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Unlocking innovation in Aerospace and Defense

Shorten aircraft design cycles with ESTECO’s digital engineering solutions for collaboration, simulation data management and multidisciplinary design optimization.

Webinar

Unlocking design innovation: modeFRONTIER 2025 new features explained

Let's take a deep dive into modeFRONTIER, focusing on its latest innovations for process automation and design optimization.

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Showing 31 - 40 of 125 resources

Video
Master engineering complexity and speed up product development with ESTECO modeFRONTIER
With ESTECO modeFRONTIER, you can manage the logical steps of your engineering design process, perform design space exploration and search for the optimal solution efficiently and faster.
White paper
Breaking down organizational silos in simulation with business process management
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.
Video
Take full control of the engineering design process with ESTECO VOLTA
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.
White paper
Democratize product development with Simulation Process and Data Management (SPDM)
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.
White paper
The road towards safer vehicles goes through Design Optimization
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.
White paper
How to Accelerate and Democratize Your Design Processes
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.
White paper
From flying taxis to autonomous planes: How MDO is designing the aircraft of the future
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.
Video
ESTECO Technology: integration and automation
Danilo Di Stefano, modeFRONTIER Product Manager, talks about process automation and integration in the engineering design process.
Webinar
Optimization of a high power electric traction machine
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
Video
modeFRONTIER Tutorial | Integration with STAR-CCM+
Discover how to integrate modeFRONTIER with STAR-CCM+.