Robust Part Quality by Controlling the Injection Moulding Process with 24 Fraction Factorial Design: A Case Study
The author wants to use a case study to investigate the injection moulding machine parameters which will affect the horizontal length dimension of a plastic component used in digital camera. Currently the injection moulding machine process setting caused variations in the diameter exceeding the spec...
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| Other Authors: | |
| Format: | Conference Paper |
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Institute of Electrical and Electronics Engineers, Inc.
2010
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| Online Access: | http://hdl.handle.net/20.500.11937/17347 |
| _version_ | 1848749441926823936 |
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| author | Sokkalingam, Rajalingam |
| author2 | Ms. Zhang Ting |
| author_facet | Ms. Zhang Ting Sokkalingam, Rajalingam |
| author_sort | Sokkalingam, Rajalingam |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The author wants to use a case study to investigate the injection moulding machine parameters which will affect the horizontal length dimension of a plastic component used in digital camera. Currently the injection moulding machine process setting caused variations in the diameter exceeding the specification limit. Therefore the experiment is needed to identify the process factors that could be set to maintain the horizontal length dimension closest to the target value and smallest possible variation. The experimental model is used to investigate four factors to identify the factors having large effect by using the Full Factorial Design of Experiment (DOE). The experiment has emphasized the use of these designs in identifying the subset of factors that are active and provide some information about the interaction. |
| first_indexed | 2025-11-14T07:21:00Z |
| format | Conference Paper |
| id | curtin-20.500.11937-17347 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:21:00Z |
| publishDate | 2010 |
| publisher | Institute of Electrical and Electronics Engineers, Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-173472017-05-30T08:01:06Z Robust Part Quality by Controlling the Injection Moulding Process with 24 Fraction Factorial Design: A Case Study Sokkalingam, Rajalingam Ms. Zhang Ting Interaction ANOVA Factors Responses DOE Target Value Specification Moulding The author wants to use a case study to investigate the injection moulding machine parameters which will affect the horizontal length dimension of a plastic component used in digital camera. Currently the injection moulding machine process setting caused variations in the diameter exceeding the specification limit. Therefore the experiment is needed to identify the process factors that could be set to maintain the horizontal length dimension closest to the target value and smallest possible variation. The experimental model is used to investigate four factors to identify the factors having large effect by using the Full Factorial Design of Experiment (DOE). The experiment has emphasized the use of these designs in identifying the subset of factors that are active and provide some information about the interaction. 2010 Conference Paper http://hdl.handle.net/20.500.11937/17347 Institute of Electrical and Electronics Engineers, Inc. fulltext |
| spellingShingle | Interaction ANOVA Factors Responses DOE Target Value Specification Moulding Sokkalingam, Rajalingam Robust Part Quality by Controlling the Injection Moulding Process with 24 Fraction Factorial Design: A Case Study |
| title | Robust Part Quality by Controlling the Injection Moulding Process with 24 Fraction Factorial Design: A Case Study |
| title_full | Robust Part Quality by Controlling the Injection Moulding Process with 24 Fraction Factorial Design: A Case Study |
| title_fullStr | Robust Part Quality by Controlling the Injection Moulding Process with 24 Fraction Factorial Design: A Case Study |
| title_full_unstemmed | Robust Part Quality by Controlling the Injection Moulding Process with 24 Fraction Factorial Design: A Case Study |
| title_short | Robust Part Quality by Controlling the Injection Moulding Process with 24 Fraction Factorial Design: A Case Study |
| title_sort | robust part quality by controlling the injection moulding process with 24 fraction factorial design: a case study |
| topic | Interaction ANOVA Factors Responses DOE Target Value Specification Moulding |
| url | http://hdl.handle.net/20.500.11937/17347 |