TECHNICAL FIELD

This disclosure relates generally to three dimensional modeling systems, and more specifically, to modeling of a fluid system and/or a fluid system design tool.

BACKGROUND

During a design phase of a device or product associated with a fluid system, it is often desirable to determine impact of a fluid with respect to the device or product associated with the fluid system. To determine impact of the fluid with respect to the design, numerical analysis of two dimensional (2D) data associated with computational fluid dynamics can be employed to analyze fluid flow through the device or product. For instance, a color of a 2D surface associated with the device or product can represent a degree of fluid flow. However, analyzing impact of a fluid with respect to a design of the device or product generally involves human interpretation of 2D data, which can result in human trial and error with respect to the fluid system. Moreover, human interpretation of 2D data and/or employing multiple fluid model tools to determine impact of a fluid with respect to a design of a device or product can be burdensome with respect to cost, redundancy and/or maintenance associated with the device or product.

SUMMARY

The following presents a simplified summary of the specification in order to provide a basic understanding of some aspects of the specification. This summary is not an extensive overview of the specification. It is intended to neither identify key or critical elements of the specification, nor delineate any scope of the particular implementations of the specification or any scope of the claims. Its sole purpose is to present some concepts of the specification in a simplified form as a prelude to the more detailed description that is presented later.

In accordance with an embodiment, a system includes a modeling component, a machine learning component, a three-dimensional design component, and a data collection component. The modeling component generates a three-dimensional model of a mechanical device based on a library of stored data elements. The machine learning component predicts one or more characteristics of the mechanical device based on a machine learning process associated with the three-dimensional model. The three-dimensional design component provides a three-dimensional design environment associated with the three-dimensional model. The three-dimensional design environment renders physics modeling data of the mechanical device on the three-dimensional model based on the one or more characteristics of the mechanical device. The data collection component collects machine data via a network device of a communication network to update the three-dimensional model associated with the three-dimensional design environment.

In accordance with another embodiment, a method provides for generating, by a system comprising a processor, a three-dimensional model of a mechanical device based on a library of stored data elements. The method also provides for predicting, by the system, fluid flow and physics behavior associated with the three-dimensional model based on a machine learning process associated with the three-dimensional model. Furthermore, the method provides for rendering, by the system, physics modeling data of the mechanical device within a three-dimensional design environment based on the fluid flow and the physics behavior. The method also provides for receiving, by the system, machine data via a network device of a communication network. Furthermore, the method provides for updating, by the system, the physics modeling data within the three-dimensional design environment based on the machine data.

In accordance with yet another embodiment, a computer readable storage device comprising instructions that, in response to execution, cause a system comprising a processor to perform operations, comprising: generating a three-dimensional model of a mechanical device based on a library of stored data elements, performing a first machine learning process associated with the three-dimensional model to predict one or more characteristics of the mechanical device, generating physics modeling data for the mechanical device based on the first machine learning process, receiving, via a network device of a communication network, machine data from the mechanical device, updating the physics modeling data to generate updated physics modeling data for the mechanical device based on a second machine learning process, and providing a three-dimensional design environment associated with the three-dimensional model that renders the updated physics modeling data for the mechanical device.

The following description and the annexed drawings set forth certain illustrative aspects of the specification. These aspects are indicative, however, of but a few of the various ways in which the principles of the specification may be employed. Other advantages and novel features of the specification will become apparent from the following detailed description of the specification when considered in conjunction with the drawings.

