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Time Estimation for Additive Manufacturing

Time Estimation for Additive Manufacturing
Author: Mina Amini
Publisher:
Total Pages: 176
Release: 2014
Genre: Industrial efficiency
ISBN:
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The focus of this thesis is to build parametric model for time estimation in AM process. AM technology is increasingly becoming more efficient, available, and affordable. However, it is not yet as efficient as many traditional manufacturing processes such as casting and molding particularly when it comes to high volume production. Therefore, users should be provided with standard time and cost models such that they can conduct a comparative analysis when selecting manufacturing processes. The objective of this thesis is to identify the most influential geometric parameters that drive the overall print time and develop an empirical model for print time estimation. Also, the impact of geometric complexity on the print time is studied. For this purpose, multiple parts with different features and complexities are modeled in a CAD package. The parts are then made by the 3D printer and the print time is measured. Also, for collecting more data rapidly, print simulation is used. Multi-variable regression is used to determine the most influential parameters and the standard model for time estimation is generated accordingly. Eventually, the model is validated through comparing the generated estimates with the actual times measured on the 3D printer. The scope of this model is limited to particular part sizes and geometries. A secondary objective of this thesis is to conduct a predictive analysis about the future of the 3D printing technologies in different industries and applications. 3D printing technology has already demonstrated significant impacts in different industries sectors and will continue to be a game-changing technology in the years to come as the technology evolves.

Fundamentals of Additive Manufacturing for the Practitioner

Fundamentals of Additive Manufacturing for the Practitioner
Author: Sheku Kamara
Publisher: John Wiley & Sons
Total Pages: 192
Release: 2021-04-21
Genre: Technology & Engineering
ISBN: 1119750504
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Fundamentals of Additive Manufacturing for the Practitioner Discover how to shift from traditional to additive manufacturing processes with this core resource from industry leaders Fundamentals of Additive Manufacturing for the Practitioner delivers a vital examination of the methods and techniques needed to transition from traditional to additive manufacturing. The book explains how traditional manufacturing work roles change as various industries move into additive manufacturing and describes the flow of the typical production process in additive manufacturing. Detailed explorations of the processes, inputs, machine and build preparation, post-processing, and best practices are included, as well as real-world examples of the principles discussed within. Every chapter includes a problems and opportunities section that prompts readers to apply the book’s techniques to their own work. Diagrams and tables are distributed liberally throughout the work to present concepts visually, and key options and decisions are highlighted to assist the reader in understanding how additive manufacturing changes traditional workflows. Readers will also benefit from the inclusion of A thorough introduction on how to move into additive manufacturing, including the identification of a manufacturing opportunity and its characteristics An exploration of how to determine if additive manufacturing is the right solution, with descriptions of the origins of additive manufacturing and the current state of the technology An examination of the materials used in additive manufacturing, including polymers, composites, metals, plasters, and biomaterials A discussion of choosing an additive manufacturing technology and process Perfect for mechanical engineers, manufacturing professionals, technicians, and designers new to additive manufacturing, Fundamentals of Additive Manufacturing for the Practitioner will also earn a place in the libraries of technical, vocational, and continuing education audiences seeking to improve their skills with additive manufacturing workflows.

Special Issue of the Manufacturing Engineering Society 2019 (SIMES-2019)

Special Issue of the Manufacturing Engineering Society 2019 (SIMES-2019)
Author: Eva M. Rubio
Publisher: MDPI
Total Pages: 534
Release: 2020-07-03
Genre: Technology & Engineering
ISBN: 3039363603
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This book derives from the Special Issue of the Manufacturing Engineering Society 2019 (SIMES-2019) that has been launched as a joint issue of the journals Materials and Applied Sciences. The 29 contributions published in this Special Issue of Materials present cutting-edge advances in the field of manufacturing engineering focusing on additive manufacturing and 3D printing; advances and innovations in manufacturing processes; sustainable and green manufacturing; manufacturing of new materials; metrology and quality in manufacturing; industry 4.0; design, modeling, and simulation in manufacturing engineering; and manufacturing engineering and society. Among them, the topic "Additive Manufacturing and 3D Printing" has attracted a large number of contributions in this journal due to its widespread popularity and potential.

