scholarly journals Exploring the Interrelationship between Additive Manufacturing and Industry 4.0

Designs ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 13 ◽  
Author(s):  
Javaid Butt
Keyword(s):  
Additive Manufacturing ◽  
Literature Review ◽  
Industry 4.0 ◽  
Data Exchange ◽  
Smart Manufacturing ◽  
Cognitive Computing ◽  
Digital Twins ◽  
Technological Developments ◽  
Manufacturing Techniques ◽  
Manufacturing Technologies

Innovative technologies allow organizations to remain competitive in the market and increase their profitability. These driving factors have led to the adoption of several emerging technologies and no other trend has created more of an impact than Industry 4.0 in recent years. This is an umbrella term that encompasses several digital technologies that are geared toward automation and data exchange in manufacturing technologies and processes. These include but are not limited to several latest technological developments such as cyber-physical systems, digital twins, Internet of Things, cloud computing, cognitive computing, and artificial intelligence. Within the context of Industry 4.0, additive manufacturing (AM) is a crucial element. AM is also an umbrella term for several manufacturing techniques capable of manufacturing products by adding layers on top of each other. These technologies have been widely researched and implemented to produce homogeneous and heterogeneous products with complex geometries. This paper focuses on the interrelationship between AM and other elements of Industry 4.0. A comprehensive AM-centric literature review discussing the interaction between AM and Industry 4.0 elements whether directly (used for AM) or indirectly (used with AM) has been presented. Furthermore, a conceptual digital thread integrating AM and Industry 4.0 technologies has been proposed. The need for such interconnectedness and its benefits have been explored through the content-centric literature review. Development of such a digital thread for AM will provide significant benefits, allow companies to respond to customer requirements more efficiently, and will accelerate the shift toward smart manufacturing.

scholarly journals Systematic Literature Review Predictive Maintenance Solutions for SMEs from the Last Decade

Machines ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 191
Author(s):  
Sepideh Hassankhani Dolatabadi ◽  
Ivana Budinska
Keyword(s):  
Environmental Factors ◽  
Literature Review ◽  
Rapid Growth ◽  
Industry 4.0 ◽  
Predictive Maintenance ◽  
Smart Manufacturing ◽  
Equipment Failure ◽  
Specific Category ◽  
Low Costs ◽  
Manufacturing Technologies

Today, small- and medium-sized enterprises (SMEs) play an important role in the economy of societies. Although environmental factors, such as COVID-19, as well as non-environmental factors, such as equipment failure, make these industries more vulnerable, they can be minimized by better understanding the concerns and threats these industries face. Only a few SMEs have the capacity to implement the innovative manufacturing technologies of Industry 4.0. The system must be highly adaptable to any equipment, have low costs, avoid the need of doing complex integrations and setups, and have future reliability due to the rapid growth of technology. The goal of this study was to provide an overview of past articles (2010–2020), highlighting the major expectations, requirements, and challenges for SMEs regarding the implementation of predictive maintenance (PdM). The proposed solutions to meet these expectations, requirements, and challenges are discussed. In general, in this study, we attempted to overcome the challenges and limitations of using smart manufacturing—PdM, in particular—in small- and medium-sized enterprises by summarizing the solutions offered in different industries and with various conditions. Moreover, this literature review enables managers and stakeholders of organizations to find solutions from previous studies for a specific category, with consideration for their expectations and needs. This can be significantly helpful for small- and medium-sized organizations to save time due to time-consuming maintenance processes.

scholarly journals Connectivity as a Design Feature for Industry 4.0 Production Equipment: Application for the Development of an In-Line Metrology System

2021 ◽  
Vol 11 (3) ◽  
pp. 1312
Author(s):  
Ana Pamela Castro-Martin ◽  
Horacio Ahuett-Garza ◽  
Darío Guamán-Lozada ◽  
Maria F. Márquez-Alderete ◽  
Pedro D. Urbina Coronado ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Design Feature ◽  
Production Equipment ◽  
Smart Manufacturing ◽  
Process Data ◽  
Industrial Sectors ◽  
Advanced Manufacturing Technologies ◽  
Manufacturing Technologies ◽  
Equipment Application ◽  
The Impact

Industry 4.0 (I4.0) is built upon the capabilities of Internet of Things technologies that facilitate the recollection and processing of data. Originally conceived to improve the performance of manufacturing facilities, the field of application for I4.0 has expanded to reach most industrial sectors. To make the best use of the capabilities of I4.0, machine architectures and design paradigms have had to evolve. This is particularly important as the development of certain advanced manufacturing technologies has been passed from large companies to their subsidiaries and suppliers from around the world. This work discusses how design methodologies, such as those based on functional analysis, can incorporate new functions to enhance the architecture of machines. In particular, the article discusses how connectivity facilitates the development of smart manufacturing capabilities through the incorporation of I4.0 principles and resources that in turn improve the computing capacity available to machine controls and edge devices. These concepts are applied to the development of an in-line metrology station for automotive components. The impact on the design of the machine, particularly on the conception of the control, is analyzed. The resulting machine architecture allows for measurement of critical features of all parts as they are processed at the manufacturing floor, a critical operation in smart factories. Finally, this article discusses how the I4.0 infrastructure can be used to collect and process data to obtain useful information about the process.

