Artik Patel

ORCID Identifier(s)


Graduation Semester and Year




Document Type


Degree Name

Master of Science in Mechanical Engineering


Mechanical and Aerospace Engineering

First Advisor

Ping Bo Wang


The pressure vessels in industries are generally designed with a high safety factor because the rupture of a pressure vessel can be extremely dangerous. A vessel that is poorly designed or ineffectively designed to handle high pressure pose a very significant threat to life and property. Because of this, the design and verification of pressure vessels is governed by design codes specified by the ASME (American Society of Mechanical Engineers) Boiler and Pressure Vessel Code. The objective of this thesis work is to minimize the total weight of a real-world pressure vessel structure subjected to stress constraints specified by the ASME section VIII division-2 code. Optimization is the process of finding the best feasible solution amongst the conventional designs which accepts almost all designs which merely satisfies the problem requirements. The main purpose of performing design optimization in pressure vessels is to reduce cost, by reducing the weight with sufficient strength to avoid any modes of failure in the design. This work discusses size optimization of axisymmetric pressure vessel considering an integrated approach in which the optimization procedure is implemented by interfacing the commercial finite element analysis software ANSYS with MATLAB optimization algorithm. A half model is used in conjunction with a single-objective function that aims to minimize the total weight of the pressure vessel equipment. Design parameters such as shell thickness and flange thickness are optimized while limiting the maximum linearized membrane and membrane plus bending stresses below the ASME code limits.


Design optimization, ASME pressure vessel design code, Stress linearization, Stress classification, Interfacing ANSYS with MATLAB


Aerospace Engineering | Engineering | Mechanical Engineering


Degree granted by The University of Texas at Arlington