An Inter Disciplinary Project Combining Cnc Machining And Design Of Experiments
- Conference
- Location
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Chicago, Illinois
- Publication Date
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June 18, 2006
- Start Date
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June 18, 2006
- End Date
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June 21, 2006
- ISSN
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2153-5965
- Conference Session
- Tagged Division
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Industrial Engineering
- Page Count
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8
- Page Numbers
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11.199.1 - 11.199.8
- DOI
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10.18260/1-2--1113
- Permanent URL
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https://peer.asee.org/1113
- Download Count
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423
Paper Authors
William Scheller Kettering University
Tony Lin Kettering University
TONY LIN, Ph.D. is a professor of Industrial Engineering at Kettering University. His special areas are in Reliability and Quality Engineering, Design of Experiments, and Applied Statistics. He has actively involved in research and consulting in these areas. Dr. Lin is a Certified Reliability Engineer and a member of ASEE and ASQ.
Abstract
NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract
An Inter-disciplinary Project combining CNC Machining and Design of Experiments
Introduction
A key requirement for graduating engineers is the ability to work successfully on inter-disciplinary teams. Each of the team members brings different knowledge and skills to the team. This project, a joint project between courses in Computer Numerical Control (CNC) machining and Design of Experiments (DoE), provided the opportunity for industrial, manufacturing, and mechanical engineering students to investigate some of the key factors (parameters or variables) related to machining process.
Machining is a multi-billion dollar industry. It is critical for machining operations to manage both quality of part and cutting tools life. Quality of part includes conform dimensional specification and surface finish requirements of the part. Cutting tool life governs not only the cost of individual cutting tools, but the amount of time and money spent to change tools, when a tool is worn out. The cost of a tool change may easily exceed the cost of the cutting tool itself. It is clearly in the interest of the manufacturer to optimize tool life and part quality. Designed experiments are a useful statistical tool for this type of investigation. In this project, the focus was on using DoE to select the best tool geometry and cutting conditions.
An Integrated Project using Designed Experiments
The first step in the methodology was to define the problem for the students. The problem was to design and perform an experiment using a 24 factorial design, which would address the problem of optimizing cutting conditions using factors of feed, speed, depth of cut, and cutting tool geometry. The outputs measured were surface finish of the part and wear of the tool. In this paper, the authors used one team project to show how the experimental design was generated, data collected and analyzed, and practical conclusions obtained. Only surface finish data were shown in this paper.
Based on the discussions and feasibility of the lab schedule, the factors and levels chosen for the experiment are shown in Table 1.
Scheller, W., & Lin, T. (2006, June), An Inter Disciplinary Project Combining Cnc Machining And Design Of Experiments Paper presented at 2006 Annual Conference & Exposition, Chicago, Illinois. 10.18260/1-2--1113
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