scholarly journals Digital Twins Collaboration for Automatic Erratic Operational Data Detection in Industry 4.0

2021 ◽  
Vol 11 (7) ◽  
pp. 3186
Author(s):  
Radhya Sahal ◽  
Saeed H. Alsamhi ◽  
John G. Breslin ◽  
Kenneth N. Brown ◽  
Muhammad Intizar Ali
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Interaction Mechanism ◽  
Semantic Knowledge ◽  
Smart Manufacturing ◽  
Data Detection ◽  
Workflow Model ◽  
Digital Twins ◽  
Potential Failure ◽  
Operational Data

Digital twin (DT) plays a pivotal role in the vision of Industry 4.0. The idea is that the real product and its virtual counterpart are twins that travel a parallel journey from design and development to production and service life. The intelligence that comes from DTs’ operational data supports the interactions between the DTs to pave the way for the cyber-physical integration of smart manufacturing. This paper presents a conceptual framework for digital twins collaboration to provide an auto-detection of erratic operational data by utilizing operational data intelligence in the manufacturing systems. The proposed framework provide an interaction mechanism to understand the DT status, interact with other DTs, learn from each other DTs, and share common semantic knowledge. In addition, it can detect the anomalies and understand the overall picture and conditions of the operational environments. Furthermore, the proposed framework is described in the workflow model, which breaks down into four phases: information extraction, change detection, synchronization, and notification. A use case of Energy 4.0 fault diagnosis for wind turbines is described to present the use of the proposed framework and DTs collaboration to identify and diagnose the potential failure, e.g., malfunctioning nodes within the energy industry.

Additive Manufacturing: The Next Generation of Scapholunate Ligament Reconstruction

2021 ◽  
Author(s):  
Matthew N. Rush ◽  
Christina Salas ◽  
Lorraine Mottishaw ◽  
Damian Fountain ◽  
Deana Mercer
Keyword(s):  
Additive Manufacturing ◽  
Ligament Reconstruction ◽  
Three Dimensional ◽  
Biological Properties ◽  
Bone Interface ◽  
Significant Strength ◽  
Efficient Integration ◽  
Manufacturing Methods ◽  
Manufacturing Techniques ◽  
Manufacturing Technologies

Abstract Background Ligament reconstruction, as a surgical method used to stabilize joints, requires significant strength and tissue anchoring to restore function. Historically, reconstructive materials have been fraught with problems from an inability to withstand normal physiological loads to difficulties in fabricating the complex organization structure of native tissue at the ligament-to-bone interface. In combination, these factors have prevented the successful realization of nonautograft reconstruction. Methods A review of recent improvements in additive manufacturing techniques and biomaterials highlight possible options for ligament replacement. Description of Technique In combination, three dimensional-printing and electrospinning have begun to provide for nonautograft options that can meet the physiological load and architectures of native tissues; however, a combination of manufacturing methods is needed to allow for bone-ligament enthesis. Hybrid biofabrication of bone-ligament tissue scaffolds, through the simultaneous deposition of disparate materials, offer significant advantages over fused manufacturing methods which lack efficient integration between bone and ligament materials. Results In this review, we discuss the important chemical and biological properties of ligament enthesis and describe recent advancements in additive manufacturing to meet mechanical and biological requirements for a successful bone–ligament–bone interface. Conclusions With continued advancement of additive manufacturing technologies and improved biomaterial properties, tissue engineered bone-ligament scaffolds may soon enter the clinical realm.

scholarly journals An Industry 4.0 framework for tooling production using metal additive manufacturing-based first-time-right smart manufacturing system

Procedia CIRP ◽  
2020 ◽  
Vol 93 ◽  
pp. 32-37 ◽  
Author(s):  
Mandaná Moshiri ◽  
Amal Charles ◽  
Ahmed Elkaseer ◽  
Steffen Scholz ◽  
Sankhya Mohanty ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Industry 4.0 ◽  
Manufacturing System ◽  
Smart Manufacturing ◽  
Metal Additive Manufacturing ◽  
First Time ◽  
Metal Additive

scholarly journals Digital Twins in Pharmaceutical and Biopharmaceutical Manufacturing: A Literature Review

