scholarly journals A design for manufacturing methodology using defects knowledge for aerospace product manufacturing

Author(s):  
Mohammed Elsouri ◽  
James Gao ◽  
Clive Simmonds ◽  
Nick Martin

Defects generated by the UK supply chain is much higher than its global competitors. Defects impact costs and production throughput due to unpredictable disruptions resulting in many non-value adding activities. However, defects data associated knowledge have rarely been considered and implemented as the manufacturing capability in existing design for manufacturing and assembly (DFMA) data/knowledge bases. On the other hand, current ICT systems used in the aerospace industry are not flexible enough to keep up with the new requirements of collaborating to manage knowledge properly, and the use of real-time manufacturing data generated in manufacturing activities. This research was carried out in collaboration with one of the UK’s largest aerospace companies in order to analyse the complexity of design and manufacturing activities of high-value safety-critical aerospace products. The results of the work are presented, and a novel approach and system was developed, that can be used to support DFMA using defects knowledge. The approach was implemented as a knowledge management system using collaborative design principles. Key findings from the main contribution in the context of extended enterprises of high value low volume safety critical product manufacturing are discussed.

2021 ◽  
Vol 6 (5) ◽  
pp. 62
Author(s):  
John Morris ◽  
Mark Robinson ◽  
Roberto Palacin

The ‘short’ neutral section is a feature of alternating current (AC) railway overhead line electrification that is often unreliable and a source of train delays. However hardly any dynamic analysis of its behaviour has been undertaken. This paper briefly describes the work undertaken investigating the possibility of modelling the behaviour using a novel approach. The potential for thus improving the performance of short neutral sections is evaluated, with particular reference to the UK situation. The analysis fundamentally used dynamic simulation of the pantograph and overhead contact line (OCL) interface, implemented using a proprietary finite element analysis tool. The neutral section model was constructed using physical characteristics and laboratory tests data, and was included in a validated pantograph/OCL simulation model. Simulation output of the neutral section behaviour has been validated satisfactorily against real line test data. Using this method the sensitivity of the neutral section performance in relation to particular parameters of its construction was examined. A limited number of parameter adjustments were studied, seeking potential improvements. One such improvement identified involved the additional inclusion of a lever arm at the trailing end of the neutral section. A novel application of pantograph/OCL dynamic simulation to modelling neutral section behaviour has been shown to be useful in assessing the modification of neutral section parameters.


Author(s):  
William C. Regli

Abstract This paper describes our initial efforts to deploy a digital library to support engineering design and manufacturing. This experimental testbed, The Engineering Design Repository, is an effort to collect and archive public domain engineering data for use by researchers and engineering professionals. CAD knowledge-bases are vital to engineers, who search through vast amounts of corporate legacy data and navigate online catalogs to retrieve precisely the right components for assembly into new products. This research attempts to begin addressing the critical need for improved computational methods for reasoning about complex geometric and engineering information. In particular, we focus on archival and reuse of design and manufacturing data for mechatronic systems. This paper presents a description of the research problem and an overview of the initial architecture of testbed.


Author(s):  
Santiago V. Lombeyda ◽  
William C. Regli

Abstract This paper presents an approach to support computer-aided conceptual design of mechatronic assemblies in a collaborative, multi-user environment. We describe a system, Conceptual Understanding and Prototyping (CUP), that allows a team of design engineers, collaborating over the Internet, to develop a high-level structure-function-behavior (S-B-F) description of an assembly in a VRML-based virtual environment. Our goal is to enable users to navigate intricate product data management (PDM) and case-based design knowledge-bases, providing the ability to perform design at conceptual level and have intelligent CAD tools that can draw on details from large repositories of previously archived designs. This work furthers research efforts in computer support for collaborative design activities — drawing on work in Human-Computer Interaction (HCI) and Computer Supported Collaborative Work (CSCW). We envision CUP to be a network interface to next-generation of engineering PDM systems and CAD databases. We are deploying CUP as query interface to the National Design Repository (http://repos.mcs.drexel.edu). This will enable CAD users to interrogate large quantities of legacy data and identify artifacts with structural and functional similarities — allowing designers to perform case-based and variant design.


