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M.Tech. Mechanical Engineering with Specialization in Production Technology

program-details

School of Engineering and Technology, CT University offers 2 years Master of Technology in Mechanical Engineering Programme. In this program, students receive an in-depth education on Production engineering at a professional level. Designing and installation of integrated systems for equipment, human and materials, and processes are an important aspect of this program in order to increase the productivity of goods and students additionally get hands-on experience with latest technology and materials used in this field.This program offers a wide range of job opportunities like Plant engineer, Quality engineer, Industrial Manager, Process engineer, Operation analyst etc.

eligibility criteria

B.E/B.Tech (CSE/IT/ECE) or MCA or M.Sc. (IT/ Computer Science) from a recognized university with atleast 50% marks

Admission criteria

Merit in CT-SET, subject to fulfilling eligibility criteria.

Duration

2 Years

Curriculum

1ST SEMESTER SUBJECTS

Covers the principles of metal cutting and forming processes, including cutting mechanics, tool materials, tool life, machining parameters, and metal forming techniques for efficient manufacturing of engineering components.
Course Outcome:
CO1: Understand and apply the principles of mechanics to metal cutting process and develop analytical relation between input and output process parameters.
CO2: Understand, analyze and apply the concept of shear deformation of materials in metal cutting.
CO3: Apply theoretical and experimental techniques for measurement of important outcomes of metal cutting process like cutting forces, tool tip temperature
CO4: Understand and analyze the concept of yield criteria applicable to different material deformation processes
CO5: Understand the different lubrication mechanisms, lubricants and other valuable effects of the metal forming processes under different working conditions

Explores advanced engineering materials, including composites, ceramics, polymers, smart materials, and advanced alloys, with emphasis on their properties, processing, selection, and applications in modern engineering systems.
Course Outcome:
CO1: Gain a comprehensive knowledge of the advanced properties and characteristics of engineering materials, including their mechanical, thermal, and electrical behaviors.
CO2: Develop the ability to critically evaluate and select appropriate advanced materials for specific engineering applications based on performance requirements and constraints.
CO3: Understand the principles of microstructural design and processing techniques to tailor advanced materials for enhanced performance and reliability.
CO4: Analyze the environmental and economic impacts of advanced engineering materials, fostering a sustainable approach to materials selection and usage.
CO5: Acquire problem-solving skills to address complex engineering challenges related to advanced materials, promoting innovation and advancement in various industries.

Develops systematic approaches to engineering research, covering research design, literature review, experimental methods, data analysis, technical writing, and research ethics for effective investigation of engineering problems.
Course Outcome:
CO1: Identify and discuss the complex issues inherent in selecting a research problem, selecting an appropriate research design
CO2: Discuss different methodologies and techniques used in research work
CO3: Explain basic computer skills necessary for the conduct of research
CO4: Assess the basic function and working of analytical instruments used in research
CO5: Propose the required numerical skills necessary to carry out research

Examines advanced welding processes, principles, equipment, weldability, defects, inspection, and process parameters, enabling students to select and apply suitable welding techniques for engineering applications.
Course Outcome:
CO1: Understand classification, weldability, and metallurgical aspects of fusion welding.
CO2: Analyze welding arc characteristics and electrode coatings.
CO3: Compare fusion welding processes and evaluate their applications.
CO4: Study power sources and metal transfer mechanisms in welding.
CO5: Understand resistance, radiation, and solid-state welding techniques.

Develops practical skills in welding processes through hands-on experimentation, enabling students to understand welding parameters, prepare joints, evaluate weld quality, and identify common welding defects.
Course Outcome:
CO1: Understand and analyze the microstructural changes in weld zones using metallography.
CO2: Measure and evaluate arc characteristics and efficiency in different welding processes.
CO3: Analyze the effect of electrode coatings and welding parameters on weld quality.
CO4: Perform and interpret various fusion and resistance welding techniques.
CO5: Identify advanced welding methods and assess their applicability and performance.

