# Download GTU B.Tech 2020 Summer 8th Sem 2180503 Process Modeling, Simulation And Optimization Question Paper

Download GTU (Gujarat Technological University Ahmedabad) B.Tech/BE (Bachelor of Technology/ Bachelor of Engineering) 2020 Summer 8th Sem 2180503 Process Modeling, Simulation And Optimization Previous Question Paper

Seat No.: ________
Enrolment No.___________
GUJARAT TECHNOLOGICAL UNIVERSITY
BE ? SEMESTER-VIII EXAMINATION- Summer 2020

Subject Code: 2180503

Date: 27/10/2020
Subject Name: PROCESS MODELING, SIMULATION & OPTIMIZATION
Time:
02:30 PM TO 05:00 PM

Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.

Q.1 (a) Draw the flow chart for implementing Fibonacci method.
03

04

(c) What is Optimization? List the six general steps for the analysis and solution of 07
optimization problems.

Q.2 (a) Explain the meaning of following terms for optimization: Feasible solution, feasible 03
region, optimal solution.

(b) What is simulation? Explain linear system analysis.
04

(c) Discuss the degree of freedom analysis with suitable example.
07

OR

(c) Explain the attributes of the process affecting costs/profits make them attractive for the 07
application of optimization.
Q.3 (a) Minimize f(x) = x4 ? x + 1 using Newton's method. Take starting point = 0.64.
03

(b) Explain equation oriented mode in simulation.
04

(c) For modular approach to process simulation, discuss sequential modular approach in detail. 07

OR

Q.3 (a) Determine whether the following function is convex or concave:
03

(b) Define the different measures of profitability/economic performance along with their 04
significance.

(c) Explain partitioning and tearing with example.
07
Q.4 (a) Find the Eigen value Hessian matrix for f(x) = 2x 2
1 + 3x1x2 ? 2x2 + 15.
03

(b) List out limitation of Region elimination methods. Compare different region elimination 04
methods and suggest best method for initial interval of 3.5 for accuracy of 0.1.

(c) Discuss optimization of evaporator design.
07

OR

Q.4 (a) Write different conditions for a given function to be convex or concave in tabular form.
03

(b) Minimize f(x) = 4X 2
2
1 + 5X2 subject to 2X1 + 3X2 ? 6 = 0 using Lagrange Multipliers
04
method.

(c) List out multivariable analytical methods for optimization problems with restricted 07
variables equality constraints and explain any one of them with example.
Q.5 (a) A poster is to contain 300 cm2 of printed matter with margin of 6 cm at the top and bottom 03
and 4 cm at each side. Find the overall dimensions that minimize the total area of poster.

(b) Discuss Distributed V/S Lumped Parameter models.
04

(c) List out the important model building steps for a process.
07

OR
Q.5 (a) Classify the following function that they are convex or concave.
03
(b) Explain Simultaneous modular approach in simulation.
04
(c) Discuss essential feature of optimization problem.
07

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