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    Topology optimization for manufacturability of Additive Manufacturing based on Deep Learning and Generative Adversarial Network

    , M.Sc. Thesis Sharif University of Technology Mohseni, Maedeh (Author) ; Khodaygan, Saeed (Supervisor)
    Abstract
    In recent years, Additive Manufacturing has been extensively used by various industries. These manufacturing processes produce components in a layer-by-layer manner; therefore, they do not impose any geometric constrains to engineers and provide designers with the freedom to design components. Nowadays, one of the primary goals of all industries is to utilize as few raw materials as possible; this way they can deal with the shortage of raw materials and improve their efficiency. Consequently, they implement topology optimization algorithms to design and produce their components. However, topology optimization algorithms result in complicated geometries that can only be fabricated by AM.... 

    A framework for multi-objective optimisation of 3D part-build orientation with a desired angular resolution in additive manufacturing processes

    , Article Virtual and Physical Prototyping ; Volume 14, Issue 1 , 2019 , Pages 19-36 ; 17452759 (ISSN) Golmohammadi, A. H ; Khodaygan, S ; Sharif University of Technology
    Taylor and Francis Ltd  2019
    Abstract
    In additive manufacturing processes, the part build orientation (PBO) is one of the most important factors that can affect the characteristics of the quality product such as the amount of support structure and the surface roughness. In most previous methods, the optimal PBO cannot be determined with high precision and accuracy in 3D space. In this paper, to find the precise and accurate optimal PBO with a desired angular accuracy, a new Taguchi-based method, called the Zooming-Taguchi method, is proposed. The proposed simulation-based method can precisely find the optimal PBO in absence of the noise effects. In order to find the optimal PBO with the desired angular resolution, the zooming... 

    The Representation of an Intelligent Process Planning Structure for Additive Manufacturing Systems Based on Cognitive Models

    , Ph.D. Dissertation Sharif University of Technology Rezaei, Mohammad Reza (Author) ; Haji, Alireza (Supervisor) ; Houshmand، Mahmoud (Supervisor) ; Fatahi Valilai, Omid (Co-Supervisor)
    Abstract
    In the traditional process planning, the expert decides upon the production process for a product by considering the previous cases and by decomposing, analysis and interpreting the shape of the product in terms of more familiar previous cases. In recent decades and by developments in the disciplines of the artificial intelligence, mass customization, cloud manufacturing and additive manufacturing, a necessity for process planning systems which need less human intervention by intelligent interpretation of the shape and consideration of the available data from previous productions, has emerged. Inspired by the traditional process planning by human expert, and considering the overall process... 

    Study of the Effects of Powder Dispensing Mechanism on Selective Laser Sintering Process

    , M.Sc. Thesis Sharif University of Technology Mahmoodi, Amir Hossein (Author) ; Movahhedy, Mohammad Reza (Supervisor)
    Abstract
    Additive manufacturing (Simply called A.M.) is a group of manufacturing technologies that is developing rapidly and is being used widely in some industries like car manufacturing, Aerospace and producing Biomedical devices, In a way that some researchers believe that A.M. methods will change the future of manufacturing. One of the most important A.M. techniques is the Selective Laser Sintering (SLS) method that is mostly used in industrial applications. A SLS machine has a lot of sub systems and mechanisms that have key role in the Laser Sintering process. One of the mechanisms of SLS machine is the Powder Dispensing mechanism that produce layers of unsintered powder as thin as 100 microns... 

    Investigation of the Effective Parameters and Procedures to Reduce Residual Stress of Parts Produced by Wire arc Additive Manufacturing (WAAM)

    , M.Sc. Thesis Sharif University of Technology Tangestani, Reza (Author) ; Farrahi, Gholamhossein (Supervisor)
    Abstract
    Wire arc additive manufacturing (WAAM) is used to manufacture parts in large scale, low cost, and at high rate of production. One of the problems of this technique is the creation of residual stress in the produced components. The aim of this study is to investigate the efficiency of procedures reducing the amount of residual stress to ameliorate the WAAM technique. In this research, the WAAM method and the procedures for reducing the amount of residual stress are explained. Also the advantage of this technique is presented. Due to the enormous amount of parameters and for the aim of saving time and expense, the simulation method is used. The accuracy of the simulation was checked with... 