Initiates the research process through problem identification, literature review, formulation of objectives, research methodology, and preliminary investigation, establishing a foundation for advanced research work.
Course Outcome:
CO1: Identify and define a research problem in mechanical engineering.
CO2: Review relevant literature and formulate research objectives.
CO3: Apply appropriate methods to investigate the research problem.
CO4: Analyze and interpret research findings.
CO5: Present and document the research work effectively.

2ND SEMESTER SUBJECTS

Covers the principles and advanced practices of metal casting, including pattern design, moulding, melting, solidification, casting defects, and process selection for the production of quality cast components.
Course Outcome:
CO1: Understand and apply the principles of metal casting processes and develop analytical relation between input and output process parameters.
CO2: Understand, analyze and apply the concept of cooling rate of materials in metal casting.
CO3: Apply theoretical and experimental techniques for measurement of important outcomes of casting processes like hardness, dimensional accuracy etc.
CO4: Understand the model of casting economics and optimization and its measurement.
CO5: Apply the fundamentals of physics to develop theoretical relations for different types of casting processes.

Provides practical experience in casting operations, including pattern making, mould preparation, melting, pouring, and inspection, enabling students to understand process parameters and evaluate casting quality.
Course Outcome:
CO1: Produce accurate patterns and moulds suitable for casting.
CO2: Prepare and optimize moulding sand for various casting processes.
CO3: Design and implement gating and riser systems to minimize casting defects.
CO4: Analyze casting defects and recommend effective solutions.
CO5: Conduct inspection and testing to ensure casting quality and reliability.

Examines friction, wear, and lubrication phenomena in industrial systems, with emphasis on tribological mechanisms, lubricant selection, wear prevention, and techniques for improving the reliability and efficiency of machinery.
Course Outcome:
CO1: Understand the mechanism of friction, wear and lubrication and can develop analytical relation between the variables.
CO2: Understand the concept of types of wear and their measurement under different environments.
CO3: Understand the laws and mechanism of sliding and rolling friction and their measurements.
CO4: Understand the mechanism of lubrication, their performance w.r.t. different variables. Role of lubricants and their applications
CO5: Apply these mechanisms of tribology in the design of different types of bearings considering various input and output parameters.

Advances the research work initiated in the first semester through detailed investigation, experimentation or analysis, interpretation of results, and documentation of findings in preparation for the dissertation.
Course Outcome:
CO1: Identify and define a research problem in mechanical engineering.
CO2: Review relevant literature and formulate research objectives.
CO3: Apply appropriate methods to investigate the research problem.
CO4: Analyze and interpret research findings.
CO5: Present and document the research work effectively.

This course introduces advanced and non-traditional machining processes used for machining difficult-to-cut materials and complex geometries. It covers the principles, working mechanisms, process parameters, capabilities, advantages, limitations, and applications of electrical, thermal, chemical, electrochemical, and mechanical energy-based machining processes.
Course Outcome:
CO1: Understand evolution, classification, and need for nontraditional machining.
CO2: Understand principles, parameters, and material removal in mechanical energy-based processes.
CO3: Understand principles, parameters, and material removal in thermal and electro-thermal processes.
CO4: Analyze modeling, selection, and performance of thermal and electro-thermal processes.
CO5: Know recent developments in hybrid nontraditional machining applications.

