scholarly journals Impact of process parameters on dimensional accuracy of PolyJet 3D printed parts using grey Taguchi method

2020 ◽  
Vol 318 ◽  
pp. 01015
Author(s):  
Kyriaki-Evangelia Aslani ◽  
Apostolos Korlos ◽  
John D Kechagias ◽  
Konstantinos Salonitis
Keyword(s):  
Taguchi Method ◽  
Layer Thickness ◽  
Process Parameters ◽  
Dimensional Accuracy ◽  
Anova Analysis ◽  
Analysis Of Means ◽  
Optimization Study ◽  
Dimensional Measurements ◽  
3D Printed ◽  
Grey Taguchi

In this study, the dimensional accuracy of parts fabricated with PolyJet 3D Printing Direct process is investigated. An L4 orthogonal array was utilized as the design of experiments, while the process parameters examined are layer thickness, build style and scale. A simple prototype was proposed and specified external and internal dimensions were measured using a digital vernier calliper. Grey-Taguchi method was applied for optimizing all dimensional measurements. The effect of each parameter on dimensional accuracy has been identified using ANOM (Analysis of Means), while ANOVA (Analysis of Variances) has been performed to determine each parameter’s dominance. Additionally, the results of this study were compared with the findings of a previous optimization study in which the usual Taguchi method was used. It was concluded that 16 μm of layer thickness, glossy style and 50% scale provide the optimum dimensional results, while scale is the most important factor.

scholarly journals On the application of grey Taguchi method for benchmarking the dimensional accuracy of the PLA fused filament fabrication process

2020 ◽  
Vol 2 (6) ◽  
Author(s):  
Kyriaki-Evangelia Aslani ◽  
Konstantinos Kitsakis ◽  
John D. Kechagias ◽  
Nikolaos M. Vaxevanidis ◽  
Dimitrios E. Manolakos
Keyword(s):  
Taguchi Method ◽  
Dimensional Accuracy ◽  
Fabrication Process ◽  
Fused Filament Fabrication ◽  
Grey Taguchi

scholarly journals Multi-objective optimization of ciprofloxacin antibiotic removal from an aqueous phase with grey taguchi method

2018 ◽  
Vol 16 (4) ◽  
pp. 530-541 ◽  
Author(s):  
M. Salari ◽  
G. R. Rakhshandehroo ◽  
M. R. Nikoo
Keyword(s):  
Taguchi Method ◽  
Grey Relational Analysis ◽  
Water Soluble ◽  
H2o2 Concentration ◽  
Multi Objective Optimization ◽  
Anova Analysis ◽  
Multi Objective ◽  
Relational Analysis ◽  
Grey Relational ◽  
Grey Taguchi

Abstract Optimization methods are used to study and survey the optimal values for input factors and effect of optimized parameters on response variables. In this study, the effect of different factors on ciprofloxacin (CIP) removal of water soluble was studied. In this regard, a multi-objective optimization was performed utilizing the Taguchi method based on a grey relational analysis. Optimum levels of factors were determined to optimize three responses simultaneously with grey Taguchi. Meanwhile, grey relational analysis was applied to model and optimize three target responses, namely, CIP removal, chemical oxygen demand (COD) removal, and sludge to iron ratio. Multi-objective optimization results obtained based on grey relational analysis showed that the optimal value of the input factors were CIP concentration of 100 mg/L, H2O2 concentration of 100 mM, Fe(II) concentration of 10 mM, pH of 3, and a reaction time of 15 min. To confirm the results, the values obtained through a confirmation test were examined. Multi-objective optimization results from process factors were determined by analysis of variance (ANOVA) analysis and grey Taguchi method. Based on ANOVA analysis for the grey relational grade, Fe(II) concentration and H2O2 concentration were found to be the most influencing factors.

Study the precision of fixed partial dentures of Co-Cr alloys cast over 3D printed prototypes

2018 ◽  
Vol 1 (90) ◽  
pp. 25-32 ◽  
Author(s):  
Ts. Dikova ◽  
Dzh. Dzhendov ◽  
Iv. Katreva ◽  
Ts. Tonchev
Keyword(s):  
Surface Roughness ◽  
Layer Thickness ◽  
Dimensional Accuracy ◽  
Average Roughness ◽  
Dental Clinics ◽  
Primary Model ◽  
3D Printers ◽  
3D Printed ◽  
The Right ◽  
Printed Patterns

Purpose: of this paper is to investigate the accuracy of Co-Cr dental bridges, manufactured using 3D printed cast patterns. Design/methodology/approach: Four-unit dental bridges are fabricated from the alloys i-Alloy and Biosil-f by lost-wax process. The polymeric cast patterns are 3D printed with different layer’s thickness (13 μm, 35 μm and 50 μm). Two 3D printers are used: stereolithographic “Rapidshape D30” and ink-jet “Solidscape 66+”. The geometrical and fitting accuracy as well as the surface roughness are investigated. Findings: It is established that Co-Cr bridges, casted from 3D printed patterns with 50 μm layer thickness, characterize with the largest dimensions – 3.30%-9.14% larger than those of the base model. Decreasing the layer thickness leads to dimensional reduction. The dimensions of the bridges, casted on patterns with 13 μm layer thickness, are 0.17%-2.86% smaller compared to the primary model. The average roughness deviation Ra of the surface of Co-Cr bridges, manufactured using 3D printed patterns, is 3-4 times higher in comparison to the bridge-base model. The greater the layer thickness of the patterns, the higher Ra of the bridges. The silicone replica test shows 0.1-0.2 mm irregular gap between the bridge retainers and abutments of the cast patterns and Co-Cr bridges. Research limitations/implications: Highly precise prosthetic constructions, casted from 3D printed patterns, can be produced only if the specific features of the 3D printed objects are taken in consideration. Practical implications: Present research has shown that the lower the thickness of the printed layer of cast patterns, the higher the dimensional accuracy and the lower the surface roughness. Originality/value: The findings in this study will help specialist in dental clinics and laboratories to choose the right equipment and optimal technological regimes for production of cast patterns with high accuracy and low surface roughness for casting of precise dental constructions.

