Autoform R11 New! Info
The you primarily work with (e.g., aluminum, high-strength steels)?
The R11 generation's impact extends beyond core forming and assembly. is a dedicated software tool launched alongside R11 for the creation of high-quality CAD surfaces for manufacturing within the AutoForm Forming suite, further streamlining the die face design process. Additionally, AutoForm TubeXpert R11 offers an intuitive solution for the rapid tool design and simulation of tube bending, forming, and hydroforming processes, supporting both cold and hot tube forming.
Based on the architecture of R11, the industry can expect: autoform r11
Traditional simulations assumed that welding caused zero geometric distortion to adjacent sheets. However, localized heat input from modern lasers triggers expansion, contraction, and thermal warping.
AutoForm R11 introduces a to compute these subtle temperature shifts during cold forming. Engineers can now map how localized heating alters material flow, yield strength, and lubricant performance, ensuring process robustness over sustained manufacturing runs. 2. Multi-Part Process Modeling The you primarily work with (e
Unlike legacy simulation software that relies on simplified thin-shell mathematical assumptions, AutoForm R11 deploys highly refined thick-shell elements. This architectural pivot allows the system to accurately map plastic deformation and shear behaviors across critical cross-sections. Advanced Through-Thickness Integration
Springback—the tendency of stamped metal to partially revert to its original shape—is a major source of dimensional variation. AutoForm Forming R11 brings significant enhancements to springback measurement scenarios, allowing users to measure springback exactly as it occurs in the real manufacturing process. Engineers can now evaluate and compare multiple measurement scenarios simultaneously, gaining a deeper understanding of how a part is affected in each case. This insight enables them to select the most appropriate scenario for precise springback compensation, reducing costly die tryouts. AutoForm R11 introduces a to compute these subtle
The new uses machine learning trained on thousands of industrial dies: