Advanced Manufacturing and Smart Factories: Hands-On Mini Project Series
Design. Simulate. Predict. Your smart factory starts here.
About This Course
A 4-day, mentor-led virtual series where you program CNC machining, design robot cells, build a digital twin with IoT data, and train a predictive-maintenance model using Fusion 360, RoboDK, and Python/Jupyter—ending with four portfolio-ready mini projects.
Aim
Enable participants to build an end-to-end smart-factory pipeline—CNC, robotics, digital twins, and predictive maintenance—using Fusion 360, RoboDK, Python/Jupyter, and IoT tools, culminating in four portfolio-ready mini projects.
Workshop Objectives
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Map the end-to-end smart-factory workflow (CNC → Robotics → Twin → Analytics).
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Program & simulate CNC toolpaths in Fusion 360.
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Design & validate a robotic cell in RoboDK (reach, safety, cycle time).
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Build a basic digital twin with simulated IoT data and compute KPIs (OEE/throughput).
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Train and interpret a predictive-maintenance model in Python.
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Create a simple dashboard and package portfolio-ready artifacts.
Workshop Structure
📅 Day 1 – CNC Precision Machining Project
- Overview of CNC Machining in Smart Factories
- Introduction to G-Code Syntax and Workflow
- Setting up a simulation environment in Fusion 360
- Toolpath optimization and error correction techniques
- Live Demo: Programming a milling path for a precision part
- 🧩 Mini Project: CNC Precision Machining
📅 Day 2 – Robot Cell Design Project
- Basics of Industrial and Collaborative Robots (Cobots)
- Robotic cell design principles (layout, reach, safety zones)
- Introduction to RoboDK / Visual Components for simulation
- Live Demo: Building a robotic pick-and-place system
- 🧩 Mini Project: Robot Cell Design
📅 Day 3 – Digital Twin Simulation Project
- Introduction to Digital Twin Technology and Industry 4.0 Concepts
- Data integration with IoT sensors and SCADA interfaces
- Live Demo: Creating a virtual factory model and simulating live data inputs
- Visualizing production metrics through dashboards
- 🧩 Mini Project: Digital Twin Simulation
📅 Day 4 – Predictive Maintenance Analytics
- Basics of Predictive Maintenance and Industrial Data Analytics
- Overview of sensor data and machine logs
- Introduction to Python, Pandas, and Scikit-learn for analytics
- Live Demo: Building a simple ML model for CNC maintenance prediction
- 🧩 Mini Project: Predictive Maintenance Model
Who Should Enrol?
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UG/PG students in Mechanical, Manufacturing, Mechatronics, Industrial, EE, or CS.
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Early-career engineers/technicians in CNC, robotics, automation, or OT.
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Plant operations, maintenance & reliability engineers; production managers.
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Data/AI engineers (or aspirants) exploring Industry 4.0 use cases.
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Faculty/trainers and startup founders building smart-manufacturing solutions.
Important Dates
Registration Ends
11/05/2025
IST 4:30 PM
Workshop Dates
11/05/2025 – 11/08/2025
IST 5:30 PM
Workshop Outcomes
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Program CNC (G-code) and simulate in Fusion 360
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Design & validate a robotic cell in RoboDK
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Build a simple digital twin with IoT data sync
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Train a predictive-maintenance model in Python
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Create dashboards + four portfolio-ready artifacts
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Receive graded feedback and an e-certificate
Fee Structure
Student
₹2499 | $65
Ph.D. Scholar / Researcher
₹3499 | $75
Academician / Faculty
₹4499 | $85
Industry Professional
₹6499 | $105
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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