Forming a common information space for mechanical engineering cluster product life cycle based on CALS technologies principles

Author(s):  
A. Yu. Panov ◽  
S. V. Kuznetsov ◽  
S. V. Ivanov

2019 ◽  
Vol 2019 (4) ◽  
pp. 44-48
Author(s):  
Aleksandr Feofanov ◽  
Andrey Okhmat ◽  
Anton Berdyugin

The article discusses the concepts of virtual and augmented realities. The comparison of themwas carried out in order to identify their similarities and differences. The areas of application of these technologies are identified, and the examples of their use are given. The ways of application of VR/AR technologiesin mechanical engineeringare defined, in particular, at the stage of the outline design of the product life cycle. The examples of the use of VR/AR technologies in Russian industrial companies are given.



2021 ◽  
pp. 457-464
Author(s):  
Peter F. Pelz ◽  
Peter Groche ◽  
Marc E. Pfetsch ◽  
Maximilian Schaeffner

AbstractBertolt Brecht once closed a text with the words “We are disappointed to see the curtain close and all questions are left unanswered” [1]. In this book, it has become clear that uncertainty is immanent in the product life cycle of technical systems in mechanical engineering from (B) production, (C) usage, (D) reuse to (E) sourcing. The latter is the starting phase of the following sequence B, C, D, E. Uncertainty has been relevant since the beginning of the industrialisation, cf. Theodor Fontane’s ballad ‘The Tay Bridge’ quoted in Chap. 10.1007/978-3-030-78354-9_1 and this will continue to be so. Hence, we will never see “the curtain close”, but a perpetual contribution of engineering science, applied mathematics, law and further branches of science to master uncertainty in mechanical engineering.



2021 ◽  
pp. 113-207
Author(s):  
Maximilian Schaeffner ◽  
Eberhard Abele ◽  
Reiner Anderl ◽  
Christian Bölling ◽  
Johannes Brötz ◽  
...  

AbstractThis chapter describes the various approaches to analyse, quantify and evaluate uncertainty along the phases of the product life cycle. It is based on the previous chapters that introduce a consistent classification of uncertainty and a holistic approach to master the uncertainty of technical systems in mechanical engineering. Here, the following topics are presented: the identification of uncertainty by modelling technical processes, the detection and handling of data-induced conflicts, the analysis, quantification and evaluation of model uncertainty as well as the representation and visualisation of uncertainty. The different approaches are discussed and demonstrated on exemplary technical systems.



Author(s):  
B. M. Bazrov ◽  
M. L. Kheifetz

The shortcomings of the traditional description of mechanical engineering product are shown, which are based on technological features oriented to single, typical and group operations of the technological process. It was proposed to represent the design of product and its parts with a structured set of relevant technological modules, in the form of a graph of hierarchical structure. The numerical characteristics of the structure of the graph of product, its levels, nodes, branches are considered. The description of the structures of products by a hierarchical graph at the first level makes it possible to identify the functional technological modules of products and, on their basis, to construct a unified classification and to suggest coding products, both for production objects and operation. Representation of parts by a set of modules allows identifying surface modules, working and binding, and on their basis to build a single classification of parts focused on different stages of the product life cycle. The presence of a unified methodological base allows managing the development of constructively complex products, minimizing duplication in the creation of new designs and effectively developing resource-saving technologies for their manufacture.



2018 ◽  
Vol 885 ◽  
pp. 156-169
Author(s):  
Ingo Dietrich ◽  
Philipp Hedrich ◽  
Christian Bölling ◽  
Nicolas Brötz ◽  
Felix Geßner ◽  
...  

Narrow tolerances are commonly used to control uncertainty in the production of technicalcomponents. However, narrow tolerances lead to financial expense and limit flexibility. In this paperthe concept of a resilient process chain is presented. This concept covers the product life cycle phases ofproduction and usage. It is enabled by the digitalization in mechanical engineering and offers access tovariable process windows instead of rigid tolerances. First steps of this concept are then applied to the TU Darmstadt active air spring. The active air spring can be used to increase the driving comfort in avehicle or, for instance, to minimize kinetosis during autonomous driving. The focus hereby is toidentify possible production influences on the behaviour of the components usage. For this purpose, theactuator of the active air spring is specifically manufactured with typical uncertainty of high precisionmachining of the bore and characterized experimentally in a test rig. The results show an influenceof the production on the efficiency of the actuator. The measurements are fundamental to establish aresilient process chain on the active air spring.



2014 ◽  
Author(s):  
Gretchen Jordan ◽  
Jonathan Mote ◽  
Rosalie Ruegg ◽  
Thomas Choi ◽  
Angela Becker-Dippmann


2021 ◽  
Vol 1092 (1) ◽  
pp. 012049
Author(s):  
M Mohammed ◽  
A Romli ◽  
R Mohamed ◽  
A Noormazlinah




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