A Comprehensive Cost Estimation for Additive Manufacturing

A Comprehensive Cost Estimation for Additive Manufacturing
Author: Zohreh Lamei
Publisher:
Total Pages: 57
Release: 2021
Genre: Electronic dissertations
ISBN:
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Additive Manufacturing (AM) is an emerging manufacturing method by which Computer-Aided Design (CAD) models are directly made into products and structures. Layers of material, such as polymers, metals, ceramics, composites, and rubber, are formed and joined layer by layer to construct the product. Since its introduction in the 1980s, the technology has evolved from the confines of Rapid Prototyping (RP) to the realm of manufacturing. Nowadays, with contributions from material scientists, software, and hardware engineers, the technology can construct fully functional products. AM allows engineers to explore innovative design ideas without the restrictions imposed by traditional manufacturing methods. It has been utilized in many industry subsectors including aerospace, automotive, machinery, electronics, and medical products. However, the cost is an important factor in utilizing this technology. A review of the models for calculating cost of products built using AM technology has shown that each of these cost models are focused on specific AM systems. The most comprehensive of which does not account for several major elements including AM material depreciation, process control, final product testing, and the material consumed during construction and post-processing stages. These are critical cost elements which have substantial contribution to overall manufacturing cost. A mathematical cost model to include all these ignored cost elements has been proposed in this study. Model formulation is provided to include all the pre-processing, processing, and post-processing costs. For illustration, numerical example from industry is provided with which the developed formulation is applied to. The formulation described in this research provides a comprehensive cost model that can be applied to all AM systems.

Fundamentals of Additive Manufacturing

Fundamentals of Additive Manufacturing
Author: Helmi Youssef
Publisher: CRC Press
Total Pages: 452
Release: 2024-09-06
Genre: Technology & Engineering
ISBN: 1040111769
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Additive manufacturing (AM) is a manufacturing process that has emerged as a viable technology for the production of engineering components. The aspects associated with additive manufacturing, such as less material wastage, ease of manufacturing, less human involvement, fewer tool and fixture requirements, and less post-processing, make the process sustainable for industrial use. Further, this new technology has led to highly optimized product characteristics and functional aspects. This textbook introduces the basics of this new additive manufacturing technology to individuals who will be involved in the grand spectrum of manufacturing finished products. Fundamentals of Additive Manufacturing Technology: Principles, Technologies, and Applications provides knowledge and insight into various aspects of AM and deals with the basics, categories, materials, tooling, and equipment used. It presents a classified and complete description of the most common and recently developed additive manufacturing methods with applications, solved examples, and review questions. This textbook also emphasizes the fundamentals of the process, its capabilities, typical applications, advantages, and limitations, and also discusses the challenges, needs, and general recommendations for additive manufacturing. This fundamental textbook is written specifically for undergraduates in manufacturing, mechanical, industrial, and materials engineering disciplines for courses in manufacturing technology taught in engineering colleges and institutions all over the world. It also covers the needs of production and manufacturing engineers and technologists participating in related industries. Additionally, the textbook can be used by students in other disciplines concerned with design and manufacturing, such as automotive, biomedical, and aerospace engineering.

Additive Manufacturing – Developments in Training and Education

Additive Manufacturing – Developments in Training and Education
Author: Eujin Pei
Publisher: Springer
Total Pages: 229
Release: 2018-06-30
Genre: Technology & Engineering
ISBN: 331976084X
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This book provides an overview of training and teaching methods, as well as education strategies, for Additive Manufacturing (AM) and its application in different business sectors. It presents real-world applications and case studies to demonstrate the key practical and theoretical fundamentals of AM training, written by international experts from the field. Additive Manufacturing is a rapidly developing technology, and having a well-trained workforce is essential. Accordingly, readers are introduced to new training approaches and recent breakthroughs that can facilitate and accelerate the design, application and implementation of AM. The book’s contributors discuss many topics to provide readers a fundamental grasp of AM, including: · collaboration among educational bodies, and between industry and governments; · strategies for implementing AM training; · new teaching methods; · training programs that provide alternative employment choices; · the need for certification by professional bodies; and · promoting awareness of AM in society. This book offers an excellent source of information for researchers and industrial engineers who are interested in expanding their AM expertise, and learning how to implement it. It will also be of interest to readers who want to learn about the practicalities of adopting training and teaching for AM.

