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ahfe international conference on additive manufacturing, modeling systems and 3d prototyping, 2019

AHFE International Conference on Additive Manufacturing, Mod...

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ahfe international conference on additive manufacturing, modeling systems and 3d prototyping, 2019

ISBN: (纸本)9783030202156

The proceedings contain 61 papers. The special focus in this conference is on additive manufacturing, modeling systems and 3d prototyping. The topics include: Kinematic optimization of the robot head movements for the evaluation of human-robot interaction in social robotics;personalized human factor and ergonomics: Usability design of 3d printed patient-specific fracture external fixator;parametric design of applied origami with a synthetic computational approach;generative design for printable mass customization jewelry products;application of robust design techniques for 3d printing on textiles;an algorithmic approach to viewsheds analysis for cultural landscape: Manziana and the bracciano lake area;design and digital fabrication of a parametric joint for bamboo sustainable structures;visionaria. an open design approach for the regeneration of historical urban heritage;Three renaissance vaults in Milan. cultural heritage and digital workflows for BIM modelling;3d printing to innovate the guitar design;four projects of pier luigi nervi. a methodology for the construction and 3d print of architectural models;rapid prototyping for dissemination of perspective treatises;semantic and procedural approaches in generative modeling for the representation of cultural heritage;procedural modelling as a tool for morphological analysis of the design idea;resolution analysis of image-based 3d models;generative models for experimentation and knowledge of perspective principles;using virtual reality and rapid prototyping to co-create together with hospitalized children;avoiding product abandonment through user centered design: A case study involving the development of a 3d printed customized upper limb prosthesis;evaluation of orthosis rapid prototyping during the design process: Analysis of verification models.

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Joint proceedings of the ahfe international conference on Advanced Production Management and Process Control, ahfe international conference on Human Aspects of Advanced manufacturing, and ahfe international conference on additive manufacturing, modeling systems and 3d prototyping, 2018

Joint proceedings of the AHFE International Conference on Ad...

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Joint proceedings of the ahfe international conference on Advanced Production Management and Process Control, ahfe international conference on Human Aspects of Advanced manufacturing, and ahfe international conference on additive manufacturing, modeling systems and 3d prototyping, 2018

ISBN: (纸本)9783319941950

The proceedings contain 51 papers. The special focus in this conference is on Advanced Production Management and Process Control. The topics include: Evaluating Strategies to Restore Trust in decision Support systems in Cross-Company Cooperation;designing for the Future Factory: Exploring the Co-evolution of manufacturing digital Intensity and Personas;ways to Encourage Re-manufacturing as Nigeria Seeks to Transition into a Green Economy;Exoskeleton Assistance Assessment (EAA)-Tool;regional development in Modern Robotic Education on Industrial and Society Context;the Effect of Speed Variation on Initial and Sustained Forces during Pushing and Pulling Activities: A Preliminary Study;Human Factor and Working Out of NBIC Technologies;prior Knowledge and Opportunity Recognition;modelling 3d Objects Using 2d Sketches Through Radial Renderings of Curvature Maps;evaluation of Order Picking Processes Regarding the Suitability of Smart Glasses-Based Assistance Using Rasmussen’s Skills-Rules-Knowledge Framework;towards a digital Healthcare Revolution Views and Researches of the Milanese FabLab Community;direct Control of 3d Models Through User Input to Simulate the Behavior of Mechatronic systems;3d design Process: Case Study of Metaproject Analysis and 3d Printing Concept Proposal in the Field of Fashion;image Processing of Artworks for Construction of 3d Models Accessible to the Visually Impaired;use of digital modeling and 3d Printing for the Inclusive Valorization of Cultural Heritage;applying the Programmable modeling Tool to Support the Hospital Infection Control Staff in Customizing the Filtering Face-Piece Respirators for Health Care Worker;reverse Engineering and digital Archives as a Resource for Practical Craft-Based manufacturing Process;c4t: Safe Behavior Performance Tool.

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ahfe Virtual conference on Production Management and Process Control, Human Aspects of Advanced manufacturing and the additive manufacturing, modeling systems and 3d prototyping, 2020

AHFE Virtual Conference on Production Management and Process...

