scholarly journals Designing learning-skills towards industry 4.0

2020 ◽  
Vol 11 (2) ◽  
pp. 150-161
Author(s):  
Giovana del Gaudio ◽  
Craig N. Refugio ◽  
Igor Jurcic ◽  
Valentina Della Corte ◽  
Debra Ferdinand James ◽  
...  
Keyword(s):  
Computer Aided Design ◽  
Industry 4.0 ◽  
Raw Material ◽  
Lifelong Learners ◽  
Material Development ◽  
Value Stream ◽  
Communication Space ◽  
Digital Learners ◽  
Aided Design ◽  
Cultural World

The world is shrinking now more than ever due to new scientific and technological breakthroughs that expand the boundaries of human knowledge, resulting in improvements in transportation, communication, space exploration and educational technologies. Today’s students will compete in a technological, diverse, multi-cultural world and must be prepared to thrive in this futuristic environment. Therefore, it is vital that today’s pedagogy produce lifelong learners, who can succeed in a global pulpit. To ensure our educational technology progresses at the rate demanded by today’s ubiquitous digital learners, we review emerging technologies and traditional teaching methods and propose desirable changes. Future companies will need employees with specific Internet of Things connected additive manufacturing skills across the value stream, including computer-aided design, machine operation, raw material development, robotics and supply chain management; but these are only island of excellence in industry 4.0 and not the consummate requirement of the manufacturing process.Keywords: Industry 4.0, IoT, smart teaching, future skills.

scholarly journals Computer aided design of sequencing problem – the concept of Paint Shop 4.0

Mechanik ◽  
2018 ◽  
Vol 91 (7) ◽  
pp. 529-531
Author(s):  
Jolanta Krystek ◽  
Sara Alszer ◽  
Szymon Bysko
Keyword(s):  
Automotive Industry ◽  
Computer Aided Design ◽  
Industry 4.0 ◽  
Paint Shop ◽  
Actual Structure ◽  
New Approach ◽  
Digital Factory ◽  
Sequencing Problem ◽  
Car Body ◽  
Aided Design

Presented is the concept of paint shop operation for the automotive industry – Paint Shop 4.0, based on the ideas of Industry 4.0 and Digital Factory. A new approach to the issue of car body sequencing, taking into account the actual structure of the paint shop department with buffers, has been presented. In the created application, proprietary car body sequencing algorithms were implemented.

scholarly journals Technological Approaches in Applied Social learning

2019 ◽  
Vol 19 ◽  
pp. 7485-7492
Author(s):  
Krishnan Umachandran ◽  
Amuthalakshmi P ◽  
Roosefert Mohan T
Keyword(s):  
Educational Technology ◽  
Student Learning ◽  
Industry 4.0 ◽  
Learning Experience ◽  
Opportunity To Learn ◽  
Lifelong Learners ◽  
Tutoring Systems ◽  
Digital Learners ◽  
Effective Delivery ◽  
Knowledge Content

Industry 4.0 covers the readiness of achieving expertise that impacts the society, strategy, talent and technology. Individual, social and economic demands pose ever-changing challenges for education and training even in today’s world. In spite of the shrinking rapidity, which progressively affects the cognitive, biological, and information offerings into the new insights on people learning, for an effective reformation to an even more miniature of scientific and technological connect, ultimately on the knowledge content. Today’s students will compete in a technological, diverse, multi-cultural world and must be prepared to thrive in that futuristic environment; therefore, it is vital that today’s pedagogy produce lifelong learners, who can succeed in a global arena. To ensure our educational technology progresses at the rate demanded by today’s ubiquitous digital learners, we are reviewing emerging technologies and traditional teaching methods and propose desirable changes. Further enhancement in student learning and outcomes through technology enabled learning builds alliances among institutional units, employers, community partners and provides the effective delivery of learning services and opportunities to students. Technology depends on the cleverness and the innovative application of theoretical tools from control and estimation for scalability through hierarchy and multi-modality. Educational technology enhances the learning experience for students, faculty, the university and community at large. Hence, to develop a richer context for student learning, covering societal inadequacies, injustices in empowerment to learning access among students, cross-cultural involvements, and opportunity to learn, we deliberate on the latest trends in pedagogy - intelligent tutoring systems and ICT integration that can be modified during their implementation to suit future needs for industry 4.0 requirements.

