Download or read book Process Parameter Optimization with Numerical Modelling and Experimentation Design of Binder Jet Additive Manufacturing written by Sairam Vangapally and published by . This book was released on 2017 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: Binder jetting technology is an additive manufacturing technology in which powder materials are binded together layer by layer forming the product from input CAD model. The process involves printing the product layer by layer, curing and sintering. The mechanical properties of 3D printed samples varies based on process parameters, hence there is a need to tune the process parameters for optimal characteristics. Three main parameters namely layer thickness, sintering time and sintering temperature were identified and the study focuses on the effect of parameters on dimensional accuracy and compressive strength of the samples. Full factorial experimental approach was used to conduct the experiments and analysis of variance was performed to determine the significance of parameters. Along with parameters optimization, feed forward back propagation artificial neural network model is developed to quantify the relationship between three parameters and compressive strength, the model is developed based on experimental data and validated with known data. Also, Compressive behavior of four lattice designs considered in the study were simulated by finite element analysis and numerical results were compared with experimental data in order to validate the finite element model. FE models of different lattice designs were developed from experimental test data using ANSYS and the simulated compressive behavior is compared to that experimental compression test results.
Download or read book A Process Modelling and Parameters Optimization and Recommendation System for Binder Jetting Additive Manufacturing Process written by Han Chen and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Binder Jetting (BJ) process is an Additive Manufacturing (AM) process in which powder materials are selectively joined by binder materials. Products can be manufactured layer by layer directly from 3D model data. It is not always easy for manufacturing engineers to choose proper BJ process parameters to meet the end-product quality and fabrication time requirements. This is because the quality properties of the products fabricated by the BJ process are significantly affected by the process parameters. The relationships between process parameters and quality properties are also very complicated. It is because the BJ AM process involves many different disciplines and physics theories, such as 3D computer graphics, Computer Numerical Control (CNC), metallurgy theory, materials science and chemistry, etc. In this research, a process model is developed by the Backward Propagation (BP) Neural Network (NN) algorithm based on 16 groups of orthogonal experiments designed by the Taguchi Method to express the relationships between 4 key process parameters and 2 key quality properties. The results are also converted to Signal-to-Noise (S/N) ratios and analyzed by the Analysis of Variance (ANOVA). An intelligent parameters recommendation system is developed to predict end-product quality properties and printing time with a given design. It can recommend process parameters based on the quality requirements. Some physical interpretations are introduced to explain the experiment results. 4 different sets of optimal parameters are concluded. They are verified by 4 groups of confirmation tests as well. A case study of an aircraft engine bracket is also conducted to verify the proposed system. The research outcome can be used as a guideline for selecting the proper printing parameters to achieve the desired properties and help to improve the quality control of components fabricated by the BJ AM process." --
Download or read book Additive Manufacturing Technology written by Kun Zhou and published by John Wiley & Sons. This book was released on 2023-02-28 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Highly comprehensive resource covering all key aspects of the current developments of additive manufacturing Additive Manufacturing Technology: Design, Optimization, and Modeling provides comprehensive and in-depth knowledge of the latest advances in various additive manufacturing technologies for polymeric materials, metals, multi-materials, functionally graded materials, and cell-laden bio-inks. It also details the application of numerical modeling in facilitating the design and optimization of materials, processes, and printed parts in additive manufacturing. The topics covered in this book include: Fundamentals and applications of 4D printing, 3D bioprinting of cell-laden bio-inks, and multi-material additive manufacturing Alloy design for metal additive manufacturing, mechanisms of metallurgical defect formation, and the mechanical properties of printed alloys Modified inherent strain method for the rapid prediction of residual stress and distortion within parts fabricated by additive manufacturing Modeling of the different stages in polymer and metal additive manufacturing processes, including powder spreading, melting, and thermal stress evolution By providing extensive coverage of highly relevant concepts and important topics in the field of additive manufacturing, this book highlights its essential role in Industry 4.0 and serves as a valuable resource for scientists, engineers, and students in materials science, engineering, and biomedicine.