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ahfe Virtual conference on Production Management and Process Control, Human Aspects of Advanced manufacturing and the additive manufacturing, modeling systems and 3d prototyping, 2020

ISBN: (纸本)9783030519803

The proceedings contain 49 papers. The special focus in this conference is on Production Management and Process Control. The topics include: A Review of Sustainable Materials Used in Thermoplastic Extrusion and Powder Bed Melting additive manufacturing;quantifying discrepancies at Positioning Custom 3d-Printed Surgical Guides for Bone Tumor Resection;design of 3d Printed Cellular Meta-materials for Improved Tool-Handle Ergonomics;destructive Tests of an additively Manufactured Compressor Wheel Performed at High Rotational Speeds;research on Body Type’s Characteristics of Young Men and Women Based on 3d Body Scanning;Product development with Biopolymers Made from Brewers’ Spent Grain (BSG) and Carboxymethylcellulose (CMC), Using 3d Food Printer;Smart Garden (SMAG): A System of Outdoor Furniture Equipped with Artificial Intelligence;Mixed Reality for Visualization of Operating data and Semantic Self-descriptions of Machines using OPC UA;a detailed Investigation on Apparent and Root Causes of Accidents in manufacturing;from Working for Others to Working for Yourself;mathematical Model for Ergonomic Job Rotation Scheduling to Balance the Workload of Employees in Assembly Lines;simulated Ergonomics Evaluation Using Modern Multi-task Evaluation Models;Model-Based Interconnection of digital and Physical Twins Using OPC UA;educational Effects by Formalizing of Traditional Backing Techniques in Japan;dynamic View of Human Elements design and Projection of Human Factors in Critical Task Operation Using Bayesian Networks;activity Process Analysis in Automobile Sheet Metal dent Repair;Quality Circles and Kaizen Award Evaluation Process Improvement in KALdER: Application of Multi-criteria decision Making Techniques;factory Change Agent Combining Lean manufacturing Concept and Environmental Management in Construction Production.

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Optimization of the Fused deposition modeling Parameters Using definitive screening design 10th

Optimization of the Fused Deposition Modeling Parameters Usi...

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10th international conference on design and modeling of Mechanical systems (CMSM)

作者： Jabeur, Maroua Jerbi, Abdessalem Souissi, Slim Elloumi, Ahmed Univ Sfax Lab Syst Electromecan LASEM Ecole Natl Ingenieurs Sfax Sfax 3038 Tunisia Univ Sfax Inst Super Gest Ind Sfax Lab Rech Optimisat Logist & Informat Decis OLID BP 2021 Sfax Tunisia

ISBN: (纸本)9783031650062;9783031650079

additive manufacturing offers flexibility in customizing, designing, minimizing waste, faster prototyping and manufacturing complex profiles. The process parameters play a crucial role in the mechanical strength of the 3d printed product. The present research aims to investigate the impact of various 3d printing process settings on the hardness of PLA copper composite. The results of selecting terms with significant effects on the response show that all the factors studied present such effects. Indeed, the analysis of the final screening plans showed that the most influential factors are the filling density and the thickness of the layer for the Flat and Edge positions. The printing speed influences the hardness of the samples in its quadratic form while it itself has no influence. All the factors adopted are influential in their different forms.

关键词： additive manufacturing fused deposition modeling parameters optimization PLA copper composite

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Non-planar slicing algorithm based on Geodesic field on Tetrahedral mesh for AM fabrication 20

Non-planar slicing algorithm based on Geodesic field on Tetr...

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20th IEEE/ASME international conference on Mechatronic and Embedded systems and Applications (MESA)

作者： Insero, Federico Furlan, Valentina Giberti, Hermes Univ Pavia Dept Elect Comp & Biomed Engn Pavia Italy

ISBN: (纸本)9798331516246;9798331516239

additive manufacturing (AM) is a family of manufacturing processes suitable for rapid prototyping and building near-net-shape components. AM mainly relies on the 2d-slicing process, which does not perform well for free-form shapes, causing the need for support structures, staircase defects, and anisotropy. To address these challenges, several works have been done on Non-planar (NP) slicing techniques to improve flexibility and fabrication performances. While existing work primarily focuses on thin-walled geometries and conformal printing, the issue of filled fabrication with inner cavities remains partially unaddressed. In this context, this work specifically tackles NP-slicing for overhanging components with internal features (such as inner cavities). Our method uses a volumetric mesh (based on tetrahedral elements) and leverages the geodesic field to minimize layer thickness variations, aiming to reduce anisotropy. Although this work is exploratory, it shows the method's feasibility through the robotic toolpaths' simulations.

