/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q141E Maintaining pipe wall temperatur... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Maintaining pipe wall temperature. Maintaining a constant pipe wall temperature in some hot-process applications is critical. A technique that utilizes bolt-on trace elements to maintain temperature was presented in the Journal of Heat Transfer (November 2000). Without bolt-on trace elements, the pipe wall temperature of a switch condenser used to produce plastic has a uniform distribution ranging from 260° to 290°F. When several bolt-on trace elements are attached to the piping, the wall temperature is uniform from 278° to 285°F.

a. Ideally, the pipe wall temperature should range between 280° and 284°F. What is the probability that the temperature will fall in this ideal range when no bolt-on trace elements are used? When bolt-on trace elements are attached to the pipe?

b. When the temperature is 268°F or lower, the hot liquid plastic hardens (or plates), causing a buildup in the piping. What is the probability of plastic plating when no bolt-on trace elements are used? When bolt-on trace elements are attachedto the pipe?

Short Answer

Expert verified

a. The probability that the temperature will fall is 0.133 when no bolt-on trace elements are used.

The probability that the temperature will fall is 0.571 when bolt-on trace elements are used.

b. The probability of plastic plating is 0.267 when no bolt-on trace elements are used.

The probability of plastic plating is 0 when bolt-on trace elements are used.

Step by step solution

01

Given Information

When without bolt on-trace elements, the pipe wall temperature is uniform from 260°F to 290°F

Let x be a random variable that follows uniform distribution.

The p.d.f is given below

fx=1290-260; 260⩽x⩽290=130; 260⩽x⩽290

When several bolt-on trace element are attached to the piping, the wall temperature has a uniform distribution ranging from 278°F to 285°F.

The p.d.f is given by

fx=1285-278; 278⩽x⩽285=17; 278⩽x⩽285

02

(a) Identify the probability for given conditions

When, no bolt-on trace elements are used.

The probability that the temperature will fall in range between

p280<x<284=∫280284130dx=130x280284=130284-280=0.133

Hence, the probability is 0.133.

When, bolt-on trace elements are used

The probability that the temperature will fall in range between 280°Fand 284°F

p280<x<284=∫28028417dx=17x280284=17284-280=0.571

Thus, the probability is0.571.

03

(b) Compute the probability

When, no bolt-on trace elements are used.

The probability of plastic plating is

px⩽268=∫260268130dx=130x260268=130268-260=0.267

Therefore, the probability is 0.267.

When, the bolt-on trace elements are used.

The probability of plastic plating is zeroas the value of x is not in between the range when the temperature is lower or268°F.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Hospital patient interarrival times. The length of time between arrivals at a hospital clinic has an approximately exponential probability distribution. Suppose the mean time between arrivals for patients at a clinic is 4 minutes.

a. What is the probability that a particular interarrival time (the time between the arrival of two patients) is less than 1 minute?

b. What is the probability that the next four interarrival times are all less than 1 minute?

c. What is the probability that an interarrival time will exceed 10 minutes?

If x is a binomial random variable, compute for each of the following cases:

  1. n = 4, x = 2, p = .2
  2. n = 3, x = 0, p = .7
  3. n = 5, x = 3, p = .1
  4. n = 3, x = 1, p = .9
  5. n = 3, x = 1, p = .3
  6. n = 4, x = 2, p = .6

NHTSA crash safety tests. Refer to Exercise 4.21 (p. 224)and the NHTSA crash test data for new cars. One of the variablessaved in the accompanying file is the severity ofa driver’s head injury when the car is in a head-on collision with a fixed barrier while traveling at 35 miles per hour. The more points assigned to the head-injury rating,the more severe the injury. The head-injury ratings can be shownto be approximately normally distributed with a meanof 605 points and a standard deviation of 185 points.One of the crash-tested cars is randomly selected from the data, and the driver’s head-injury rating is observed.

a. Find the probability that the rating will fall between 500 and700 points.

b. Find the probability that the rating will fall between 400and 500 points.

c. Find the probability that the rating will be less than 850points.

d. Find the probability that the rating will exceed 1,000points.

Waiting for a car wash. An automatic car wash takes exactly 5 minutes to wash a car. On average, 10 cars per hour arrive at the car wash. Suppose that 30 minutes before closing time, 5 cars are in line. If the car wash is in continuous use until closing time, will anyone likely be in line at closing time?

Acceptance sampling of a product. An essential tool in the monitoring of the quality of a manufactured product is acceptance sampling. An acceptance sampling plan involves knowing the distribution of the life length of the item produced and determining how many items to inspect from the manufacturing process. The Journal of Applied Statistics (April 2010) demonstrated the use of the exponential distribution as a model for the life length x of an item (e.g., a bullet). The article also discussed the importance of using the median of the lifetime distribution as a measure of product quality since half of the items in a manufactured lot will have life lengths exceeding the median. For an exponential distribution with a mean θ, give an expression for the median of the distribution. (Hint: Your answer will be a function of θ.)

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.