Intelligent machining methods for Ti6Al4V: A review

Author(s):  
Sílvia Ribeiro-Carvalho ◽  
RBD Pereira ◽  
Ana Horovistiz ◽  
J. Paulo Davim

Digital manufacturing is a necessity to establishing a roadmap for the future manufacturing systems projected for the fourth industrial revolution. Intelligent features such as behavior prediction, decision-making abilities, and failure detection can be integrated into machining systems with computational methods and intelligent algorithms. This review reports on techniques for Ti6Al4V machining process modeling, among them numerical modeling with finite element method (FEM) and artificial intelligence-based models using artificial neural networks (ANN) and fuzzy logic (FL). These methods are intrinsically intelligent due to their ability to predict machining response variables. In the context of this review, digital image processing (DIP) emerges as a technique to analyze and quantify the machining response (digitization) in the real machining process, often used to validate and (or) introduce data in the modeling techniques enumerated above. The widespread use of these techniques in the future will be crucial for the development of the forthcoming machining systems as they provide data about the machining process, allow its interpretation and quantification in terms of useful information for process modelling and optimization, which will create machining systems less dependent on direct human intervention.

2022 ◽  
pp. 59-73
Author(s):  
Saurabh Tiwari ◽  
Prakash Chandra Bahuguna ◽  
Jason Walker

There will be a revolution in industry and society as a result of Industry 5.0. Human-robot co-working, also known as cobots, is a key component of Industry 5.0. Industry 5.0 will overcome all the limitations of the previous industrial revolution. Humans and machines will work together in this revolution to increase the efficiency of processes by utilising human brainpower and creativity. To solve complex problems more efficiently and with less human intervention, Industry 5.0 provides a strong foundation for advanced digital manufacturing systems through interconnected networks, and it's designed to communicate with other systems, as well as powerful computing power. To enhance customer satisfaction, Industry 5.0 involves a shift from mass customization to mass personalization along with a shift from digital usage of data to intelligent use of data for sustainable development. On the basis of comparative analysis, this chapter outlines Industry 5.0's definition, its elements and components, and its application and future scope paradigm.


Author(s):  
David A. Guerra-Zubiaga ◽  
Kathy S. Schwaig ◽  
Mason B. Felix ◽  
John D. Calfee ◽  
Aubrey M. Sims ◽  
...  

Cyber Manufacturing system (CMS) is the future of manufacturing system integration, which can completely change the manufacturing industry in all areas to benefit everyone from the companies to the consumers. This research paper describes how this form of manufacturing can be achieved through the cooperation of several areas of digital manufacturing. The included Manufacturing Automation Framework displays how the different systems can work together to achieve successful cyber manufacturing. The framework provides the basic structure of the system needed to easily transfer the technology and ideas to various industries.


Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2945
Author(s):  
Abdulrazak F. Shahatha Al-Mashhadani ◽  
Muhammad Imran Qureshi ◽  
Sanil S. Hishan ◽  
Mohd Shamsuri Md Saad ◽  
Yamunah Vaicondam ◽  
...  

Although the Internet of Things (IoT), advanced manufacturing technologies, and cloud manufacturing contribute to developing a digital manufacturing ecosystem that enhances energy efficiency and resource utilization, manufacturing processes are vulnerable to timely production and delivery. The digital manufacturing systems in Industrial Revolution 4.0 (IR 4.0) minimized the human-technology interactions to foster productivity and material flow. However, there is scarce research to gauge the efficiency of these digital technologies in the entire manufacturing process; also, little is known about the collaborative efforts among countries to achieve sustainable manufacturing performance through the digitalization of the production process. Thus, this systematic review aimed to highlight the effectiveness of the digital manufacturing systems for sustainable product development and the collaborative research on the subject. We selected 52 research articles for this review by following the 2015 Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA) statement. The literature classifications were developed using text frequency algorithms in VOSviewer (Centre for Science and Technology Studies, Leiden University, The Netherlands) Results exposed literature from 2005 to 2020 can be categorized into four major research streams: digital transformation, digital manufacturing ecosystem, performance management, and sustainability. The study’s findings revealed that the manufacturing processes are moving towards the IoT, digital devices, and smart factories that are entirely dependent on digital technologies. The digital manufacturing ecosystem is dependent on the availability of digital technologies to all stakeholders. The study concluded that digital technologies are improving manufacturing efficiency and process effectiveness. However, this requires infrastructure that primarily available in developed countries; thus, the digital transformation in underdeveloped regions is deliberate and requires more collaborative research.


2018 ◽  
Vol 1 (3) ◽  
pp. 15-22
Author(s):  
Nemailal Tarafder

The fundamentals of nanotechnology lie in the fact that the properties of materials drastically change when their dimensions are reduced to nanometer scale. Nanotextiles can be produced by a variety of methods. The use of nanotechnology in the textile industry has increased rapidly due to its unique and valuable properties. Changed or improved properties with nanotechnology can provide new or enhanced functionalities. Nanotechnology is a growing interdisciplinary technology and seen as a new industrial revolution. The future success of nanotechnology in textile applications lies in the areas where new principles will be combined into durable and multi-functional textile systems without compromising the inherent properties. The advances in nanotechnology have created enormous opportunities and challenges for the textile industry, including the cotton industry.


