Carnot Cycle: Understanding Why Real Engines Fall Short

AI Thread Summary
Real engines cannot achieve the efficiency of the Carnot cycle primarily due to their reliance on irreversible processes, which occur in finite time and produce friction and other losses. The Carnot cycle, characterized by reversible processes, requires infinite time to complete, making it impractical for real-world applications. Consequently, real engines experience increased entropy and heat loss, further diminishing their efficiency. The discussion emphasizes the fundamental differences between idealized thermodynamic cycles and the realities of engine operation. Understanding these limitations is crucial for advancements in engine design and efficiency.
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Why do real engines never attain the efficiency of the Carnot cycle?
 
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Two reasons:
-First, they don't use the carnot cycle because its acts slowly.
-Second, all real engines produce friction and other losses.
 
So what type are processes are we talking about?
 
Carnot cycle: reversible processes require infinite time to complete.

"Real engine:" processes are completed in finite time, and are, therefore, irreversible, meaning more heat is lost in increasing the entropy of the universe.
 
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