Download GTU BE/B.Tech 2019 Summer 8th Sem New 2182605 Rubber Product And Process Computer Aided Design Question Paper

Download GTU (Gujarat Technological University) BE/BTech (Bachelor of Engineering / Bachelor of Technology) 2019 Summer 8th Sem New 2182605 Rubber Product And Process Computer Aided Design Previous Question Paper

1
Seat No.: ________ Enrolment No.___________

GUJARAT TECHNOLOGICAL UNIVERSITY

BE - SEMESTER ?VIII(NEW) EXAMINATION ? SUMMER 2019
Subject Code: 2182605 Date:09/05/2019

Subject Name: Rubber Product & Process Computer Aided Design

Time: 10:30 AM TO 01:00 PM Total Marks: 70

Instructions:

1. Attempt all questions.

2. Make suitable assumptions wherever necessary.

3. Figures to the right indicate full marks.


MARKS

Q.1 (a) Explain Schematically represent the structure of black box principle. 03
(b) What do you mean by Design? Give examples of optimization in rubber
industries.




04
(c) Minimize the function of f(X) = X
3
?X+1 by using Newton?s method. 07

Q.2 (a) Write the structure of black box principle. 03
(b) Write the scope of Simulation. 04
(c) Define the term:-Optimization. How the Simulation differs from
optimization?
07
OR
(c) Discuss the procedure for solving the optimization problems. 07
Q.3 (a) Explain feasible region in context of optimization. 03
(b) Analysis of functions for continuity. Are the following functions
continuous?
(A) F(x) = 1/x
2
(B) F(x) = ln x. in each case specify the range of x for
which f(x) and f?(x) are continuous.
04
(c) Maximize the function of f(x) = x
2
-3x +2 by using Newton?s method. 07
OR
Q.3 (a) Explain feasible region in context of optimization. 03
(b) Write the scope of optimization. 04
(c) Explain the concept of Fitting models to Data. 07
Q.4 (a) Write any three basic components of FEA. 03
(b) Discuss the effect of mutation probability on performance of GA. 04
(c) Based On Least Square Method Fit the Model y=?0+ ?1x to the following
data. Where y is the measured response and x is the dependent variable.

x 0 2 3 4 5 6
y 0 4 6 8 10 12

07

OR


Q.4 (a) Discuss effect of population size, number of
generations, Cross over probability and mutation probability on
performance of GA.

03
(b) Discuss the effect of Rank selection in GA. 04




(c) Explain the theory and working of FEA and discuss basics of FEA for
Rubber product design.
07
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1
Seat No.: ________ Enrolment No.___________

GUJARAT TECHNOLOGICAL UNIVERSITY

BE - SEMESTER ?VIII(NEW) EXAMINATION ? SUMMER 2019
Subject Code: 2182605 Date:09/05/2019

Subject Name: Rubber Product & Process Computer Aided Design

Time: 10:30 AM TO 01:00 PM Total Marks: 70

Instructions:

1. Attempt all questions.

2. Make suitable assumptions wherever necessary.

3. Figures to the right indicate full marks.


MARKS

Q.1 (a) Explain Schematically represent the structure of black box principle. 03
(b) What do you mean by Design? Give examples of optimization in rubber
industries.




04
(c) Minimize the function of f(X) = X
3
?X+1 by using Newton?s method. 07

Q.2 (a) Write the structure of black box principle. 03
(b) Write the scope of Simulation. 04
(c) Define the term:-Optimization. How the Simulation differs from
optimization?
07
OR
(c) Discuss the procedure for solving the optimization problems. 07
Q.3 (a) Explain feasible region in context of optimization. 03
(b) Analysis of functions for continuity. Are the following functions
continuous?
(A) F(x) = 1/x
2
(B) F(x) = ln x. in each case specify the range of x for
which f(x) and f?(x) are continuous.
04
(c) Maximize the function of f(x) = x
2
-3x +2 by using Newton?s method. 07
OR
Q.3 (a) Explain feasible region in context of optimization. 03
(b) Write the scope of optimization. 04
(c) Explain the concept of Fitting models to Data. 07
Q.4 (a) Write any three basic components of FEA. 03
(b) Discuss the effect of mutation probability on performance of GA. 04
(c) Based On Least Square Method Fit the Model y=?0+ ?1x to the following
data. Where y is the measured response and x is the dependent variable.

x 0 2 3 4 5 6
y 0 4 6 8 10 12

07

OR


Q.4 (a) Discuss effect of population size, number of
generations, Cross over probability and mutation probability on
performance of GA.

03
(b) Discuss the effect of Rank selection in GA. 04




(c) Explain the theory and working of FEA and discuss basics of FEA for
Rubber product design.
07
2
Q.5 (a) Write any three Disadvantages of ANN method. 03
(b) Write the method of deciding the concavity or convexity of a function. 04
(c) If the optimization problem is to minimize objective function y = 4 x1 ?
3x2 subject to the constraints
x1-3 x2 ?4
2 x1+4 x2?15
- x1+ x2?6
x1 , x2 ?0
Find the optimum values of x1 , x2 and y
07
OR
Q.5 (a) Define the Terms:- (1)Execute (2) Analysis (3) FEA 03
(b) Discuss the Network Modes of training in ANN. 04
(c) Maximize y=x1+x2-x3, Subject to x1+x2-x3=4, 2x1+x2 ? 5
Find the optimum values of x1,x2,x3 and y
07

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