Optimization of the Shaft Machining Process Using 2k Factorial Design

de Assis Dornelles, Jéssica; da Silva, Jassen; Lerman, Laura; Frank, Alejandro

doi:10.46254/SA02.20210514

Back

2nd South American International Conference on Industrial Engineering and Operations Management

Optimization of the Shaft Machining Process Using 2k Factorial Design

Download PDF

Jéssica de Assis Dornelles , Jassen da Silva , Laura Lerman & Alejandro Frank

Publisher: IEOM Society International

7 Views

15 Downloads

Track: Engineering Education

Optimizing a shaft machining process is critical to reaching the quality requirements specified by the customer. Thus, the study's objective is to define the appropriate parameters to optimize the axle machining process used in a didactic experiment in a laboratory of manufacturing processes in a public university. For this, an Experimental Project was carried out to reach the best fit to minimize the shaft shape error and improve the process quality. To develop this study, the experiment design is based on the 2K factorial design methodology and ANOVA analysis. The findings show that the shape error is related to the interaction between feed rate, depth of cut and tool tip radius.

Published in: 2nd South American International Conference on Industrial Engineering and Operations Management

Publisher: IEOM Society International
Date of Conference: April 5 -8 , 2021

ISBN: 978-1-7923-6125-8
ISSN/E-ISSN: 2169-8767

https://doi.org/10.46254/SA02.20210514

Related Research

The Application of Student-Centred Learning Method in Theory-based and Studio-based Online Courses.

3rd Asia Pacific International Conference on Industrial Engineering and Operations Management

Published: 2022

Improving Industrial Engineering Student' Soft Skill Using Project-based Learning (PjBL) Method

3rd Asia Pacific International Conference on Industrial Engineering and Operations Management

Published: 2022

Developing Data Analytics Skills for Complex Thinking Among Tomorrow’s Global Engineering Leaders

5th European International Conference on Industrial Engineering and Operations Management

Published: 2022