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Multibody Dynamics

Multibody Dynamics Artificial Intelligence Analysis FEA|CFD & AI Integration

Complex mechanical assemblies present design challenges that require a dynamic system-level analysis to be met. Accurate modeling can require representations of various types of components, like electronic controls systems and compliant parts and connections, as well as complicated physical phenomena like vibration, friction and noise.
MBD analysis enables us to meet these challenges by quickly evaluating and improving designs for important characteristics like performance, safety and comfort. Traditional MBD assumes that structural members are fully rigid, but with coupled using of FEA and MBD software such as Ansys, Abaqus, Simpack and MSC Adams, the structural members may be modeled with flexibility.

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Multibody Dynamics, Integrated FEA|CFD with Artificial Intelligence

Complicated Machinery & Mechanical Drive Systems

MBD simulation, or multi-body dynamics simulation, is a powerful tool used by engineers to simulate and analyze the complex interactions between components of machinery and mechanical drive systems. By creating virtual prototypes, engineers can evaluate the performance of a system and identify any potential issues or areas for improvement before building a physical prototype.

Using MBD simulation, engineers can analyze the motion and forces involved in a system, including the interactions between different components such as gears, bearings, and linkages. They can also simulate the effects of external forces, such as loads and vibrations, on the system.

By optimizing designs using MBD simulation, engineers can improve the performance, safety, and comfort of machinery and mechanical drive systems.

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Complicated Machinery & Mechanical Drive Systems, Ansys, Simulia, Siemens, Integrated FEA|CFD with Artificial Intelligence
Multibody Dynamics: Complicated Machinery & Mechanical Drive Systems

Control Systems

Control systems play a critical role in the performance and safety of many engineering systems, including machinery and mechanical drive systems. To design and optimize control systems, engineers often use a combination of MBD simulation and finite element analysis.

MBD simulation allows engineers to evaluate the dynamics of a system, including the interactions between different components and the effects of external forces. This information can be used to design and optimize control systems, such as feedback control loops, that regulate the motion and forces in the system.

Finite element analysis, on the other hand, is a technique used to simulate and analyze the behavior of a system under different loading conditions. Together, MBD simulation and finite element analysis provide a comprehensive toolset for designing and optimizing control systems for machinery and mechanical drive systems.

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Simulation Dynamics
Control Systems, Ansys, Simulia, Siemens, Integrated FEA|CFD with Artificial Intelligence
Multibody Dynamics: Control Systems

Multibody Dynamics & NVH

By combining MBD simulation and NVH finite element simulation analysis, engineers can create comprehensive models that simulate the dynamic behavior of a system, including its motion, forces, noise, and vibration. This allows for the evaluation and optimization of a system's performance and safety, as well as the development of strategies to mitigate noise and vibration issues.

The use of MBD simulation and NVH analysis is critical in the design and optimization of complex mechanical systems, enabling engineers to develop systems that meet performance and safety requirements while also minimizing noise and vibration levels.

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Multibody Dynamics & NVH, Ansys, Simulia, Siemens, Integrated FEA|CFD with Artificial Intelligence
Multibody Dynamics: Multibody Dynamics & NVH

Robots Dynamics & Performance Assessment

Robots have become an increasingly important part of modern manufacturing and industrial processes. To design and optimize robot systems, engineers often use a combination of multibody dynamics (MBD) and finite element simulation by using Coupled FEA and MBD software such as Ansys, Abaqus, Simpack and MSC Adams multibody simulation (MBS) software to simulate the transient dynamic behavior of the complete robot mechanism and control algorithm.

MBD simulation allows engineers to analyze the dynamics of a robot system by simulating the motion of multiple bodies in the system and the forces acting on them. This can include the movement of the robot arm, gripper, and other components, as well as external forces such as payloads and environmental loads. This allows for the evaluation of the robot's performance under various operating conditions, such as the speed and accuracy of movement, and can help optimize the design of the system for improved performance and efficiency.

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Robots Dynamics & Performance Assessment, Ansys, Simulia, Siemens, Integrated FEA|CFD with Artificial Intelligence
Multibody Dynamics: Robots Dynamics & Performance Assessment

Vehicle MultiBody Dynamics Simulation: Car Ride, Driveline, Engine and Tire MBD

Multi-body dynamic (MBD) simulation is a powerful tool for analyzing and optimizing the performance of different subsystems within a vehicle. By simulating the motion of multiple bodies within a vehicle, MBD simulation can evaluate how different subsystems interact with each other and how they affect the overall dynamics of the vehicle.

MBD simulation can be applied to a wide range of vehicles, including on-road and off-road vehicles such as cars, trucks, motorcycles, buses, and land machinery. It can also be used to analyze different aspects of vehicle performance, including handling, ride, driveline, comfort, and noise, vibration, and harshness (NVH).

For example, MBD simulation can be used to evaluate how changes to the suspension system or steering components affect the handling and stability of a vehicle. It can also be used to simulate the behavior of the driveline, including the interaction between the engine, transmission, and wheels, to optimize the vehicle's acceleration and fuel efficiency.

MBD simulation can also be used to evaluate the comfort and NVH characteristics of a vehicle, such as the level of vibration and noise experienced by passengers. This can include simulating the interaction between the vehicle and different road surfaces, as well as evaluating the performance of different components such as tires and suspension systems.

MBD simulation is also used in real-time applications such as Hardware-in-the-Loop (HiL), Software-in-the-Loop (SiL), and Model-in-the-Loop (MiL) testing. In these applications, a virtual model of the vehicle is integrated into a real-time testing environment to evaluate its performance in a variety of scenarios, from normal driving conditions to extreme operating conditions.

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Vehicle MultiBody Dynamics Simulation: Car Ride, Driveline, Engine and Tire MBD, Ansys, Simulia, Siemens, Integrated FEA|CFD with Artificial Intelligence
Multibody Dynamics: Vehicle MultiBody Dynamics Simulation: Car Ride, Driveline, Engine and Tire MBD