What is the Difference Between Cyclic and Reversible Process?

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The main difference between cyclic and reversible processes lies in the relationship between the initial and final states of a system after a process has been completed.

Cyclic Process:

  • The initial and final states of a system are identical after executing the process.
  • A cyclic process can be reversible or irreversible.
  • The overall enthalpy change in a cyclic process is equal to zero since there is no change in the thermodynamic state of the system.

Reversible Process:

  • The system can be restored to its initial state after the process is completed.
  • A reversible process is essentially reversible.
  • The process can be reversed to obtain the initial state of the system, but it is not necessarily a cyclic process.

In summary, all cyclic processes are reversible, but not all reversible processes are cyclic. A cyclic process returns the system to its original condition, while a reversible process can be reversed to return the system to its initial state.

Comparative Table: Cyclic vs Reversible Process

Here is a table comparing cyclic and reversible processes:

Feature Cyclic Process Reversible Process
Definition A process where the system returns to the same thermodynamic state after completing the process. A process that can be reversed to obtain the initial state of a system.
Reversibility Can be reversible or irreversible. Essentially reversible.
PV Curve Cyclic processes have an enclosed PV curve. Reversible processes do not have an enclosed PV curve.
Entropy A cyclic process does not create entropy. A reversible process does not create entropy.
Enthalpy The overall enthalpy change in a cyclic process is equal to zero. The overall enthalpy change in a reversible process is equal to zero.

All cyclic processes are reversible, but not all reversible processes are cyclic. In a cyclic process, the initial and final states are identical after completing the process, whereas a reversible process can be reversed to obtain the initial state of a system.