Modelling Analysis And Optimization Of Industrial Processes: Fill & Download for Free

Mechanical engineering is all about four major groups/areas like:i) Manufacturing engineering,ii) Thermal engineering,iii) Design engineering,iv) Industrial engineering/Management.We can find quite a number of fields in mechanical engineering. The following are some of them:[1] Additive Manufacturing,[2] Automation,[3] Advanced Manufacturing Technology using CAD/CAM/CIM,[4] Composite Materials,[5] Green Manufacturing,[6] Manufacturing Optimization,[7] Mechatronics,[8] Nano-Materials and Manufacturing,[9] Project Management,[10] Renewable Energy,[11] Robotics,[12] Smart Materials,[13] Mechanical Design and Manufacturing,[14] Sustainability and Energy Conservation,[15] Mechanics materials for Technology,[16] Optimization Techniques,[17] Wind, Wave Hybrid Energy System,[18] Solar Power and Biotechnology,[19] Industrial Materials and Processes,[20] Maintenance Engineering,[21] Manufacturing Planning and Management,[22] Modelling,Analysis, and Simulation of Manufacturing Processes,Source of picture: Google Images.

By the name it can be understood that Industry 4.0 is the fourth industrial revolution which is an ongoing transformation in the industrial sector. To understand the difference between the I 3.0 and I 4.0 it is essential to understand what changes were introduced in each of the revolutions which the Industry underwent previously:Industry 1.0: Industry 1.0 refers to the mechanization of work which our ancestors used to perform manually. Thus, it was after the introduction of steam which made the mechanization of work possible. E.g. Weaving Loom etc.Industry 2.0: Industry 2.0 is the transformation which was brought about by the introduction of electricity in the various processes. This made the use of assembly lines possible. The first electric assembly line was built in 1870.Industry 3.0: Now industry 3.0 was a huge leap ahead wherein the advent of computer and automation ruled the industrial scene. It was during this period of transformation era where more and more robots were used in to the processes to perform the tasks which were performed by humans. E.g. Use of Programmable Logic Controllers, Robots etc.Industry 4.0: The fourth era of industry is the era of Cyber Physical Systems (CPS). CPS comprises of smart machines, storage systems and production facilities capable of autonomously exchange information, triggering actions and control each other independently. This exchange of information is done by the Industrial Internet of things (IIOT) in which thousands of sensors work real time and transfer the data to a local server or a cloud server. Here the analysis of the data is carried out by developing predictive models which help the organization to anticipate some irregularities in the processes or systems so that action can be taken well in advance, as opposed to taking action when the process or system is broken down. This is call Predictive Maintenance, taking the required actions in advance is made possible help of the data which is captured by the sensors.This data is very huge and termed as Big Data. The data analysis helps the industries not only to maintain the processes but also to improve manufacturing processes, material usage, supply chain and life cycle management of the product.Difference between I3 and I4: To put in simple words the basic difference being that the machines work autonomously without the intervention of a human in Industry 4.0. Whereas in the industry 3.0 the machines are only automatized. For example: Consider a CNC Milling machine, if the machine is in the era of Industry 3.0, the tool changes can be done automatically but the speed at which the spindle should run is to be observed by the operator and the corrections should be made by him. Similarly if the machine is in the Industrie 4.0 the tool changes are automatic at the same time the spindle speeds and all other parameters essential to carry out the process are recorded by the hundreds of sensors present in the machine and the optimum settings are done on its own based on the large amount of data there is to compare and optimize the process.HOPE THIS ANSWERS THE QUESTION.