Download or read book Numerical Modelling and Optimization in Advanced Manufacturing Processes written by Chander Prakash and published by Springer Nature. This book was released on 2022-05-26 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents different numerical modeling and nature-inspired optimization methods in advanced manufacturing processes for understanding the process characteristics. Particular emphasis is devoted to applications in non-conventional machining, nano-finishing, precision casting, porous biofabrication, three-dimensional printing, and micro-/nanoscale modeling. The book includes practical implications of empirical, analytical, and numerical models for predicting the vital output responses. Especial attention is given to finite element methods (FEMs) for understanding the design of novel highly complex engineering products, their performances, and behaviors under simulated processing conditions.
Download or read book Innovative Product Development by Additive Manufacturing 2022 written by Roland Lachmayer and published by Springer Nature. This book was released on 2023-03-07 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book consists of a collection of papers from a corresponding conference regarding additive manufacturing. The yearly conference used to be held in German under the title "Konstruktion für die Additive Fertigung" and is held in English since last year. The topics are Specifications, potentials, and solutions Contributions to specifications on components and processes and methods for assessing the suitability of components and the application of additive manufacturing and finding solutions for concepts and design Design and optimization Contributions to the development and design of components, their design to ensure functional requirements and manufacturability, and methods and tools for optimization components Simulation, validation, and quality assurance Contributions to approaches for the computer-aided and physical validation of components, the testing of components and material, and measures to ensure quality aspects Process chain and business models Contributions to their integration of additive manufacturing processes into existing processes and measures to increase value creation and the creation of new business models.
Download or read book Additive Manufacturing of High performance Metals and Alloys written by Igor Shishkovsky and published by BoD – Books on Demand. This book was released on 2018-07-11 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Freedoms in material choice based on combinatorial design, different directions of process optimization, and computational tools are a significant advantage of additive manufacturing technology. The combination of additive and information technologies enables rapid prototyping and rapid manufacturing models on the design stage, thereby significantly accelerating the design cycle in mechanical engineering. Modern and high-demand powder bed fusion and directed energy deposition methods allow obtaining functional complex shapes and functionally graded structures. Until now, the experimental parametric analysis remains as the main method during AM optimization. Therefore, an additional goal of this book is to introduce readers to new modeling and material's optimization approaches in the rapidly changing world of additive manufacturing of high-performance metals and alloys.
Download or read book Advances in Mathematics for Industry 4 0 written by Mangey Ram and published by Academic Press. This book was released on 2020-10-02 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Mathematics for Industry 4.0 examines key tools, techniques, strategies, and methods in engineering applications. By covering the latest knowledge in technology for engineering design and manufacture, chapters provide systematic and comprehensive coverage of key drivers in rapid economic development. Written by leading industry experts, chapter authors explore managing big data in processing information and helping in decision-making, including mathematical and optimization techniques for dealing with large amounts of data in short periods. Focuses on recent research in mathematics applications for Industry 4.0 Provides insights on international and transnational scales Identifies mathematics knowledge gaps for Industry 4.0 Describes fruitful areas for further research in industrial mathematics, including forthcoming international studies and research
Download or read book Novel Efficient Global Optimization and Simulation Methods Applied to Additive Manufacturing Process Design written by Long Wang (Ph. D. in aerospace engnieering) and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Additive manufacturing (AM) or three-dimensional (3D) printing has become one of the most promising commercial manufacturing techniques. Benefits of AM include delivery savings as parts are made on-site, lower environmental wastes with less warehousing, and (in some cases) improved product quality and performance. The current knowledge and technology for metal AM thermal, stress, and strain prediction is mainly driven by numerical methods such as FEM, which limit the calculation of the stress and strain in a mesh-dependent setting and limit the computational efficiency of the analysis. We employ a Discrete Source Model (DSM), which estimates the thermal field independent of mesh. The effect of heat source parameters on the predicted melting pool geometry has been studied using a double-elliptical version of DSM. The parameters of our DSM model are validated with experimental data and compared the model with a model proposed previously known as “the point source model” for melt pool geometry estimations. Then, we propose a mesh-independent thermal and residual