This course provides an understanding of the principles and techniques of planning, scheduling, routing, loading, dispatching, and controlling production activities. It covers production systems, forecasting, inventory control, capacity planning, material requirements planning, and modern approaches to effective production management.
Course Outcome:
CO1: Describe and analyze distinct concepts within production planning.
CO2: To plan and control the physical flow of information and products in the production companies.
CO3: Schedule production by using different techniques and evaluate different capacity alternatives/strategies to meet the customer demand.
CO4: Know about inventory control techniques and other concepts of JIT.
CO5: Know about inventory control techniques and other concepts of value engineering

This course deals with the principles and methodology of designing machine tools to achieve required accuracy, rigidity, stability, power transmission, and productivity. It covers machine tool structures, drives, spindle systems, guideways, bearings, selection of materials, and design considerations for modern machine tools.
Course Outcome:
CO1: Understand the concept of machine tool design.
CO2: Understand the concept of mechanism of stepped and step-less drives.
CO3: Understand the laws of spindle, bed, column and guide/slide ways design.
CO4: Understand the mechanism of adaptive control and man machine system in machine tool design.
CO5: Apply these principles in the design of different types of kinematic structures.

This course focuses on advanced manufacturing operations and control techniques used in modern production systems. It covers computer-based process control, automated manufacturing, CNC systems, flexible manufacturing, robotics, process monitoring, and advanced control strategies for improving productivity, quality, and operational efficiency.
Course Outcome:
CO1: Apply linear programming and related models to solve industrial problems.
CO2: Formulate and solve dynamic and non-linear optimization problems.
CO3: Model queuing and simulation systems for production planning.
CO4: Use heuristic methods for complex industrial optimization.
CO5: Understand and apply classical and non-linear optimization techniques.

This course develops an understanding of the planning, organization, and management of production systems. It covers production strategies, facility planning, resource management, quality management, productivity improvement, lean manufacturing, supply chain concepts, and contemporary approaches to managing manufacturing operations.
Course Outcome:
CO1: Gaining knowledge about managing production processes.
CO2: Analyze how to run operations effectively.
CO3: Better understanding of modern production techniques.
CO4: Better understanding of quality management.
CO5: Management skills needed for the effective operations management.

This course introduces the concepts and techniques of modelling and simulation for analysing industrial and manufacturing systems. It covers system modelling, discrete-event simulation, input data analysis, performance evaluation, experimentation, and simulation-based decision-making for improving productivity and resource utilization.
Course Outcome:
CO1: Understand system modeling and basic simulation concepts.
CO2: Simulate continuous and discrete systems using random numbers.
CO3: Simulate and analyze queuing systems.
CO4: Simulate inventory systems and design simulation experiments.
CO5: Apply simulation to real-world problems and learn simulation languages.

3RD SEMESTER SUBJECTS

Integrates computer-based techniques for product design and manufacturing, covering CAD modeling, design analysis, process planning, and computer-aided manufacturing for efficient and advanced production systems.
Course Outcome:
CO1: Describe the role of computer system in design and manufacturing.
CO2: Understand geometric models, techniques geometric modelling.
CO3: Apply various transformations with underline mathematics (Matrices and determinants).
CO4: Describe the key concept of NC/CNC/DNC and part programming to establish FMS.
CO5: Conceptualize the integration of CAD/CAM and business aspects in an industry.

Develops practical proficiency in CAD and CAM through hands-on exercises involving 3D modeling, engineering drawings, design applications, process planning, and computer-aided manufacturing tools.
Course Outcome:
CO1: Understand the fundamentals of CAD/CAM systems, software tools, and their application in the design process.
CO2: Apply geometric transformations and modelling techniques using Bezier and B-spline curves in design tasks.
CO3: Develop 3D models of mechanical components using appropriate geometric modelling methods and tools.
CO4: Create manual and computer-assisted NC part programs using G & M codes and simulate machining operations.
CO5: Apply the concepts of Group Technology (GT), part coding, and Computer-Aided Process Planning (CAPP) for efficient manufacturing systems.

Examines modern techniques for condition monitoring, fault diagnosis, and predictive maintenance of industrial machinery, enabling students to assess equipment health and improve reliability and operational efficiency.
Course Outcome:
CO1: Understand and apply the principles of diagnostic techniques for planning of maintenance activities.
CO2: Understand, analyze and apply the concept of replacement analysis in plant maintenance
CO3: Apply theoretical and experimental techniques for the measurement of maintenance efforts in the industrial environment.
CO4: Understand the model of maintenance and their applications in field environment.
CO5: Evaluate and recommend maintenance strategies to optimize equipment reliability and minimize downtime in various industrial sectors.

