Run Model X
Welcome to RunModelX
RunModelX is a dynamic platform to enhance numerical simulations in mechanical engineering. We are your dedicated partner in making your models not just good but exceptional. The definition of a good model depends on your expectations from your numerical model. No matter what expectations you have, we would be more than happy to help you to empower your simulations with the RunModelX platform.
But let us be more clear. RunModelX is more than just a platform; it's a commitment to excellence. It’s a community to solve and overcome the numerical issues. We developed many python libraries particularly for the verification and validation of numerical simulations in computational mechanics. Our Python packages are not only free but also user-friendly, providing you with powerful tools to elevate your numerical simulations. Whether you're focused on verification, experimental validations, or diverse numerical solutions, our codes are adaptable and designed to meet your needs. All the python packages follow the clean code criteria. They are easy to use and the designed platform also is easy to install and it’s super user-friendly. We would be happy to join your journey to improve, verify and validate your numerical simulations.
Imagine that you are sitting in the airplane next to the wing. And then you see a crack at the surface of the wing of the airplane. You kindly asked a flight attendant about this crack: "Sorry, I was wondering if this crack on the wing is a big deal?". She answered you politely: "No sir, don't worry. It's just a crack". And then you suddenly see that the crack is propagated and the wing is completely detached from the main body. You asked her again "are you sure?"
Well the objective of fracture mechanics is to avoid this. Fracture mechanics studies how materials behave with cracks or flaws under stress. It analyzes crack initiation, propagation, and failure, using parameters like fracture toughness to assess resistance. Engineers apply these principles across industries like aerospace and civil engineering to design structures and components that resist failure and improve durability.
When machine is learning to use FEM!
Integrating machine learning (ML) with the Finite Element Method (FEM) enhances engineering simulations. ML optimizes mesh generation, improves material modeling accuracy, and efficiently solves inverse problems in FEM. Additionally, ML predicts failure points for proactive maintenance, broadening FEM's applicability to solve real-world challenges.
Cloud computing has revolutionized finite element simulation by providing a scalable and efficient platform for computational tasks. In this context, instead of relying on local hardware resources, finite element simulations can be performed on remote servers accessed via the internet. This allows for significant advantages such as on-demand resource allocation, enabling users to scale computational power up or down as needed. Moreover, cloud computing facilitates collaboration by providing a centralized platform where multiple users can access and work on simulations simultaneously, regardless of their physical location. Additionally, it offers cost-effectiveness by eliminating the need for costly hardware investments and maintenance, as users only pay for the computing resources they utilize. Overall, cloud computing empowers engineers and researchers to tackle complex finite element simulations with enhanced flexibility, collaboration, and cost efficiency.
Cloud computing
Vibration analysis
If you have a car with a turbofan in front of it, you probably feel vibration when you are driving. It would be, however, difficult for you to recognize the vibration components in two in-plane directions and the rotational component. You are only worry about your expensive golden mirror. You need to know what us going on in your car.
Vibration analysis involves studying the characteristics of these oscillations, such as frequency, amplitude, and damping, to understand and control the behaviour of mechanical systems, which is crucial in various fields including engineering, physics, and structural design.
Biomechanics
This is a skull of a person who lived in 1951. He had two golden teeth and we meshed his skull to show you that finite element simulation enables to analysis the deformation any objects including the skulls. This is part of biomechanics engineering.
Biomechanics is the study of the mechanical aspects of living organisms, analyzing how forces affect biological structures and systems. It encompasses various disciplines such as physiology, engineering, and anatomy to understand movement, injury mechanisms, and biological tissue response to mechanical loads. Finite element simulation, a computational technique, is extensively applied in biomechanics to model and analyze complex biomechanical systems, such as bones, muscles, and joints. By dividing these structures into small elements, finite element analysis enables the prediction of stress, strain, and deformation under different loading conditions. This simulation technique aids in the design of medical implants, prosthetics, and orthopedic devices, as well as in optimizing sports equipment and understanding injury mechanisms in sports and accidents, ultimately contributing to advancements in healthcare, sports performance, and injury prevention.
Computational fluid dynamics (CFD) uses numerical methods to simulate fluid flow and heat transfer, solving equations on a grid to analyze velocity, pressure, and temperature distributions. It's widely applied in aerospace, automotive, and environmental engineering for optimizing fluid systems and processes.
Composite materials
Fiber reinforced composite materials are made by embedding fibers, such as carbon or glass, in a matrix material, typically epoxy resin. These materials offer high strength-to-weight ratios, stiffness, and corrosion resistance compared to traditional materials like metals. In Formula 1 cars, fiber reinforced composites are extensively used for components like the chassis, bodywork, and aerodynamic elements due to their lightweight nature and ability to be precisely engineered for optimal performance. These materials enhance the car's speed, agility, and safety while reducing fuel consumption and emissions. Additionally, their flexibility allows designers to create complex shapes and aerodynamic profiles, improving overall vehicle performance on the racetrack.
Consulting in numerical simulation
At RunModelX, we go beyond providing software developing and online courses, we also offer expert consulting services to improve your engineering endeavours to new heights. We are dedicated to guiding you through the complexities of finite element simulation, vibration analysis, structural optimization, and computational fluid mechanics.
