A system for determining impact of a fluid with respect to a design of a mechanical device associated with a fluid system, comprising: a memory storing computer executable components; and a processor configured to execute the following computer executable components stored in the memory: a modeling component that generates a three-dimensional model of the mechanical device based on point cloud data indicative of information for a set of data values associated with a three-dimensional coordinate system; a machine learning component that predicts one or more characteristics of the mechanical device based on fluid data indicative of a fluid received by the mechanical device and a machine learning process associated with the three-dimensional model, wherein the one or more characteristics relate to fluid dynamics, thermal dynamics and/or combustion dynamics throughout the mechanical device; and a three-dimensional design component that provides a three-dimensional design environment associated with the three-dimensional model, wherein the three-dimensional design environment renders physics modeling data of the mechanical device based on the fluid data and the one or more characteristics of the mechanical device on the three-dimensional model, wherein the physics modeling data are indicative of a visual representation of fluid flow, thermal characteristics and/or combustion characteristics with respect to the three-dimensional model of the mechanical device; wherein the modeling component determines, based on the point cloud data, a computational geometry for a control volume associated with the three-dimensional model, generates identification data indicative of an identifier for the control volume and updates, based on the identification data, the control volume in response to modification of computer aided design data associated with the mechanical device, wherein the control volume corresponds to a region of the mechanical device through which the fluid flows. a memory storing computer executable components; and a processor configured to execute the following computer executable components stored in the memory: a modeling component that generates a three-dimensional model of the mechanical device based on point cloud data indicative of information for a set of data values associated with a three-dimensional coordinate system; a machine learning component that predicts one or more characteristics of the mechanical device based on fluid data indicative of a fluid received by the mechanical device and a machine learning process associated with the three-dimensional model, wherein the one or more characteristics relate to fluid dynamics, thermal dynamics and/or combustion dynamics throughout the mechanical device; and a three-dimensional design component that provides a three-dimensional design environment associated with the three-dimensional model, wherein the three-dimensional design environment renders physics modeling data of the mechanical device based on the fluid data and the one or more characteristics of the mechanical device on the three-dimensional model, wherein the physics modeling data are indicative of a visual representation of fluid flow, thermal characteristics and/or combustion characteristics with respect to the three-dimensional model of the mechanical device; wherein the modeling component determines, based on the point cloud data, a computational geometry for a control volume associated with the three-dimensional model, generates identification data indicative of an identifier for the control volume and updates, based on the identification data, the control volume in response to modification of computer aided design data associated with the mechanical device, wherein the control volume corresponds to a region of the mechanical device through which the fluid flows. a modeling component that generates a three-dimensional model of the mechanical device based on point cloud data indicative of information for a set of data values associated with a three-dimensional coordinate system; a machine learning component that predicts one or more characteristics of the mechanical device based on fluid data indicative of a fluid received by the mechanical device and a machine learning process associated with the three-dimensional model, wherein the one or more characteristics relate to fluid dynamics, thermal dynamics and/or combustion dynamics throughout the mechanical device; and a three-dimensional design component that provides a three-dimensional design environment associated with the three-dimensional model, wherein the three-dimensional design environment renders physics modeling data of the mechanical device based on the fluid data and the one or more characteristics of the mechanical device on the three-dimensional model, wherein the physics modeling data are indicative of a visual representation of fluid flow, thermal characteristics and/or combustion characteristics with respect to the three-dimensional model of the mechanical device; wherein the modeling component determines, based on the point cloud data, a computational geometry for a control volume associated with the three-dimensional model, generates identification data indicative of an identifier for the control volume and updates, based on the identification data, the control volume in response to modification of computer aided design data associated with the mechanical device, wherein the control volume corresponds to a region of the mechanical device through which the fluid flows.