scholarly journals A Data-Driven Framework to Predict Fused Filament Fabrication Part Properties Using Surrogate Models and Multi-Objective Optimisation

2021 ◽  
Author(s):  
Yongjie Zhang ◽  
Joon Phil Choi ◽  
Seung Ki Moon
Keyword(s):  
Process Parameters ◽  
Surrogate Models ◽  
Data Driven ◽  
Functional Requirements ◽  
Fused Filament Fabrication ◽  
Process Maps ◽  
Multi Objective ◽  
Critical Process Parameters ◽  
Critical Process

Abstract In additive manufacturing (AM), due to large number of process parameters and multiple responses of interest, it is hard for AM designers to attain optimal part performance without a systematic approach. In this research, a data-driven framework is proposed to achieve the desired AM part performance and quality by predicting part properties and optimizing AM process parameters effectively and efficiently. The proposed framework encompasses efficient sampling of design space and establishing the initial experiment points. Based on established empirical data, surrogate models, are used to characterise influence of critical process parameters on responses on interest. Further, process maps can be generated for enhancing understanding on the influence of process parameters on responses of interests and AM process characteristics. Subsequently, multi-objective optimisation coupled with a multi criteria decision making technique is applied to determine an optimal design point, which maximises the identified responses of interest to meet the part functional requirements. A case study is used to validate the proposed framework for optimising an ULTEM™ 9085 fused filament fabrication part to meet its functional requirements of surface roughness and mechanical strength. From the case study, results indicate that the proposed approach is able to achieve good predictive results for responses of interest with a relatively small dataset. Further, process maps generated from the surrogate model provide a visual representation of the influence between responses of interest and critical process parameters for FFF process, which traditionally requires multiple investigations to arrive at similar conclusions.

scholarly journals An Optimization-Based Framework to Define the Probabilistic Design Space of Pharmaceutical Processes with Model Uncertainty

Processes ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 96 ◽  
Author(s):  
Daniel Laky ◽  
Shu Xu ◽  
Jose Rodriguez  ◽  
Shankar Vaidyaraman  ◽  
Salvador García Muñoz  ◽  
...  
Keyword(s):  
Process Parameters ◽  
Model Uncertainty ◽  
Design Space ◽  
Probabilistic Design ◽  
Industrial Case Study ◽  
Simulation Based ◽  
Critical Process Parameters ◽  
Input Variables ◽  
Critical Process

To increase manufacturing flexibility and system understanding in pharmaceutical development, the FDA launched the quality by design (QbD) initiative. Within QbD, the design space is the multidimensional region (of the input variables and process parameters) where product quality is assured. Given the high cost of extensive experimentation, there is a need for computational methods to estimate the probabilistic design space that considers interactions between critical process parameters and critical quality attributes, as well as model uncertainty. In this paper we propose two algorithms that extend the flexibility test and flexibility index formulations to replace simulation-based analysis and identify the probabilistic design space more efficiently. The effectiveness and computational efficiency of these approaches is shown on a small example and an industrial case study.

scholarly journals Designing ultra-small nanostructured lipid carriers: critical process parameters

2020 ◽  
Author(s):  
Maria Mendes ◽  
João Basso ◽  
João Sousa ◽  
Alberto Pais ◽  
Carla Vitorino
Keyword(s):  
Process Parameters ◽  
Nanostructured Lipid Carriers ◽  
Critical Process Parameters ◽  
Critical Process

scholarly journals Application of Statistical Design to Assess the Critical Process Parameters of Ethanol Injection Method for the Preparation of Liposomes

2019 ◽  
Vol 18 (1) ◽  
pp. 103-111 ◽  
Author(s):  
Sayani Bhattacharyya ◽  
Bharani S Sogali
Keyword(s):  
Particle Size ◽  
Process Parameters ◽  
Particle Size Analysis ◽  
Polydispersity Index ◽  
Size Analysis ◽  
Ethanol Injection ◽  
Injection Method ◽  
Critical Process Parameters ◽  
Critical Process ◽  
Ethanol Injection Method

In the present study custom screening design was employed to observe the effect of four critical process parameters on particle size and polydispersity index of the liposomal formulation made by ethanol injection method. The four process parameters selected were lipid ratio, rate of injection, phase volume ratio and rotational speed of magnetic stirring. Eight different liposomal formulations were prepared using the design. The formulations were subjected to particle size analysis. The analysis was done at a significance level p<0.05 and found that the process parameters had significant effect on the particle size and polydispersity index of the formulations. The design was optimized for the individual responses with an overall desirability of more than 50%. Three batches of liposomes were formulated at optimized process parameters which matched the target as predicted by the design. Therefore, it can be concluded that the design was effective in production of nano sized stable monodisperse liposomes by ethanol injection method. Dhaka Univ. J. Pharm. Sci. 18(1): 103-111, 2019 (June)

scholarly journals Aeration and Shear Stress Are Critical Process Parameters for the Production of Oncolytic Measles Virus

2019 ◽  
Vol 7 ◽  
Author(s):  
Tanja A. Grein ◽  
Daniel Loewe ◽  
Hauke Dieken ◽  
Tobias Weidner ◽  
Denise Salzig ◽  
...  
Keyword(s):  
Shear Stress ◽  
Process Parameters ◽  
Measles Virus ◽  
Critical Process Parameters ◽  
Critical Process

Experimental Study on Critical Process Parameters Regarding Tension Stringing Construction of 1250mm2 Large-Section Conductor

2013 ◽  
Vol 448-453 ◽  
pp. 2036-2039
Author(s):  
Chun Hua Hu ◽  
Yong Jun Xia ◽  
Junz Hang Li
Keyword(s):  
Experimental Study ◽  
Process Parameters ◽  
Construction Process ◽  
Test Plan ◽  
Large Section ◽  
Critical Process Parameters ◽  
Critical Process ◽  
Test Rack

Critical construction process parameters and necessity of experimental study concerning tension stringing of large-section conductor are elaborated in this paper and in addition, test details related to critical process parameters of tension stringing construction is researched by citing the example of 1250mm2 large-section conductor, according to which test plan is worked out and test rack is designed.

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