Advantages of Implementing Virtual Reality Tools in Design and Technological Preparation of Production

2021 ◽  
pp. 44-52
Author(s):  
V.V. Yakhrichev
Keyword(s):  
Computer Aided Design ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Design System ◽  
Data Presentation ◽  
Fourth Industrial Revolution ◽  
Digital Modeling ◽  
Virtual And Augmented Reality ◽  
Aided Design ◽  
Modern Technologies

Along with digital modeling, the key modern technologies include virtual (VR) and augmented (AR) reality, the use of which is a prerequisite for the implementation of the fourth industrial revolution, also known as Industry 4.0. However, at Russian enterprises, these tools have not become widespread yet. The paper analyzes the possibility of using the tools of virtual and augmented reality and introduces the available Russian instruments. Practical examples consider the application in this area of — one of them — the VRConcept system — in detail. The availability of support in the VRConcept system for the data presentation format of the domestic computer-aided design system Compass-3D simplifies its implementation and use at the enterprise.

Development of a CAD-CAM Interaction System to Generate a Flexible Machining Process Plan

2015 ◽  
Vol 9 (2) ◽  
pp. 104-114 ◽  
Author(s):  
Mohammad Mi’radj Isnaini ◽  
◽  
Yusaku Shinoki ◽  
Ryuta Sato ◽  
Keiichi Shirase
Keyword(s):  
Computer Aided Design ◽  
3D Models ◽  
Raw Material ◽  
Machining Process ◽  
Machining Time ◽  
Process Plan ◽  
Process Plans ◽  
Computer Aided ◽  
Cad Cam ◽  
Aided Design

A unique machining knowledge has led to several different perspectives between planners and operators as regards in designing a machining process plan. All precedents have shown the need to maintain a suitable machining process plan. Commercial Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) systems have facilitated the manipulation of 3D models to generate a machining process plan. The open Advanced Programming Interfaces (APIs) are also helpful in tailoring decision support systems to determine process plans. This study proposes an emergent system to generate flexible machining process plans. The proposed system considers the integration between design and manufacturing perspective to produce relevant machining process plan. The generation of process plans begins by considering the total removal volume of the raw material, estimating the removal features, thus analyzing and ordering several candidates of machining process plans. The total machining time and number of setups from each machining process plan candidate is analyzed and evaluated. Eventually, the proposed system is tested using several prismatic 3D models of a workpiece to show the outcomes.

Research and Modeling of Blades with Complex Surfaces Based on Laser Rapid Prototyping

2015 ◽  
Vol 667 ◽  
pp. 119-122
Author(s):  
Zhi Bo Yang ◽  
Ai Ju Liu ◽  
Shian Liu
Keyword(s):  
Rapid Prototyping ◽  
Computer Aided Design ◽  
Production Efficiency ◽  
Simple Technique ◽  
Three Dimensional ◽  
Raw Material ◽  
Curved Surface ◽  
Complex Surfaces ◽  
Reducing Costs ◽  
Aided Design

Usually, generating parts with complex surfaces, especially three-dimensional (3D) curved-surface blades, involves difficult designing, complicated manufacturing processes, and low production efficiency. In this study, by integrating 3D curved-surface modeling and the rapid prototyping functions of the pro/E software platform with computer-aided design, layered manufacturing, and material curing technologies, an improved process was realized. The once-challenging fabrication of irregular curved-surface blades was transformed into a simple technique of making planes. By selectively curing the raw material, as demonstrated in this study, complex surfaces can be manufactured rapidly, thus shortening research and development stages of new products, reducing costs, and endowing manufacturers with an improved capacity to research and develop products with greater competence and accuracy .

Prototyping Human-Centered Products in the Age of Industry 4.0

2021 ◽  
pp. 1-15
Author(s):  
Salman Ahmed ◽  
Lukman Irshad ◽  
Onan Demirel
Keyword(s):  
Computer Aided Design ◽  
Industry 4.0 ◽  
Product Development Process ◽  
Digital Human Modeling ◽  
Fidelity Level ◽  
Human Modeling ◽  
Computer Aided ◽  
Aided Design ◽  
Digital Human ◽  
Product Interaction

