ehild said:How is a state of a gas defined? What is a state function?
Suppose you have a function F(x,y,z) and F(1,2,3)=10 and then you let the variables change, but they return to the original values (1,2,3), what will be F(1,2,3)?
ehild
Bipolarity said:So the state of the system has not changed, so the [itex]ΔH [/itex] must be 0. But what about the heat? Must it also be 0?
BiP
ehild said:If ΔH=q and ΔH=0 then what else can q be?
ehild
A cyclic thermodynamic process is a series of thermodynamic changes that start and end at the same state, resulting in a closed loop on a thermodynamic diagram. This means that the system returns to its initial state after completing a full cycle.
The first law of thermodynamics states that energy cannot be created or destroyed, but can only be transferred or converted from one form to another. In the case of cyclic thermodynamic processes, this means that the net change in energy of the system over a full cycle must be zero.
A reversible cyclic process is one in which the system can be brought back to its initial state by reversing each step of the process while maintaining equilibrium with its surroundings. An irreversible cyclic process, on the other hand, cannot be reversed and results in a net change in the system's energy and/or entropy.
Cyclic thermodynamic processes are used in a variety of practical applications, such as in the operation of heat engines (e.g. car engines) and refrigeration systems. They are also important in the study of chemical reactions and the design of industrial processes.
The Carnot cycle is a theoretical thermodynamic cycle that consists of four reversible processes: isothermal expansion, adiabatic expansion, isothermal compression, and adiabatic compression. It serves as an idealized model for a heat engine and is used to define the maximum efficiency that any heat engine operating between two temperatures can achieve. The Carnot cycle is an important concept in cyclic thermodynamics as it helps to understand the limitations of real-world thermodynamic processes.