scholarly journals Industry 4.0: Challenges of Mechanical Engineering for Society and Industry

2021 ◽  
Vol 1 (1) ◽  
pp. 3-6
Author(s):  
Muji Setiyo ◽  
Tuessi Ari Purnomo ◽  
Dori Yuvenda ◽  
Muhammad Kunta Biddinika ◽  
Nor Azwadi Che Sidik ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Mechanical Engineering ◽  
Materials Science ◽  
The Other ◽  
Intelligent Sensors ◽  
Engineering Mathematics ◽  
Scientific Disciplines ◽  
Engineering Problems ◽  
Complex Engineering

Today, in the industry 4.0 era, the boundaries of scientific disciplines are blurred, everything seems to be interrelated and shows the ability to be combined. Intelligent sensors combined with Artificial Intelligence (AI) have demonstrated their ability to influence processes, design, and maintenance in manufacturing systems. Mechanical engineering tasked with solving complex engineering problems must be able to adapt to this transformation, especially in the use of digital and IT to combine the principles of physics and engineering mathematics with materials science to design, analyze, manufacture, and maintain mechanical systems. On the other hand, mechanical engineering must also contribute to a better future life. Therefore, one of the keys to consistently playing a role is to think about sustainability, in order to provide benefits for society and industry, in any industrial era.

Conversion From Traditional Manufacturing to Digital Manufacturing, an Industry 4.0 Application in Furniture Making

2020 ◽  
Author(s):  
Angran Xiao ◽  
Mason Chen ◽  
Gaffar Gailani ◽  
Andy Zhang
Keyword(s):  
Special Needs ◽  
Market Share ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
The Other ◽  
Digital Manufacturing ◽  
Work In Progress ◽  
Product Customization ◽  
Traditional Manufacturing ◽  
Medium Enterprises

Abstract The concept of Industry 4.0 was presented to upgrade the manufacturing systems of large enterprises or even countries. Although some implementation paradigms and frameworks for implementation have been developed, only a minute selection suit the special needs and characteristics of small to medium enterprises (SME’s). On the other hand, SME’s account for a significant market share of the economy, and are in great needs to modernize and diversity their manufacturing capabilities in order to remain competitive in today’s marketplace. In this paper, we present a framework for implementing Industry 4.0 in SME’s. As a work in progress, the product customization and manufacturing sections of the aforementioned framework are being implemented, which are being utilized by a local furniture maker for a custom order of wooden bookcases.

scholarly journals Examination of Waste Management in Printing Industries using Electre-I Method

2019 ◽  
Vol 8 (4S2) ◽  
pp. 284-288
Keyword(s):  
Risk Factors ◽  
Waste Management ◽  
The Other ◽  
Multi Criteria Decision Making ◽  
Printing Industry ◽  
Engineering Problems ◽  
Electre I ◽  
Complex Engineering ◽  
Mcdm Method ◽  
Very High

In daily life, waste management is considered as one of the biggest issue faced by printing industry. When comparing with the other industries, the risk factors involved in printing industries are very high. Hence, it is necessary to find out the critical risk factors involved in waste management. In order to analyse this problem, Elimination and Choice Translating Reality (ELECTRE)-I, a Multi-Criteria Decision Making (MCDM) method is utilized. ELECTRE-I method is capable of providing solutions for the complex engineering problems. The ELECTRE-I is used to rank the printing industries associated with risk factors in waste management in printing industries. The result obtained will be helpful for the managers and practitioners working in printing industries.

scholarly journals Open Source Control Device for Industry 4.0 Based on RAMI 4.0

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 869
Author(s):  
Pablo F. S. Melo ◽  
Eduardo P. Godoy ◽  
Paolo Ferrari ◽  
Emiliano Sisinni
Keyword(s):  
Open Source ◽  
Industry 4.0 ◽  
Product Life Cycle ◽  
Manufacturing Systems ◽  
Industrial Revolution ◽  
Control Device ◽  
Source Control ◽  
Reference Architecture ◽  
Architecture Model ◽  
Complex Relationships

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.

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.

A Novel Paradigm for Engineering Education: Virtual Internships With Individualized Mentoring and Assessment of Engineering Thinking

2015 ◽  
Vol 137 (2) ◽  
Author(s):  
Naomi C. Chesler ◽  
A. R. Ruis ◽  
Wesley Collier ◽  
Zachari Swiecki ◽  
Golnaz Arastoopour ◽  
...  
Keyword(s):  
Engineering Education ◽  
First Year ◽  
Collaborative Environment ◽  
Large Numbers ◽  
Engineering Problems ◽  
Complex Engineering ◽  
Potential Impact

Engineering virtual internships are a novel paradigm for providing authentic engineering experiences in the first-year curriculum. They are both individualized and accommodate large numbers of students. As we describe in this report, this approach can (a) enable students to solve complex engineering problems in a mentored, collaborative environment; (b) allow educators to assess engineering thinking; and (c) provide an introductory experience that students enjoy and find valuable. Furthermore, engineering virtual internships have been shown to increase students'—and especially women's—interest in and motivation to pursue engineering degrees. When implemented in first-year engineering curricula more broadly, the potential impact of engineering virtual internships on the size and diversity of the engineering workforce could be dramatic.

How Well Prepared are Students for Undergraduate Engineering Mathematics?

1995 ◽  
Vol 23 (4) ◽  
pp. 352-362 ◽  
Author(s):  
Duncan A. Lawson
Keyword(s):  
Diagnostic Test ◽  
Mechanical Engineering ◽  
Test Results ◽  
Mathematical Competence ◽  
Rule Of Thumb ◽  
Undergraduate Engineering ◽  
Engineering Mathematics ◽  
Level 3

Many universities admit students to degree courses in mechanical engineering from a wide variety of backgrounds. The majority enter with a study of A level mathematics. An increasing proportion enter having previously studied for BTEC qualifications. The conventional rule of thumb which is used is that BTEC level 3 is equivalent to A level. In this paper this rule of thumb is examined by comparing the performance of A level and BTEC students in a diagnostic test, taken at the start of their course, and the results of the end-of-year examination. The results of students entering the mechanical engineering stream of degree courses at Coventry University in 1991 and 1992 are used to provide the data for this study. The diagnostic test results also show the key areas of weakness in the level of mathematical competence of many students on entry to universities.

Sign in / Sign up

Export Citation Format

Share Document