Optimal Placement of Actuators Via Sparse Learning for Composite Fuselage Shape Control

Juan Du, Xiaowei Yue, Jeffrey H. Hunt, Jianjun Shi
October 2019
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Abstract

Shape control is critical in the composite fuselage assembly process due to dimensional variabilities. This study introduces an optimal actuator placement method using a sparse learning model and ADMM algorithm to efficiently control fuselage shape and minimize deviations.

Type
Journal article
Publication
Journal of Manufacturing Science and Engineering

Motivation

  1. There are natural dimensional variations in fuselage due to multiple suppliers or multiple manufacturing batches.
  2. The interface of section requires shape adjustment to the target before assembly.
  3. Actuators are used for shape adjustment in practice.

Technical Challenge

Dimensional variations affect assembly speed and quality of section-to-fuselage joins.

Innovative Sparse Learning Modeling

  1. Consider incoming fuselage dimensions.
  2. General structure such as composite fuselage.
  3. Convex formulation.

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Actuator Placement Composite Fuselage Shape Control Sparse Learning ADMM
Juan Du
Juan Du
Assistant Professor

My research interests include knowledge-infused data science for quality improvement, industrial data analytics and machine learning, and system informatics and control for manufacturing applications.