scholarly journals Slicing Algorithm and Partition Scanning Strategy for 3D Printing Based on GPU Parallel Computing

Materials ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4297
Author(s):  
Xuhui Lai ◽  
Zhengying Wei

Aiming at the problems of over stacking, warping deformation and rapid adjustment of layer thickness in electron beam additive manufacturing, the 3D printing slicing algorithm and partition scanning strategy for numerical control systems are studied. The GPU (graphics processing unit) is used to slice the 3D model, and the STL (stereolithography) file is calculated in parallel according to the normal vector and the vertex coordinates. The voxel information of the specified layer is dynamically obtained by adjusting the projection matrix to the slice height. The MS (marching squares) algorithm is used to extract the coordinate sequence of the binary image, and the ordered contour coordinates are output. In order to avoid shaking of the electron gun when the numerical control system is forming the microsegment straight line, and reduce metal overcrowding in the continuous curve C0, the NURBS (non-uniform rational b-splines) basis function is used to perform curve interpolation on the contour data. Aiming at the deformation problem of large block components in the forming process, a hexagonal partition and parallel line variable angle scanning technology is adopted, and an effective temperature and deformation control strategy is formed according to the European-distance planning scan order of each partition. The results show that the NURBS segmentation fits closer to the original polysurface cut line, and the error is reduced by 34.2% compared with the STL file slice data. As the number of triangular patches increases, the algorithm exhibits higher efficiency, STL files with 1,483,132 facets can be cut into 4488 layers in 89 s. The slicing algorithm involved in this research can be used as a general data processing algorithm for additive manufacturing technology to reduce the waiting time of the contour extraction process. Combined with the partition strategy, it can provide new ideas for the dynamic adjustment of layer thickness and deformation control in the forming process of large parts.

2021 ◽  
Author(s):  
◽  
Noah Orr

<p>Over the past decade robotic fabrication in architecture has succeeded where early digital architecture has fallen short: in the synthesis of the immaterial logic of computers and the material reality of architecture.  In light of this new/profound shift architectural theorist and historian of the ‘Digital Turn’ - Mario Carpo argues: ‘We no longer are witnessing the delayed modernization of an industry, but rather an historic departure: the modern division between intellectual work and manual production, between design and realization and manual production. Through this we see traditional modes of design becoming obsolete’.  The increasing power of digital design software, the widespread availability of digital fabrication tools, and the growing complexity of our built environment, are in stark contrast to the inefficient techniques that currently hinder today’s construction industry.  Furthermore, the utilisation of concepts from nature including biomemesis, biophilia, swarm tectonics, as well as cross-disciplinary influences - from the film industry to social sciences and artificial intelligence - has contributed significantly to the depth of change in the tools, and their subsequent delivery of, architecture.  Using nature and biological paradigms as a key influence for the work (specifically biological systems as defined by Menges, Wienstock and others) the thesis asks the question: How can biological theories on growth disrupt inert material perception within the discourse of 3D-printing architecture?  It seeks to consider a design and fabrication process that allows the dynamic potential found in natural systems (patterns, forms, behaviours, organisation) to design and build with far more complexity and sophistication. Such work could fore front notions of growth, evolution and natural forms of optimization compared to the current post industrialised notions of beauty. New computing capacity and assembly efficiencies should over time produce more advanced structures than are possible with current technologies.  The researcher is ‘aware’ of the range of fabrication methods available to the industry, firstly the invention of Computer Numerical Control (CNC) known primarily as a ‘subtractive method’ of machining and additive manufacturing machines (3D printers) by Charles Hull (1984) which revolutionized rapid prototyping throughout the automotive, aeronautic, and design industries.  The application of additive manufacturing workflows - in particular to the architectural field - holds significant potential to provide a fabrication method for the complex geometrical forms that substantiate the parametric design paradigm. However, contemporary attempts in mass fabrication of computer generated componentry are still costly in terms of practice, investment, and time... They are also complex in terms of assembly and co-ordination.  Using customized CAD/CAM workflow the author speculates a self-assembling ‘4-D’ architecture. As a piece of explorative design research, the thesis focuses primarily on the underlying philosophy and design methods, and looks to offer up a series of tectonic iterations that integrate form, surface and structure. These iterations have been designed and developed through complex surface pattern projection, a speculative technique developed by the author. It allows a use of direct additive 3d print to surface and enables a prototype fabrication system. This prototype system results in the production of self-assembling tension based membrane surface structures. These structures could, for example, be used for rapid deployment construction scenarios. (see final Design Research).  Resin-impregnation patterns are applied to 2-D pre-stretched form-active tension systems to induce 3-D curvature upon release. Form-finding is enabled through this method based on materials’ properties, organization and behavior. A digital tool is developed in the CAD environment that demonstrates the simulation of material behavior and its prediction under specific environmental conditions.  The methodology follows a systematic design-led research approach, in which physical form finding techniques, developed throughout the 19th and 20th centuries, are digitized via parametric 3D modelling software. Extensive physical modelling and analysis is conducted into a biomimetic approach to the design of fabric tensegrity surface structures, and their CNC fabrication potential explored. This research demonstrates the association between geometry and material behavior, specifically the elastic properties of resin impregnated Lycra membranes, by means of homogenizing protocols which translate physical properties into geometrical functions.  The work challenges the shifting role of the architect from that of an assembler of inert (discrete) material parts towards that of ‘an orchestrator of material effects’. This shift in role is enabled through the affordances of computational design tools, and emerging fabrication methods. Conclusions are drawn from the physical and digital explorations which redefine generative material-based design computation, supporting a synergetic approach to design integrating form, structure, material and environment.  How can biological theories on growth disrupt inert material perception within the discourse of 3D-printing architecture?</p>


