PhD Mechanical Engineering

The PhD program in Mechanical Engineering provides the candidates with an extensive measure of developing their skill set in the field of mechanical engineering. The candidates will learn the real time application in advanced versions throughout the course works.

The program will be consisted of research based projects along with research papers with an in-depth learning of creating and converting the actual product and the marketing of the very product side by side. The mechanical components and past principles will also be taught to the candidates to provide for a much interesting curriculum to the candidate.

 

What will you learn from this course

Through this PhD program you will be able to do the following

  • You will work on research based project.
  • You will able to apply engineering principles within and outside the classroom
  • Develop skill set relevant to employers need
  • Students are able to take leadership roles and move up the career ladder more quickly
General studies
subjects
semester
units
course
description
Information Research Strategies 2 Introduction to information research including electronic resources. This course is designed to help researchers locate, evaluate, and use information. It includes exploration of the research process, search strategies, locating resources, source documentation, and organization of research.
General studies
subjects
semester
units
course
description
Statistical Modeling and Analysis for Complex Data Problems 2 Reviews some of today’s more complex problems, and reflects some of the important research directions in the field. work in areas of theoretical statistics, applied statistics, probability theory, and shastic processes – present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains.
Optimal Experimental Design 2 Introduces the philosophy of experimental design, provides an easy process for constructing experimental designs, calculating necessary sample size using R programs and teaches by example using a custom made R program package:
Mathematical Modeling 2 complete range of basic modeling techniques: it provides a consistent transition from simple algebraic analysis methods to simulation methods used for research. Such an overview of the spectrum of modeling techniques is very helpful for the understanding of how a research problem considered can be appropriately addressed.
Research Methods and Design 2 Learners gain a thorough understanding of statistical tests appropriate to their dissertation topic and design, how to interpret the results of the tests and how to conduct follow-up analyses, as appropriate. This course includes guidelines and "best practices" for collecting data. Power analysis, what it is, why do it, and how to use available software is covered. Data preparation, use of software to analyze data, and understanding the calculated results are covered. Experience with computer-based statistical analysis techniques is stressed. Emphasizes what is applicable to the Learner’s proposed research questions, design, construct/variable definitions and properties of measurements. Satisfactory/Unsatisfactory grade only.
Dissertation Planning, Writing, and Defending 2 step-by-step through the dissertation process, with checklists, illustrations, sample forms, and updated coverage of ethics, technology, and the literature review.
General studies
subjects
semester
units
course
description
Nonlinear Systems Analy & Control 3 Studies nonlinear systems from perspective of analysis/control system design. Explores fundamental properties for nonlinear differential equations in addition to describing functions, phase plane analysis, stability/instability theorems. Develops and applies control system design approaches for nonlinear systems, including feedback linearization and sliding mode control.
Advanced Dynamics 3 Systematic study of principles of mechanics from a modern perspective. Includes rates of change of position and orientation; angular velocity and acceleration; linear velocity and acceleration; generalized coordinates and velocities; properties of distributed mass; generalized active and inertia forces for holonomic and nonholonomic systems; potential energy, kinetic energy, and virtual work.
Advanced Heat Transfer 3 Advanced topics on conduction, convection, radiation, and heat exchangers are covered. Emphasis is on problem formulation, exact solutions, some coverage of empirical results, and computational techniques.
Linear Systems Theory and Design 3 Overview of linear algebra, modern control; state-based design of linear systems, observability, controllability, pole placement, observer design, stability theory of linear time-varying systems, Lyapunov stability, optimal control, linear quadratic regulator, Kalman filter,
Dynamic Behavior of Materials 3 Covers the dynamic stress-strain aspects of material behavior, discusses elastic waves in bounded media, describes the Hopkinson bar, an experimental tool for the determination of the dynamic strength of materials, and includes impacts of bars and response of high strain rate.
General studies
subjects
semester
units
course
description
Design Optimization 3 Covers mathematical optimization methods useful for engineering design optimization. Includes classical methods as well as new techniques. Emphasizes practical applications and the selection of optimization methods for the solution of specific problems in design.