关键词： additive manufacturing Non-planar slicing 3d mesh industrial robot Fused deposition modeling

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modeling and simulation of Vibro-isolator Rapid prototyping using additive manufacturing 26

Modeling and simulation of Vibro-isolator Rapid Prototyping ...

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26th international conference on Knowledge-Based and Intelligent Information and Engineering systems, KES 2022

作者： Knitter, Remigiusz Blazejewski, Andrzej Królikowski, Tomasz Faculty of Mechanical Engineering Koszalin University of Technology Koszalin75-453 Poland

The emerging concept of mechanical meta-materials has gained increasing attention in recent years, partly due to advances in additive manufacturing techniques (additive manufacturing, 3d printing) that have allowed the fabrication of materials with arbitrarily complex micro/nanostructures. The designed geometry of these structures gives rise to unprecedented or rare mechanical properties that can used to create advanced elements with new, unprecedented functions. This paper presents the method of prototyping a vibro-isolator made of a material that has the properties of storing and disposing of mechanical vibration energy and that can freely be shaped by modern manufacturing techniques. An example of a vibration isolator of the proprietary concept analyzed, using the concept of stepped and adding elements. The method is based on the use of two main tools. Mechanical properties verified by analyzing the frequency and mode of free vibrations of the prototype using the finite element method. The same CAd model of the vibro-isolator prototype produced by 3d printing. The paper presents one of the production techniques, which is 3d printing in SLS (Selective Laser Sintering) technology, and the SolidWorks and Comsol Multhiphysics software used in the CAd/CAE prototyping method. © 2022 The Authors. Published by Elsevier B.V.

关键词： Rapid prototyping

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An Investigation on Impact of Machine Learning in additive manufacturing 2nd

An Investigation on Impact of Machine Learning in Additive M...

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2nd international conference on Mechanical and Energy Technologies , ICMET 2021

作者： Thakar, Chetan M. Ventayen, Randy Joy Magno Ramirez-Asis, Edwin Hernan Vilchez-Carcamo, Juan Emilio Maguiña-Palma, Misael Erikson Thommandru, Abhishek Assistant Professor Department of Mechanical Engineering Government College of Engineering Maharashtra Karad India Acting Campus Executive Director Pangasinan State University Lingayen Campus Philippines Department of Economic and Administrative Sciences Faculty Universidad San Pedro Chimbote Peru Department of Management and Tourism Faculty Universidad Nacional Santiago Antúnez de Mayolo Huaraz Peru Department of Graduate School Universidad Norbert Wiener Lima Peru Law Department VIT AP UNIVERSITY Andhra Pradesh India

ISBN: (纸本)9789811901072

One of the final phases in the product design process is prototyping or model creation. It is beneficial in the conception of a design. A model is produced and evaluated on a regular basis prior to the start of complete assembly. Historically, manual prototyping was employed to create a prototype. additive manufacturing is a buzzword in the industrial and manufacturing industries. Initially, the CAd model of the components for the product was created in modeling software according to the specifications. Following the creation of a CAd model, the model is sliced by parallel planes equal to the layer thickness. As a result, the edges of these slices are quite sharp and squared, like a stair effect. These three-dimensional models will now be broken into small two-dimensional objects called slices. Simply said, a complicated three-dimensional problem has been reduced to a set of two-dimensional difficulties. These small two-dimensional files are known as STL files, and they are sent by tessellating the geometric three-dimensional model. different surfaces of a CAd model are piecewise approximated by a sequence of triangles in tessellation, and the coordinates of triangle vertices and their surface normal are recorded. The predictive nature of various machine learning algorithms makes them the best instrument for dealing with additive manufacturing challenges. Machine learning techniques are capable of evaluating previous data and predicting future outcomes based on that analysis. This article discusses machine learning applications in additive engineering. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： 3d printers

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Medical Applications of Rapid prototyping Technology

Medical Applications of Rapid Prototyping Technology

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international conference on Evolution in manufacturing (ICEM)

作者： Chaudhari, Rakesh Loharkar, Praveen Kumar Ingle, Asha SVKMs NMIMS Dept Mech Engn MPSTME Shirpur Campus Dhule 425405 Maharashtra India MPSTME Mumbai Dept Mech Engn SVKMs NMIMS Mumbai 400056 Maharashtra India

ISBN: (纸本)9789811652813;9789811652806

Rapid prototyping (RP) has turned out to be an evolutionary technology in the medical and healthcare field. Technology is constantly getting evolved resulting in advanced applications in various domains of the healthcare industry. The use of RP and medical advancements are complementing each other in offering better services to the patients. In this context, this paper presents an overview of various rapid prototyping techniques which are collectively called additive manufacturing processes. The wide spread potential of RP in various medical applications such as prosthesis and implant development, surgical planning, modern drug delivery systems, tissue engineering and medical models and devices is also presented. Moreover, the case studies discussed in the paper show the use of RP in overcoming the complexities and anomalies in human anatomy. The aim is to present the capabilities of the RP technique with the help of reviewed literature and discuss the associated challenges.