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Elodie Paquet ◽  
Alain Bernard ◽  
Benoit Furet ◽  
Sébastien Garnier ◽  
Sébastien Le Loch

Purpose The purpose of this paper is to present a novel methodology to produce a large boat hull with a foam additive manufacturing (FAM) process. To respond to shipping market needs, this new process is being developed. FAM technology is a conventional three-dimensional (3D) printing process whereby layers are deposited onto a high-pressure head mounted on a six-axis robotic arm. Traditionally, molds and masters are made with computer numerical control (CNC) machining or finished by hand. Handcrafting the molds is obviously time-consuming and labor-intensive, but even CNC machining can be challenging for parts with complex geometries and tight deadlines. Design/methodology/approach The proposed FAM technology focuses on the masters and molds, that are directly produced by 3D printing. This paper describes an additive manufacturing technology through which the operator can create a large part and its tools using the capacities of this new FAM technology. Findings The study shows a comparison carried out between the traditional manufacturing process and the additive manufacturing process, which is illustrated through an industrial case of application in the manufacturing industry. This work details the application of FAM technology to fabricate a 2.5 m boat hull mold and the results show the time and cost savings of FAM in the fabrication of large molds. Originality/value Finally, the advantages and drawbacks of the FAM technology are then discussed and novel features such as monitoring system and control to improve the accuracy of partly printed are highlighted.


Author(s):  
Xuewei Fang ◽  
Jun Du ◽  
Zhengying Wei ◽  
Xin Wang ◽  
Pengfei He ◽  
...  

Fused-coating based metal additive manufacturing (FCAM) is a newly established direct metal forming process. This method is characterized by deposition metal materials in a crucible and under the driving pressure the molten metal is extruded out from a special designed nozzle. Hence, dense metal parts with different kind of materials can be built on the moving substrate layer by layer. It provides a method to fabricate metal components with lower costs, clean and cheap materials compared with other AM processes. To study the feasibility of this new AM methodology, an experimental system with a molten metal stream generator, a fused-coating nozzle, a process monitor unit, an inert atmosphere protection unit and a temperature measurement unit has been established. In order to determine the proper parameters in the building process, a metal fused-coating heat transfer model analysis and experimental study is performed by using Sn63-37Pb alloy in building three-dimensional components. The process parameters that may affect fabrication are molten and substrate temperature, layer thickness, the substrate-speed, the temperature of substrate, the distance between the nozzle and substrate and the pressure. Microscopy images were used to investigate the metallurgical bonding between layers. The influence of different parameters on the layer thickness and width was studied quantitatively. At last, the optimal parameter was used to fabricate complex metal parts to demonstrate the feasibility of this new technology compared with other AM methods.