    Thermal Simulation of Selective Laser Melting Process to Predict Microstructure

    , M.Sc. Thesis Sharif University of Technology Dastbaz, Ehsan (Author) ; Tavakoli, Ruhollah (Supervisor) ; Ashuri, Hossein (Supervisor)
    Abstract
    In the process of Additive manufacturing for metals, the ability to predict and control the microstructure can reduce the need for subsequent heat treatment and accelerate the component quality assessment process. The ability to predict and control the microstructure of materials in the laser deposition method needs to understand the thermal conditions during the solidification process. For this purpose, the present study investigated the relationship between cooling rate and temperature gradient during local solidification, and control parameters of the laser deposition process such as power, beam radius, scanning speed and strategy of laser, ambient temperature and preheating temperature.... 

    Numerical Simulation of Residual Stress Formation During Selective Laser Melting Process

    , M.Sc. Thesis Sharif University of Technology Maleki, Pedram (Author) ; Tavakoli, Rouhollah (Supervisor)
    Abstract
    One of the major challenges in Additive Manufacturing is the creation of residual stresses due to the high temperature gradient in the solidification zone. This will cause problems such as cracks in the structure, metallurgical defects as well as deformation and dimensional accuracy reduction in the finished product. The purpose of this study is to perform mathematical modeling and computer simulation of the selective laser melting process (SLM) to predict these stresses as well as identify the effective parameters on this phenomenon. The conditions were adjusted in this model with the actual coefficients of the device. Additionally, the powder used in this project is Ti6Al4V material. By... 

    Multiphysics Modeling and Magnetic Control of Powder Deposition Process in DMD Method of Additive Manufacturing Technology

    , M.Sc. Thesis Sharif University of Technology Nejati Eghteda, Sina (Author) ; Movahhedy, Mohammad Reza (Supervisor)
    Abstract
    Direct Metal Deposition is one of the methods of Additive manufacturing that has seen the most spread in recent years. In this method metal powder is directed towards the free surface of the workpiece through a nuzzle, and is simultaneously heated to become molten in a melting pool by a laser beam and begins the deposition process. One of the parts that make up a DMD system is powder feeding nuzzle. These nuzzles usually encounter a similar fundamental problem: that the effect of gravity on the stream of metal powder and the carrier fluid causes this stream to deviate from its intended position. To prevent this, nuzzles are usually designed with a fixed downward angle and the angle of the... 

    Process Capability Analysis of Additive Manufacturing Process through Predictive Model of Dimensional and Geometric Errors based on Machine Learning

    , M.Sc. Thesis Sharif University of Technology Abdolahi, Alireza (Author) ; Khodaygan, Saeed (Supervisor)
    Abstract
    Additive manufacturing (AM)has gained extensive industrial and research attention in recent years. Reducing manufacturing waste, lead-time and costs and the ability to build surfaces and parts with complex shapes, assemblies all at once or parts with internal features are some benefits of AM. However, complex error generation mechanisms underlying AM digital physical chains are likely to result in geometrical inaccuracies of the final product, thus posing significant challenges to design and tolerancing for AM. Therefore, predictive modeling of shape deviations is critical for AM. With increasing volumes and varieties of data, machine learning has gained extraordinary popularity due to its... 

    Fatigue Life Investigation of Titanium Specimens Fabricated by 3D Printers

    , M.Sc. Thesis Sharif University of Technology Dehghan Manshadi, Amir (Author) ; Adibnazari, Saeed (Supervisor)
    Abstract
    In various industries such as aerospace, biomedicine and automobile manufacturing, they seek to manufacture light parts with complex geometry and acceptable mechanical properties. Additive manufacturing processes have gained a special place in the field of rapid prototyping, reverse engineering, mold production, etc. brought It is very important to know the mechanical properties, especially the fatigue behavior of the parts obtained by this method. In this research, the stress-fatigue life graph of parts made of Ti-6Al-4V (grade 5), which is one of the most widely used alloys in aerial structures, was extracted by selective laser melting. For this purpose, several standard fatigue test... 