Abstract Industry 4.0 promises better control of the overall product development process; however, there is a lack of computational frameworks that can inject human factors engineering principles early in design. This shortage is particularly crucial for prototyping of human-centered products where the stakes are high. Thus, a smooth Industry 4.0 transformation requires bringing computational ergonomics into the loop, specifically to address the needs in the digitized prototyping process. In this paper, a computational prototyping approach is explored that focuses on various fidelity levels and different human-product interaction levels when conducting ergonomics assessments. Three computational prototyping strategies were explored, including (1) a digital sketchpad based tool, (2) computer-aided design and digital human modeling based approach, and (3) a combination of computer-aided design, digital human modeling, and surrogate modeling. These strategies are applied to six case studies to perform various ergonomics assessments (reach, vision, and lower-back). It is suggest that designers must determine which fidelity level prototype to employ after applying a trade-off study between the accuracy of the ergonomics outcomes and the available resources. Understanding the intricacies between the fidelity level, type of ergonomic assessment, and human-product interaction level helps designers in getting one step closer to digitizing the human-centered prototyping in meeting Industry 4.0 objectives.

scholarly journals Near net shape manufacturing of metal: A review of approaches and their evolutions

2017 ◽  
Vol 232 (4) ◽  
pp. 650-669 ◽  
Author(s):  
Daniele Marini ◽  
David Cunningham ◽  
Jonathan R Corney
Keyword(s):  
Computer Aided Design ◽  
Material Selection ◽  
Numerical Control ◽  
Raw Material ◽  
Production Volume ◽  
Component Design ◽  
Shaping Process ◽  
Near Net Shape ◽  
Control Technologies ◽  
Aided Design

In the last 30 years, the concept of manufacturability has been applied to many different processes in numerous industries. This has resulted in the emergence of several different “Design for Manufacturing” methodologies which have in common the aim of reducing productions costs through the application of general manufacturing rules. Near net shape technologies have expanded these concepts, targeting mainly primary shaping process, such as casting and forging. The desired outcomes of manufacturability analysis for near net shape processes are cost and lead/time reduction through minimization of process steps (in particular cutting and finishing operations) and raw material saving. Product quality improvement, variability reduction and component design functionality enhancement are also achievable through near net shape optimization. Process parameters, product design and material selection are the changing variables in a manufacturing chain that interact in complex, non-linear ways. Consequently, modeling and simulation play important roles in the investigation of alternative approaches. However, defining the manufacturing capability of different processes is also a “moving target” because the various near net shape technologies are constantly improving and evolving so there is challenge in accurately reflecting their requirements and capabilities. In the last decade, for example, computer-aided design, computer numerical control technologies and innovation in materials have impacted enormously on the development of near net shape technologies. This article reviews the different methods reported for near net shape manufacturability assessment and examines how they can make an impact on cost, quality and process variability in the context of a specific production volume. The discussion identifies a lack of structured approaches, poor connection with process optimization methodologies and a lack of empirical models as gaps in the reported approaches.

scholarly journals Additive Manufacturing in Off-Site Construction: Review and Future Directions

Buildings ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 53
Author(s):  
Jubert Pasco ◽  
Zhen Lei ◽  
Clodualdo Aranas
Keyword(s):  
Additive Manufacturing ◽  
Computer Aided Design ◽  
Value Stream Mapping ◽  
Layer By Layer ◽  
Form Complex ◽  
Value Stream ◽  
Layer Deposition ◽  
Complex Shapes ◽  
Aided Design ◽  
Construction Efficiency

Additive manufacturing (AM) is one of the pillars of Industry 4.0 to attain a circular economy. The process involves a layer-by-layer deposition of material from a computer-aided-design (CAD) model to form complex shapes. Fast prototyping and waste minimization are the main benefits of employing such a technique. AM technology is presently revolutionizing various industries such as electronics, biomedical, defense, and aerospace. Such technology can be complemented with standardized frameworks to attract industrial acceptance, such as in the construction industry. Off-site construction has the potential to improve construction efficiency by adopting AM. In this paper, the types of additive manufacturing processes were reviewed, with emphasis on applications in off-site construction. This information was complemented with a discussion on the types and mechanical properties of materials that can be produced using AM techniques, particularly metallic components. Strategies to assess cost and material considerations such as Production line Breakdown Structure (PBS) and Value Stream Mapping are highlighted. In addition, a comprehensive approach that evaluates the entire life cycle of the component was suggested when comparing AM techniques and conventional manufacturing options.

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