Micromachines ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1509
Author(s):  
Yongjin Chen ◽  
Shuhong Ba ◽  
Hui Ren

In order to solve the problems of the complicated forming process, poor adaptability, low safety, and high cost of special-shaped energetic grains, light-curing 3D printing technology was applied to the forming field of energetic grains, and the feasibility of 3D printing (additive manufacturing) complex special-shaped energetic grains was explored. A photocurable resin was developed. A demonstration formula of a 3D printing energetic slurry composed of 41 wt% ultra-fine ammonium perchlorate (AP), 11 wt% modified aluminum (Al), and 48 wt% photocurable resin was fabricated. The special-shaped energetic grains were successfully 3D printed based on light-curing 3D printing technology. The optimal printing parameters were obtained. The microstructure, density, thermal decomposition, combustion performance, and mechanical properties of the printed grain were characterized. The microstructure of the grain shows that the surface of the grain is smooth, the internal structure is dense, and there are no defects. The average density is 1.606 g·cm−3, and the grain has good uniformity and stability. The thermal decomposition of the grain shows that it can be divided into three stages: endothermic, exothermic, and secondary exothermic, and the Al of the grain has a significant catalytic effect on the thermal decomposition of AP. The combustion performance of the grain shows that a uniform flame with a one-way jet is produced, and the average burning rate is 5.11 mm·s−1. The peak pressure of the sample is 45.917 KPa, and the pressurization rate is 94.874 KPa·s−1. The analysis of the mechanical properties shows that the compressive strength is 9.83 MPa and the tensile strength is 8.78 MPa.


2021 ◽  
Author(s):  
◽  
Noah Orr

<p>Over the past decade robotic fabrication in architecture has succeeded where early digital architecture has fallen short: in the synthesis of the immaterial logic of computers and the material reality of architecture.  In light of this new/profound shift architectural theorist and historian of the ‘Digital Turn’ - Mario Carpo argues: ‘We no longer are witnessing the delayed modernization of an industry, but rather an historic departure: the modern division between intellectual work and manual production, between design and realization and manual production. Through this we see traditional modes of design becoming obsolete’.  The increasing power of digital design software, the widespread availability of digital fabrication tools, and the growing complexity of our built environment, are in stark contrast to the inefficient techniques that currently hinder today’s construction industry.  Furthermore, the utilisation of concepts from nature including biomemesis, biophilia, swarm tectonics, as well as cross-disciplinary influences - from the film industry to social sciences and artificial intelligence - has contributed significantly to the depth of change in the tools, and their subsequent delivery of, architecture.  Using nature and biological paradigms as a key influence for the work (specifically biological systems as defined by Menges, Wienstock and others) the thesis asks the question: How can biological theories on growth disrupt inert material perception within the discourse of 3D-printing architecture?  It seeks to consider a design and fabrication process that allows the dynamic potential found in natural systems (patterns, forms, behaviours, organisation) to design and build with far more complexity and sophistication. Such work could fore front notions of growth, evolution and natural forms of optimization compared to the current post industrialised notions of beauty. New computing capacity and assembly efficiencies should over time produce more advanced structures than are possible with current technologies.  The researcher is ‘aware’ of the range of fabrication methods available to the industry, firstly the invention of Computer Numerical Control (CNC) known primarily as a ‘subtractive method’ of machining and additive manufacturing machines (3D printers) by Charles Hull (1984) which revolutionized rapid prototyping throughout the automotive, aeronautic, and design industries.  The application of additive manufacturing workflows - in particular to the architectural field - holds significant potential to provide a fabrication method for the complex geometrical forms that substantiate the parametric design paradigm. However, contemporary attempts in mass fabrication of computer generated componentry are still costly in terms of practice, investment, and time... They are also complex in terms of assembly and co-ordination.  Using customized CAD/CAM workflow the author speculates a self-assembling ‘4-D’ architecture. As a piece of explorative design research, the thesis focuses primarily on the underlying philosophy and design methods, and looks to offer up a series of tectonic iterations that integrate form, surface and structure. These iterations have been designed and developed through complex surface pattern projection, a speculative technique developed by the author. It allows a use of direct additive 3d print to surface and enables a prototype fabrication system. This prototype system results in the production of self-assembling tension based membrane surface structures. These structures could, for example, be used for rapid deployment construction scenarios. (see final Design Research).  Resin-impregnation patterns are applied to 2-D pre-stretched form-active tension systems to induce 3-D curvature upon release. Form-finding is enabled through this method based on materials’ properties, organization and behavior. A digital tool is developed in the CAD environment that demonstrates the simulation of material behavior and its prediction under specific environmental conditions.  The methodology follows a systematic design-led research approach, in which physical form finding techniques, developed throughout the 19th and 20th centuries, are digitized via parametric 3D modelling software. Extensive physical modelling and analysis is conducted into a biomimetic approach to the design of fabric tensegrity surface structures, and their CNC fabrication potential explored. This research demonstrates the association between geometry and material behavior, specifically the elastic properties of resin impregnated Lycra membranes, by means of homogenizing protocols which translate physical properties into geometrical functions.  The work challenges the shifting role of the architect from that of an assembler of inert (discrete) material parts towards that of ‘an orchestrator of material effects’. This shift in role is enabled through the affordances of computational design tools, and emerging fabrication methods. Conclusions are drawn from the physical and digital explorations which redefine generative material-based design computation, supporting a synergetic approach to design integrating form, structure, material and environment.  How can biological theories on growth disrupt inert material perception within the discourse of 3D-printing architecture?</p>