Optimization of process parameters using the Grey-Taguchi method and experimental validation in TRIP-assisted steel

2020 ◽  
Vol 777 ◽  
pp. 139084 ◽  
Author(s):  
Chenghao Song ◽  
Haoliang Wang ◽  
Zhenzhong Sun ◽  
Zhengying Wei ◽  
Hao Yu ◽  
...  
Keyword(s):  
Taguchi Method ◽  
Process Parameters ◽  
Experimental Validation ◽  
Optimization Of Process Parameters ◽  
Grey Taguchi

The Optimization Design Study of Selective Laser Sintering Process Parameters on the Pro-Coated Sand Mold

2011 ◽  
Vol 55-57 ◽  
pp. 853-858
Author(s):  
Rong Cheng ◽  
Xiao Yu Wu ◽  
Jian Ping Zheng
Keyword(s):  
Layer Thickness ◽  
Process Parameters ◽  
Laser Power ◽  
Selective Laser Sintering ◽  
Dimensional Accuracy ◽  
Processing Parameters ◽  
Laser Sintering ◽  
Process Variables ◽  
Scan Speed ◽  
Coated Sand

This paper presents experimental investigations on influence of important process parameters viz., laser power, scan speed, layer thickness, hatching space along with their interactions on dimensional accuracy of Selective Laser Sintering (SLS) processed pro-coated sand mold. It is observed that dimensional error is dominant along length and width direction of built mold. Optimum parameters setting to minimize percentage change in length and width of standard test specimen have been found out using Taguchi’s parameter design. Optimum process conditions are obtained by analysis of variance (ANOVA) is used to understand the significance of process variables affecting dimension accuracy. Scan speed and hatching space are found to be most significant process variables influencing the dimension accuracy in length and width. And laser power and layer thickness are less influence on the dimension accuracy. The optimum processing parameters are attained in this paper: laser power 11 W; scan speed 1200 mm/s; layer thickness 0.5 mm and hatching space 0.25 mm. It has been shown that, on average, the dimensional accuracy under this processing parameters combination could be improved by approximately up to 25% compared to other processing parameters combinations.

Investigation of selected parameters effect on 3D printed sand mold properties through Taguchi method

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guili Gao ◽  
Weikun Zhang ◽  
Zhimin Du ◽  
Qingyi Liu ◽  
Yanqing Su ◽  
...  
Keyword(s):  
Layer Thickness ◽  
Process Parameters ◽  
Bending Strength ◽  
Three Dimensional ◽  
Sand Mold ◽  
Optimal Process ◽  
Content Type ◽  
Three Point Bending ◽  
Boundary Properties ◽  
3D Printed

Purpose The major concern technologies during the processing through three-dimensional printing (3DP) are the mechanical and boundary properties of sand models. The parameters such as activator content, resolution X, layer thickness and re-coater speed play a vital role in 3DP sand components. The purpose of this paper is to recommend the optimal process parameters for the best sand mold properties. Design/methodology/approach In this paper, taking the parameters of the activator content, resolution X, layer thickness and re-coater speed as the influence factors, an orthogonal test of L16(44) was designed to discuss the influences of those parameters on the mechanical and boundary properties. Three-point bending (3PB) test was used to characterize the actual bending strength, and the boundary accuracy was assessed by the deviation of the three-point bending samples compared with its design scale. Findings The experimental results showed that the resolution X and layer thickness are the main parameters affecting sand mold properties. The strength will attain its maximum when the resolution X and layer thickness are the minimum. The optimal parameters were screened and verified by the confirmation test. The optimal process parameters for best strength and less gas evolution are the activator of 0.19%, resolution X of 0.1 mm, layer thickness of 0.28 mm and re-coater speed of 210 mm/s. Originality/value The novelty of this paper is the select of significant parameters on 3D-printed sand model properties. A mathematical model was built to analyze the effect of these parameters. The optimal process parameters for the best properties were got.

A Benchmark Artifact to Evaluate the Manufacturing of Microfeatures by Digital Light Processing Stereolithography

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Lara Rebaioli ◽  
Irene Fassi
Keyword(s):  
Layer Thickness ◽  
Exposure Time ◽  
Process Parameters ◽  
Dimensional Accuracy ◽  
Main Process ◽  
Process Performance ◽  
Digital Light Processing ◽  
Specific Process ◽  
Experimental Campaign ◽  
Increasing Demand

Abstract Suitable benchmark artifacts are needed for assessing the technological capabilities and limitations of a specific process or for comparing the performances of different processes. Only a few benchmark artifacts have been specifically designed for features with microscale dimensions, even if their manufacturing is becoming very common due to the increasing demand for miniaturized parts or objects with microscale features. In this study, a suitable benchmark part is designed to evaluate the geometrical performance of a digital light processing (DLP) stereolithography (SLA) system for manufacturing microfeatures. The effect of the main process parameters (i.e., layer thickness and exposure time) and the feature position within the building platform on the process performance was assessed by a specifically studied experimental campaign. The results show that both the analyzed process parameters influence the minimum feasible size of protruding features and that the feature position influences the dimensional accuracy.

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