Design for Producibility in Fabricated Aerospace Components - A framework for predicting and controlling geometrical variation and weld quality defects during multidisciplinary design
Doctoral thesis, 2020
The goal of this research is to analyze the current situation in industry and academia and propose methods and tools within Engineering Design and Quality Engineering to solve producibility problems involving welded high performance integrated components.
The research group “Geometry Assurance and Robust Design” at Chalmers University of Technology, in which this thesis has been produced, has the objective to simulate and foresee geometrical quality problems during the early phases of the product realization process to allow the development of robust concepts and the optimization of tolerances, thus solving producibility problems. Virtual manufacturing is a key within the multidisciplinary design process of aerospace components, in which automated processes analyze broad sets of design variants to trade-off requirements among various disciplines. However, as studied in this thesis, existing methods and tools to analyze producibility do not cover all aspects that define the quality of welded structures. Furthermore, to this day, not all phenomena related to welding can be virtually modelled. Understanding causes and effects still relies on expert judgements and physical experimentation to a great deal. However, when it comes to assessing the capability of many geometrical variants, such an effort might be costly. This deficiency indicates the need for virtual assessment methods and systematic experimentation to analyze the producibility of the design variants and produce process capability data that can be reused in future projects.
To fulfill that need, this thesis provides support to designers in assessing producibility by virtually and rapidly predicting the welding quality of a large number of product design variants during the multidisciplinary design space process of fabricated aerospace components.
The first step has been to map the fabrication process during which producibility problems might potentially occur. The producibility conceptual model has been proposed to represent the fabrication process in order to understand how variation is originated and propagated.
With this representation at hand, a number of methods have been developed and employed to provide support to: 1) Identify and 2) Measure what affects producibility; 3) Analyze the effect of the interaction between factors that affect producibility and 4)Predict producibility. These activities and methods constitute the core of the proposed Design for Producibility framework. This framework combines specialized information about welding problems (know-hows), and inspection, testing and simulation data to systematically predict and evaluate the welding producibility of a set of product design variants.
Through this thesis, producibility evaluations are no longer limited to a single geometry and the study of the process parameter window. Instead, a set of geometrical variants within the design space can be analyzed. The results can be used to perform optimization and evaluate trade-offs among different disciplines during design space exploration and analysis, thus supporting the multidisciplinary design process of fabricated (welded) aerospace components.
Quality Assurance
Welding
Aerospace
Design for Producibility
Welding simulation
Variation Management
Design for Manufacturing
robust design
Author
Julia Madrid
Chalmers, Industrial and Materials Science, Product Development
An approach for producibility and DFM-methodology in aerospace engine component development
Procedia CIRP,;Vol. 11(2013)p. 151-156
Paper in proceeding
Enabling reuse of inspection data to support robust design: a case in the aerospace industry
Procedia CIRP,;Vol. 43(2016)p. 41-46
Paper in proceeding
Development of a conceptual framework to assess producibility for fabricated aerospace components
Procedia CIRP,;Vol. 41(2016)p. 681-686
Paper in proceeding
A Welding Capability Assessment Method (WCAM) to support multidisciplinary design of aircraft structures
International Journal on Interactive Design and Manufacturing,;Vol. 12(2018)p. 833-851
Journal article
A Virtual Design of Experiments Method to Evaluate the Effect of Design and Welding Parameters on Weld Quality in Aerospace Applications
Aerospace,;Vol. 6(2019)p. 74-
Journal article
A virtual design of experiments method to evaluate the effect of design andwelding parameters on weld quality in aerospace applications
Aerospace,;Vol. 6(2019)
Journal article
Mitigating Risk of Producibility Failures in Platform Concept Development
;(2018)
Paper in proceeding
Madrid, J., Andersson, P., Söderberg, R., Wärmefjord, K., Kveselys, D., Lindkvist, L. and Lööf, J. Automated and interactive evaluation of welding producibility in an MDO environment for aircraft components.
Until now, the evaluation of the effect that design concepts has on producibility criteria in the case of welded highly integrated performance aerospace components had relied to a great extent on expert judgement and physical testing. However, if the objective is to analyze a large number of geometrical design variants, this approach may become costly. The consequence is that integrated products are first evaluated and optimized towards performance, thus leaving producibility assessments in second place.
Thus, the key questions with which to assess producibility during the design process of highly integrated performance products that are welded are: Can we produce this design and at what quality level and cost?
The thesis results support designers at assessing producibility by predicting virtually and rapidly the welding quality of a large number of product design variants during the multidisciplinary design space process of fabricated aerospace components.
The research presented in this thesis has focused on producibility problems for the particular case of welded components in highly integrated performance applications. This research has aimed at contributing an understanding, as well as, providing support in the form of a framework, methods and tools to the field of Quality Engineering in general and Quality-Geometry Assurance and Variation Management in particular.
Subject Categories
Production Engineering, Human Work Science and Ergonomics
Aerospace Engineering
Manufacturing, Surface and Joining Technology
Areas of Advance
Production
ISBN
978-91-7905-384-0
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 4851
Publisher
Chalmers
On site at Virtual Development Laboratory (VDL), Chalmers University of Technology and Online via ZOOM Password 195859
Opponent: Professor Fredrik Elgh, Jönköping University, Sweden