2019 ◽  
Vol 3 (2) ◽  
pp. 27-37 ◽  
Author(s):  

This report is influencing infill density and layer thickness on mechanical strength of Poly-lactic Acid (PLA) material in three-dimensional printing machine. According to use Additive Manufacturing technology in PLA material used Fused Deposition Modeling (FDM) technique. In this project, nine samples are tested for different infill pattern (Zig zag, Triangles & Grid) and different layer thickness (0.2, 0.1 & 0.15) mm by using Taguchi Method. Here we demonstrate an empirical method utilizing a statistical design of experiment technique and standardized mechanical testing which ultimately exposes trends and variable interactions specific to our selected additive manufacturing process. We collect data then converted to stress and strain values in order to construct stress vs. strain diagram and try to use a few basic formulas, mechanical properties such as modulus, yield stress, ultimate tensile stress, and percent elongation were able to be determined for each geometrical infill density and thickness layers. The results for each sample were then compared and made design of experiments (DoE) for research best design and quality. A computer simulation like NX was also done in order to reflect on the predictability of the printed specimen’s performance. The aim of doing this report is how to operate 3D printing and use relevant application such as NX, Cura Software, Weka, Minitab, MATLAB and implementation of tensile strength for our samples.


Author(s):  
Zhaowei Xiang ◽  
Ming Yin ◽  
Zhenbo Deng ◽  
Xiaoqin Mei ◽  
Guofu Yin

The forming process of powder bed for additive manufacturing (AM) is analyzed and is simplified to three processes, including random packing, layering, and compression. The processes are simulated by using the discrete element method (DEM). First, the particles with monosize, bimodal, and Gaussian size distributions are randomly packed. Then, the packed particles are layered with different thicknesses. Finally, a 20 μm compression is applied on the top surface of the layered powder beds. All the processes are simulated based on the soft sphere model. Packing density and coordination number are calculated to evaluate the packing mesostructure. The results indicate that the packing density and coordination number increase with the layer thickness increasing in the initial packing, and compression can effectively increase the density and coordination number of powder bed and decrease the effect of ranging layer thickness. The results also show that powder bed with monosize distribution initially has the best combination performance. Our research provides a theoretical guide to choosing the layer thickness and size distribution initially of powder bed for AM.


Author(s):  
Zhengkai Wu ◽  
Thomas M. Tucker ◽  
Chandra Nath ◽  
Thomas R. Kurfess ◽  
Richard W. Vuduc

In this paper, both software model visualization with path simulation and associated machining product are produced based on the step ring-based three-axis path planning to demo model-driven graphics processing unit (GPU) feature in tool path planning and 3D image model classification by GPU simulation. Subtractive 3D printing (i.e., 3D machining) is represented as integration between 3D printing modeling and computer numerical control (CNC) machining via GPU simulated software. Path planning is applied through visualization of surface material removal in high-resolution and 3D path simulation via ring selective path planning based on accessibility of path through pattern selection. First, the step ring selects critical features to reconstruct computer-aided design (CAD) design model as stereolithography (STL) voxel, and then, local optimization is attained within interested ring area for time and energy saving of GPU volume generation as compared to global automatic path planning with longer latency. The reconstructed CAD model comes from an original sample (GATech buzz) with 2D image information. CAD model for optimization and validation is adopted to sustain manufacturing reproduction based on system simulation feedback. To avoid collision with the produced path from retraction path, we pick adaptive ring path generation and prediction in each planning iteration, which may also minimize material removal. Moreover, we did partition analysis and G-code optimization for large-scale model and high density volume data. Image classification and grid analysis based on adaptive 3D tree depth are proposed for multilevel set partition of the model to define no cutting zones. After that, accessibility map is computed based on accessibility space for rotational angular space of path orientation to compare step ring-based pass planning verses global path planning of all geometries. Feature analysis via central processing unit (CPU) or GPU processor for GPU map computation contributes to high-performance computing and cloud computing potential through parallel computing application of subtractive 3D printing in the future.


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