Author(s):  
Patricia Kügler ◽  
Claudia Schon ◽  
Benjamin Schleich ◽  
Steffen Staab ◽  
Sandro Wartzack

AbstractVast amounts of information and knowledge is produced and stored within product design projects. Especially for reuse and adaptation there exists no suitable method for product designers to handle this information overload. Due to this, the selection of relevant information in a specific development situation is time-consuming and inefficient. To tackle this issue, the novel approach Intentional Forgetting (IF) is applied for product design, which aims to support reuse and adaptation by reducing the vast amount of information to the relevant. Within this contribution an IF-operator called Cascading Forgetting is introduced and evaluated, which was implemented for forgetting related information elements in ontology knowledge bases. For the evaluation the development process of a test-rig for studying friction and wear behaviour of the cam/tappet contact in combustion engines is analysed. Due to the interdisciplinary task of the evaluation and the characteristics of semantic model, challenges are discussed. In conclusion, the focus of the evaluation is to consider how reliable the Cascading Forgetting works and how intuitive ontology-based representations appear to engineers.


2018 ◽  
Vol 34 (S1) ◽  
pp. 55-55
Author(s):  
Fay McCracken ◽  
Carla Deakin

Introduction:Getting technologies adopted in the UK healthcare system can be time-consuming and complex. The National Institute for Health and Care Excellence Office for Market Access (NICE OMA) has developed a novel approach to enable greater and more coordinated dialogue between life sciences companies and healthcare system stakeholders on market access issues.Methods:When establishing NICE OMA, interactions were carried out with life sciences trade associations and key healthcare system stakeholders to explore challenges in market access landscape. Feedback highlighted that dialogue with NICE and other stakeholders is often limited and occurs in high-risk situations; indicating a need for greater and more coordinated dialogue between industry and multiple healthcare system stakeholders outside of formal processes.Results:The approach developed is a safe harbor engagement framework which enables NICE OMA to facilitate interaction between life sciences companies and key healthcare system stakeholders; this collaborative approach promotes shared understanding of aspects that will allow innovative technologies to reach patients faster. It brings together multiple organizations in a safe environment where ideas can be exchanged between participants, allowing organizations to think beyond their own area of interest and to work collaboratively. Companies have used the engagement framework flexibly to engage at different stages along the development to adoption journey. Feedback indicates that companies have benefitted from channeling discussions through NICE to bring together key leaders from different organizations, as well as the neutral facilitation of discussions. Healthcare system partners have gained insights/knowledge that hadn't been apparent beforehand. Patient and clinical representatives have appreciated the opportunity to provide views to a broad range of stakeholders often early in the development of the technology.Conclusions:The NICE OMA safe harbor engagement framework has been well-received to date. Further feedback will be sought to understand the impact in helping to optimize the market access journey.


Author(s):  
Khayra Bencherif ◽  
Mimoun Malki ◽  
Djamel Amar Bensaber

This article describes how the Linked Open Data Cloud project allows data providers to publish structured data on the web according to the Linked Data principles. In this context, several link discovery frameworks have been developed for connecting entities contained in knowledge bases. In order to achieve a high effectiveness for the link discovery task, a suitable link configuration is required to specify the similarity conditions. Unfortunately, such configurations are specified manually; which makes the link discovery task tedious and more difficult for the users. In this article, the authors address this drawback by proposing a novel approach for the automatic determination of link specifications. The proposed approach is based on a neural network model to combine a set of existing metrics into a compound one. The authors evaluate the effectiveness of the proposed approach in three experiments using real data sets from the LOD Cloud. In addition, the proposed approach is compared against link specifications approaches to show that it outperforms them in most experiments.


2002 ◽  
Vol 46 (4-5) ◽  
pp. 427-434 ◽  
Author(s):  
M.E. Mayhew ◽  
M.S. Le ◽  
R. Ratcliff

Revision of the Sludge (Use in Agriculture) Regulations in the UK has resulted in the requirement of a final product standard in terms of E coli per gram of dry solids. Conventional mesophilic digestion including 14-day secondary storage should normally provide adequate treatment to meet the Treated Sludge Standard. Any process capable of greater pathogen reduction would ensure more process security and compliance comfort. Such a process would be a welcome alternative to extra secondary storage where an existing works does not have sufficient capacity, particularly if the differences in costs between the options are small. Enzymic hydrolysis was found to be up to ten-fold more effective in E coli reduction than conventional secondary digestion. A two-stage digestion process based on this technique has been developed by United Utilities and Montgomery Watson Harza (termed the enzymic hydrolyser, patent pending). Studies showed that the mean numbers of E coli were significantly lower in the enzymic hydrolyser systems (P>0.05; t=13.19) compared to conventional digesters. Increased stability was a secondary benefit of the system (foam was eliminated or greatly reduced in the enzymic hydrolyser units). Another benefit of the system for retrofit to existing assets is the decreased tankage volumes required compared to secondary digestion to achieve more than twice the log kill of pathogens.


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