Performance of predicting surface quality model using softcomputing, a comparative study of results

This paper describes a comparative study of performance of two models predicting surface quality in high-speed milling (HSM) processes using two different machining centers. The models were created with experimental data obtained from two machine-tools with different characteristics, but using the s...

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Autores:

Correa Valencia, Maritza
Flores, Víctor
Quinonez, Alma Yadira

Tipo de recurso:

Part of book

Fecha de publicación:

2017

Institución:

Universidad Autónoma de Occidente

Repositorio:

RED: Repositorio Educativo Digital UAO

Idioma:

eng

OAI Identifier:

oai:red.uao.edu.co:10614/11616

Acceso en línea:

http://hdl.handle.net/10614/11616
https://link.springer.com/chapter/10.1007/978-3-319-59773-7_51
https://link.springer.com/content/pdf/10.1007%2F978-3-319-59773-7.pdf
https://doi.org/10.1007/978-3-319-59740-9_23

Palabra clave:

Center kernel alignment
Feature selection
Feature selection
Human motion
Kinematics
Motion capture data
Principal component analysis
Relevance
Machining
Milling (metal-work)
Bayesian statistical decision theory
Mecanizado
Fresado (metalistería)
Teoría bayesiana de decisiones estadísticas
Manufacturing processes
High-speed machining
Micromachining
Mecanizado de alta velocidad
Procesos de manufactura
Corte de metales

Rights

openAccess

License

Derechos Reservados - Universidad Autónoma de Occidente