scholarly journals An autonomous framework for interpretation of 3D objects geometric data using 2D images for application in additive manufacturing

2021 ◽  
Vol 7 ◽  
pp. e629
Author(s):  
Mohammad reza Rezaei ◽  
Mahmoud Houshmand ◽  
Omid Fatahi Valilai
Keyword(s):  
Neural Network ◽  
Additive Manufacturing ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Cloud Manufacturing ◽  
Training Data ◽  
Two Dimensional ◽  
Complex Objects ◽  
Coordination System ◽  
Service Oriented

Additive manufacturing, artificial intelligence and cloud manufacturing are three pillars of the emerging digitized industrial revolution, considered in industry 4.0. The literature shows that in industry 4.0, intelligent cloud based additive manufacturing plays a crucial role. Considering this, few studies have accomplished an integration of the intelligent additive manufacturing and the service oriented manufacturing paradigms. This is due to the lack of prerequisite frameworks to enable this integration. These frameworks should create an autonomous platform for cloud based service composition for additive manufacturing based on customer demands. One of the most important requirements of customer processing in autonomous manufacturing platforms is the interpretation of the product shape; as a result, accurate and automated shape interpretation plays an important role in this integration. Unfortunately despite this fact, accurate shape interpretation has not been a subject of research studies in the additive manufacturing, except limited studies aiming machine level production process. This paper has proposed a framework to interpret shapes, or their informative two dimensional pictures, automatically by decomposing them into simpler shapes which can be categorized easily based on provided training data. To do this, two algorithms which apply a Recurrent Neural Network and a two dimensional Convolutional Neural Network as decomposition and recognition tools respectively are proposed. These two algorithms are integrated and case studies are designed to demonstrate the capabilities of the proposed platform. The results suggest that considering the complex objects which can be decomposed with planes perpendicular to one axis of Cartesian coordination system and parallel withother two, the decomposition algorithm can even give results using an informative 2D image of the object.

Industry 4.0 and Cloud Manufacturing: A Comparative Analysis

2016 ◽  
Author(s):  
Yongkui Liu ◽  
Xun Xu
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Cloud Manufacturing ◽  
The Internet ◽  
New Business ◽  
Service Oriented ◽  
Model Cloud ◽  
The Relationship ◽  
Business Technology

The introduction of the Internet into the manufacturing environment is becoming a prominent trend. In this context, two important concepts concerning manufacturing, i.e. Industry 4.0 and cloud manufacturing have been proposed. Industry 4.0 refers to the fourth industrial revolution and is often understood as the application of Cyber-Physical Systems in industrial production with the help of the Internet to achieve the Internet of Things and the Internet of Services. Meanwhile, the Internet-based new business technology trends, such as cloud, servitization and collaboration, have brought about a novel cloud-based service-oriented manufacturing model — cloud manufacturing. These two concepts, though bearing some similarities, adopt different ideas and approaches for promoting the development of manufacturing industry. Given the great significance of the two concepts to the manufacturing industry, there is a need to understand their similarities and differences. This paper firstly gives a brief up-to-date review of Industry 4.0 and cloud manufacturing, and then clarifies the relationship between them based on the basic concepts and their current research statuses.

Industry 4.0 and Cloud Manufacturing: A Comparative Analysis

2016 ◽  
Vol 139 (3) ◽  
Author(s):  
Yongkui Liu ◽  
Xun Xu
Keyword(s):  
Comparative Analysis ◽  
Industry 4.0 ◽  
Information Technologies ◽  
Manufacturing Industry ◽  
Industrial Revolution ◽  
Cloud Manufacturing ◽  
Widespread Application ◽  
Physical Systems ◽  
Service Oriented ◽  
Basic Ideas

