Dive Into the New Age of  Data Driven Engineering Modelling and Product Design

 

electric propulsion on ANN architecture 

The propulsion plant system as a whole is multidisciplinary engineering in nature. It is concerned with the aero-thermodynamic, aeromechanical, systems, operational and control aspects of the installation, an important feature of which is the design and performance of the overall power plant or propulsion system. This comprises the engine, air intake, exhaust system, and the nacelle or housing surrounding the engine which is quite challenging and constrained effort by means of classical mechanical system.

Hybrid solver for electric propulsion plant 

This approach is based on classical systems extension to quantum states. Quantum-hybrid approach, based on development of solver for building a quantum-hybrid approach code using open-source, free software written in C++ and Python for solving partial differential equations such as the dynamic equations in unstructured mesh topologies.

The utilization of the ANN surrogate models aims to facilitate the reliability-based cycle design optimization, which replaces the time-consuming probabilistic analysis based on Monte Carlo simulation.

battery driven elctric propulsion

This approach is based on classical systems extension to quantum states. Quantum-hybrid approach, based on development of solver for building a quantum-hybrid approach code using open-source, free software written in C++ and Python for solving partial differential equations such as the dynamic equations in unstructured mesh topologies.

The utilization of the ANN surrogate models aims to facilitate the reliability-based cycle design optimization, which replaces the time-consuming probabilistic analysis based on Monte Carlo simulation.

Product design through  learning  life cycles surrogate model 

The learning surrogate LCA method is appropriate to inform system design decision making in early conceptual stages of product development.

The approach facilitates an integrated system design process, allowing the approximate and rapid assessment of environmental impact based on high-level information typically known in the conceptual phase

We Integrate With Your Product Life Cycles

aLL-i @MOveO, founded to serve innovative minds, to empower design engineers, by design intelligence enabled to be operating in cloud cluster. aLL-i @MOveO has developed engineer-i API , Design engineering suite of AI tool kit series, on design features scripted simply in python, to design, to develop, and produce innovative design model beyond imagination and knowledge of designers, in cloud platform, using design analytics and computing power of quantum and neural chips, in distributed cluster.

We have skilled to combine engineering experience and business sensibility to keep up our expertise on featured product design using data driven engineering modelling and simulation. We have applied multi point design methodologies governed by design patterns in data cluster. We apply machine learning algorithms on ANN, to increase reliability and safety on design, enhanced by immense processing power in cloud. We are open to remote contracts to provide services, support in agreed terms.

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