关键词： drug delivery system Fused deposition modeling Prosthesis Rapid prototyping Stereolithography 3d Printing

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USING ITERATIVE LEARNING CONTROL TO IMPROVE THE ACCURACY OF dESKTOP FUSEd dEPOSITION modeling PRINTERS: AN EXPERIMENTAL CASE STUdY 17

USING ITERATIVE LEARNING CONTROL TO IMPROVE THE ACCURACY OF ...

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ASME 17th international manufacturing Science and Engineering conference (MSEC) held jointly with the 50th North American Research conference (NAMRC)

作者： Funke, Lawrence Opara, Matthew Ohio Northern Univ Dept Mech Engn Ada OH 45810 USA Ohio Northern Univ Dept Elect & Comp Engn & Comp Sci Ada OH 45810 USA

ISBN: (纸本)9780791885802

additive manufacturing (AM) sits poised to make a large impact on the manufacturing sector. Fused deposition modeling (FdM), a type of AM, while versatile, and increasingly appearing in full production systems, has performance limitations in certain geometries, such as arcs and holes. This is especially true for the desktop setups common in College Maker Spaces and other prototyping environments. For these use cases, it is critical to obtain accurate parts quickly, yet often difficult, diminishing the value of using FdM, whether it be to prototype new designs, make final parts, or anything in between. Iterative Learning Control (ILC) has been applied to robot control, plastic extrusion, and other similar processes where disturbances to a system are present and relatively constant, but difficult to model and correct. Since desktop printers perform repetitive tasks subject to nearly constant disturbances that induce inaccuracies, a natural research question arises: can ILC be used to allow desktop printers to learn these inaccuracies and account for them, allowing such printers to create more accurate and useful parts for the average prototyping user? details on the printer, a LulzBot Taz 6, and the scanner, an Einscan 3d Scanner, being used to answer this question are first presented with some baseline data to establish the scanner's nominal accuracy. Subsequently, a simple bounding box approach was developed and tested where only the part's length, width, and height were monitored and adjusted. This approach determined an error metric for a scalene triangular prism by determining the length, width, and height of a box that bounds the shape. The ILC algorithm used this error metric to generate a new file to print for the next iteration, thus creating parts that became more and more accurate. While this approach exhibited some success, it cannot account for larger, more common issues such as warping (where shrinking occurs as the plastic cools over time causing bendin

关键词： modeling Iterative learning control Warping Errors dimensions Robots manufacturing Extruding Prisms (Optics) Engineering prototypes Space Shrinkage (Materials) manufacturing systems Shapes Algorithms additive manufacturing

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Towards data-driven additive manufacturing processes 22

Towards data-driven additive manufacturing processes

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23rd international Middleware conference Industrial Track, Middleware Industrial Track 2022 - Part of Middleware 2022

作者： Gulisano, Vincenzo Papatriantafilou, Marina Chen, Zhuoer Hryha, Eduard Nyborg, Lars Chalmers University of Technology Chalmers University of Technology

ISBN: (纸本)9781450399173

additive manufacturing (AM), or 3d printing, is a potential game-changer in medical and aerospatial sectors, among others. AM enables rapid prototyping (allowing development/manufacturing of advanced components in a matter of days), weight reduction, mass customization, and on-demand manufacturing to reduce inventory costs. At present, though, AM has been showcased in many pilot studies but has not reached broad industrial application. Online monitoring and data-driven decision-making are needed to go beyond existing offline and manual approaches. We aim at advancing the state-of-the-art by introducing the STRATA framework. While providing APIs tailored to AM printing processes, STRATA leverages common processing paradigms such as stream processing and key-value stores, enabling both scalable analysis and portability. As we show with a real-world use case, STRATA can support online analysis with sub-second latency for custom data pipelines monitoring several processes in parallel. © 2022 Owner/Author.

关键词： 3d printers

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