Autoform R11 -

Are you interested in a specific feature, such as or springback compensation ?

: The software now supports new measurement scenarios that mimic real-world manufacturing. Users can evaluate and compare multiple springback scenarios simultaneously, providing the insight needed to select the most effective compensation strategy.

This module focuses on virtual optimization for the joining and assembly of automotive body parts.

The biggest criticism of past versions was the difficulty of modifying addendum surfaces. introduces "Live Editing." autoform r11

Predicts material separation behavior for highly efficient strip nesting. 3. Elastic Tool Deflection & Over-Crowning

The underlying architecture of AutoForm R11 relies on advanced mathematical solvers tailored for rapid, highly precise convergence in nonlinear plastic deformation problems. Implicit Time Integration

Springback remains the primary obstacle to achieving immediate dimensional accuracy in sheet metal components. When a metal part is released from the constraints of a die, it naturally snaps back due to residual elastic stresses. Are you interested in a specific feature, such

The new uses machine learning trained on thousands of industrial dies:

In the fast-paced world of automotive manufacturing, precision and efficiency are paramount. With the release of , AutoForm Engineering GmbH has once again raised the bar, introducing a suite of powerful new features designed to push the boundaries of simulation accuracy. Unveiled in late 2023, the R11 generation represents a major leap forward for the industry-leading software, offering engineers unprecedented capabilities in sheet metal forming and Body-in-White (BiW) assembly processes.

AutoForm R11 is widely used across the automotive industry for high-precision stamping simulations, with documented applications in die design, process validation, and robust manufacturing, and a recent study showcases its use in optimizing the stamping process for , demonstrating significant improvements in dimensional accuracy and a reduction in defects. In the industry, AutoForm has enabled manufacturers to achieve a more efficient Bio-Intelligent Workforce (BiW) across the entire product creation process, integrating Industry 4.0 standards for full digitalization and seamless data flow. This module focuses on virtual optimization for the

With the integration of the latest material database, R11 simulates the phase transformation of boron steel during the quench. It predicts where martensite will form based on cooling rate, allowing engineers to design cooling channels directly within the simulation environment.

: Accurately calculating high yield stresses that typically trigger extreme tool wear and structural springback. Multi-Stage Process Chains

: The newly developed "smart ramp-up" methodology allows users to calculate temperature effects in cold forming. This capability helps predict part feasibility and ensure process robustness by identifying how temperature increases affect production, which is crucial for avoiding unexpected failures.