Barrel rifling node offset detection and subsequent optimization based on thin film IMD characteristics Johnson-cook model

Abstract

Abstract This paper proposes a nodal detection method for the detection and optimization of barrel helix offset, the barrel used in this experiment is a 3-helix barrel, which will use the special properties of the film to cover the surface of the barrel helix with a virtual IMD film, and use the unique nature of the film die offset in IMD to detect the position of the barrel helix, the area with a large die index is the area with a large helix offset of the barrel, and the IMD die index is introduced to quantify the data. The IMD die index is used to determine the helix offset of the damaged barrel. The novelty of this work is that each node can use the die index to efficiently detect the position of the barrel helix deviation, and then carry out subsequent optimization and repair work through the optimization of injection molding parameters and the design optimization of the barrel, and verify the experiment by comparing the results. Through the steady-state research mode under simulation, different permutations and combinations of the two process parameters are simulated to study their influence in the processing process. Quantitative reference indicators include but are not limited to dependent variables such as fluid flow velocity, shear rate, temperature distribution and phase transition, and the shear heating process of the injection screw is taken into account in the mold flow analysis to ensure that the die index value is more accurate. It can be seen from the analysis results that the temperature of the barrel changes after changing the groove depth and groove width, and the effect ratio of groove depth is lower than that of groove width in the same degree of size change.