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Embrace the Future of Engineering with Advanced Modeling and Simulation Techniques
Prof. Francisco Chinesta’s Revels his Formula for Surpassing the Limits of Modeling, Simulation, and Decision-Making
In an ever-evolving world, engineering and technology leaders are at the forefront of revolutionizing industries. If you are a Engineering Manager or R&D Director, the intricate dance of advanced modeling and simulation techniques is crucial to your success. Professor Francisco (Paco) Chinesta, ESI'S Scientific Director and leading researcher in hybrid AI, provides a profound exploration of these concepts that you can't afford to miss. In this article, you'll learn from one of the leading minds in this field, how you can stay ahead of the curve by embracing ESI's pioneering arts of advanced modeling and simulation techniques.
Advancing Established Modeling and Simulation Techniques in Engineering
As the demands of modern engineering grow, so too does the need for more sophisticated tools and methodologies. The traditional techniques of modeling and simulation, while foundational, must evolve to address the increasing complexity and real-time demands of today's industries. Francisco Chinesta delves into this progression, emphasizing the necessity of advancing these techniques to stay ahead.
Chinesta frames his insights through the lens of three essential arts: the art of modeling, the art of simulation, and the art of decision-making. These arts represent the pillars of ESI's modern engineering practices, guiding the development and application of advanced techniques that transcend traditional boundaries.
From the dawn of modern science, technology has enabled humans to master their environment. The journey from the first industrial revolution, driven by steam power, to the current digital age illustrates a relentless pursuit of efficiency and innovation. Initially focused on product creation, engineering has evolved to prioritize performance and real-time decision-making, driven by the need to model and simulate complex, real-world environments accurately.
"Over the next 10 years, we must advance to larger, more complex systems. Tools like SimulationX allow us to model these vast systems, but we need generative AI to create and propose innovative designs beyond our current imagination. To progress, we must leave our comfort zones and embrace new design and operational methods."
Prof. Francisco Chinesta, ESI's Scientific Directorat ESI TALKS 2024
The First Act: Mastering the Art of Advanced Modeling
ESI's legacy of innovation dates back to our first predictive simulated automotive crash test together with Volkswagen back in 1985
The first significant leap in this journey is ESI's art of advanced modeling. By deeply understanding physics across all scales, ESI has mastered the intricacies of materials, processes, and structures, even under extreme conditions. Despite the limited computational resources of the past, ESI achieved groundbreaking simulations, such as crash tests that involved fast dynamics and complex interactions. These efforts laid the foundation for a holistic, physics-based approach to modeling that continues to evolve.
"In engineering, especially in material science, we must inject our expertise in physics and mechanics into building hybrid AI models. This is how we enhance explainability, ultimately building trust. Incorporating knowledge from various fields like physics and mechanics improves our understanding of the model's mechanisms. This clarity is vital for explaining the model to customers and detecting errors."
Aurélie Jean, Computational Scientist, Author and founder of IN SILICO VERITASat ESI TALKS 2024
The Second Act: Revolutionizing with Advanced Simulation Techniques
Building on their modeling expertise, ESI introduced advanced simulation techniques to enhance both speed and accuracy. By applying cutting-edge numerical methods, ESI accelerated the predictive capabilities of their models. Techniques such as Model Order Reduction (MOR) and Proper Generalized Decomposition (PGD) have enabled near real-time simulations, culminating in the development of Augmented Virtual Prototypes (AVP). These AVPs offer detailed, real-time descriptions of physical systems, transforming how engineers approach design and analysis.
The Third Act: Decision Making with Advanced Modeling and Simulation Techniques
Despite these advancements, discrepancies between models and real-world observations persist, highlighting the need for improved decision-making tools. Enter the art of decision-making, a crucial component of the fourth industrial revolution. By integrating physics-based models with artificial intelligence, ESI developed the Hybrid Twin. This innovative approach enriches traditional models with real-time data, ensuring greater accuracy and frugality while providing holistic analyses.
Watch this video from our partner IMMERSION about the DESCARTES Project. See the fascinating Marina Bay Twin in Singapore, leveraging hybrid AI technologies.
"We must put the right data at the right place at the right moment, mixing the precision of physics-based models with the adaptability of data-driven approaches. That is called today 'hybrid artificial intelligence,' a concept introduced by ESI many years ago as the Hybrid Twin."
Prof. Francisco Chinesta, ESI's Scientific Directorat ESI TALKS 2024
Towards a Human-Centric Future with Advanced Techniques
The COVID-19 pandemic underscored the importance of resilience and adaptability. Francisco Chinesta envisions a future where human-centric technologies, such as augmented reality, blockchain, and quantum computing, merge with ESI's advanced modeling and simulation techniques to create a harmonious ecosystem. This approach empowers creativity and imagination, fostering a world where technical and societal humanism thrives.
"Engineering is the ideal field for hybrid AI models because we have centuries of knowledge on mechanics and material physics. We should leverage this to create more precise and faster models. ESI Group is going in the right direction."
Aurélie Jean, Computational Scientist, Author and founder of IN SILICO VERITASat ESI TALKS 2024
Why Advanced Modeling and Simulation Techniques Matter to You
For industry leaders, understanding and leveraging advanced modeling and simulation techniques is not just about staying ahead—it's about shaping the future. Francisco Chinesta's framework offers a roadmap for integrating these advanced techniques into your workflows, enhancing decision-making processes, and ultimately driving innovation in your field.
"Hybrid AI is no longer a future concept; it's here today. At ESI, we call it 'Hybrid Twins,' and with it, we can solve three major challenges: we can develop faster, we can develop better, and we can develop cheaper. This is our moment to advance further and embrace generative AI and generative design, unlocking the potential to create groundbreaking products that transcend traditional engineering limits and bring truly visionary ideas to life."
Prof. Francisco Chinesta, ESI's Scientific Directorat ESI TALKS 2024
Get the Full Story and Find out What is an Example of Advanced Modeling and Simulation
Ready to dive deeper into this transformative engineering concept? Here are two unmissable opportunities to learn from the leading minds in the field and explore the future of engineering firsthand!
Watch this year's ESI TALKS panel discussion where Francisco Chinesta and other thought leaders are sharing their insights about how engineers win in the era of predictive, real-time, immersive simulation and hybrid AI.
Download the full article to learn Prof. Francisco Chinesta’s formula for surpassing the simits of modeling, simulation, and decision-making and to better understand how ESI’s unique approaches are transforming engineering practices.
Author
Denise Börner
Sr. Marketing Content Specialist
Denise is a seasoned media and communication professional with over 15 years of experience in the IT industry, spanning logistics and asset management software to system simulation and virtual prototyping (CAE & PLM). With a deep passion for technological innovation and sustainability, Denise is a steadfast ambassador and fervent advocate for Virtual Prototyping, utilizing her extensive expertise to steer companies through the conundrum of terminology in the era of digital and AI. As the Sr. Marketing Content Specialist at ESI, Denise creates insightful publications that help businesses understand the technologies, methodologies, and value of shifting from physical to virtual prototype testing – a transition that is facilitated through the utilization of CAE software, augmented with immersive tools and hybrid AI technologies.