Thanks for A2A. As the curriculum document is not on the official website. Hence I cannot share the document itself. But I will list out the courses FYI. Hope this helps.Note: This list is neither constant nor exhaustive and can be altered in the future.Core CSChemistry (includes a Lab course)Mathematics - 1Programming - 1Physical Education - 1EnglishEconomicsMathematics - 2Digital DesignData Structures And Algorithms (includes a Lab course)Computer NetworksHistory of IdeasPhysical Education - 2Mathematics - 3Computer Architecture (includes a Lab course)Programming - 2Physics - 1 (includes a Lab course)Discrete MathematicsMathematics - 4Signals and SystemsPhysics - 2 (includes a Lab course)Design and Analysis of AlgorithmsTechnical CommunicationFormal Languages and Automata TheorySoftware Engineering (includes a Lab course)Operating Systems (includes a Lab course)Computer GraphicsDatabase Systems (includes a Lab course)Programming LanguagesCore ECEChemistry (includes a Lab course)Mathematics - 1Programming - 1Physical Education - 1EnglishEconomicsMathematics - 2Digital DesignData Structures And Algorithms (includes a Lab course)Computer NetworksHistory of IdeasPhysical Education - 2Mathematics - 3Computer Architecture (includes a Lab course)Programming - 2Physics - 1 (includes a Lab course)Basic ElectronicsElectronics LabMathematics - 4Signals and SystemsPhysics - 2 (includes a Lab course)Electronic Devices & Circuit Theory (includes a Lab course)Technical CommunicationPrinciples of Communication Systems (includes a Lab course)Analog CMOS Design (includes a Lab course)Operating Systems (includes a Lab course)Microprocessors and Microcontrollers (includes a Lab course)Signal ProcessingControl TheoryDigital Communication (includes a Lab course)EMT/Antenna TheoryElectives ITCOMPUTER SCIENCEAdvanced AlgorithmsCryptographyArtificial IntelligenceInformation NetworksGraph Theory and ApplicationsReal-time SystemsComputer ArchitectureInformation Theory and CodingAdvanced Operating SystemsDistributed ComputingAutomated Formal VerificationMulti Agent SystemsMachine LearningLogic in Computer ScienceDiscrete Event Systems Modeling and SimulationDesign and Analysis of Safety-Critical SystemsQuantum ComputingDATA SCIENCEAdvanced AlgorithmsData ModelingWeb Information RetrievalInformation NetworksGraph Theory and ApplicationsAdvanced Database Management SystemsDistributed ComputingGeographic Information SystemsMulti Agent SystemsConceptual Modeling and Knowledge RepresentationMachine LearningData AnalyticsSemantic WebSOFTWARE ENGINEERINGOOAD, UML and Introduction to Web 20Software TestingData ModelingFundamentals of Performance and Reliable IT InfrastructuresDesign Patterns and Enterprise System DevelopmentAutomated Formal VerificationDesign and Analysis of Safety-Critical SystemsPerformance, Reliability Analysis and Optimization of Contemporary infrastructuresNETWORKING & COMMUNICATION and EMBEDDED SYSTEMSWireless Access NetworksWireless CommunicationDigital Signal ProcessingDesign and Fabrication principles of Digital ICDesign Techniques for CMOS Integrated CircuitsInformatics in Industrial Process AutomationReal-time SystemsComputer ArchitectureInformation Theory and CodingFundamentals of Performance and Reliable IT InfrastructuresMobile Computing with IMS ArchitectureWireless Sensor NetworksMechatronicsAdvanced Digital CommunicationReal-time Embedded Communications SystemsCommunication in Industrial Process AutomationDiscrete Event Systems Modeling and SimulationOPEN ELECTIVESDynamics of the Information Technology IndustryEconomic and Social Impacts of Information TechnologyIntellectual Property RightsIntroduction to Scientific ComputationElectives ESDTesting and Design For TestabilityHigh Level Synthesis and Optimization of Digital CircuitsLow Power CMOS VLSI DesignStatic Timing Analysis and Digital CircuitSemiconductor Device PhysicsIntroduction to Nano-Electronics and MEMS/NEMS devicesInter Device CommunicationsDigital Signal ProcessingReal Time Systems - Design, Analysis and VerificationCyber Physical SystemsComputational Perception Using Multimodal SensorsEmbedded Systems for HealthcareActuators, Sensors and RoboticsComputer VisionFunctional Verification of SoC DesignsMixed Signal DesignPrinciples of Intelligent SystemsMachine LearningModel Based Hardware-Software Co-Synthesis of Embedded SystemsPrinciples of Multimedia & Multimedia ArchitecturesEmbedded Software Verification and ValidationDesign and Analysis of Embedded Software SystemsWireless Sensor NetworksImage Signal ProcessingDeep Submicron Design TechniquesIntroduction to RF ElectronicsCircuit SimulationNOTE: The electives might vary according to what the professors offer every semester. They needed not be from this list or new elective can be added.Cheers!