Robotic mirror finishing KPV (key process variable) optimization in the aerospace industry

The Aerospace industry has a strong demand for high finish quality in metals, for providing better aerodynamic and mechanical properties, and therefore forcing finishing processes, like polishing, to reach new standards that manual operations are unlikely to deliver. Major concerns rise when perform...

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Main Author: Ortiz, Walter Frank Pintor
Other Authors: David Lee Butler
Format: Theses and Dissertations
Language:English
Published: 2015
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Online Access:https://hdl.handle.net/10356/65497
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-654972023-03-11T17:55:44Z Robotic mirror finishing KPV (key process variable) optimization in the aerospace industry Ortiz, Walter Frank Pintor David Lee Butler School of Mechanical and Aerospace Engineering DRNTU::Engineering::Aeronautical engineering The Aerospace industry has a strong demand for high finish quality in metals, for providing better aerodynamic and mechanical properties, and therefore forcing finishing processes, like polishing, to reach new standards that manual operations are unlikely to deliver. Major concerns rise when performing a polishing process rise, such as repeatability, consistency in force applied and optimization in time. Special developed robotized solutions, utilizing fotce control, open an unexplored new window, providing alternatives of operation to improve surface texture characteristics when reducing time. Creating a system capable of producing surface with mirror finish quality is the strategy to be developed in this project. Thanks to methods developed previously for designing experiments, such as the Taguchi method, working parameters are encountered and tuned. Later, using the ANOVA method allows the class definition of the variables and their pertinence in the overall experimentation. Measurements may prove to be challenging as the instrumentation requires higher resolution. Profile measurements, as well as microscopic views, perform a path to understand the evolution and implications the working parameters have on the surface texture and specifically, the roughness average quality. Materials such as Stainless Steel, employed for aerospace, have common applications in the fabrication of exhaust collectors, stacks and manifolds, structural and machined parts, springs, castings, tie rods, and control cables; among important factors and depending on the operating environment, light alloys and metals with mirror finish quality can be used for almost any part in aircrafts. In this research, the author has placed great emphasis involving force control technology in industrial robots, design of experiments, Taguchi method, ANOVA analysis and mirror polishing processes. MASTER OF ENGINEERING (MAE) 2015-10-09T04:44:08Z 2015-10-09T04:44:08Z 2015 2015 Thesis Ortiz, W. F. P. (2015). Robotic mirror finishing KPV (key process variable) optimization in the aerospace industry. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/65497 10.32657/10356/65497 en 108 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Aeronautical engineering
spellingShingle DRNTU::Engineering::Aeronautical engineering
Ortiz, Walter Frank Pintor
Robotic mirror finishing KPV (key process variable) optimization in the aerospace industry
description The Aerospace industry has a strong demand for high finish quality in metals, for providing better aerodynamic and mechanical properties, and therefore forcing finishing processes, like polishing, to reach new standards that manual operations are unlikely to deliver. Major concerns rise when performing a polishing process rise, such as repeatability, consistency in force applied and optimization in time. Special developed robotized solutions, utilizing fotce control, open an unexplored new window, providing alternatives of operation to improve surface texture characteristics when reducing time. Creating a system capable of producing surface with mirror finish quality is the strategy to be developed in this project. Thanks to methods developed previously for designing experiments, such as the Taguchi method, working parameters are encountered and tuned. Later, using the ANOVA method allows the class definition of the variables and their pertinence in the overall experimentation. Measurements may prove to be challenging as the instrumentation requires higher resolution. Profile measurements, as well as microscopic views, perform a path to understand the evolution and implications the working parameters have on the surface texture and specifically, the roughness average quality. Materials such as Stainless Steel, employed for aerospace, have common applications in the fabrication of exhaust collectors, stacks and manifolds, structural and machined parts, springs, castings, tie rods, and control cables; among important factors and depending on the operating environment, light alloys and metals with mirror finish quality can be used for almost any part in aircrafts. In this research, the author has placed great emphasis involving force control technology in industrial robots, design of experiments, Taguchi method, ANOVA analysis and mirror polishing processes.
author2 David Lee Butler
author_facet David Lee Butler
Ortiz, Walter Frank Pintor
format Theses and Dissertations
author Ortiz, Walter Frank Pintor
author_sort Ortiz, Walter Frank Pintor
title Robotic mirror finishing KPV (key process variable) optimization in the aerospace industry
title_short Robotic mirror finishing KPV (key process variable) optimization in the aerospace industry
title_full Robotic mirror finishing KPV (key process variable) optimization in the aerospace industry
title_fullStr Robotic mirror finishing KPV (key process variable) optimization in the aerospace industry
title_full_unstemmed Robotic mirror finishing KPV (key process variable) optimization in the aerospace industry
title_sort robotic mirror finishing kpv (key process variable) optimization in the aerospace industry
publishDate 2015
url https://hdl.handle.net/10356/65497
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