stress estimation method for the metal additive manufacturing process. We also compare McDowell and radial return method for updating plastic stress rate for the residual stress estimation process. The above method enables fast in-process estimation of stress and strain of the part. Methods based on Gaussian Stochastic Process (GSP) models and Expected Improvement (EI) functions have been promising for box-constrained expensive optimization problems. These include robust d4esign problems with environmental variables having set-type constraints. However, the methods that combine GSP and EI sub-optimizations suffer from the following problem, limiting their computational performance. Efficient Global Optimization (EGO) methods often repeat the same or nearly the same experimental points. We present a novel EGO-type constraint-handling method that maintains a so-called “tabu list” to avoid past points. Our method includes two types of penalties for the key “infill” optimization, which selects the subsequent test runs. We benchmark our Tabu EGO algorithm with five alternative approaches, including DIRECT methods using nine test problems and two engineering examples. We consider both deterministic and “noisy” simulation optimization problems. The engineering examples are based on additive manufacturing process parameter optimization using point-based thermal simulations and robust-type quality constraints. Our test problems span unconstrained, simply constrained, and robust constrained problems. The comparative results imply that Tabu EGO offers promising computational performance for all types of black-box optimization in terms of convergence speed and the quality of the final solutions.
Download or read book Springer Handbook of Additive Manufacturing written by Eujin Pei and published by Springer Nature. This book was released on 2023-11-25 with total page 994 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Handbook is the ultimate definitive guide that covers key fundamentals and advanced applications for Additive Manufacturing. The Handbook has been structured into seven sections, comprising of a thorough Introduction to Additive Manufacturing; Design and Data; Processes; Materials; Post-processing, Testing and Inspection; Education and Training; and Applications and Case Study Examples. The general principles and functional relationships are described in each chapter and supplemented with industry use cases. The aim of this book is to help designers, engineers and manufacturers understand the state-of-the-art developments in the field of Additive Manufacturing. Although this book is primarily aimed at students and educators, it will appeal to researchers and industrial professionals working with technology users, machine or component manufacturers to help them make better decisions in the implementation of Additive Manufacturing and its applications.
Download or read book Towards Design Automation for Additive Manufacturing written by Anton Wiberg and published by Linköping University Electronic Press. This book was released on 2019-10-14 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent decades, the development of computer-controlled manufacturing by adding materiallayer by layer, called Additive Manufacturing (AM), has developed at a rapid pace. The technologyadds possibilities to the manufacturing of geometries that are not possible, or at leastnot economically feasible, to manufacture by more conventional manufacturing methods. AMcomes with the idea that complexity is free, meaning that complex geometries are as expensiveto manufacture as simple geometries. This is partly true, but there remain several design rulesthat needs to be considered before manufacturing. The research field Design for Additive Manufacturing(DfAM) consists of research that aims to take advantage of the possibilities of AMwhile considering the limitations of the technique. Computer Aided technologies (CAx) is the name of the usage of methods and software thataim to support a digital product development process. CAx includes software and methodsfor design, the evaluation of designs, manufacturing support, and other things. The commongoal with all CAx disciplines is to achieve better products at a lower cost and with a shorterdevelopment time. The work presented in this thesis bridges DfAM with CAx with the aim of achieving designautomation for AM. The work reviews the current DfAM process and proposes a new integratedDfAM process that considers the functionality and manufacturing of components. Selectedparts of the proposed process are implemented in a case study in order to evaluate theproposed process. In addition, a tool that supports part of the design process is developed. The proposed design process implements Multidisciplinary Design Optimization (MDO) witha parametric CAD model that is evaluated from functional and manufacturing perspectives. Inthe implementation, a structural component is designed using the MDO framework, which includesComputer Aided Engineering (CAE) models for structural evaluation, the calculation ofweight, and how much support material that needs to be added during manufacturing. Thecomponent is optimized for the reduction of weight and minimization of support material,while the stress levels in the component are constrained. The developed tool uses methodsfor high level Parametric CAD modelling to simplify the creation of parametric CAD modelsbased on Topology Optimization (TO) results. The work concludes that the implementation of CAx technologies in the DfAM process enablesa more automated design process with less manual design iterations than traditional DfAM processes.It also discusses and presents directions for further research to achieve a fully automateddesign process for Additive Manufacturing.
