scholarly journals Topology optimization of the tool holder produced with additive manufacturing

2021 ◽  
Vol 1199 (1) ◽  
pp. 012086
Author(s):  
M Stepanek ◽  
K Raz ◽  
Z Chval
Keyword(s):  
Topology Optimization ◽  
Additive Manufacturing ◽  
Production Technology ◽  
Weight Reduction ◽  
Laser Sintering ◽  
Topological Optimization ◽  
Manufacturing Constraints ◽  
Direct Metal Laser Sintering ◽  
Tool Holder

Abstract This paper deals with the topology optimizations of tool holder where three different mass targets were required. The holder was loaded with 499 N. Weight reduction of the tool holder placed in tool turret can positively affect the bearing durability. Easier manipulation with the holder is one of the results. In the process of the topological optimization manufacturing constraints, such as overhang prevention, self-supporting and material spreading were defined for needs of Direct Metal Laser Sintering production technology. Structural analyses of three obtained geometries were simulated for evaluation of the stiffness in three main directions of the tool holder. Finally, the weight and the stiffness of each individual geometry was compared and prepared for manufacturing.

Innovative Design, Structural Optimization and Additive Manufacturing of New-Generation Turbine Blades

2021 ◽  
pp. 1-31
Author(s):  
Lorenzo Pinelli ◽  
Andrea Amedei ◽  
Enrico Meli ◽  
Federico Vanti ◽  
Benedetta Romani ◽  
...  
Keyword(s):  
Topology Optimization ◽  
Additive Manufacturing ◽  
Structural Optimization ◽  
Turbine Blade ◽  
Turbine Blades ◽  
Topological Optimization ◽  
Mode Shapes ◽  
Structural Topology Optimization ◽  
Structural Topology ◽  
New Generation

Abstract The need for high performances is pushing the complexity of mechanical design at very high levels, especially for turbomachinery components. Structural topology optimization methods together with additive manufacturing techniques for high resistant alloys are considered very promising tools, but their potentialities have not been deeply investigated yet for critical rotating components like new-generation turbine blades. This research work proposes a methodology for the design, the optimization and the additive manufacturing of extremely stressed turbomachinery components like turbine blade-rows. The presented procedure pays particular attention to important aspects of the problems as fluid-structure interactions and fatigue of materials, going beyond the standard structural optimization approaches found in the literature. The numerical procedure shows robustness and efficiency, making the proposed methodology a good tool for rapid design and prototyping, and for reducing the design costs and the time-to-market typical of these mechanical elements. The procedure has been applied to a low-pressure turbine rotor to improve the aeromechanical behavior while keeping the aerodynamic performance. From the original geometry, mode-shapes, forcing functions and aerodynamic damping have been numerically evaluated and are used as input data for the following topological optimization. Finally, the optimized geometry has been verified in order to confirm the improved aeromechanical design. After the structural topology optimization, the final geometries provided by the procedure have been then properly rendered to make them suitable for additive manufacturing. Some prototypes of the new optimized turbine blade have been manufactured to be tested in terms of fatigue.

scholarly journals Mechanical properties comparison of Ti6Al4V produced by different technologies under static load conditions

2019 ◽  
Vol 290 ◽  
pp. 08010
Author(s):  
Karolina Karolewska ◽  
Bogdan Ligaj
Keyword(s):  
Mechanical Properties ◽  
Additive Manufacturing ◽  
Selective Laser Sintering ◽  
Laser Sintering ◽  
Ti6al4v Alloy ◽  
Direct Metal Laser Sintering ◽  
Static Tests ◽  
Rolling Method ◽  
Manufacturing Techniques ◽  
Materials Used

The most commonly used technology among the additive manufacturing is Direct Metal Laser Sintering (DMLS). This process is based on selective laser sintering (SLS). The method gained its popularity due to the possibility of producing metal parts of any geometry, which would be difficult or impossible to obtain by the use of conventional manufacturing techniques. Materials used in the elements manufacturing process are: titanium alloys (e.g. Ti6Al4V), aluminium alloy AlSi10Mg, etc. Elements printed from Ti6Al4V titanium alloy find their application in many industries. Details produced by additive technology are often used in medicine as skeletal, and dental implants. Another example of the DMLS elements use is the aerospace industry. In this area, the additive manufacturing technology produces, i.a. parts of turbines. In addition to the aerospace and medical industries, DMLS technology is also used in motorsport for exhaust pipes or the gearbox parts. The research objects are samples for static tests. These samples were made of Ti6Al4V alloy by the DMLS method and the rolling method from a drawn rod. The aim of the paper is the mechanical properties comparative analysis of the Ti6Al4V alloy produced by the DMLS method under static loading conditions and microstructure analysis of this material.