Machine Learning for Powder-Based Metal Additive Manufacturing

Machine Learning for Powder-Based Metal Additive Manufacturing
Author: Gurminder Singh
Publisher: Elsevier
Total Pages: 291
Release: 2024-11-01
Genre: Technology & Engineering
ISBN: 0443221464
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Machine Learning for Powder-based Metal Additive Manufacturing outlines machine learning (ML) methods for additive manufacturing (AM) of metals that will improve product quality, optimize manufacturing processes, and reduce costs. The book combines ML and AM methods to develop intelligent models that train AM techniques in pre-processing, process optimization, and post-processing for optimized microstructure, tensile and fatigue properties, and biocompatibility for various applications. The book covers ML for design in AM, ML for materials development and intelligent monitoring in metal AM, both geometrical deviation and physics informed machine learning modeling, as well as data-driven cost estimation by ML. In addition, optimization for slicing and orientation, ML to create models of materials for AM processes, ML prediction for better mechanical and microstructure prediction, and feature extraction by sensing data are all covered, and each chapter includes a case study. Covers machine learning (ML) methods for additive manufacturing (AM) of metals that will improve product quality, optimize manufacturing processes, and reduce costs Combines ML and AM methods to develop intelligent models that train AM techniques in pre-processing, process optimization, and post-processing for optimized microstructure, tensile and fatigue properties, and biocompatibility for various applications Discusses algorithm development of ML for metal AM, metal AM process modeling and optimization, mathematical and simulation studies of metal AM, and pre- and post-processing smart methods for metal AM

Optimization of Industrial Systems

Optimization of Industrial Systems
Author: Dilbagh Panchal
Publisher: John Wiley & Sons
Total Pages: 628
Release: 2022-07-19
Genre: Technology & Engineering
ISBN: 1119755050
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OPTIMIZATION of INDUSTRIAL SYSTEMS Including the latest industrial solution-based practical applications, this is the most comprehensive and up-to-date study of the optimization of industrial systems for engineers, scientists, students, and other professionals. In order to deal with societal challenges, novel technologies play an important role. For the advancement of technology, it is essential to share innovative ideas and thoughts on a common platform where researchers across the globe meet together and revitalize their knowledge and skills to tackle the challenges that the world faces. The high complexity of the issues related to societal interdisciplinary research is the key to future revolutions. From research funders to journal editors, policymakers to think tanks, all seem to agree that the future of research lies outside disciplinary boundaries. In such prevailing conditions, various working scenarios, conditions, and strategies need to be optimized. Optimization is a multidisciplinary term, and its essence can be inculcated in any domain of business, research, and other associated working dynamics. Globalization provides all-around development, and this development is impossible without technological contributions. This volume’s mission is at the core of industrial engineering. All the manuscripts appended in this volume were double-blind peer-reviewed by committee members and the review team, promising high-quality research. This book provides deep insights to its readers about the current scenarios and future advancements of industrial engineering.

Cost Estimation of Layer Additive Manufacturing Using Break-down Approach

Cost Estimation of Layer Additive Manufacturing Using Break-down Approach
Author: Aditya Mahadik
Publisher:
Total Pages:
Release: 2018
Genre: Costs, Industrial
ISBN:
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Cost estimation of additive manufacturing is helpful for designers and engineers at the preliminary design stage to understand the cost impact of alternative designs. There are several models of cost estimation of additive manufacturing, but most of them require detailed information to provide precise cost estimation. This research develops a methodology for cost estimation of parts produced by additive manufacturing using limited number of primary user input parameters. The break-down approach is used to calculate the total cost which is the addition of the cost components: machine, material, labor, and post-processing.

Industrial Transformation

Industrial Transformation
Author: Om Prakash Jena
Publisher: CRC Press
Total Pages: 424
Release: 2022-05-09
Genre: Technology & Engineering
ISBN: 1000567079
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This book focuses on industrial development, design, implementation, and transformation using technologies such as Artificial Intelligence, Machine Learning, the Internet of Things (IoT), Big Data Analysis, and Blockchain. It incorporates complex processes, functions, and various other elements as one central component of digital systems. Industrial Transformation: Implementation and Essential Components and Processes of Digital Systems discusses the industry transformation aligned with the computerization of manufacturing and the required skills needed to build a new workforce. This book covers the role that AI plays in the management of resource flow and decision-making in the transformation of operations, as well as supply chain management. It presents sustainability and efficiency with IoT, Machine Learning, Data Analysis, and Blockchain technologies as it focuses on industrial development, design, and implementation. This book showcases the incorporation of complex processes and functions as one central component of digital systems and explores current trends that are working to accelerate industrial transformation. Case studies are also included, depicting the technologies that are influencing the transition into the fourth Industrial Revolution, such as industrial infrastructure, biodiversity, and enhanced productivity. This book is aimed at researchers, scholars, and students that require real-time knowledge and applications where the transformation and implementation of digital systems in the manufacturing sector are needed.