Conservation of mass connects the flow entering a system with the flow leaving it, while accounting for changes in density when conditions vary. Engineers use this relationship to evaluate internal flows and relate quantities such as velocity, density, and passage size. It provides a consistency check for models of pipelines, pumps, turbines, and other flow systems.
Viscosity characterizes a fluid’s resistance to deformation and influences how motion produces internal resistance and pressure losses. Pressure describes forces distributed within the fluid and can change as velocity, geometry, or flow conditions change. Considering both variables helps engineers assess performance and energy requirements in systems where fluid movement interacts with solid boundaries.
Momentum analysis relates fluid motion to forces, including the pressure forces associated with flow. Energy analysis connects variables such as pressure, velocity, density, and temperature under specified conditions. Used together, these principles help predict drag, pressure losses, and the performance of components such as pumps and turbines, rather than treating flow variables independently.
Analytical models describe fluid behavior through mathematical relationships and specified assumptions. Computational fluid dynamics evaluates those relationships numerically to study flow fields that may be difficult to solve directly, while experimental measurements provide observed data. Engineers can use these approaches to examine internal or external flows and compare predicted behavior with measured performance.
An analysis begins by identifying the flow system, selecting relevant variables, and specifying conditions such as pressure, velocity, density, viscosity, or temperature. Engineers then apply conservation of mass, momentum, and energy using an analytical, computational, or experimental approach. The resulting predictions or measurements can be examined for drag, losses, stability, turbulence, and system performance.
Engineers apply it when designing or optimizing systems in which moving liquids or gases affect efficiency, safety, or performance. Examples include pipelines, pumps, turbines, aircraft, automobiles, and environmental systems. Depending on the design question, the analysis can support predictions of pressure losses, drag, flow behavior, stability, or turbulence before or alongside performance evaluation.