Incorporating Manufacturing Constraints in Topology Optimization Methods: A Survey

2017 ◽  
Author(s):  
Alok Sutradhar ◽  
Jaejong Park ◽  
Payam Haghighi ◽  
Jacob Kresslein ◽  
Duane Detwiler ◽  
...  
Keyword(s):  
Topology Optimization ◽  
Additive Manufacturing ◽  
Optimization Methods ◽  
Manufacturing Processes ◽  
Complex Geometries ◽  
Manufacturing Constraints ◽  
Post Processing ◽  
Optimization Framework ◽  
Manufacturing Methods ◽  
Traditional Manufacturing

Topology optimization provides optimized solutions with complex geometries which are often not suitable for direct manufacturing without further steps or post-processing by the designer. There has been a recent progression towards linking topology optimization with additive manufacturing, which is less restrictive than traditional manufacturing methods, but the technology is still in its infancy being costly, time-consuming, and energy inefficient. For applications in automotive or aerospace industries, the traditional manufacturing processes are still preferred and utilized to a far greater extent. Adding manufacturing constraints within the topology optimization framework eliminates the additional design steps of interpreting the topology optimization result and converting it to viable manufacturable parts. Furthermore, unintended but inevitable deviations that occur during manual conversion from the topology optimized result can be avoided. In this paper, we review recent advances to integrate (traditional) manufacturing constraints in the topology optimization process. The focus is on the methods that can create manufacturable and well-defined geometries. The survey will discuss the advantages, limitations, and related challenges of manufacturability in topology optimization.

scholarly journals Digital Modeling Accuracy of Direct Metal Laser Sintering Process

2020 ◽  
Vol 22 (2) ◽  
pp. 123
Author(s):  
T. Dmitriyev ◽  
S. Manakov
Keyword(s):  
Additive Manufacturing ◽  
Main Idea ◽  
Strength Properties ◽  
Laser Sintering ◽  
Direct Metal Laser Sintering ◽  
Real Model ◽  
Digital Modeling ◽  
Critical Issues ◽  
Metal 3D Printing ◽  
The Cost

Products obtained by metal additive manufacturing have exceptional strength properties that can be compared with forged parts, and in some cases, even surpass them. Also, the cost and time of parts manufacture are reduced by two or even three times. Because of this, today’s leading corporations in the field of aerospace industry introducing this technology to its production. To avoid loss of funds and time, the processes of additive manufacturing should be predictable. Simufact Additive is specialized software for additive manufacturing process simulation is dedicated to solving critical issues with metal 3D printing, including significantly reducing distortion; minimize residual stress to avoid failures; optimize the build-up orientation and the support structures. It also enables us to compare simulated parts with the printed sample or measure it as a reference. In other words, the simulated deformations can be estimated concerning the reference geometry. The current work aims to study the deformation of the sample during the Direct Metal Laser Sintering (DMLS) process made from Maraging Steel MS1. Simufact Additive software was used to simulate the printing process. The main idea is to compare the results of the simulation and the real model. EOS M290 metal 3D printer was used to make a test specimen.

