Guidelines for Selection and Justification of Computeraided Engineering (CAE) Software for Plastic Injection Molding

Hdl Handle:
http://hdl.handle.net/11285/572198
Title:
Guidelines for Selection and Justification of Computeraided Engineering (CAE) Software for Plastic Injection Molding
Authors:
Serna Vázquez, Livier
Issue Date:
01/10/2004
Abstract:
The present research focuses on the use of plastic injection simulation in part design. CAE analysis for injection molding can be used at three different levels: parts design, mold design and molding process troubleshooting. Injection molded plastic parts include the following elements: material, part design, mold design and process. The injection molding process involves many considerations such as part geometry, material, mold design and process variables. The simulation module being considered in this study is the mold fill analysis (based on Cadmould, a commercial simulation system). Material, mold design, injection machine is already defined. As part of this study, complexity taxonomy for plastic parts was developed, as well as a differentiation between the engineering team involved in terms of expertise. Several information sources were used to develop a case study, which approaches a part fill time optimization. The scenario in which this optimization is made is a manufacturing plant that launches several new parts per year. These parts have different degrees of complexities. This study's main contribution is the identification and quantification of key factors regarding the cost and benefit associated with simulation for injection molding. It was concluded that the economic benefit of simulation will increase as more parts are run, whereas the level of expertise of the engineering team has a negative impact in this kind of benefit. The percentage of time saved in the case study falls between 10-30% using simulation tools.
Keywords:
Computeraided Engineering; Plastic Injection Molding; Molding Software; Computer Science
Advisors:
Dr. Ciro A. Rodríguez González
Committee Member / Sinodal:
Dr. Víctor Vázquez Lasso; Dr. Horacio Ahuett Garza
Degree Level:
Maestro en ciencias con especialidad en Sistemas de Manufactura
School:
Ingeniería y Arquitectura
Campus Program:
Campus Monterrey
Discipline:
Ingeniería y Ciencias Aplicadas / Engineering & Applied Sciences
Appears in Collections:
Ciencias Exactas

Full metadata record

DC FieldValue Language
dc.contributor.advisorDr. Ciro A. Rodríguez Gonzálezes
dc.contributor.authorSerna Vázquez, Livieren
dc.date.accessioned2015-08-17T11:23:25Zen
dc.date.available2015-08-17T11:23:25Zen
dc.date.issued01/10/2004-
dc.identifier.urihttp://hdl.handle.net/11285/572198en
dc.description.abstractThe present research focuses on the use of plastic injection simulation in part design. CAE analysis for injection molding can be used at three different levels: parts design, mold design and molding process troubleshooting. Injection molded plastic parts include the following elements: material, part design, mold design and process. The injection molding process involves many considerations such as part geometry, material, mold design and process variables. The simulation module being considered in this study is the mold fill analysis (based on Cadmould, a commercial simulation system). Material, mold design, injection machine is already defined. As part of this study, complexity taxonomy for plastic parts was developed, as well as a differentiation between the engineering team involved in terms of expertise. Several information sources were used to develop a case study, which approaches a part fill time optimization. The scenario in which this optimization is made is a manufacturing plant that launches several new parts per year. These parts have different degrees of complexities. This study's main contribution is the identification and quantification of key factors regarding the cost and benefit associated with simulation for injection molding. It was concluded that the economic benefit of simulation will increase as more parts are run, whereas the level of expertise of the engineering team has a negative impact in this kind of benefit. The percentage of time saved in the case study falls between 10-30% using simulation tools.es
dc.language.isoes-
dc.rightsOpen Accessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleGuidelines for Selection and Justification of Computeraided Engineering (CAE) Software for Plastic Injection Moldingen
dc.typeTesis de Maestríaes
dc.contributor.departmentITESMen
thesis.degree.grantorInstituto Tecnológico y de Estudios Superiores de Monterreyes
thesis.degree.levelMaestro en ciencias con especialidad en Sistemas de Manufacturaes
dc.contributor.committeememberDr. Víctor Vázquez Lassoes
dc.contributor.committeememberDr. Horacio Ahuett Garzaes
thesis.degree.disciplineIngeniería y Arquitecturaes
dc.subject.keywordComputeraided Engineeringes
dc.subject.keywordPlastic Injection Moldinges
dc.subject.keywordMolding Softwarees
dc.subject.keywordComputer Sciencees
thesis.degree.programCampus Monterreyes
dc.subject.disciplineIngeniería y Ciencias Aplicadas / Engineering & Applied Sciencesen
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