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A Study of Process Variability of the Injection Molding of Plastics Parts Using Statistical Process Control (SPC)

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Collection

2013 ASEE Annual Conference & Exposition

Location

Atlanta, Georgia

Publication Date

June 23, 2013

Start Date

June 23, 2013

End Date

June 26, 2013

ISSN

2153-5965

Conference Session

Practical Teaching

Tagged Division

Manufacturing

Page Count

9

Page Numbers

23.110.1 - 23.110.9

Permanent URL

https://peer.asee.org/19124

Download Count

319

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Paper Authors

biography

Rex C Kanu Ball State University

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Dr. Rex Kanu is the coordinator of the manufacturing engineering technology program at Ball State University, where he teaches plastics materials and processing.

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Abstract

A Study of Process Variability of the Injection Molding of Plastics Parts Using Statistical Process Control (SPC)Process variability in the manufacturing of products is a serious concern because if leftunchecked could lead to product wastes such as a scraps, low productivity, and poor qualityproducts. To prevent these unwanted effects from happening, statistical process control (SPC), astatistical tool, is used to monitor and control process variability. SPC assumes thatmanufactured products have measureable attributes such as mass, dimensions of the products,mechanical properties, and visual appearance to name a few. These attributes are affected bynatural and assignable causes. Natural causes are inherent to the process and may includevariables such as ambient temperature, machine vibration, and relative humidity; these variablesare often very difficult to control. Unlike natural causes, assignable causes are controllable andmay include items such as bad or worn-out machine components that should be replaced. Bymonitoring a process, an assignable cause is detected when process variability exceeds theexpected range caused by natural causes. The primary advantage of SPC is that it detects afaulty process, which if corrected, prevents the manufacturing of defective products unliketraditional quality control practice that identifies defective products after they have beenproduced. The traditional method of quality control leads to a costly manufacturing process.In a manufacturing engineering technology program, SPC was used to monitor and control theinjection molding of plastics parts. Students monitored several injection molding processvariables using SPC x-bar and range control charts while producing 300 plastics parts. The massof the products was used as an attribute representing parts quality. After analyzing the processdata, students were able to determine if the process was stable, that is, in control. Results of thisstudy will be presented at the annual conference. Also to be shared with the audience is thestudents’ learning outcomes that emanates from integrating SPC with the injection moldingprocess.

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