Direct Solid Element Slicing in Topology Optimization for Additive Manufacturing

2019 ◽  
Author(s):  
Dylan Bender ◽  
Ahmad Barari
Keyword(s):  
Topology Optimization ◽  
Additive Manufacturing ◽  
Closed Loop ◽  
Element Model ◽  
Solid Model ◽  
Manufacturing Constraints ◽  
Manufacturing Process Planning ◽  
Almost All ◽  
The Finite Element Model ◽  
Direct Solid

Abstract The traditional input to almost all commercially available Additive Manufacturing (AM) systems is in STL (Standard Tessellation Language) format, which represents a solid model by its tessellated surfaces. This does not allow transferring the entire information of a solid model to the additive manufacturing preprocessing system. However, in some recent applications such as additive manufacturing preprocessing simulation, closed-loop of topology optimization and additive manufacturing process planning, and AM-based design optimization the full access to the solid model information is necessary. Slicing of the finite element model directly is introduced in this paper. The presented approach enables access to the entire solid model information during the AM preprocessing tasks with a focus on coupling the topology optimization in the design process with the actual manufacturing constraints.

Effect of Build Direction in Direct Metal Laser Sintering (DMLS) of Inconel 718 on Microstructure and Mechanical Behavior

2019 ◽  
Author(s):  
Sachin Alya ◽  
Chaitanya Vundru ◽  
Ramesh Singh ◽  
Khushahal Thool ◽  
Indradev Samajdar ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Mechanical Behavior ◽  
Inconel 718 ◽  
Laser Sintering ◽  
Thermal Gradients ◽  
Layer By Layer ◽  
Direct Metal Laser Sintering ◽  
Powder Bed ◽  
Grain Orientations ◽  
End Use

Abstract Additive manufacturing (AM) technology is gaining enormous popularity in the manufacturing industries. The continuous improvements made in the AM processes features development of 3D metallic prototypes as well as fully functional end-use components. Direct Metal Laser Sintering (DMLS) is a pre-placed powder bed based technique, in which a thin layer of powder is place over the build tray and the areas need to be sintered are exposed to the laser. In the current work the microstructural and mechanical behavior of Inconel 718 parts produced by DMLS are investigated. As the DMLS produces parts in a layer by layer fashion, the orientation of parts with respect to the build direction is an important criterion. Microstructure and mechanical properties of the produce differs depending upon the orientation. This paper emphasize on the variation of grain sizes and grain orientations developed in the components built with different orientations. Another common issue with the additive manufacturing is the development of the residual stresses in the components arising due to the differential thermal gradients experienced during processing. The variation of the residual stress generated in the produced parts has also been characterized and modeled.

scholarly journals Developing Topology Optimization with Additive Manufacturing Constraints in ANSYS®

2018 ◽  
Vol 51 (11) ◽  
pp. 1359-1364 ◽  
Author(s):  
Davin Jankovics ◽  
Hossein Gohari ◽  
Mohsen Tayefeh ◽  
Ahmad Barari
Keyword(s):  
Topology Optimization ◽  
Additive Manufacturing ◽  
Manufacturing Constraints

Game Theoretic Modelling Approach for Optimizing Direct Metal Laser Sintering Process Parameters Using Artificial Neural Network

2020 ◽  
Author(s):  
Suchana Jahan ◽  
Hazim El-Mounayri
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Additive Manufacturing ◽  
Process Parameters ◽  
Laser Sintering ◽  
Optimization Techniques ◽  
Direct Metal Laser Sintering ◽  
Game Theoretic ◽  
Artificial Neural ◽  
Modelling Approach

Abstract Additive Manufacturing, also known as Rapid Prototyping and 3D Printing is a three-dimensional fabrication process, executed by adding materials in layers. Among many different classes of AM processes, Direct Metal Laser Sintering is a widely used metal part manufacturing method. The design, planning and implementation of overall DMLS process and its process parameters are yet to be optimized. To be able to render minimum defects as well as higher quantity of production, it is essential to apply ever developing computer technologies, data storage capabilities and optimization techniques. Typically, the defects on any 3D printed part can alter mechanical properties and shorten its durability. To minimize the defects and produce good quality parts at a mass level, has been a challenge in additive manufacturing industry. In this paper, a framework is presented to utilize game theoretic modelling approach to optimize DMLS process parameters. Online monitoring of DMLS process can identify defects of printed layers and correlate them with temperature signatures. An Artificial Neural Network is trained to predict printing defects and process parameters. predicted model can be further used in a game theoretic playoff matrix to identify the most optimal combination or configuration of DMLS process parameters to minimize defects and maximize the production quantity. The proposed method can also be applied in different domains of additive and advanced manufacturing.

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