Siemens Digital Industries Software has introduced the latest release of its NX software as part of the Xcelerator portfolio of software and services. Accordingly, the new release leverages advanced technologies such as artificial intelligence (AI) and advanced simulation capabilities. Hence, this will enable community of designers, engineers, and manufacturers to innovate more quickly.
The new NX Topology Optimizer helps create parts based purely on functional and design space requirements. As a result, fully editable convergent bodies that are almost impossible to design and engineer manually. Inevitable design changes are possible.
Thus, automatically updating optimizations and any downstream features. This saves time, effort, and maximizes reuse of intelligence design and engineering data.
The Design Space Explorer combines design space exploration with generative engineering to help designers automatically optimize a design against multiple objectives. Design engineers define the optimization problem with all parameters, constraints, and objectives in place and NX uses Simcenter HEEDS software to conduct multi-objective parameter optimization. In short, this provides the designer immediate set of viable design alternatives to consider that would have otherwise required a simulation specialist.
The AI and ML in the Selection Prediction and Select Similar commands use shape recognition to quickly identify geometrically similar components. Nonetheless, the NX Voice Command Assist allows the user to invoke commands, navigate multi-level menus, and operations as well as teach the system words or phrases to carry out common tasks.
Meanwhile, optimization of the lattice structures within NX is possible using Siemens’ Simcenter 3D simulation to derive the optimal lattice structure in a singular environment. This eliminates the multiple design analysis steps required traditionally. Elsewhere, Part Orientation Optimization brings nesting of parts within a machine build area along with integrated cloud-based orientation optimization processes to find the optimal build orientation for reduced thermal distortion.