Chapter 4 Industry 4.0 and digital manufacturing
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Alok Kumar Doharey
Abstract
High material utilization rates have been revealed to be achievable through the use of hybrid manufacturing, which combines computer numerical control (CNC) machining with metal additively created performs. Hybrid production does present certain difficulties. Generally, designs with near-net shapes are chosen; this leads to tighter specifications for work coordinate system identification and a narrower margin for part placement within the stock. Reduction of stock material stiffness lowers the preform, limiting the material removal rates during machining. The importance of rising expenses and the environmental effects of energy consumption have increased for consumers worldwide. Manufacturing industries are more affected by energy prices, which must be lowered by measuring and optimizing energy use. Digital manufacturing is a smart technology and device; tool-based technology has emerged in Industry 4.0 and reduces energy consumption at the shop floor level. Digital manufacturers (DMs) have been used to visualize performance (track changes, comprehend, and optimize assets). By planning and assessing the manufacturing steps in virtual settings before production the use of DMs in smart manufacturing can shorten the time to market based on human-robot collaboration. The automation manufacturing sector provides the benefits of quality control, safety, and productivity. However, there are still many obstacles to overcome, such as skill shortages, complexity, workforce, integration costs, safety concerns, and regulatory compliance. Virtual duplicates of physical systems called digital technology are being investigated as a potential remedy for these issues. The importance of artificial intelligence and machine learning has revolutionized the impending Industry 4.0. Intelligent machines capable of communication with one another always take center stage when we discuss this transformation, leading us to refer to it as the Internet of things (IoT). The technology of cybersecurity, IoT, and cloud computing have been useful in achieving the best results in manufacturing sectors. Big data, cybersecurity, simulation, augmented reality, cloud, and IoT are introduced as fuzzy DEMATEL technologies (robot-based framework, mobile devices, additive manufacturing). The systems integration is classified as effect technologies.
Abstract
High material utilization rates have been revealed to be achievable through the use of hybrid manufacturing, which combines computer numerical control (CNC) machining with metal additively created performs. Hybrid production does present certain difficulties. Generally, designs with near-net shapes are chosen; this leads to tighter specifications for work coordinate system identification and a narrower margin for part placement within the stock. Reduction of stock material stiffness lowers the preform, limiting the material removal rates during machining. The importance of rising expenses and the environmental effects of energy consumption have increased for consumers worldwide. Manufacturing industries are more affected by energy prices, which must be lowered by measuring and optimizing energy use. Digital manufacturing is a smart technology and device; tool-based technology has emerged in Industry 4.0 and reduces energy consumption at the shop floor level. Digital manufacturers (DMs) have been used to visualize performance (track changes, comprehend, and optimize assets). By planning and assessing the manufacturing steps in virtual settings before production the use of DMs in smart manufacturing can shorten the time to market based on human-robot collaboration. The automation manufacturing sector provides the benefits of quality control, safety, and productivity. However, there are still many obstacles to overcome, such as skill shortages, complexity, workforce, integration costs, safety concerns, and regulatory compliance. Virtual duplicates of physical systems called digital technology are being investigated as a potential remedy for these issues. The importance of artificial intelligence and machine learning has revolutionized the impending Industry 4.0. Intelligent machines capable of communication with one another always take center stage when we discuss this transformation, leading us to refer to it as the Internet of things (IoT). The technology of cybersecurity, IoT, and cloud computing have been useful in achieving the best results in manufacturing sectors. Big data, cybersecurity, simulation, augmented reality, cloud, and IoT are introduced as fuzzy DEMATEL technologies (robot-based framework, mobile devices, additive manufacturing). The systems integration is classified as effect technologies.
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
- List of contributing authors IX
- Biography XIII
- Chapter 1 Machining strategies and processes for advanced materials 1
- Chapter 2 Machinability of nickel-titanium (NiTi) shape memory alloys (SMAs): traditional machining process 21
- Chapter 3 Thermal analysis of jute/kenaf/kevlar hybridfilled UHMWPE composite-based tibial spacer using ANSYS-22R1 for total knee replacement 39
- Chapter 4 Industry 4.0 and digital manufacturing 57
- Chapter 5 Metal additive manufacturing: revolutionizing production in the digital age 91
- Chapter 6 Enhancing the tribological properties of surfaces through various surface modification and coating techniques 107
- Chapter 7 Nanoengineered metal oxide additives as tribological performance modifiers 125
- Chapter 8 Recent developments to improve wear resistance of biomaterials 139
- Chapter 9 Meniscus for knee osteoarthritis: a journey of its development 155
- Chapter 10 Performance of composite box girder bridge under Indian earthquakes 179
- Chapter 11 Enhancing wear performance of reinforced UHMWPE composites: a comprehensive exploration 197
- Chapter 12 Tribological behavior of advanced materials 223
- Index 239
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
- List of contributing authors IX
- Biography XIII
- Chapter 1 Machining strategies and processes for advanced materials 1
- Chapter 2 Machinability of nickel-titanium (NiTi) shape memory alloys (SMAs): traditional machining process 21
- Chapter 3 Thermal analysis of jute/kenaf/kevlar hybridfilled UHMWPE composite-based tibial spacer using ANSYS-22R1 for total knee replacement 39
- Chapter 4 Industry 4.0 and digital manufacturing 57
- Chapter 5 Metal additive manufacturing: revolutionizing production in the digital age 91
- Chapter 6 Enhancing the tribological properties of surfaces through various surface modification and coating techniques 107
- Chapter 7 Nanoengineered metal oxide additives as tribological performance modifiers 125
- Chapter 8 Recent developments to improve wear resistance of biomaterials 139
- Chapter 9 Meniscus for knee osteoarthritis: a journey of its development 155
- Chapter 10 Performance of composite box girder bridge under Indian earthquakes 179
- Chapter 11 Enhancing wear performance of reinforced UHMWPE composites: a comprehensive exploration 197
- Chapter 12 Tribological behavior of advanced materials 223
- Index 239
