Experimental and Theoretical Investigations of Support Structure Features and Build Time Management in PolyJet Technology

2022 ◽  
pp. 1101-1119
Author(s):  
Arivazhagan Pugalendhi ◽  
Rajesh Ranganathan ◽  
Balamurugan Gopalakrishnan
Keyword(s):  
Time Management ◽  
Support Structure ◽  
Theoretical Investigations ◽  
Build Time

Multi-Direction Slicing for Layered Manufacturing

2000 ◽  
Author(s):  
Prabhjot Singh ◽  
Debasish Dutta
Keyword(s):  
Surface Quality ◽  
Layered Manufacturing ◽  
Support Structure ◽  
Surface Accuracy ◽  
Build Time ◽  
Limited Surface

Abstract Parts made by Layered Manufacturing (LM) have a limited surface accuracy and their build time is often long due to the deposition of sacrificial support structure. However, LM machines with an ability to deposit along multiple directions can improve upon the surface quality and reduce the support volume. In this paper we consider multi-directional slicing, present algorithms and implemented examples.

Multi-Objective Build Orientation Optimization for Powder Bed Fusion by Laser

2017 ◽  
Author(s):  
Salah Eddine Brika ◽  
Justin Mezzetta ◽  
Mathieu Brochu ◽  
Yaoyao Fiona Zhao
Keyword(s):  
Mechanical Properties ◽  
Surface Roughness ◽  
Integrated Approach ◽  
Powder Bed Fusion ◽  
Support Structure ◽  
Powder Bed ◽  
Build Orientation ◽  
Multi Objective ◽  
Build Time ◽  
Process Factors

This paper proposes an integrated approach to determine optimal build orientation for Powder bed fusion by laser (PBF-L), by simultaneously optimizing mechanical properties, surface roughness, the amount of support structure and build time-cost. Experimental data analysis has been used to establish the objective functions for different mechanical properties and surface roughness. Geometry analysis of the part has been used to estimate the needed support structure and thus evaluate the build time and cost. Normalized weights are assigned to different objectives depending on their relative importance allowing solving the multi-objective optimization problem using a genetic optimization algorithm. A study case is presented to demonstrate the capabilities of the developed system. The major achievements of this work are the consideration of multiple objectives, the establishment of objective function considering different load direction and heat treatments. A user-friendly graphical user interface was developed allowing to control different optimization process factors and providing different visualization and evaluation tools.

Multi-Direction Slicing for Layered Manufacturing

2001 ◽  
Vol 1 (2) ◽  
pp. 129-142 ◽  
Author(s):  
Prabhjot Singh ◽  
Debasish Dutta
Keyword(s):  
Surface Quality ◽  
Layered Manufacturing ◽  
Support Structure ◽  
Surface Accuracy ◽  
Build Time ◽  
Key Issues ◽  
Limited Surface ◽  
Task Framework

Parts made by Layered Manufacturing (LM) have a limited surface accuracy and their build time is often long due to the deposition of sacrificial support structure. However, LM machines with an ability to deposit along multiple directions can improve upon the surface quality and reduce the support volume. In this paper we analyze the problem of multi-direction slicing. This analysis addresses the questions: How much of a part should be made along a particular direction and why. The strategy used in multi-direction slicing is to progressively decompose the part into sub-volumes, each of which can be completely built along a certain direction. Key issues are identified and a task framework for multidirection slicing is proposed. Algorithms and implemented examples are presented.

Adaptive Slicing for a Five-Axis Laser Aided Manufacturing Process

2001 ◽  
Author(s):  
Jun Zhang ◽  
F. W. Liou
Keyword(s):  
Manufacturing Process ◽  
Degrees Of Freedom ◽  
Side Surface ◽  
Thin Wall ◽  
Support Structure ◽  
Additive Process ◽  
Adaptive Slicing ◽  
Automated Method ◽  
Build Time ◽  
Five Axis

Abstract The Laser Aided Manufacturing Process (LAMP) is an additive process similar to laser cladding. It can produce fully functional parts because the process is material independent. The traditional layered manufacturing (LM) processes with fixed build direction have a limited surface accuracy and their build time is often long due to the deposition of sacrificial support structure. The multiple degrees of freedom allow the LAMP system to build a part without support structure and with better surface quality; however, an automated method for path planning of such a multi-axis system is necessary. An algorithm of adaptive slicing for five-axis LAMP is presented in this paper, which can generate optimal slices to achieve deposition without support structures. Different from the current adaptive slicing, this technique varies not only in layer thickness but also in slicing direction. The slicing direction is determined by a marching algorithm, which is based on the surface normal of points on the side surface of the current slice. Two techniques are adapted to build the overhang between two adjacent layers: thin wall deposition and direct overhang deposition based on surface tension.

