RESOURCE LIBRARY

Business Process Management (BPM) is about modeling, analyzing and improving business processes - coordinating the behavior of people, systems and information. In simulation-driven product design, BPM helps overcome silos by adopting a process-oriented approach, where interdependencies between tasks become clearer. The new VOLTA BPM modules expand the benefits of the existing Simulation Process and Data Management (SPDM) technology by bringing the sequencing and orchestration of both human and machine-operated tasks from a single workflow. In this white paper, you'll read about how companies can use BPM to: increase the visibility of the simulation process, align interaction between management, engineering and simulation departments, speed up product development.

With VOLTA, ESTECO Enterprise platform for Simulation Process and Data Management (SPDM) and design optimization, you can expect to scale up the usage of simulation models and design exploration and optimization techniques across teams and different organizations to deliver better products, faster.

Read our whitepaper to learn how simulation process automation and design optimization are key to developing passive safety systems. Passive safety systems protect the occupants and other road users in the event of an impact. But designing such systems is a complex undertaking where many variables must be considered. To design passive safety systems, engineers need to meet contrasting objectives and consider multiple conditions, including different impact modes, crash test dummy sizes and types, and a broad range of vehicle variants. Simulation process automation and design optimization are essential to expedite the development process, while balancing different variables and requirements. In this white paper, you'll read about: the multidisciplinary nature of passive safety, the issues faced when designing such systems, how automation and optimization can address these challenges.

Simulation process and data management (SPDM) software has become an essential design and analysis capability, especially for large organizations that might be running dozens of simulations at any time, and then needing to track, share and recall that data at the appropriate time in the design lifecycle. Specifically, the SPDM technology is critical to: Automate the execution of complex simulation and enable more engineers to perform routine analysis. Master simulation processes** and data with version control, dependency management and traceability. Democratize the access** to simulation data among users throughout the company. In this white paper, you'll read how the right SPDM tool helps digitalize product development processes and accelerate time-to-market by scaling up the use of simulation models across global organizations and teams, in the aerospace, automotive, manufacturing and other industries.

From the recent pandemic to rising awareness of climate change, innovation is essential for the survival of today’s aerospace industry. While emergent aircraft can deliver the required level of transformative change, many challenges exist to unlock these next-generation designs. Multidisciplinary Design Optimization (MDO) is the perfect methodology to design new concepts and address complex engineering challenges, helping engineers iterate and discover innovation solutions. When working in the conceptual and preliminary design phases, engineers have the freedom to explore the entire design space using MDO. In this white paper, you'll read about: issues** associated with designing the next generation of aircraft, how to choose the right MDO framework.

Within the world of simulation, automation is a leading digital technology that’s proving its worth, accelerating and democratizing every step in the design process. Usability, though, is a key issue for many working with automated solutions. Regardless of their level of expertise, individuals are faced with complex algorithms and must identify the right optimization strategies to get the best result, while taking into account the available resources. In this white paper, you'll read how the ESTECO Autonomous Optimization technology can help: automate every sort of simulation process, free up time and human resources, democratize design space exploration and expedite decision-making processes.

Danilo Di Stefano, modeFRONTIER Product Manager, talks about process automation and integration in the engineering design process.

This webinar demonstrates the use of the electro-mechanical FEA solution JMAG for modeling and analysis of the electric machine and modeFRONTIER for simulation process automation and optimization. Adarsh Viji Elango from ESTECO, and Sainan Xue and Dheeraj Bobba from Powersys Inc. present the design process of a highly constrained multi-dimensional rotor geometry for an electric traction machine using principles of multi-objective optimization. Agenda: Introduction to Synchronous Reluctance Machines (SynRM) Baseline SynRM design and model setup in JMAG Input design space definition and performance criterion Integration of JMAG model in modeFRONTIER DOE and Optimization Set-Up in modeFRONTIER Optimization result analysis and design selection

Discover how to integrate modeFRONTIER with STAR-CCM+.

Automation is the next frontier for automotive companies, with a range of Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD) systems under development. For these ADAS/AD systems to reach the market, design teams need a robust validation strategy. The challenge lies in finding the right balance between minimizing the number of system failures while maximizing the comfort of travel in complex conditions. But existing physical test strategies are unfeasible, taking too long to complete and millions of hours of drive time. In this white paper, you'll read: how simulation can help validate next-generation vehicles using a scenario-based verification plan. how ESTECO technology was key to develop a white-box verification system, which takes advantage of statistical tools to post-process road testing and derive scenarios that are a combination of events identified during road testing.