This course is an exploratory in nature, it is also designed to cause students to learn and express creativity and ingenuity within the mechanical engineering frame. Students are to be given orientation for the modern day mechanical engineering design concept and practices. Initiation into the multidisciplinary demands and mindset associated with mechanical engineering design is to be provided. The course also exposes the students to the concepts employed in the design of the basic machine elements, as well as other issues relating to product design and manufacturing operations.
This course is an exploratory in nature, it is also designed to cause students to learn and express creativity and ingenuity within the mechanical engineering frame. Students are to be given orientation for the causes and evaluation methods for mechanical vibrations.
Review of partial fractions, Complex numbers and Laplace transforms. Nature and use of automatic control. The concept and purpose of feedback. Description of simple systems in process control, positrion control and regulation. Mathematical models of control systems in differential equations. Block diagrams algebra and transfer function. Pole-zero diagrams and system stability. Transient response characteristics. Routh Hurwitz stability criterion. Root locus diagram and system stability. Frequency response diagram and Nyquist plot. Gain and phase margins, contours of closed-loop modulus. Bode diagram. Nichol chart. Control algoriths. Compensation of control systems. Analogue and digital control systems. Use of control system design work benches.
This course deals majorly with linear optimisation techniques. This is a course covering the linear quantitative management tools which are applicable in management of industries. This is primarily designed for mechanical engineering students to expand their knowledge in the areas of industrial engineering and management. In the course, students will be taught how linear programming can be formulated, solved using standard methods (simplex algorithms, primal and dual), and how the optimal solution can be interpreted. The course will impart useful management skills of providing solution to transportation/transhipment problems using established algorithms (shortest path, maximum flow, etc.). The students will be taught on how the network analysis can be applied to project planning and control. The subject matter will be extended for students to be able to have real-life application of conventional project planning algorithms (Critical Path Method (CPM) and Program Evaluation and Review Technique (PERT) to industrial project development. Students will be taught how to make appropriate engineering decisions in the areas of resources (material, manpower, and machinery) planning and management using operations research tools/algorithms (dynamic programming, integer programming, game theory, etc.). Hands-on training of students in the areas of application of computer software in solving many of the stated algorithms will be carried out. Topics to be covered include linear programming-formulation, simplex method: simplex algorithm for solving linear programming problems-primal and duality, interpreting optimal solution. Concept of duality. Transportation/transhipment problem: shortest path, minimum flow, minimum spanning tree, minimum cost network flow, sensitivity analysis. Network analysis: shortest route problem. Minimum/maximum flow problem. CPM and PERT with application to project planning and control. Dynamic programming; deterministic and stochastic: shortest path, knaspsack, job planning, and production management; Game theory; and Integer programming using branch and bound technique. Applications of operation research software packages.
This course is exploratory in nature, it is also designed to cause students to learn and express creativity and ingenuity within the mechanical engineering frame. Students are to be given orientation for the computer and digital system.
This course is mandatory for students in Mechanical Engineering and allied disciplines. It is the study of energy / work and gives a thorough understanding of the working operation of HVAC systems, automotive engines, boilers renewable energy technology and the need for clean energy. This course will focus on fuels and combustion: Combustion stoichiometry, air/fuel ratio, gas composition, excess air, formation of exhaust gases, dew point of flue gas, Boiler control, enthalpy changes and combustion efficiency and various applications. It will also discuss and apply thermodynamic engine cycles: Air standard analysis, the simple gas turbine cycle, the Otto cycle, diesel and dual cycles, Refrigeration and Heat pump cycles to practical situations (power plants, refrigerators and control rooms). Renewable energy conversion and utilization will be discussed. The effect of global warming, pollution and carbon credit initiatives will be studied.