scholarly journals Multi Objective Optimization of Fused Deposition Modeling Parameters for PC/ABS Blend Material Parts using GRA

2020 ◽  
Vol 9 (3) ◽  
pp. 1107-1116
Keyword(s):  
Layer Thickness ◽  
Fused Deposition Modeling ◽  
Experimental Result ◽  
Multi Objective Optimization ◽  
Support Structure ◽  
Multi Objective ◽  
Fused Deposition ◽  
Build Time ◽  
Deposition Modeling ◽  
Printing Speed

In this research, multi objective optimization is done on Fused Deposition Modeling (FDM) printing machine for Polycarbonate/Acrylonitrile Butadiene Styrene (PC/ABS) blend material parts. Reductions in part build time and material consumption without compromising its dimensional accuracy and mechanical properties are the major goals of many industries, because there is need to fulfil one part with multiple qualities. So that in this research, part printed without support structure by controlling five FDM process parameters at three levels such as layer thickness, raster width, extrusion temperature, bed temperature and printing speed by using Taguchi’s design of experiments method (L27 Orthogonal Array). This research can saves part build time, post processing time on support removal and damages occurred due to removal of support structure in part. For that, in this research effects of parameters are studied on surface roughness, build time, and flatness error of overhang structure of parts. Then Grey Relational Analysis (GRA) methodology is used for multi-objective optimization of FDM parameters to find best set of parameters for three responses. Analysis of Variance (ANOVA) is also used to find out significant parameters for multi responses and then confirmation test of experimental results also performed to verify the optimal settings of FDM parameters. The experimental result showed, layer thickness, raster width and part printing speed have the more significant effects on multiple performance characteristics.

Study of Support Structure in Solid Based Rapid Prototyping Technique – FDM Approach

2015 ◽  
Vol 799-800 ◽  
pp. 329-334 ◽  
Author(s):  
Cany Mendonsa ◽  
K.V. Naveen ◽  
Prathik Upadhyaya ◽  
Anoop ◽  
Gowda B.P. Madhu
Keyword(s):  
Rapid Prototyping ◽  
Vital Role ◽  
Material Consumption ◽  
Support Structure ◽  
Part Quality ◽  
Build Time ◽  
Material Requirement ◽  
Rapid Prototyping System ◽  
Printing Parameters ◽  
Selection Of

Support structure plays a vital role in Rapid Prototyping system in producing quality and dimensional accurate prints for a product having bridges or overhangs in a Rapid Prototyping product. The paper reports the selection of best support structure for any given model based on build time, material requirement and quality output of the prints. It also discusses the effects of introducing raft layers on a given model. A CAD model in STL (stereo lithography) format is an input to the Rapid Prototyping system. The CAD data is sliced for 3 different support structures by keeping constant printing parameters. Based on the build time, material consumption and part quality obtained, thebest support structure of any given model is experimentally found.

Improving Speech and Language Services through Effective Time Management

1983 ◽  
Vol 14 (2) ◽  
pp. 86-91 ◽  
Author(s):  
Barbara W. Travers
Keyword(s):  
Time Management ◽  
Management Strategies ◽  
Federal State ◽  
Speech Language Pathologist ◽  
School Based ◽  
Work Area ◽  
Paper Work ◽  
Areas Of Concern ◽  
State And Local ◽  
Therapeutic Services

This paper presents strategies for increasing the effectiveness and efficiency of the school-based speech-language pathologist. Various time management strategies are adapted and outlined for three major areas of concern: using time, organizing the work area, and managing paper work. It is suggested that the use of such methods will aid the speech-language pathologist in coping with federal, state, and local regulations while continuing to provide quality therapeutic services.

Time Management Activity

2018 ◽  
Author(s):  
Drew Appleby ◽  
Lindsey Herting ◽  
Sejal Schullo
Keyword(s):  
Time Management ◽  
Management Activity

Relating personality and time management behavior to perceived stress

2007 ◽  
Author(s):  
Sarah M. Haynes ◽  
James W. Grice ◽  
Thad Leffingwell ◽  
Douglas Edward Haynes
Keyword(s):  
Perceived Stress ◽  
Time Management ◽  
Management Behavior
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