Content area
Aerospace components use AMS 5643 stainless steel as a raw material. Material toughness and hardness are challenges in the roughing machining process on CNC lathes. We designed experiments combining Taguchi-Response Surface Method to optimize multi-response: cycle time, material removal rate, and cutting power. This study uses CAM Espirit TNG and Celos Tech software simulations as an experimental approach. Confirmation test results show that changing process parameters in simulation software is able to produce a response that is close to reality. This research succeeded in identifying the contribution of machining process factors and finding parameters with optimal multi-response.
Details
Subject
Response surface methodology;
Parameter identification;
Lathes;
Cycle time;
Raw materials;
Material removal rate (machining);
Taguchi methods;
Stainless steels;
Software;
Process parameters;
Optimization;
Mechanical properties;
Simulation;
Process engineering;
Optimization techniques;
Design;
Aerospace industry;
Stainless steel;
Cutting tools;
Manufacturing;
Aerospace engineering;
Aerospace materials;
Energy consumption
Parameter identification;
Lathes;
Cycle time;
Raw materials;
Material removal rate (machining);
Taguchi methods;
Stainless steels;
Software;
Process parameters;
Optimization;
Mechanical properties;
Simulation;
Process engineering;
Optimization techniques;
Design;
Aerospace industry;
Stainless steel;
Cutting tools;
Manufacturing;
Aerospace engineering;
Aerospace materials;
Energy consumption
Business indexing term
Identifier / keyword
Title
Investigation of CNC Lathe Machining Parameters for AMS 5643 using Taguchi-RSM with CAM Simulation Approach
Author
Volume
16
Issue
1
Publication year
2025
Publication date
2025
Place of publication
Warsaw
Country of publication
Poland
Publication subject
ISSN
20808208
e-ISSN
20821344
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
Online publication date
2025-02-25
Publication history
First posting date
25 Feb 2025
ProQuest document ID
3180904789
Document URL
https://www.proquest.com/scholarly-journals/investigation-cnc-lathe-machining-parameters-ams/docview/3180904789/se-2?accountid=208611
Copyright
© 2025. This work is licensed under https://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-04-01
Database
ProQuest One Academic