Information technologies with their strong penetration can provide effective solutions for addressing the challenges faced by the manufacturing industry. Leveraging information technologies to enhance the competitiveness of the manufacturing industry has become a prominent trend worldwide. In this context, two important concepts for manufacturing—Industry 4.0 and cloud manufacturing—have been proposed. Industry 4.0 refers to the fourth industrial revolution, which is characterized by the widespread application of cyber-physical systems (CPS) in the manufacturing environment. Cloud manufacturing is a new service-oriented business paradigm based on the cloud concept and method. Since their inception, there has been a great deal of attention from both academia and industry. However, to date, they have largely been addressed in isolation. The fact is that, although being proposed from different perspectives and embracing different ideas, they each have some key features that can benefit one another. In order to better understand these two concepts, there is a need to compare them and clarify their relationship. To this end, this paper presents basic ideas of Industry 4.0 and cloud manufacturing, gives a brief overview of their current research, and provides a detailed comparative analysis of them from different perspectives.

Advancements in Manufacturing Technology With Additive Manufacturing and Its Context With Industry 4.0

2021 ◽  
pp. 1-24
Author(s):  
Ganzi Suresh
Keyword(s):  
Additive Manufacturing ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Three Dimensional ◽  
Metal Alloys ◽  
Layer By Layer ◽  
Post Processing ◽  
Clear Insight ◽  
Am Processes ◽  
Insight Into

Additive manufacturing (AM) is also known as 3D printing and classifies various advanced manufacturing processes that are used to manufacture three dimensional parts or components with a digital file in a sequential layer-by-layer. This chapter gives a clear insight into the various AM processes that are popular and under development. AM processes are broadly classified into seven categories based on the type of the technology used such as source of heat (ultraviolet light, laser) and type materials (resigns, polymers, metal and metal alloys) used to fabricate the parts. These AM processes have their own merits and demerits depending upon the end part application. Some of these AM processes require extensive post-processing in order to get the finished part. For this process, a separate machine is required to overcome this hurdle in AM; hybrid manufacturing comes into the picture with building and post-processing the part in the same machine. This chapter also discusses the fourth industrial revolution (I 4.0) from the perspective of additive manufacturing.

Laser Additive Manufacturing in Industry 4.0

2021 ◽  
pp. 729-754
Author(s):  
Christ P. Paul ◽  
Arackal N. Jinoop ◽  
Saurav K. Nayak ◽  
Alini C. Paul
Keyword(s):  
Additive Manufacturing ◽  
Industry 4.0 ◽  
High Performance ◽  
Industrial Revolution ◽  
Developing Economies ◽  
New Technology ◽  
Industrial Applications ◽  
Laser Additive Manufacturing ◽  
Global Status ◽  
Feature Based Design

Additive manufacturing is one of the nine technologies fuelling the fourth industrial revolution (Industry 4.0). High power lasers augmented with allied digital technologies is changing the entire manufacturing scenario through metal additive manufacturing by providing feature-based design and manufacturing with the technology called laser additive manufacturing (LAM). It enables the fabrication of customized components having complex and lightweight designs with high performance in a short period. The chapter compiles the evolution and global status of LAM technology highlighting its advantages and freedoms for various industrial applications. It discusses how LAM is contributing to Industry 4.0 for the fabrication of customized engineering and prosthetic components through case studies. It compiles research, development, and deployment scenarios of this new technology in developing economies along with the future scope of the technology.

Additive Manufacturing Applications in Industry 4.0: A Review

2019 ◽  
Vol 04 (04) ◽  
pp. 1930001 ◽  
Author(s):  
Abid Haleem ◽  
Mohd Javaid
Keyword(s):  
Additive Manufacturing ◽  
Industry 4.0 ◽  
Manufacturing System ◽  
Industrial Revolution ◽  
Disruptive Technology ◽  
Extensive Literature ◽  
Information Transparency ◽  
Customer Delight ◽  
Manufacturing Applications ◽  
Main Component