Advanced Acoustics 3 Advanced concepts in acoustics with emphasis on modeling of sound sources, sound interaction with solid structures, transmission and radiation of sound. Discusses numerical acoustics, statistical energy analysis, and sound quality concepts. Provides beneficial background in basic vibrations and noise control.
Advanced Vibrations 3 Free and forced vibration of continuous systems with applications to strings, shafts, beams, plates and membranes. Problems formulated using Hamilton's principle and Lagrange's equations. Approximate methods of solution include the Rayleigh-Ritz method and Galerkin's method.
Advanced Powertrain Instrumentation and Experimental Methods 3 Students will be exposed to unique instrumentation used in modern powertrain research and development. Through hands-on experimentation students will learn techniques for installation, usage, and calibration. Students will also be exposed to data quality checks and techniques to mitigate experimental variation.
Advanced Combustion 3 The objective is to understand basic combustion processes through detailed chemical reaction step analysis. Introduces both analytical and modern experimental methods. Emphasizes gas liquid fuel combustion, flame propagation, and critical phenomena of ignition and extinction.
Advanced Machining Processes 3 Covers mechanics of 2-D and 3-D cutting and their extension to commonly used processes such as turning, boring, milling, and drilling. Topics include force modeling, surface generation, heat transfer, tool life and dynamics.
Advanced Metal Forming 3 Introduces fundamentals of plasticity theory and applies to the analysis of deformation processes. Processes considered are forging, extrusion, wire drawing, bending, deep drawing, and stretch forming. Emphasizes sheet metal formability.
Experimental Methods Vibro-Acoustics 3 Covers operating data measurement and analysis, including multisource ODS. Includes signature analysis and order tracking; modal theory, modal scaling. FRF estimators; multiple input excitation techniques; parameter estimation methods; sound measurements and acoustic intensity; sound quality; field data acquisition, DAT; binaural recording and playback with equalization.
Introduction to Robotics and Mechatronics 3 Cross-discipline system integration of sensors, actuators, and microprocessors to achieve high-level design requirements, including robotic systems. A variety of sensor and actuation types are introduced, from both a practical and a mathematical perspective. Embedded microprocessor applications are developed using the C programming language. A final project is required including analysis, design, and experimental demonstration.
Advanced Continuum Mechanics 3 Presents fundamental concepts in hyperelasticity, damage mechanics, linear viscoelasticity, quasi-linear viscoelasticity, poroelasticity, continuum jump conditions, plasticity, and viscoplasticity. These theories are applied to describe the mechanical behavior of a wide range of engineering materials and biomaterials such as polymers, metals, soil, collagen, muscle tissue, bone tissue, and cartilage.
General studies
subjects
semester
units
course
description
Concept Paper 2 Ethical issues in research are studied and the Learner evaluates the research plan developed in modules RSH8951-RSH8953 against accepted ethical principles and practices in the field. The material developed in the modules is integrated into a summarizing document called the Dissertation Research Proposal. The proposal is comprised of Chapter I (Introduction), Chapter II (Literature Review), and Chapter III (Methodology). The Learner develops the Dissertation Research Proposal under the supervision of the faculty mentor, with a focus on the conceptual and methodological clarity of the research plan for the Learner’s dissertation topic. Once acceptable to the Learner and the faculty mentor, the draft of the Research Proposal is reviewed by the Learner’s Dissertation Committee and the University’s Ethics Committee. Satisfactory/Unsatisfactory grade only.
Doctoral Comprehensive Examination 2 Assures that the Learner has mastered knowledge of his or her discipline, specialization, and can demonstrate applications of that knowledge before formal candidacy status is granted and research in support of the dissertation is initiated. Satisfactory/Unsatisfactory grade only.
Doctoral Dissertation Research l 2 Continuation of RSH8954-P. The draft of the Dissertation Research Proposal is finalized and approved by the Learner’s Dissertation Committee and the University’s Ethics Committee. All steps necessary to begin data collection, including any necessary pilot testing, are completed. Candidates for the Ph.D. must maintain continuous enrollment. Satisfactory/Unsatisfactory grade only.
Doctoral Dissertation Research ll 2 Dissertation data are collected and analyzed. Candidates for the Ph.D. must maintain continuous enrollment. Satisfactory/Unsatisfactory grade only.
Doctoral Dissertation Research lll 2 the dissertation process is completed. The manuscript is prepared, accepted by the Learner’s Dissertation Committee, and the oral defense is conducted. Candidates for the Ph.D. must maintain continuous enrollment.