Lecture 12 Flashcards

1
Q

What are some key goals of modern manufacturing?

A

To meet design requirements, ensure product quality, minimize waste, optimize resources, implement eco-friendly methods, and maintain flexibility for market changes.

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2
Q

What is Industry 4.0?

A

Industry 4.0 refers to the automation of manufacturing using smart technologies such as cloud computing, big data, IoT, AI, and robotics.

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3
Q

What are the four Industrial Revolutions?

A
  1. 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).
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3
Q

How does Industry 4.0 integrate traditional manufacturing with modern technologies?

A

By connecting product design, testing, manufacturing planning, quality control, and market analysis with cloud computing, big data, AI, IoT, and robotics.

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4
Q

What technologies enable Industry 4.0?

A

Cloud computing, big data analytics, IoT, AI, augmented reality, robotics, and automation.

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4
Q

What are the main building blocks of Industry 4.0?

A

Big data, cloud computing, cyber-security, programming, autonomous robots, simulation, IoT, and ML/AI.

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5
Q

What are some types of prototyping used in Industry 4.0?

A

Rapid prototyping (3D printing), virtual prototyping, and simulation-based design.

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5
Q

What is generative modeling?

A

Generative modeling is an AI-driven approach to designing 3D models by setting constraints, allowing AI to generate various design options.

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6
Q

What are net-shape and near-net-shape manufacturing?

A

Manufacturing processes where a part is made in one operation to final dimensions, tolerances, and finish, reducing the need for additional processing.

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6
Q

What materials are commonly used in Industry 4.0 manufacturing?

A

Ferrous and nonferrous metals, plastics, ceramics, composites, nanomaterials, and biodegradable materials.

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7
Q

What is lean manufacturing?

A

A manufacturing system focused on reducing waste (waiting time, inventory, defects) without sacrificing customer value.

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8
Q

What is green manufacturing?

A

An environmentally conscious approach that minimizes adverse environmental impacts and promotes cradle-to-cradle production.

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9
Q

What are some challenges in Industry 4.0?

A

Large-scale data storage and analysis, real-time process monitoring, collaboration, data sharing, and automated quality control.

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10
Q

What are the benefits of cloud computing in Industry 4.0?

A

Reliability, cost efficiency, scalability, backup and recovery, accessibility, security, and independence from physical location.

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10
Q

What is predictive maintenance (PM) in Industry 4.0?

A

A method that uses IoT, big data, and AI to monitor machinery health in real-time and predict issues before they cause failures.

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11
Q

What is a digital twin (DT)?

A

A virtual model that mirrors a manufacturing process in real time, providing insights, troubleshooting, and simulation capabilities.

12
Q

What is big data, and why is it important in Industry 4.0?

A

Big data involves handling massive datasets that are too complex for traditional tools, enabling advanced insights and predictive analytics in manufacturing.

13
Q

What are the five V’s of big data?

A

Volume, velocity, variety, veracity, and value.

14
Q

What is the Extract, Transform, Load (ETL) process?

A

ETL is a process that extracts raw data, transforms it for analysis, and loads it into a repository for storage or further processing.

15
Q

What is a data lake in Industry 4.0?

A

A centralized repository that stores raw manufacturing data, enabling analytics, visualization, and machine learning applications.

15
Q

How do cloud-based CAD and CAM systems support Industry 4.0?

A

They facilitate real-time collaboration, centralized data access, and seamless workflow integration from design to production.

16
Q

What are the key focuses of modern manufacturing according to Industry 4.0?

A

Automation, flexibility, sustainability, waste reduction, and minimizing environmental impact.

17
Q
A