    Data-driven Formulation of a Super Element for FE Analysis of Lattice Structures

    , M.Sc. Thesis Sharif University of Technology Ashrafian, Ali (Author) ; Asghari, Mohsen (Supervisor) ; Hosseini, Ehsan (Supervisor)
    Abstract
    Additive manufacturing enables fabricating lattice structures with tailored mechanical responses based on lattice materials. Full exploitation of such a possibility requires reliable and efficient mechanical analysis tools to be explored by topology optimization algorithms for designing the interior architecture of the structures to meet the desired mechanical behavior. However, detailed mechanical analysis of lattice-based structures using the conventional finite element approach is prohibitively expensive due to lattices’ complex and fine features that demand adopting very fine space discretization. As an alternative, equivalent models based on the homogenization principle have widely been... 

    Characterization of Ss316l Powder Produced by Flame Spraying Method for Additive Manufacturing by Selective Laser Melting by Changing Machine Parameters

    , M.Sc. Thesis Sharif University of Technology Yousefi, Dorsa (Author) ; Sadrnezhaad, Khatiboleslam (Supervisor)
    Abstract
    Selective Laser Melting (SLM) process is a powder-based metal Additive Manufacturing (AM) technique. This developing industry has many advantages like generation of geometrically complex shapes with high density. High Cost, production and characterization of powders, limited material choices and process parameters optimization are some of the challenges associated with SLM. Stainless steel 316L due to its unique properties, like corrosion resistance, high strength, biocompatibility, availability and cost is indeed a commonly used material in SLM. In this research, the characterization of the powder produced by the flame spraying device, which is a new method, was discussed. Wire with 3mm... 

    Investigating Designs and Additive Manufacturing of Flexible Cellular Cones for Bone Replacement in Revision Total Knee Arthroplasty

    , M.Sc. Thesis Sharif University of Technology Sabokrooz Roozbahani, Fatemeh (Author) ; Farahmand, Farzam (Supervisor) ; Movahhedy, Mohammad Reza (Supervisor)
    Abstract
    Flexible cones are one of the latest bone loss treatment methods in the ever-increasing revision total knee arthroplasty. This study is conducted to assess the biomechanical performance of the tibial flexible cellular cones in enhancing the initial stability of the implant system through the analysis of implant micromotion, as well as minimizing stress shielding through the analysis of strain distribution in the bone. The research evaluates the impact of various geometrical variables, including the thickness of the porous wall, the presence, type, width, number, and location of the inner solid wall notches on the spring stiffness and stress distribution of these cones. The research... 

    Synthesis and Characterization of 2-dimensional Carbides (MXenes), and Fabrication of 3D Printed MXene-Polylactic Acid Nanocomposites

    , M.Sc. Thesis Sharif University of Technology Mohammadi, Hamid Reza (Author) ; Alizadeh, Reza (Supervisor)
    Abstract
    A decade after discovery of graphene, the unique properties and characteristics of two-dimensional materials, particularly an emerging family of carbides and nitrides (MXenes), have attracted the attention of researchers. MXenes are two-dimensional structures of two or more layers of transition metals, with interstitial carbon and/or nitrogen atoms, with exceptional properties such as high specific surface area, excellent elastic modulus, metallic conductivity, and various termination groups. These properties can be altered by various factors, including chemical composition and synthesis processes, and any changes in these factors significantly affect the properties of MXene sheets. In this... 

    Depicting additive manufacturing from a global perspective; Using Cloud manufacturing paradigm for integration and collaboration

    , Article Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture ; Volume 229, Issue 12 , September , 2015 , Pages 2216-2237 ; 09544054 (ISSN) Valilai, O. F ; Houshmand, M ; Sharif University of Technology
    SAGE Publications Ltd  2015
    Abstract
    Globalization is one of the widely considered factors in today's manufacturing industries. This paradigm may be adopted for new technologies such as additive manufacturing. Additive manufacturing has been identified as an innovative manufacturing technology in recent years. The characteristics of this manufacturing technology, especially its support for quick design to manufacturing, have dominated it as an efficient generation of manufacturing techniques for today's global manufacturing paradigm. This article discusses the requirements and necessities of additive manufacturing with respect to a globalized perspective. Considering the two major requirements studied as integration of... 

