The course introduces Gain industry-relevant expertise in modern digital manufacturing technologies, including automation, smart factories, Industrial IoT (IIoT), data analytics, and digital twins. This programme equips learners with the knowledge and practical skills needed to improve manufacturing efficiency, productivity, and innovation in the era of Industry 4.0
He is a Professor and Chair of the Department of Design and Manufacturing at the Indian Institute of Science (IISc), Bengaluru. His research spans engineering design, smart manufacturing, AI-driven design, sustainability, and product innovation. He has played a pioneering role in advancing design research in India, founded the IDeaS Lab, and has led several nationally and internationally recognized research and industry collaborations.
Industry 4.0 ; Industrial revolutions and the characteristics of Industry 4.0 Reference Frameworks for I4.0 ; Maturity Models for I4.0 ; Key standards; Digitalisation of products; Digitalisation of processes; Introduction to Robotics; Introduction to Robotics cont..Introduction to OLP and SimulationDK; Introduction - Sensors Actuators; Intro. to signal transduction & analogue signal conditioning Introduction to digital circuit and analogue to digital conversion; Embedded communication protocols Microcontrollers and embedded system Key aspects of analogue, digital & mixed-signal system designs; EDA / ECAD and Electronics manufacturing: KiCad & gEDA Machine vision and electronic inspection Demonstrations related to mechatronic systems
Intelligent agents, Agent-Based Modeling, and their applications; Text Analysis, Latent Semantic Analysis and related concepts and applications; Algorithmic and Generative Design Approaches and their applications, biomimicry in computation in the context of ANN and GA
Artificial Intelligence, State Space Search, Bayesian Inferencing, Markov Decision Process, Machine Learning and data analytics, Supervised, Semi-Supervised and Reinforcement Learning, Artificial Neural Network
Clustering and Cluster Validation, Statistical Machine Learning, Deep Learning, Person, Posture & Object detection using deep learning, Intelligent Agents, Multi-agent systems and agent-based modeling, AI and ML in solution generation and synthesis
RFID + Demos (Arete-pop, Glucose monitoring) and LDO nLDO, DC-DC, ADC
ADC Demos - 1. Polling method, 2. Interrupt method, 3. Selecting suitable baudrate, Protocols nDemo of Protocols Thingspeak demo
PLC working + ST programming - pressure sensor + Predictive maintenance nDigital twin construction
Industry 4.0 Fundamentals nIndustry 4.0 Fundamentals nIndustry 4.0 Fundamentals nIOT and Digital Twin nIOT and Digital Twin nDigital Manufacturing nDigital Manufacturing nElectronics and Mechatronics nElectronics and Mechatronics nElectronics and Mechatronics
Basics of Computer Vision nObject Detection and Augmented Rendering nImmersive Environment Development
IoT and Deep Learning integration with AR/VR nRelevance of ontologies and semiotics in AR/ VR/ MR
Haptics nAR/VR/MR in relation to Computer Aided Design and Product Lifecycle Management
What is additive manufacturing? Introduction to layer-by-layer paradigms, basic estimates for cost and production time nPolymer additive manufacturing: thermoplastics vs. thermosets, strategies for solidification, SLA/FDM configurations, design considerations nMetal additive manufacturing I: Powders, their production, properties and evaluation nMetal additive manufacturing II: Basic process estimates, heat conduction and temperature rise, thermal effects nMetal additive manufacturing III: Machine configurations & design: Powder-bed, powder feed and wire feed. Mechanics, physics and final feasibility studies.
Metallurgy of additively manufactured materials: Basic-structure property correlation, microstructure and its effects, introduction to phase diagrams, phase transformations, basics of heat treatment. nPost-processing of additively manufactured parts: Heat treatment optimization, Hot isostatic pressing, surface treatments.
Laser beam melting (LBM) process - Operating principle and process chain of Direct Metal Laser Sintering (DMLS). Laser exposure parameters and managing the part quality and productivity. Support structure generation. Scanning strategies for mitigating residual stresses. Calibration of the mechanical and optical systems. nOperating principle and process chain of selective laser melting (SEBM). Support structure generation. Scanning strategies for mitigating residual stresses in SEBM. Calibration of the mechanical and electron beam systems. Laser and electron beam DED process physics. Binder jetting Additive basics and binder and metal interaction. Residual stresses generation mechanism in AM process, Process physics simulation software case studies. nAdditive Manufacturing Machine design: Energy source characteristics and design, tool path software and design, feed stock delivery system design, process chamber design. nAM Process chain: Part preparation, build predictability, part building and Post processing nAdditive manufacturing data formats. File transfer interfaces. Data conversion errors and corrections. Fixing up the errors in CAD files / formats with reference to design intent. (Parasolid / IGES/STEP formats). Best practices of machining allowance and file conversion. Handling of data corresponding to: Lattice structures; CT Scan / DICOM data. Software tools for slicing and visualisation. Basic functionalities and buildability of Metal AM process simulation. Best practices in part orientation, support generation and part positioning. Relevant examples from aeronautical, automotive, defence, space, oil and gas sectors. Meeting surface quality and dimensional accuracy requirements through post processing. nAM Powder characterization: Application of ONH, tap density measurement, sieve analysis and particle size distribution. Chemical composition analysis. Reuse aspects of powder nAM Quality, proveout and Certification: Evaluation of part size, strength and microstructure. Material handling and safety measures. Standard work instructions Introduction to relevant ASTM and ISO/AS standards.
Mechanical behavior of additively manufactured materials. nCase studies: Additive manufacturing of Ti-alloys, Ni-base alloys, stainless steels, issues with advanced materials Other critical issues, Concluding remarks.
Introduction to Cybersecurity and Industrial Cybersecurity; Introduction to Computer nSystems; A Framework for Understanding Security Issues in Distributed Systems; Cryptographic nFunctions – One-way and one-one functions – to realize security services.
Malware – Examples, Attack Mechanisms, Propagation Mechanisms, and Functions nMultilayer approach to defence against malware
Industrial Cybersecurity; Security Issues in Digital Manufacturing nAR/VR/MR/Haptics nAR/VR/MR/Haptics nRobotics and Autonomous Systems nAR/VR/MR/Haptics nDesign for Additive Manufacturing