描述
开 本: 16开纸 张: 胶版纸包 装: 平装-胶订是否套装: 否国际标准书号ISBN: 9787518363070
内容简介
.本书系统介绍了智能制造相关的基本概念和技术，全书共分15章，主要内容包括工业4.0、智能机器人及设备、制造加工、选材与设计、AI技术、机器学习、注塑成型加工、增材制造技术、电池管理系统、芯片加工等。
本书可作为机械工程学科智能制造工程、机械设计制造及其自动化、材料成型及控制工程等相关专业的教科书，也可作为智能制造、机械加工、材料设计等相关领域的科技工作者的参考书。
本书可作为机械工程学科智能制造工程、机械设计制造及其自动化、材料成型及控制工程等相关专业的教科书，也可作为智能制造、机械加工、材料设计等相关领域的科技工作者的参考书。
目 录
Chapter 1 Industry 4
1.1 Industrial revolutions and Industry 4
1.2 Cloud systems
1.3 Machine to machine（M2M）communication
1.4 Smart factories
1.5 Internet of things
Chapter 2 Intelligent robotics
2.1 Introduction
2.2 Definition：what is an intelligent robot？
2.3 Intelligent robot
2.4 Motivation：why robots？
2.5 Seven areas of AI：why intelligence？
Chapter 3 Intelligent devices
3.1 Intelligent instruments
3.2 Smart sensors
3.3 Smart transmitters
Chapter 4 Material selection and design
4.1 Manufacturing challenges
4.2 Manufacturing optimization through intelligen t techniques
Chapter 5 Design for manufacturability
5.1 Definition
5.2 Competition and vulnerability
5.3 Simplifying machine in the design stage
5.4 Dimensional tolerances and surface roughness
Chapter 6 Computational intelligence for manufacturing
6.1 Knowledge-based systems
6.2 Fuzzy logic
6.3 Inductive learning
6.4 Neural networks
6.5 Genetic algorithms
Chapter 7 Search-related techniques in AI
7.1 Artificial intelligence
7.2 Business intelligence，big data and data governance
Chapter 8 Machine learning
8.1 Conceptual machine learning
8.2 Machine learning intelligence
8.3 How machine learning works
8.4 The pros and cons of complexity
8.5 Balancing complexity
8.6 Feature engineering
8.7 Converting data to useable format
8.8 Helping your model use the data
8.9 Normalizing
8.10 Exposing hidden information
8.11 Expanding the context
8.12 Eliminating misleading things
8.13 Modeling
8.14 Complexity parameters
8.15 Identifying overfitting
8.16 Summary
Chapter 9 Fundamentals of injection molding manufacturing
9.1 Some cases for AI manufacturing process and application
9.2 Position of CBR methodology in injection molding
9.3 Applications of CBR in injection molding
9.4 Intelligent systems by CBR
9.5 CBR in processing parameters
9.6 CBR in quality control and cost
9.7 CBR in process design
9.8 CBR in fault diagnose
Chapter 10 Additive manufacturing
10.1 What is additive manufacturing？
10.2 The generic AM process
10.3 The benefits of AM
10.4 Distinction between AM and CNC machine
10.5 Other related technologies
Chapter 11 Smart battery management systems
11.1 Introduction
11.2 The hardware design of management system
11.3 The software design of management system
Chapter 12 Printed circuit boards
12.1 Connectivity in electronic equipment
12.2 Evolution of printed circuit boards
12.3 Components of a printed circuit board
12.4 Classification of printed circuit boards
12.5 Manufacturing of basic printed circuit boards
Chapter 13 Chip manufacturing
13.1 History of chip manufacturing
13.2 Chip evolution
13.3 Metal thin-film characteristics
13.4 Basic metallization processes
13.5 Impact of the chip on our society
Chapter 14 Job shop scheduling
14.1 Introduction
14.2 Scheduling model classification
Chapter 15 Scientific paper writing
15.1 Structures for the research paper
15.2 Introduction section
15.3 Methods section
15.4 Results section
15.5 Discussion section
15.6 Abstract
15.7 Highlights
15.8 Conclusions
15.9 A second look at structures for the researcher paper
References
1.1 Industrial revolutions and Industry 4
1.2 Cloud systems
1.3 Machine to machine（M2M）communication
1.4 Smart factories
1.5 Internet of things
Chapter 2 Intelligent robotics
2.1 Introduction
2.2 Definition：what is an intelligent robot？
2.3 Intelligent robot
2.4 Motivation：why robots？
2.5 Seven areas of AI：why intelligence？
Chapter 3 Intelligent devices
3.1 Intelligent instruments
3.2 Smart sensors
3.3 Smart transmitters
Chapter 4 Material selection and design
4.1 Manufacturing challenges
4.2 Manufacturing optimization through intelligen t techniques
Chapter 5 Design for manufacturability
5.1 Definition
5.2 Competition and vulnerability
5.3 Simplifying machine in the design stage
5.4 Dimensional tolerances and surface roughness
Chapter 6 Computational intelligence for manufacturing
6.1 Knowledge-based systems
6.2 Fuzzy logic
6.3 Inductive learning
6.4 Neural networks
6.5 Genetic algorithms
Chapter 7 Search-related techniques in AI
7.1 Artificial intelligence
7.2 Business intelligence，big data and data governance
Chapter 8 Machine learning
8.1 Conceptual machine learning
8.2 Machine learning intelligence
8.3 How machine learning works
8.4 The pros and cons of complexity
8.5 Balancing complexity
8.6 Feature engineering
8.7 Converting data to useable format
8.8 Helping your model use the data
8.9 Normalizing
8.10 Exposing hidden information
8.11 Expanding the context
8.12 Eliminating misleading things
8.13 Modeling
8.14 Complexity parameters
8.15 Identifying overfitting
8.16 Summary
Chapter 9 Fundamentals of injection molding manufacturing
9.1 Some cases for AI manufacturing process and application
9.2 Position of CBR methodology in injection molding
9.3 Applications of CBR in injection molding
9.4 Intelligent systems by CBR
9.5 CBR in processing parameters
9.6 CBR in quality control and cost
9.7 CBR in process design
9.8 CBR in fault diagnose
Chapter 10 Additive manufacturing
10.1 What is additive manufacturing？
10.2 The generic AM process
10.3 The benefits of AM
10.4 Distinction between AM and CNC machine
10.5 Other related technologies
Chapter 11 Smart battery management systems
11.1 Introduction
11.2 The hardware design of management system
11.3 The software design of management system
Chapter 12 Printed circuit boards
12.1 Connectivity in electronic equipment
12.2 Evolution of printed circuit boards
12.3 Components of a printed circuit board
12.4 Classification of printed circuit boards
12.5 Manufacturing of basic printed circuit boards
Chapter 13 Chip manufacturing
13.1 History of chip manufacturing
13.2 Chip evolution
13.3 Metal thin-film characteristics
13.4 Basic metallization processes
13.5 Impact of the chip on our society
Chapter 14 Job shop scheduling
14.1 Introduction
14.2 Scheduling model classification
Chapter 15 Scientific paper writing
15.1 Structures for the research paper
15.2 Introduction section
15.3 Methods section
15.4 Results section
15.5 Discussion section
15.6 Abstract
15.7 Highlights
15.8 Conclusions
15.9 A second look at structures for the researcher paper
References
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