Additive manufacturing (AM) is a set of technologies and are vital to fulfilling different requirements of Industry 4.0. So, there is a need to study different additive manufacturing applications toward its achievement. From the Scopus database, different research articles on “Industry 4.0” and “additive manufacturing applications in Industry 4.0” are identified and studied through a bibliometric analysis. It shows that there is an increasing trend of publications in this new area. Industry 4.0 has entered new markets which focus on customer delight by adding values in product and services. It supports automation, interoperability, actionable insights and information transparency. There are different components vital to implement Industry 4.0 requirements. Through this extensive literature review based work, we identified different components of Industry 4.0 and explained the critical ones briefly. Finally, 13 important AM applications in Industry 4.0 are identified. The main limitation of the AM manufactured part is of comparable low strength and associated quality, coupled with a high cost of the printing machine system. In this upcoming industrial revolution, AM is a crucial technology which has become the main component of product innovation and development. This disruptive technology can fulfil different challenges in the future manufacturing system and help the industry to produce innovative products. For this futuristic manufacturing system, additive manufacturing is an upcoming paradigm, and Industry 4.0 will use its potential to achieve required goals.

Towards machine learning for architectural fabrication in the age of industry 4.0

2020 ◽  
Vol 18 (4) ◽  
pp. 335-352
Author(s):  
Mette Ramsgaard Thomsen ◽  
Paul Nicholas ◽  
Martin Tamke ◽  
Sebastian Gatz ◽  
Yuliya Sinke ◽  
...  
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Industry 4.0 ◽  
Integrated Design ◽  
Training Data ◽  
Building Industry ◽  
Main Concern ◽  
Design Intent ◽  
Robotic Fabrication ◽  
Core Questions

Machine Learning (ML) is opening new perspectives for architectural fabrication, as it holds the potential for the profession to shortcut the currently tedious and costly setup of digital integrated design to fabrication workflows and make these more adaptable. To establish and alter these workflows rapidly becomes a main concern with the advent of Industry 4.0 in building industry. In this article we present two projects, which presents how ML can lead to radical changes in generation of fabrication data and linking these directly to design intent. We investigate two different moments of implementation: linking performance to the generation of fabrication data (KnitCone) and integrating the ability to adapt fabrication data in realtime as response to fabrication processes (Neural-Network Steered Robotic Fabrication). Together they examine how models can employ design information as training data and be trained to by step processes within the digital chain. We detail the advantages and limitations of each experiment, we reflect on core questions and perspectives of ML for architectural fabrication: the nature of data to be used, the capacity of these algorithms to encode complexity and generalize results, their task-specificness versus their adaptability and the tradeoffs of using them with respect to conventional explicit analytical modelling.

scholarly journals Impact Assessment of Additive Manufacturing on Sustainable Business Models in Industry 4.0 Context

2020 ◽  
Vol 12 (17) ◽  
pp. 7066 ◽  
Author(s):  
Radu Godina ◽  
Inês Ribeiro ◽  
Florinda Matos ◽  
Bruna T. Ferreira ◽  
Helena Carvalho ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Business Models ◽  
Industrial Revolution ◽  
New Technologies ◽  
Three Dimensions ◽  
Sustainable Business ◽  
Core Element ◽  
Sustainable Business Models

Additive manufacturing has the potential to make a longstanding impact on the manufacturing world and is a core element of the Fourth Industrial Revolution. Additive manufacturing signifies a new disruptive path on how we will produce parts and products. Several studies suggest this technology could foster sustainability into manufacturing systems based on its potential of optimizing material consumption, creating new shapes, customizing designs and shortening production times that, all combined, will greatly transform some of the existing business models. Although it requires reaching a certain level of design maturity to completely insert this technology in an industrial setting, additive manufacturing has the potential to favorably impact the manufacturing sector by reducing costs in production, logistics, inventories, and in the development and industrialization of a new product. The transformation of the industry and the acceleration of the adopting rate of new technologies is driving organizational strategy. Thus, through the lenses of Industry 4.0 and its technological concepts, this paper aims to contribute to the knowledge about the impacts of additive manufacturing technology on sustainable business models. This aim is accomplished through a proposed framework, as well as the models and scales that can be used to determine these impacts. The effects are assessed by taking into account the social, environmental and economic impacts of additive manufacturing on business models and for all these three dimensions a balanced scorecard structure is proposed.

