Simplifying the Development and Usage of Fixtures for Sheet Metal and Composite Aircraft Parts

1998 ◽  
Vol 122 (2) ◽  
pp. 370-373
Author(s):  
Daniel F. Walczyk ◽  
Vinay Raju

Based on a survey of small- to medium-sized companies that supply sheet metal parts to the major aircraft manufacturers, there is a need for a more simplified, flexible and inexpensive method to design, fabricate and register part fixtures used for CNC post forming operations (e.g., trimming, drilling). Consequently, a method has been developed that bases fixture development completely on the CAD model, eliminates the need for datum surfaces and registration features on the CNC machine workbed, and makes fixture fabrication as easy and inexpensive as possible while still maintaining high geometrical accuracy. Practical implementation of this simplified method and an actual case study are discussed. [S1087-1357(00)00102-7]

Author(s):  
Cheng-Hua Wang ◽  
David A. Bourne

Abstract In this paper, we present an approach to recognize symmetries of bent sheet-metal parts at different manufacturing stages. This approach is based on Waltzman’s (Waltzman, 1987) 2D symmetry detection algorithm. 3D symmetry is recognized by considering its 2D symmetry and the associated bending transformations. We show, by recognizing that the part is symmetrical, that the planning complexity for processes in sheet-metal production can be greatly reduced. This paper is motivated by the fact that a significant percentage of sheet-metal parts are symmetrical. We have studied over 200 industrial parts and over 40% of them are symmetrical. Examples from sheet-metal nesting (layout planning), bending, stacking, product decomposition and assembly planning are discussed.


2012 ◽  
Vol 6 (3) ◽  
pp. 312-321 ◽  
Author(s):  
Ruisheng Ng ◽  
◽  
Zhiquan Yeo ◽  
Chee Wai Patrick Shi ◽  
Fatida Rugrungruang ◽  
...  

Sustainable manufacturing is increasingly being recognized as the direction for technological innovation and implementation in industry. However, to measure and guide technology conceptualization, development, and deployment decisions, a quantifying indicator that is easy to understand is required. The carbon footprint (CFP) is found to be an effective indicator, as its value reflects essential elements of sustainability in manufacturing: materials, energy, and waste treatment. The existing standards provide a general framework to guide CFP quantification but lack explicit formulas for easy adoption. This paper presents an algorithmic approach that aims to granularize the emission source to streamline CFP quantification. This approach pinpoints the direct and indirect contributions and the respective task owners, decentralizes the responsibilities in data collection, and ascertains the degree of control to set realistic targets for CFP reductions. A case study is carried out in a manufacturer of sheet metal parts. Results show that indirect emissions from materials, energy, and transport collectively contribute 27% of product CFP.With the algorithmic approach, carbon reduction strategies can be formulated by setting priorities and realistic targets and then delegating to the task owners the reduction of the CFP of their respective areas. The current work establishes a base that can help companies to adopt CFP quantification and formulate carbon reduction strategies.


Author(s):  
Thiago Weber Martins ◽  
Christian Steinmetz ◽  
Katharina Albrecht ◽  
Reiner Anderl

Within the Collaborative Research Center 666 the algorithm based product development process has been established. It is based on state of the art product development methodologies and enhanced in order to optimize the product development process of integral bifurcated sheet metal parts. Algorithms based on mathematical optimization approaches as well as the initial product requirements and constraints information are applied to obtain an optimized design as CAD-Model. Regarding this methodology there are still some challenges to be solved, such as reduction of iterations steps to elaborate final product design as CAD-model, use of heterogeneous data as well as software and enhancement of information exchange. Therefore, this paper introduces a concept for a web-based application to support the algorithmic product development methodology and CAD modeling in CRC 666. It enables the development and adaptation of integral bifurcated parts based on the initial optimization data provided by XML-files. Besides the description of use cases and use scenarios, the concept is implemented as a web-based application for validation purposes. Based on the validation, advantages and limitations of the presented approach are discussed.


Author(s):  
Felix Claus ◽  
Hans Hagen ◽  
Bernd Hamann

AbstractThis paper presents an iterative finite element (FE)–based method to calculate the gravity-free shape of nonrigid parts from an optical measurement performed on a non-over-constrained fixture. Measuring these kinds of parts in a stress-free state is almost impossible because deflections caused by their weight occur. To solve this problem, a simulation model of the measurement is created using available methods of reverse engineering. Then, an iterative algorithm calculates the gravity-free shape. The approach does not require a CAD model of the measured part, implying the whole part can be fully scanned. The application of this method mainly addresses thin, unstable sheet metal parts, like those commonly used in the automotive or aerospace industry. To show the performance of the proposed method, validations with simulation and experimental data are presented. The shown results meet the predefined quality goal to predict shapes within a tolerance of ± 0.05 mm measured in surface normal direction.


Author(s):  
Yanfeng Xing ◽  
Jun Ni ◽  
Shuhuai Lan

Sheet metal parts easily deformed during clamping and welding, and fixture layout design is very difficult because it takes a long time to calculate and read displacements of all nodes. This paper proposes a method to optimize fixture scheme by a social radiation algorithm (SRA). Firstly unfeasible candidate nodes are eliminated by some rules according to manufacturing experiences. Afterwards some feasible zones are optimized by SRA. Finally the best fixture layout is obtained through selecting the feasible nodes among the optimal zones. A case study of guiding gutter is used to illustrate the proposed method, and the results show that the social radiation algorithm has better efficiency and higher accuracy than the genetic algorithm.


2001 ◽  
Vol 4 (3-4) ◽  
pp. 319-333
Author(s):  
Vincent Lemiale ◽  
Philippe Picart ◽  
Sébastien Meunier

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