Lecture 12 Flashcards
What are some key goals of modern manufacturing?
To meet design requirements, ensure product quality, minimize waste, optimize resources, implement eco-friendly methods, and maintain flexibility for market changes.
What is Industry 4.0?
Industry 4.0 refers to the automation of manufacturing using smart technologies such as cloud computing, big data, IoT, AI, and robotics.
What are the four Industrial Revolutions?
- Mechanization (Industry 1.0), 2. Electrification and mass production (Industry 2.0), 3. Digital Revolution (Industry 3.0), 4. Smart technologies and automation (Industry 4.0).
How does Industry 4.0 integrate traditional manufacturing with modern technologies?
By connecting product design, testing, manufacturing planning, quality control, and market analysis with cloud computing, big data, AI, IoT, and robotics.
What technologies enable Industry 4.0?
Cloud computing, big data analytics, IoT, AI, augmented reality, robotics, and automation.
What are the main building blocks of Industry 4.0?
Big data, cloud computing, cyber-security, programming, autonomous robots, simulation, IoT, and ML/AI.
What are some types of prototyping used in Industry 4.0?
Rapid prototyping (3D printing), virtual prototyping, and simulation-based design.
What is generative modeling?
Generative modeling is an AI-driven approach to designing 3D models by setting constraints, allowing AI to generate various design options.
What are net-shape and near-net-shape manufacturing?
Manufacturing processes where a part is made in one operation to final dimensions, tolerances, and finish, reducing the need for additional processing.
What materials are commonly used in Industry 4.0 manufacturing?
Ferrous and nonferrous metals, plastics, ceramics, composites, nanomaterials, and biodegradable materials.
What is lean manufacturing?
A manufacturing system focused on reducing waste (waiting time, inventory, defects) without sacrificing customer value.
What is green manufacturing?
An environmentally conscious approach that minimizes adverse environmental impacts and promotes cradle-to-cradle production.
What are some challenges in Industry 4.0?
Large-scale data storage and analysis, real-time process monitoring, collaboration, data sharing, and automated quality control.
What are the benefits of cloud computing in Industry 4.0?
Reliability, cost efficiency, scalability, backup and recovery, accessibility, security, and independence from physical location.
What is predictive maintenance (PM) in Industry 4.0?
A method that uses IoT, big data, and AI to monitor machinery health in real-time and predict issues before they cause failures.
What is a digital twin (DT)?
A virtual model that mirrors a manufacturing process in real time, providing insights, troubleshooting, and simulation capabilities.
What is big data, and why is it important in Industry 4.0?
Big data involves handling massive datasets that are too complex for traditional tools, enabling advanced insights and predictive analytics in manufacturing.
What are the five V’s of big data?
Volume, velocity, variety, veracity, and value.
What is the Extract, Transform, Load (ETL) process?
ETL is a process that extracts raw data, transforms it for analysis, and loads it into a repository for storage or further processing.
What is a data lake in Industry 4.0?
A centralized repository that stores raw manufacturing data, enabling analytics, visualization, and machine learning applications.
How do cloud-based CAD and CAM systems support Industry 4.0?
They facilitate real-time collaboration, centralized data access, and seamless workflow integration from design to production.
What are the key focuses of modern manufacturing according to Industry 4.0?
Automation, flexibility, sustainability, waste reduction, and minimizing environmental impact.