Role of Additive Manufacturing in Industry 4.0 for Maintenance Engineering

2020 ◽  
pp. 235-254 ◽  
Author(s):  
Arun Kumar ◽  
Gurminder Singh ◽  
Ravinder Pal Singh ◽  
Pulak Mohan Pandey
Keyword(s):  
Additive Manufacturing ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Spare Parts ◽  
Cost Component ◽  
Remedial Actions ◽  
Component Assembly ◽  
High Degree ◽  
Maintenance Engineering

The chapter describes the role of additive manufacturing (AM) in Industry 4.0 (I4.0) for maintenance engineering. A brief introduction of the fourth industrial revolution and related technologies has been included. The different AM processes with significant contributions in the relevant industry sectors have been discussed along with suitable examples. Difference between the manufacturing capabilities of conventional and AM technologies has also been presented. Owing to its high degree of design freedom, AM helps to reduce the spare parts inventory cost, component assembly cost, and can replace the discontinued parts easily. A case study presenting these key distinctive features of AM, which make it an indispensable technology for I4.0, are also discussed. Furthermore, the barriers to the adoption of AM technology by manufacturers and possible remedial actions are also discussed in brief. The knowledge gaps in terms of materials and design tools for AM have been identified and a probable road ahead has been discussed.

Role of Additive Manufacturing in Industry 4.0 for Maintenance Engineering

2021 ◽  
pp. 709-728
Author(s):  
Arun Kumar ◽  
Gurminder Singh ◽  
Ravinder Pal Singh ◽  
Pulak Mohan Pandey
Keyword(s):  
Additive Manufacturing ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Spare Parts ◽  
Cost Component ◽  
Remedial Actions ◽  
Component Assembly ◽  
High Degree ◽  
Maintenance Engineering

The chapter describes the role of additive manufacturing (AM) in Industry 4.0 (I4.0) for maintenance engineering. A brief introduction of the fourth industrial revolution and related technologies has been included. The different AM processes with significant contributions in the relevant industry sectors have been discussed along with suitable examples. Difference between the manufacturing capabilities of conventional and AM technologies has also been presented. Owing to its high degree of design freedom, AM helps to reduce the spare parts inventory cost, component assembly cost, and can replace the discontinued parts easily. A case study presenting these key distinctive features of AM, which make it an indispensable technology for I4.0, are also discussed. Furthermore, the barriers to the adoption of AM technology by manufacturers and possible remedial actions are also discussed in brief. The knowledge gaps in terms of materials and design tools for AM have been identified and a probable road ahead has been discussed.

Design and Implementation of a Broker for Cloud Additive Manufacturing Services

2015 ◽  
Vol 137 (4) ◽  
Author(s):  
Venkata P. Modekurthy ◽  
Xiaoqing F. Liu ◽  
Kenneth K. Fletcher ◽  
Ming C. Leu
Keyword(s):  
Additive Manufacturing ◽  
Service Oriented Architecture ◽  
Service Providers ◽  
Single Point ◽  
Service Selection ◽  
Cloud Manufacturing ◽  
Service Oriented ◽  
Service Broker ◽  
Service Ranking

With increasing number of cloud additive manufacturing (AM) service providers, cloud AM services are becoming decentralized and it is difficult for consumers to discover cloud AM services according to their personal preferences and tradeoffs. Existing frameworks of cloud manufacturing either do not have brokers between cloud manufacturing service providers and consumers or do not support personalized preference and tradeoff based brokerage. In this paper, we present a cloud-based service broker system for cloud AM to provide consumers with a single point of access to a large number of cloud AM services from many cloud AM service providers over the Internet based on a service oriented architecture using web services. This broker system uses an innovative cloud AM service selection method which considers consumers' preferences and tradeoffs on service attributes like price, material, and accuracy in the ranking process. It is also based on a new integrated representation for both exact and varied matches in cloud AM service selection. We present an application case study to show how the cloud AM service broker system is used to select cloud AM services based on personal preferences and tradeoffs. It demonstrates feasibility of brokerage in cloud AM and effectiveness of the cloud AM service ranking method based on personalized preferences and tradeoffs.

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