Abstract: The disclosure relates to an aluminum alloy and a component part prepared therefrom. The aluminum alloy comprises: 7-9 wt% of silicon (Si), 0.15-0.45 wt% of chromium (Cr), 0.1-0.3 wt% of vanadium (V), at least 0.01 wt% of strontium (Sr), 0.1-0.2 wt% of titanium (Ti), 0-0.5 wt% of manganese (Mn), 0-0.8 wt% of iron (Fe) and the balance being aluminum and inevitable impurities. The aluminum alloy of the disclosure can be exempt from heat treatment process after casting in the processing process, so as to contribute to energy conservation and emission reduction, and the component part prepared therefrom can achieve desired mechanical properties.

Abstract: The disclosure relates to an aluminum alloy and a component part prepared therefrom. The aluminum alloy comprises: 7-9 wt % of silicon (Si), 0.2-0.7 wt % of manganese (Mn), 0.09-0.4 wt % of iron (Fe), 0.1-0.3 wt % of vanadium (V), 0.1-0.2 wt % of titanium (Ti), 0.01-0.03 wt % of strontium (Sr), and the balance being aluminum and inevitable impurities, wherein the weight ratio of the manganese (Mn) to the iron (Fe) is not less than 1. The aluminum alloy of the disclosure can be exempt from heat treatment process after casting in the processing process, so as to contribute to energy conservation and emission reduction, and the component part prepared therefrom can achieve desired mechanical properties.

Abstract: A system includes a meshing module, one or more physics solvers, one or more sensitivity computation modules, and one or more optimizer modules. The meshing module generates a mesh of a design domain corresponding to an object to be manufactured. The physics solvers each generate physical field variables and objective values based on the mesh and boundary conditions specified on solid-void boundaries of the design domain. The sensitivity computation modules compute a sensitivity field based on the mesh and the physical field variables. The optimizer modules generate an updated design comprising new design variables by executing an optimization of the design domain based on the sensitivity field and the objective values. The physics solvers, the sensitivity computation modules, and the optimizer modules are iteratively executed until convergence to generate a final design based on the new design variables generated by the optimizer modules.

Abstract: A method for implementing a computer-based product design system includes selecting a baseline set of design parameters for a product derived from a plurality of potential design concepts, and simulating a design model based on a parametrization of the design model using at least some of the selected design parameters.

Abstract: A support frame for supporting a blade on a machine is provided. The support frame includes a lower frame section including a first leg, a second leg and a transverse portion that extends between the first leg and the second leg. Each of the first and second legs has a respective end portion and the transverse portion carries a lower connecting element configured to connect to a blade. An upper frame section includes a first leg, a second leg and a transverse portion that extends between the first leg and the second leg, each of the first and second legs having a respective end portion. The end portions of the respective first legs of the lower frame section and the upper frame section are connected together and the respective transverse portions of the lower frame section and the upper frame section are spaced from each other.