Commentaries & Highlights

 PDF Key Takeaways Successful adoption of ADAS and AV requires trust—trust by the end users, trust in the knowledge and solutions used to design, develop, and validate vehicles. Continuous optimization can be effectively applied as IoT and ML/AI techniques learn the nuances of a product’s actual, ongoing use. Modern virtual engineering ecosystems ensure conformance to regulations and safety standards as new features are derived using state of the art optimization techniques. Siemens Digital Industries Software (Siemens) solutions enable optimized product designs even as the knowledge and requirements evolve over a product’s lifecycle. Introduction Understanding how to address and validate changing requirements, whether consumer-driven or regulatory, is faster and easier using computer-based design and simulation solutions where optimization techniques can be applied. On board software-based ADAS features and low-cost sensors can provide data collection learning inside the product to improve controls based on actual usage patterns. These help engineers define scenarios that provide new opportunities to optimize a

 PDF Simulation-driven design boosted with implicit geometry modeling Key Takeaways Simulation-driven design, the process of using performance simulations early in the design cycle, particularly on the left side of the traditional product development "V," is crucial for organizations to achieve the best return on product development investments. Implicit modeling treats 3D solid geometries as a continuous field and offers several benefits. It excels in handling complex and intricate topologies, enabling the creation of highly detailed objects. Implicit modeling finds significant applications in diverse industries. It enables the creation of intricate and lightweight designs across tooling and fixtures, fluid power systems, complex structural components, medical and dental implants, high-performance sporting equipment, and more. Altair® Sulis™ (previously Gen3D Sulis) is a design software enabling fast geometry creation for additive manufacturing (AM). With both lattice and fluid flow modules, one can rapidly create AM-appropriate geometry. Now capabilities of Altair Sulis are being integrated in Altair Inspire™ expanding its

 PDF Managing relevant product lifecycle aspects of sustainability Key Takeaways Companies are struggling to define, measure, and meet their sustainability goals. The Aras platform provides the ability to reduce sustainability challenges, enabling flexible transformation to meet business objectives and the needs of a circular economy. The Aras platform can help companies manage the processes for reducing their product carbon footprint from raw material extraction, design, manufacturing, transport, and through end-of-life to meet the needs of a circular economy and UN Sustainability Goals both now and in the future. The Aras platform enables companies to transform from document-centric to data-driven product information, as well as manage all types of sustainability data (e.g., CO2, substance, material, regulatory), which will continue to evolve in the future across the product lifecycle, in an expanding circular economy. Designing for sustainability cannot take place without intensive collaboration with the product lifecycle value chain. Aras provides significant capabilities to collaborate with suppliers through

 PDF Key Takeaways Autodesk PLM is a SaaS Cloud solution for product design and manufacturing that provides connected product development and suppler collaboration with a closed-loop quality management capability. Autodesk PLM enables connected product development across the supply chain with automated processes and supplier collaboration. Autodesk PLM has a New Product Introduction/Development business process workspace that aids companies in reducing their time-to-market. Autodesk PLM is designed to provide companies with the flexibility to rapidly adapt to changing customer and business needs. Historically, as products began to be mass produced, organizations found it more efficient to divide labor into focused functions (i.e., engineering, manufacturing, sourcing, quality, service, etc.). Within each of these areas, productivity increased due to efficient processes, technological enhancements, and automation. However, these functions often became silos of data, disconnected from one another with limited collaboration and process sharing across the domain boundaries. Today, products are becoming increasingly complex, smart, and connected. They span