Autodesk has historically developed software and provided consulting services for metal additively manufactured (AM) lattice-type structures. Common powder-bed processes include SLM (Selective Laser Melting) / DMLS (Direct Metal Laser Sintering), and EBM (Electron Beam Melting). When considering real-life applications of these structures, many assumptions are made about the characteristics of the manufactured material. Among others, these include strength, elastic moduli, thermal properties, material density, surface finish, and structural stability. These characteristics are affected by many factors, including machine parameters, build orientation, and feature size. This session features Autodesk Explicit Solver, Nastran, Netfabb, Within.
Design, Simulation and Manufacturing Engineers, embarking on Additive Manufacturing
Daniel Noviello is a mechanical engineer in the Advanced Consulting Team at Autodesk, Inc., specializing in additive manufacturing, particularly finite element analysis (FEA) and stress analysis. He graduated from University of Queensland with a First-Class Honors in Mechanical and Space Engineering. After working for various aerospace/space companies, including GKN and Surrey Satellite Technology Limited, Daniel joined the Advanced Consulting Team to maximize in-house knowledge of stress and structural analysis, and bring key industry experience to the team. He has a passion for the practical application of new and emerging technologies to help advance the design and manufacturing industry.
The new capabilities of additive manufacturing (AM) have given many industries the capacity to print complex designs in many different materials. The benefits include customized products; improved performance with weight reduction; and the reduction of materials, manufacturing time, and assembly cost. This session will give you an overview on how Within software and Netfabb software can help you achieve these benefits. We’ll look at how to capitalize on Within software to create optimized component design using lattice-based optimization while following machine constraints. The goal is to preserve structural performance while lightweighting a part without violating design or AM constraints. We will also look at how Netfabb software provides quality control on the final part, providing support generation and slicing data for the AM machine targeted. This session features Netfabb and Within.
Printing metal parts using additive manufacturing is expansive. Most of the commercialized metal 3D printers involve cutting the metal component off the metal substrate after deposition and subsequent removal of support structure, which itself could be made of metal. Incorrect design considerations can result in distorted parts and impossible-to-remove support structures. Conformal cooling molds are a prime example of where complexity involved in design requires metal additive manufacturing. This class will follow design workflow for a conformal cooling mold using Autodesk, Inc., tools, and it will teach attendees how to account for machine constraints during design process for a successful build using metal 3D printers. This session features Within.