Download or read book Advances in Pre and Post Additive Manufacturing Processes written by Naveen Mani Tripathi and published by CRC Press. This book was released on 2024-06-18 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides knowledge about the process of creating and designing products based on an Industry 4.0 setting. The fundamentals of Additive Manufacturing, its many technologies, the process parameters, advantages, limitations, and recent developments are discussed. In addition, the most recent post-additive manufacturing process advancements, surface quality defects, and challenges are the primary topics that will be investigated in the book. Advances in Pre- and Post-Additive Manufacturing Processes: Innovations and Applications provides scientific and technological insights into the physical fundamentals of the machining and finishing processes in macro, micro, and nanoscales. It explores in a systematic way both conventional and unconventional material-shaping processes with various modes of hybridization concerning theory modelling and industrial potential. It focuses on the applications of Additive Manufacturing that are linked to pre-stage and post-stage processes and encompasses a broad spectrum of macro, micro, and nano-processes that are utilized in manufacturing activities. The book goes on to cover a wide range of reliable and economical fabrication of metallic parts with complicated geometries which are of considerable interest to the aerospace, medical, automotive, tooling, and consumer products industries. This reference title encapsulates the current trends of today’s material development and machining techniques for advanced composite materials, making it a one-stop resource for academic researchers and industrial firms while they are formulating strategic development strategies. It also serves as a reference book for students at all levels of education, from undergraduates to doctoral candidates.
Download or read book Material Forming Processes written by Bouchaib Radi and published by John Wiley & Sons. This book was released on 2016-10-03 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Manufacturing industries strive to improve the quality and reliability of their products, while simultaneously reducing production costs. To do this, modernized work tools must be produced; this will enable a reduction in the duration of the product development cycle, optimization of product development procedures, and ultimately improvement in the productivity of design and manufacturing phases. Numerical simulations of forming processes are used to this end, and in this book various methods and models for forming processes (including stamping, hydroforming and additive manufacturing) are presented. The theoretical and numerical advances of these processes involving large deformation mechanics on the basis of large transformations are explored, in addition to the various techniques for optimization and calculation of reliability. The advances and techniques within this book will be of interest to professional engineers in the automotive, aerospace, defence and other industries, as well as graduates and undergraduates in these fields.
Download or read book Advances in Additive Manufacturing Materials Processes and Applications written by Tarek Mabrouki and published by Springer Nature. This book was released on 2023-11-03 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on research and developments in the field of 3D printing, with a special emphasis on methods to analyse the products of additive manufacturing, and optimize different steps of the manufacturing process. Gathering selected contributions to the 2nd Advances in Additive Manufacturing Conference (AIAM' 2023), held on Mai 18-20, 2023, in Hammamet, Tunisia, this book covers a variety of topics, including: analysis of microstructure and material behavior, numerical simulation and model techniques for optimization of manufacturing processes, machine learning for quality control and automated monitoring, among others. Offering a good balance of fundamental research and industrially relevant findings, this book provides researchers and professionals with a timely snapshot of and extensive information on current developments in the field and a source of inspiration for future research and collaboration.