    Multi Objective Topology Design based on Moving Morphable Component and Machine Learning

    , M.Sc. Thesis Sharif University of Technology Ramezani, Mohammad Sajad (Author) ; Khodaygan, Saeed (Supervisor)
    Abstract
    Today, the additive manufacturing process is one of the most important manufacturing processes. In the additive manufacturing process, the mass of the parts is directly related to the printing duration, in addition to the costs of consumables. On the other hand, the use of lighter parts in industries, such as the aviation, is one of the important requirements of those industries, and topology optimization is needed to reduce the consumables and the mass of the parts. Also, since in the optimal design of engineering parts, more than one design objective is usually considered, the multi-objective optimization of topology is of great importance. The Moving Morphable Components is one of the new... 

    Multi-criteria optimization of the part build orientation (PBO) through a combined meta-modeling/NSGAII/TOPSIS method for additive manufacturing processes

    , Article International Journal on Interactive Design and Manufacturing ; 2017 , Pages 1-15 ; 19552513 (ISSN) Khodaygan, S ; Golmohammadi, A. H ; Sharif University of Technology
    Abstract
    Additive manufacturing (AM), is a new technology for the manufacturing of the physical parts through an additive manner. In the AM process, the orientation pattern of the part is an important variable that significantly influences the product properties such as the build time, the surface roughness, the mechanical strength, the wrinkling, and the amount of support material. The build time and the surface roughness are the more important criteria than others that can be considered to find the optimum orientation of parts. The designers and manufacturing engineers usually attempt to find an optimum solution to reach the product with high quality at the minimum time. Determining the optimum... 

    Multi-criteria optimization of the part build orientation (PBO) through a combined meta-modeling/NSGAII/TOPSIS method for additive manufacturing processes

    , Article International Journal on Interactive Design and Manufacturing ; Volume 12, Issue 3 , 2018 , Pages 1071-1085 ; 19552513 (ISSN) Khodaygan, S ; Golmohammadi, A. H ; Sharif University of Technology
    Springer-Verlag France  2018
    Abstract
    Additive manufacturing (AM), is a new technology for the manufacturing of the physical parts through an additive manner. In the AM process, the orientation pattern of the part is an important variable that significantly influences the product properties such as the build time, the surface roughness, the mechanical strength, the wrinkling, and the amount of support material. The build time and the surface roughness are the more important criteria than others that can be considered to find the optimum orientation of parts. The designers and manufacturing engineers usually attempt to find an optimum solution to reach the product with high quality at the minimum time. Determining the optimum... 

    Numerical and analytical simulation of multilayer cellular scaffolds

    , Article Journal of the Brazilian Society of Mechanical Sciences and Engineering ; Volume 42, Issue 5 , 2 May , 2020 Khanaki, H. R ; Rahmati, S ; Nikkhoo, M ; Haghpanahi, M ; Akbari, J ; Sharif University of Technology
    Springer  2020
    Abstract
    Due to the advent and maturity of the additive manufacturing technology, it is possible now to construct complex microstructures with unprecedented accuracy. In addition, to the influence of network unit cell types and porosities in recent years, researchers have studied the number of scaffold layers fabricated by additive manufacturing on mechanical properties. The objective of this paper is to assess the numerical and analytical simulations of the multilayer scaffolds. For this purpose, 54 different regular scaffolds with a unit cell composed of multilayer scaffolds were simulated under compressive loading and compared with the analytical relationships based on the Euler–Bernoulli and... 

    An autonomous framework for interpretation of 3D objects geometric data using 2D images for application in additive manufacturing

    , Article PeerJ Computer Science ; Volume 7 , 2021 , Pages 1-32 ; 23765992 (ISSN) Rezaei, M. R ; Houshmand, M ; Valilai, O. F ; Sharif University of Technology
    PeerJ Inc  2021
    Abstract
    Additive manufacturing, artificial intelligence and cloud manufacturing are three pillars of the emerging digitized industrial revolution, considered in industry 4.0. The literature shows that in industry 4.0, intelligent cloud based additive manufacturing plays a crucial role. Considering this, few studies have accomplished an integration of the intelligent additive manufacturing and the service oriented manufacturing paradigms. This is due to the lack of prerequisite frameworks to enable this integration. These frameworks should create an autonomous platform for cloud based service composition for additive manufacturing based on customer demands. One of the most important requirements of...