Focuses on systematic literature review and identification of research gaps related to the selected dissertation topic, establishing the research objectives, scope, methodology, and theoretical foundation for further investigation.
Course Outcome:
CO1: Identify a suitable research problem and objectives.
CO2: Conduct a systematic literature survey using relevant sources.
CO3: Analyze and summarize existing research findings.
CO4: Identify research gaps and formulate the proposed methodology.
CO5: Prepare and present a comprehensive literature survey report.

This course integrates mechanical, electrical, electronics, control, and computer technologies for the development of intelligent engineering systems. It covers sensors and actuators, microcontrollers, PLCs, control systems, robotics, automation, and applications of mechatronics in modern manufacturing.
Course Outcome:
CO1: Install, troubleshoot, maintain and repair mechatronic systems using industry-standard tools, practices, and procedures.
CO2: Each individual should develop competence in technologies of automation
CO3: Capable to develop simple control systems and study the system response
CO4: Individual should be able to understand the communication system in automation
CO5: Integrate sensors, controllers, and microprocessors in automation systems.

This course provides knowledge of measurement principles, standards, instruments, and techniques used for dimensional and geometrical inspection. It covers limits, fits and tolerances, surface measurement, precision instruments, gauge design, coordinate measuring machines, and modern inspection methods for quality assurance.
Course Outcome:
CO1: Understand the methods of measurement and selection of measuring instruments , standards of measurement.
CO2: Identify and apply various measuring instruments.
CO3: Explain tolerance, limits of size, fits, geometric and position tolerances and gauge design.
CO4: Recommend the Quality Control Techniques and Statistical Tools appropriately.
CO5: Develop an ability of problem solving and decision making by identifying and analyzing the cause for variation and recommend suitable corrective actions for quality improvement.

This course introduces computer-based techniques for planning and optimizing manufacturing processes. It covers process planning concepts, process selection, machining parameters, tooling and machine selection, Group Technology, variant and generative process planning, and integration with CAD/CAM systems.
Course Outcome:
CO1: Understand & explain the difference between traditional and computer aided process planning.
CO2: Apply group technology wherever required.
CO3: Elaborate production systems at operation and plant level.
CO4: Explain different aspects of automated process planning.
CO5: Analyze and evaluate generative process planning techniques and their applications in modern manufacturing.

This course focuses on systematic approaches to designing and developing products that meet functional, manufacturing, economic, and customer requirements. It covers product design methodologies, concept generation, material selection, design for manufacturing and assembly, prototyping, testing, and product development strategies.
Course Outcome:
CO1: Understand the need and concept of product design and development in industry.
CO2: Demonstrate the use of ergonomics and concepts of visual design in designing and developing the product in an industry or for research work.
CO3: Implement the use of materials, forms, function, color relationships and packaging materials in product graphics, product development and testing during actual production system.
CO4: Use the knowledge of value engineering, its techniques and value control while designing and developing product in an industrial environment or for research work.
CO5: Apply concurrent engineering principles and utilize modern product design tools such as CAD, CAM, and rapid prototyping to enhance product development efficiency.

This course deals with the principles and methods of designing cutting tools for efficient and accurate machining operations. It covers tool geometry, tool materials, tool life, cutting forces, tool wear, tool strength, tool failure, and the design of single-point, multi-point, and special cutting tools.
Course Outcome:
CO1: Understand the concept of machine tool design.
CO2: Understand the concept of mechanism of stepped and step-less drives.
CO3: Understand the laws of spindle, bed, column and guide/slide ways design.
CO4: Understand the mechanism of adaptive control and man machine system in machine tool design.
CO5: Apply these principles in the design of different types of kinematic structures.

