Título: | COLD-ROLLING PROCESS OPTIMIZATION BY MEANS EXPERIMENT PLANNING | ||||||||||||||||||||||||||||||||
Autor: |
ULISSES ROCHA GOMES |
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Colaborador(es): |
ANTONIO FERNANDO DE CASTRO VIEIRA - Orientador |
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Catalogação: | 27/JUN/2007 | Língua(s): | PORTUGUESE - BRAZIL |
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Tipo: | TEXT | Subtipo: | THESIS | ||||||||||||||||||||||||||||||
Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=10090&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=10090&idi=2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.10090 | ||||||||||||||||||||||||||||||||
Resumo: | |||||||||||||||||||||||||||||||||
This dissertation aims to develop a model by using
experiment planning
techniques applied to cold-rolling process to manufacture
special steels utilized in
the carbonated beverage market segment. The process
consists of downgauging
hot-rolled coil, which is further pickled for oxide
removal, into a coil with the
final thickness required by customer. It involves
controlled and uncontrolled
variables, which interact with one another, thus affecting
the response variable,
i..e, product´s final thickness. Some of the fundamental
questions to be asked
include: How do controlled variables affect response
variable? What are the most
influential ones? Are there interactions among such
variables? Is it possible to
work out an appropriate model to address this problem? The
fragmented factor
planning technique provides answers to the questions
raised, by breaking new
grounds in terms of using this powerful tool in
manufacturing processes , where
situations similar to those suggested by this study are
fairly common. It includes a
description of the problem, a bibliography review with the
required steps to
conduct the experiment planning, choice of controlled
variables which make up
the experiment as well as its execution, result analysis,
an approach to
Generalized Linear Models, and validation of model by
adjusting process
analysis as shown in the result analysis. Applying this
methodology and
implementing the proposed changes bolstered the process in
such a way that even
when disturbances of uncontrolled variables occur the
thickness remains within
the specified tolerances. Additionally, a further
reduction in variation ranging
from ± 1.5% to ± 1.0% was achieved, where technology
investment would be
required, thereby making steel products more expensive and
less competitive
against other competing products, thus ensuring
competitiveness.
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