Download or read book Additive Manufacturing written by Pulak Mohan Pandey and published by CRC Press. This book was released on 2023-02-06 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text explores the development, use, and effect of additive manufacturing and digital manufacturing technologies for diverse applications. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including industrial, manufacturing, and materials science. This book: Discusses the application of 3D virtual models to lasers, electron beams, and computer-controlled additive manufacturing machines Covers applications of additive manufacturing in diverse areas including healthcare, electronics engineering, and production engineering Explains the use of additive manufacturing for biocomposites and functionally graded materials Highlights rapid manufacturing of metallic components using 3D printing Illustrates production and optimization of dental crowns using additive manufacturing This book covers recent developments in manufacturing technology, such as additive manufacturing, 3D printing, rapid prototyping, production process operations, and manufacturing sustainability. The text further emphasizes the use of additive manufacturing for biocomposites and functionally graded materials. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, automotive engineering, aerospace engineering, and materials science.
Download or read book Additive Manufacturing written by Emrah Celik and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-07-06 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers additive manufacturing of polymers, metals, ceramics, fiber reinforced polymer composites, energy harvesting materials, and biomaterials. Hybrid manufacturing is discussed. Topology optimization methodology is described and finite element software examples are provided. The book is ideal for graduate students and career starters in the industry.
Download or read book Additive Manufacturing of High performance Metals and Alloys Modeling and Optimization written by Igor V. Shishkovsky and published by . This book was released on 2018 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Freedoms in material choice based on combinatorial design, different directions of process optimization, and computational tools are a significant advantage of additive manufacturing technology. The combination of additive and information technologies enables rapid prototyping and rapid manufacturing models on the design stage, thereby significantly accelerating the design cycle in mechanical engineering. Modern and high-demand powder bed fusion and directed energy deposition methods allow obtaining functional complex shapes and functionally graded structures. Until now, the experimental parametric analysis remains as the main method during AM optimization. Therefore, an additional goal of this book is to introduce readers to new modeling and material's optimization approaches in the rapidly changing world of additive manufacturing of high-performance metals and alloys.
Download or read book Productivity Evaluation Model of Binder jetting Additive Manufacturing Processes written by Yuhaowei Zhou and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "The interests towards Additive Manufacturing (AM) technologies are rapidly rising due to their great potential in new product design possibilities and the reduction of environmental impacts. Currently AM technologies are largely investigated in automotive, aerospace and medical equipment industries on design, production quality and manufacturability aspects. Due to its inherited layer by layer fabrication process, there is a concern regarding to the manufacturing efficiency of AM processes. However, there is very limited research on productivity of AM, which includes the time consumption, raw material consumption and the production efficiency. This paper presents a simulation method to assess the productivity of AM. Based on this method, a productivity model of Binder-Jetting AM technology is created. Binder-Jetting AM (BJAM) is one of the commercialized AM technologies which can process a variety of materials including stainless steel, ceramic, sand and polymer. Process decomposition is performed to analyze the BJAM printing process. Curing and sintering process as well as manual processing procedure are also included as part of a complete production system of BJAM. Life Cycle Assessment (LCA) model is developed in order to evaluate the whole production process and the production-consumption relation. Experiments are conducted in order to collect data on operation and manipulation time of the machine and actual material consumption. Based on experimental data, an evaluation algorithm has been developed in estimating the time and material consumption as a function of part geometry and process parameters. Several process parameters are taken into account, including the layer thickness, spreading speed, drying time, binder saturation, drying power and curing and sintering profiles. Furthermore, the production efficiency is assessed on adapted Key Performance Indicator (KPI). Machine Availability, Machine Efficiency, Material Efficiency, Material Consumption Ratio, Waste Ratio and Machine Preparation degree are considered. An estimation of the production time, material consumption as well as the KPIs from the given STL design file and the recommended process parameters is given as the output of the productivity model. Finally, A Case study is performed to validate the BJAM algorithms and productivity model. The result shows that the Productivity Model can provide reliable estimation of the time and material consumption of the BJAM production system." --
