Variation propagation modelling in multistage machining processes using dual quaternions

Yacob, Filmon; Semere, Daniel

doi:10.1007/s00170-020-06263-0

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…Therefore, the w/w % distributions for most of the chemicals were skewed to one side. Yacob [ 18 ] explained in his thesis that production engineering aims to reduce the variations in the components in the manufacturing process to reach higher efficiencies. Similarly, UMTR Co., Ltd. narrowed down the chemical composition ranges to optimize their processes, which may have contributed to the skewness observed in some distributions.…”

Section: Resultsmentioning

confidence: 99%

Predicting the wicking rate of nitrocellulose membranes from recipe data: a case study using ANN at a membrane manufacturing in South Korea

Dissanayake,

Kang,

Park

et al. 2024

ANAL. SCI.

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Lateral flow assays have been widely used for detecting coronavirus disease 2019 (COVID-19). A lateral flow assay consists of a Nitrocellulose (NC) membrane, which must have a specific lateral flow rate for the proteins to react. The wicking rate is conventionally used as a method to assess the lateral flow in membranes. We used multiple regression and artificial neural networks (ANN) to predict the wicking rate of NC membranes based on membrane recipe data. The developed ANN predicted the wicking rate with a mean square error of 0.059, whereas the multiple regression had a square error of 0.503. This research also highlighted the significant impact of the water content on the wicking rate through images obtained from scanning electron microscopy. The findings of this research can cut down the research and development costs of novel NC membranes with a specific wicking rate significantly, as the algorithm can predict the wicking rate based on the membrane recipe. Graphical abstract Correlation matrix displaying the distribution of the variables and linear correlations

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Section: Resultsmentioning

confidence: 99%

Predicting the wicking rate of nitrocellulose membranes from recipe data: a case study using ANN at a membrane manufacturing in South Korea

Dissanayake,

Kang,

Park

et al. 2024

ANAL. SCI.

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“…The above equations are used to transform an object represented by a set of planes and/or set of points. More detailed derivations of dual quaternions operations can be found in [44][45][46].…”

Section: Dual Quaternionsmentioning

confidence: 99%

Variation propagation modeling in multistage machining processes considering form errors and N-2-1 fixture layouts

Yacob

Semere

Anwer

2021

Int J Adv Manuf Technol

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Variation propagation modeling of multistage machining processes enables variation reduction by making an accurate prediction on the quality of a part. Part quality prediction through variation propagation models, such as stream of variation and Jacobian-Torsor models, often focus on a 3-2-1 fixture layout and do not consider form errors. This paper derives a mathematical model based on dual quaternion for part quality prediction given parts with form errors and fixtures with N-2-1 (N>3) layout. The method uses techniques of Skin Model Shapes and dual quaternions for a virtual assembling of a part on a fixture, as well as conducting machining and measurement. To validate the method, a part with form errors produced in a two-stationed machining process with a 12-2-1 fixture layout was considered. The prediction made following the proposed method was within 0.4% of the prediction made using a CAD/CAM simulation when form errors were not considered. These results validate the method when form errors are neglected and partially validated when considered.

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Variation Propagation Analysis and Modelling in Multistage Machining Processes

Peng,

Han,

Peng

2023

2023 14th International Conference on Mechanical and Aerospace Engineering (ICMAE)

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Variation propagation modelling in multistage machining processes using dual quaternions

Cited by 3 publications

References 27 publications

Predicting the wicking rate of nitrocellulose membranes from recipe data: a case study using ANN at a membrane manufacturing in South Korea

Predicting the wicking rate of nitrocellulose membranes from recipe data: a case study using ANN at a membrane manufacturing in South Korea

Variation propagation modeling in multistage machining processes considering form errors and N-2-1 fixture layouts

Variation Propagation Analysis and Modelling in Multistage Machining Processes

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