2021 ◽  
pp. 103530462110147
Author(s):  
Mark Dean ◽  
Al Rainnie ◽  
Jim Stanford ◽  
Dan Nahum

This article critically analyses the opportunities for Australia to revitalise its strategically important manufacturing sector in the wake of the COVID-19 pandemic. It considers Australia’s industry policy options on the basis of both advances in the theory of industrial policy and recent policy proposals in the Australian context. It draws on recent work from The Australia Institute’s Centre for Future Work examining the prospects for Australian manufacturing renewal in a post-COVID-19 economy, together with other recent work in political economy, economic geography and labour process theory critically evaluating the Fourth Industrial Revolution (i4.0) and its implications for the Australian economy. The aim of the article is to contribute to and further develop the debate about the future of government intervention in manufacturing and industry policy in Australia. Crucially, the argument links the future development of Australian manufacturing with a focus on renewable energy. JEL Codes: L50; L52; L78; O10; O13: O25; O44; P18; Q42


Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 869
Author(s):  
Pablo F. S. Melo ◽  
Eduardo P. Godoy ◽  
Paolo Ferrari ◽  
Emiliano Sisinni

The technical innovation of the fourth industrial revolution (Industry 4.0—I4.0) is based on the following respective conditions: horizontal and vertical integration of manufacturing systems, decentralization of computing resources and continuous digital engineering throughout the product life cycle. The reference architecture model for Industry 4.0 (RAMI 4.0) is a common model for systematizing, structuring and mapping the complex relationships and functionalities required in I4.0 applications. Despite its adoption in I4.0 projects, RAMI 4.0 is an abstract model, not an implementation guide, which hinders its current adoption and full deployment. As a result, many papers have recently studied the interactions required among the elements distributed along the three axes of RAMI 4.0 to develop a solution compatible with the model. This paper investigates RAMI 4.0 and describes our proposal for the development of an open-source control device for I4.0 applications. The control device is one of the elements in the hierarchy-level axis of RAMI 4.0. Its main contribution is the integration of open-source solutions of hardware, software, communication and programming, covering the relationships among three layers of RAMI 4.0 (assets, integration and communication). The implementation of a proof of concept of the control device is discussed. Experiments in an I4.0 scenario were used to validate the operation of the control device and demonstrated its effectiveness and robustness without interruption, failure or communication problems during the experiments.


Author(s):  
Natasha Kurnia Tishani ◽  
Rudy Trisno

The advancement of technology in the world is marked by the industrial revolution event. Indonesia has entered the era of the industrial revolution 4.0. This incident affects the way society dwell, slowly our lives have been dominated by technology and it is possible that in the future humans will be replaced by robots. We must developing soft skills that cannot be replaced by robots through our education. Indonesia’s education itself does not prepare the next generation to deal with this event. Starting from outdated curriculum,  teachers who are afraid to explore in teaching to school buildings that still adhere to the school system in the 19th century. The study of the discussion is how human dwell in the future in this case is to study, namely primary school buildings, which can accommodate teaching and learning activities with a curriculum that suits future needs. The design method used is in form of design stages, starting from Area Analysis; Investigation of selected sites; Proposed Program;  Design Analysis: Composition of mass and the concept of mass of buildings using the Metaphor Method; Project Zoning; Application of Pattern Language Methods and Structure and Building Materials. The result of this research is an elementary school architectural building that accmodate 21st century learning. Keywords:  creativity; education; metaphorical architecture; pattern langugae;primary school  Abstrak Kemajuan teknologi didunia ditandai dengan adanya peristiwa revolusi industri. Indonesia telah memasuki era revolusi industri 4.0. Peristiwa ini memengaruhi cara masyarakat berhuni, secara perlahan kehidupan kita telah didominasi dengan teknologi dan tidak menutup kemungkinan dimasa depan manusia akan digantikan dengan robot. Lalu, bagaimana kita sebagai manusia menghadapi ini ? yaitu mengembangkan softskill yang tidak bisa digantikan oleh robot melalui pendidikan kita. Pendidikan Indonesia tidak menyiapkan generasi selanjutnya untuk menghadapi perisitiwa ini. Berawal dari kurikulum yang sudah usang, lalu para guru yang takut untuk bereksplorasi dalam mengajar hingga bangunan sekolah yang masih menganut sistem sekolah di abad-19. Lingkup pembahasan laporan ini adalah bagaimana wadah berhuni manusia dimasa depan yaitu kegiatan menuntut ilmu, yaitu bangunan sekolah dasar, yang dapat mewadahi kegiatan pembelajaran dengan kurikulum masa depan. Metode perancangan yang digunakan adalah; a) Analisis Kawasan; b) Investigasi tapak terpilih; c) Usulan program; d) Analisis Perancangan : Gubahan massa dan Konsep Massa bangunan dengan Metode Arsitektur Metafora; d) Penzoningan Pada Proyek; e) Penerapan Metode Bahasa Pola dan f) Struktur dan Material Bangunan. Hasil akhir dari penelitian ini berupa bangunan arsitektur sekolah dasar yang mewadahi kegiatan pembelajaran abad-21.


2011 ◽  
Vol 66-68 ◽  
pp. 1163-1166
Author(s):  
Mao Jun Chen ◽  
Zhong Jin Ni ◽  
Liang Fang

In automated manufacturing systems, one of the most important issues is the detection of tool wear during the machining process. The Hausdorff-Besicovitch (HB) dimension is used to analyze the feature of the surface texture of work-piece in this paper. The value of the fractal dimension of the work-piece surface texture tends to decrease with the machining process, due to the texture becoming more complex and irregular, and the tool wear is also becoming more and more serious. That can describe the inherent relationship between work-piece surface texture and tool wear. The experimental results demonstrate the probability of using the fractal dimension of work-piece surface texture to monitor the tool wear condition.


Sign in / Sign up

Export Citation Format

Share Document