercial simulation software are presented, which have shown cavity pressure and flow front advancement within 3% of experimental values. Optimization of LSR materials, data collection, model fitting, venting, and bonding remain areas of continued interest.

Purpose: This study aims to evaluate the performance of injection molding inserts produced via rapid and conventional manufacturing techniques considering the mechanical and thermal performance of the tools as well as the resulting molded part quality. Design/methodology/approach: Three insert materials and manufacturing techniques were evaluated, jetted photopolymer (PolyJet) 3D printing using digital ABS, direct metal laser sintering (DMLS) using bronze and machining using stainless steel. Molding trials were performed, and the insert surface temperature, longevity and part properties were evaluated. Complementary information was acquired using computer simulation. Findings: Similar behavior and part quality were observed in machined and DMLS inserts. The latter were used for 500 cycles without any signs of failure. PolyJet inserts had increased cycle time and slower rate of cooling which increased shrinkage and crystallinity in the molded parts. PolyJet inserts could be produced quickly at a lower cost than machined or DMLS inserts. Research limitations/implications: Cooling within the insert was not studied; inserts were cooled indirectly by the mold plates behind them. Subsequent studies will incorporate cooling lines directly into the inserts. Originality/value: Little research has been done to understand the thermal behavior of inserts manufactured via rapid tooling techniques. This study provides a direct comparison between rapid tooling techniques, which is supported by simulation results and analysis of the actual molding properties.

To improve part quality and consistency injection molders strive to control the temperature of the molten plastic during cavity filling. In-mold temperature sensors can effectively measure the temperature of the mold surface that contacts the melt; however, they do not provide a measure of the bulk melt temperature. An analysis was developed to use data from in-mold thermocouples to predict the plastic's bulk melt temperature. This analysis integrates the heat flux through the mold steel to calculate the bulk melt temperature. A mold instrumented with an in-mold thermocouple and an IR temperature sensor was used to validate the predictions. The effects of changing barrel temperature, coolant temperature, injection velocity, and cooling time were studied using a 21 run DOE. Validation was performed by comparing bulk temperature data from the IR temperature sensor with temperature predictions derived from the in-mold temperature sensor. Trends in the melt temperature were consistently predicted, however, the magnitudes were low due to residual heat remaining in the part at the end of the molding cycle. The analysis was more sensitive to process changes than raw data from the in-mold temperature sensor, thereby improving process observability.