ES 202 Fluid and Thermal Systems Lecture 10: Pipe Flow (Major Losses) (1/6/2003) Assignments • Reading: – Cengel & Turner Section 12-5, 12-6 • Homework: – 12-25, 12-35, 12-42 in Cengel & Turner Lecture 10 ES 202 Fluid & Thermal Systems 2 Road Map of Lecture 10 • Announcements • Comments on Lab 1 • Recap from Lecture 9 – Modified Bernoulli’s equation • Concept of viscosity • Pipe friction – – – – – friction factor significance of Reynolds number laminar versus turbulent Moody diagram flow chart to determine friction factor Lecture 10 ES 202 Fluid & Thermal Systems 3 Announcements • Lab 2 this week – dress casually – you may get wet – formation of lab group of 2-3 students (need to split into 2 groups, 1.5 periods per group) – report your lab group to me by the end of today via email, otherwise I will assign you • Extra evening office hours this week (8 pm to 10 pm) • (From tutor) Review package for Exam 1 available at the Learning Center and the new residence hall • Review session for Exam 1 on Saturday evening 8 pm to 10 pm Lecture 10 ES 202 Fluid & Thermal Systems 4 Comments on Lab 1 • Write your memorandum as if your project manager will not read your attachments: • Fundamental rules of plotting – list your p groups – state the functional relationship between p groups – always label your axes clearly – always plot the dependent variable against the independent variable! • Unit conversion is a good practice but NOT necessary in forming p groups (one of the many advantages of p group) • What is a log-log plot for? (Not necessary if a linear functional relationship exists!) • Invariance of p term does NOT imply invariance of dependent variable • Marking scheme (total 10 points): – – – – correct p group formulation: 4 points correct plotting of data: 4 points correct conclusion of data: 2 points coherence (adjustment up to 2 points) Lecture 10 ES 202 Fluid & Thermal Systems 5 Summary of Lab 1 Write-up • Upon dimensional analysis, the relevant p terms are found to be Part a: p1 Part b: P , p2 h D p1 Vavg D , p2 h D • Data analysis reveals Part a: P Part b: D constant h Lecture 10 2 Vavg D ES 202 Fluid & Thermal Systems constant 6 Recap from Lecture 9 • The Torricelli experiment (A2<< A1) Area = A1 H V Area = A2 V 2 gH A2 1 A1 2 • The “Bent” Torricelli experiment H Lecture 10 V ES 202 Fluid & Thermal Systems hmax H 7 “Modified” Bernoulli’s Equation • What if fluid friction causes some losses in the system, can I still apply the Bernoulli’s equation? • Recall the “conservation of energy” concept from which we approach the Bernoulli’s equation • Remedy: introduce a “head loss” factor Lecture 10 ES 202 Fluid & Thermal Systems 8 One Major Reason for the Losses • Fluid friction – also termed “Viscosity” – basketball-tennis-ball demonstration – exchange of momentum at the molecular scales (nature prefers “average”) – no-slip conditions at the solid surface (imagine thin layers of fluid moving relative to one another) generates velocity gradients – the two-train analogy – stress-strain relation in a Newtonian fluid stress viscosity strain rate Lecture 10 ES 202 Fluid & Thermal Systems du dy 9 Frictional Pipe Flow Analysis • Recall Modified Bernoulli’s equation • How does the head loss manifest itself? – flow velocity is constant along the pipe (which physical principle concludes this point?) – pressure is the “sacrificial lamb” in frictional pipe flow analysis Lecture 10 ES 202 Fluid & Thermal Systems 10 Pressure Drop in Pipe Flow • Recall supplementary problem on dimensional analysis of pipe flow – In dimensional representation (7 variables) P f ,V , D, , , l – In dimensionless representation (4 p groups) P VD g , 2 V Reynoldsnumber Lecture 10 l , D D relative roughness ES 202 Fluid & Thermal Systems 11 Significance of Reynolds Number • Definition of Reynolds number: V D Re • The Reynolds number can be interpreted as the ratio of inertial to viscous effects (one of many interpretations) • At low Reynolds number, – viscous effect is comparable to inertial effect – flow behaves in orderly manner (laminar flow) • At high Reynolds number, – viscous effect is insignificant compared with inertial effect. – flow pattern is irregular, unsteady and random (turbulent flow) Lecture 10 ES 202 Fluid & Thermal Systems 12 Introducing the Friction Factor • Recall results from dimensional analysis of pipe flow VD l P g1 , , 2 V D D • From hindsight, cast the above equation as VD P l g 2 , 2 V D D P f V 2 l 2 D friction factor / 2 • The friction factor (as defined) only depends – Reynolds number – relative roughness Lecture 10 ES 202 Fluid & Thermal Systems 13 How to find the friction factor? • Since the friction factor only depends on two independent p groups, it is simple to represent its variation with multiple contour lines on a 2D plane • Show the Moody diagram – representation of two p groups – partition of different flow regimes • The whole problem of finding the pressure drop across piping system is reduced to finding the friction factor on the Moody diagram Lecture 10 ES 202 Fluid & Thermal Systems 14 Flow Chart Find Reynolds number • fluid properties (, ) • geometry (D) • flow speed (V) Laminar (Re < 2300) Re V D Turbulent (Re > 2300) Find relative roughness 64 f Re Look up Moody diagram Lecture 10 ES 202 Fluid & Thermal Systems 15