This course develops knowledge of the design principles and applications of jigs, fixtures, and dies used in manufacturing. It covers locating and clamping principles, design considerations, drilling and milling jigs, work-holding fixtures, press tools, dies, and their applications for improving accuracy, productivity, and interchangeability.
Course Outcome:
CO1: List and use the general principles involved in jigs fixtures and die design.
CO2: Demonstrate the application of basic principles concerning the design of general jigs and fixtures, as well as dies and punches for manufacturing processes.
CO3: Apply the basic principles in designing universal and transfer lines jigs and fixtures for various manufacturing processes.
CO4: Assess the performance of a given tool design for meeting the specific design criteria.
CO5: Evaluate the economic and operational impact of jigs, fixtures, and die designs on manufacturing productivity and quality.

4TH SEMESTER SUBJECTS

Enables students to undertake comprehensive independent research involving problem formulation, methodology, experimentation or analysis, interpretation of results, and technical documentation to demonstrate advanced research and problem-solving capabilities.
Course Outcome:
CO1: Formulate and investigate a relevant research problem.
CO2: Apply appropriate methods to conduct the research work.
CO3: Analyze and interpret the research results.
CO4: Develop suitable solutions based on the research findings.
CO5: Document and present the dissertation work effectively.

fees

Details

Amount

Programme Fees (per Semester)

60000

Examination Fees

3000

International Fees (per Year)

$5300

Fee Slab

Slab >=60% - 74.99% >=75% - 89.99% >=90% & Above
Fee ₹55000 ₹50000 ₹45000

Students can avail these slots depending on the marks they have scored. Each slot reflects a different academic range, helping students understand where they stand and what benefits they qualify for.

Programme Outcomes

  • An ability to independently carry out research /investigation and development work to solve practical problems related to Production Engineering
  • Design and validate technological solutions to defined problems and write clearly and effectively for the practical utilization of their work.
  • Acquire fundamental knowledge and understanding of Production and Industrial Engineering.
  • Acquire abilities and capabilities in the areas of advanced manufacturing methods, quality assurance and shop floor management..
  • The ability to apply creativity in designing manufacturing systems, components and processes.
  • Meaningful industrial exposure in the area of Production department.
  • Formulate relevant research problems; conduct experimental and/or analytical work and analyzing results using modern mathematical and scientific methods
  • Environment and sustainability: Apply Mechanical engineering solutions also for sustainable development practices in societal and environmental contexts.
  • Ethics: Apply ethical principles for commitment to professional ethics, responsibilities and norms of the practice also in the field of production engineering.
  • Engineering Knowledge - Apply mathematics, science, engineering fundamentals, and specialized knowledge to solve complex engineering problems.

Programme Specific Outcomes

  • Demonstrate the ability to Formulate and Solve Production Related Problems by applying Fundamental Principles
  • Demonstrate ability to Design and Conduct Experiments, Interpret and Analyzes Data and Report Results.
  • Demonstrate ability to Design and Develop a Process.
  • Capability of building efficient energy conversion systems using basic understanding of Thermodynamics, refrigeration and Fluid Mechanics.
  • Use latest Mechanical engineering related software for simple design, drafting, manufacturing, maintenance and documentation of production engineering components and processes.

Salient Features

  • To impart knowledge to students in the latest technological topics on Production and Industrial Engineering and to provide them with opportunities in taking up advanced topics of the field of study.
  • To create a congenial environment that promotes learning, growth and imparts ability to work with inter-disciplinary groups in professional, industry and research organizations.
  • To broaden and deepen their capabilities in analytical and experimental research methods, analysis of data, and drawing relevant conclusions for scholarly writing and presentation.
  • To broaden and deepen their capabilities in analytical and experimental research methods, analysis of data, and drawing relevant conclusions for scholarly writing and presentation.
  • Create Awareness of Societal Impact and Professional Ethics.

Infrastructure