Processes ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1088
Author(s):  
Yingjie Chen ◽  
Ou Yang ◽  
Chaitanya Sampat ◽  
Pooja Bhalode ◽  
Rohit Ramachandran ◽  
...  
Keyword(s):  
Pharmaceutical Industry ◽  
Literature Review ◽  
Industry 4.0 ◽  
Process Analytical Technology ◽  
Manufacturing Sector ◽  
Current Status ◽  
Future Research ◽  
Physical Systems ◽  
Digital Twins ◽  
Biopharmaceutical Manufacturing

The development and application of emerging technologies of Industry 4.0 enable the realization of digital twins (DT), which facilitates the transformation of the manufacturing sector to a more agile and intelligent one. DTs are virtual constructs of physical systems that mirror the behavior and dynamics of such physical systems. A fully developed DT consists of physical components, virtual components, and information communications between the two. Integrated DTs are being applied in various processes and product industries. Although the pharmaceutical industry has evolved recently to adopt Quality-by-Design (QbD) initiatives and is undergoing a paradigm shift of digitalization to embrace Industry 4.0, there has not been a full DT application in pharmaceutical manufacturing. Therefore, there is a critical need to examine the progress of the pharmaceutical industry towards implementing DT solutions. The aim of this narrative literature review is to give an overview of the current status of DT development and its application in pharmaceutical and biopharmaceutical manufacturing. State-of-the-art Process Analytical Technology (PAT) developments, process modeling approaches, and data integration studies are reviewed. Challenges and opportunities for future research in this field are also discussed.

scholarly journals Visible Light Communications for Industrial Applications—Challenges and Potentials

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2157
Author(s):  
Yousef Almadani ◽  
David Plets ◽  
Sander Bastiaens ◽  
Wout Joseph ◽  
Muhammad Ijaz ◽  
...  
Keyword(s):  
Visible Light ◽  
Electromagnetic Interference ◽  
Industry 4.0 ◽  
High Speed ◽  
Data Exchange ◽  
Research Work ◽  
Industrial Applications ◽  
Smart Manufacturing ◽  
Low Latency ◽  
Visible Light Communications

Visible Light Communication (VLC) is a short-range optical wireless communication technology that has been gaining attention due to its potential to offload heavy data traffic from the congested radio wireless spectrum. At the same time, wireless communications are becoming crucial to smart manufacturing within the scope of Industry 4.0. Industry 4.0 is a developing trend of high-speed data exchange in automation for manufacturing technologies and is referred to as the fourth industrial revolution. This trend requires fast, reliable, low-latency, and cost-effective data transmissions with fast synchronizations to ensure smooth operations for various processes. VLC is capable of providing reliable, low-latency, and secure connections that do not penetrate walls and is immune to electromagnetic interference. As such, this paper aims to show the potential of VLC for industrial wireless applications by examining the latest research work in VLC systems. This work also highlights and classifies challenges that might arise with the applicability of VLC and visible light positioning (VLP) systems in these settings. Given the previous work performed in these areas, and the major ongoing experimental projects looking into the use of VLC systems for industrial applications, the use of VLC and VLP systems for industrial applications shows promising potential.

scholarly journals Turkey’s Industry 4.0 Adventure: Dream or Realization

2020 ◽  
Author(s):  
Vahap Tecim ◽  
Cigdem Tarhan
Keyword(s):  
Social Sciences ◽  
Information Systems ◽  
Industry 4.0 ◽  
Data Exchange ◽  
Management Information Systems ◽  
The Internet ◽  
Management Information ◽  
Industrial Transformation ◽  
Automation Systems ◽  
Technological Developments

Today’s technology minimizes human errors and enables the implementation of applications that will enable electronic devices to work flawlessly as much as possible. Both socially and technically, in each sector with all levels, the manager must make decisions based on his/her responsibility and interest. In these environments, making the right decision, unprotected or minimal damage to the risks, depends on the personal ability of the decision-maker as well as the information that comes with it. The concept of Industry 4.0, which has emerged in parallel with technological developments, includes the transformation of production and service activities into modern automation systems in social areas and the use of new methods in data exchange. In this context, the internet of the objects, the internet of services and cyber-physical systems constitute the basic structures of the new formation. In this study, the use of these technologies in the areas where social sciences operate in the fields of which are the components of the technological developments that emerged as Industry 4.0 are discussed in the topics of Autonomous Robots, Big Data, Simulation, System Integration, Cyber Security, Cloud Computing, 3D Printers, Enhanced and Virtual Reality. Planning, analysis, design, coding and implementation stages of many technologies produced and implemented by Management Information Systems for social sciences with the reason of the emergence of Industry 4.0, innovation, flexibility and efficiency approach will be explained in this study. Additionally, this paper examines the effect of the industrial transformation in Turkey. Keywords: Industry 4.0, internet of things, management information systems, information technologies

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