“Predictive maintenance surveyor” design pattern for machine tools control software applications

ETFA2011 ◽  
2011 ◽  
Author(s):  
Felix Serna ◽  
Carlos Catalan ◽  
Alfonso Blesa ◽  
Jose Manuel Colom ◽  
Josep M. Rams
2021 ◽  
pp. 177-185
Author(s):  
B. Brockhaus ◽  
F. Hoffmann ◽  
J. Metternich ◽  
M. Weigold

Author(s):  
A. I. Kondakov

Productivity is the most important indicator of labor efficiency. Productivity estimates poorly take into account the interaction of production systems equipment and the technological complexity of labor objects. There is proposed an integral assessment of the performance of these systems, which characterizes the effectiveness of the financial expenses of production resources in the manufacture of parts. It is proposed to characterize their technological complexity by multiplying the increase in the labor subject value after technological impact by the part release volume. The proposed assessment can be used in the development of software applications that automate the tasks of analyzing the effectiveness of production systems.


2020 ◽  
Vol 110 (07-08) ◽  
pp. 496-500
Author(s):  
Felix Hoffmann ◽  
Benjamin Brockhaus ◽  
Joachim Metternich ◽  
Matthias Weigold

Predictive Maintenance ist eines der bestimmenden Themen im Kontext von Industrie 4.0. Ein Blick in heutige Produktionsstätten zeigt jedoch, dass die Voraussetzungen zur Umsetzung dieser Technologie für den überwiegenden Teil der Industrieanwendungen bisher nicht gegeben sind. Dieser Beitrag beschäftigt sich mit den notwendigen Schritten – vom Geschäftsmodell zur Anwendung in der industriellen Praxis – am Beispiel einer Schutzabdeckung für Werkzeugmaschinen.   Predictive maintenance is one of the defining topics in the context of Industrie 4.0, but a look at todays production facilities shows that the conditions for implementing this technology are not yet in place for the majority of industrial applications. This article is concerned with the necessary steps – from business model to application in industrial practice – using the example of a protective cover for machine tools.


Author(s):  
Michael F. Zaeh ◽  
Georg M. W. Wuensch ◽  
Clemens Poernbacher ◽  
Michael S. O. Ehrenstrasser

In machine tool development, control software engineering has reached a cost proportion of over fifty percent of the total development costs. Highly customized user requirements and the compulsion to shorten development cycles accompany the need to master risen quality requirements of the mechatronic product machine tool. This enforces a strategy change from prevailing sequential engineering to concurrent engineering. The paper proposes a Hardware-in-the-Loop simulation environment as an interdisciplinary discussion platform to virtually implement, evaluate and optimize a machine tool throughout all stages of development.


2015 ◽  
Vol 760 ◽  
pp. 9-14 ◽  
Author(s):  
George Draghici

The tools used for collaborative product design is based on PLM solutions, integrating BOM, CAD, CAE, CAPP, CAM and PDM software. The PLM platforms are distributed in virtual project team of partners. Currently, the integrated collaborative and distributed product design and manufacture can be supported by the cloud technology, given advances in Cloud Computing. The objective of our research is to develop an infrastructure for integrated collaborative and distributed product design and manufacturing, including software applications, CNC machine tools, additive manufacturing machines etc., dispersed in different universities labs for students’ education.


2019 ◽  
Vol 19 (1) ◽  
pp. 38-47
Author(s):  
Makoto FUJISHIMA ◽  
Masahiko MORI ◽  
Koichiro NARIMATSU ◽  
Naruhiro IRINO

Strong requirements for automation in the production processes using machine tools have been increasing due to lack of high-skilled machining engineers. Automation used to be utilised in mass production, but it is also necessary in medium- to low-volume production recently. Next requirements will be monitoring or sensing functions to make the following possible: prompt service when the machine stops; detection of abnormality before the machine breaks down; and compensation of thermal displacement to ensure machining accuracy. These now need to be performed automatically in place of operators so that abnormality can be detected during machining operation. In this paper core technologies to support automation system will be discussed which are operation monitoring, predictive maintenance, sensing interface and thermal displacement compensation as a sensing application.


Author(s):  
Miguel A´. Flores ◽  
Vicente Borja ◽  
A´lvaro Ayala ◽  
Marcelo Lo´pez

The selection of manufacturing resources affects the cost, time, and quality of products. Manufacturing resources must be selected to fulfill product design specifications and production requirements. One particular case of determining resources is the configuration of machine tools, as it includes the selection of the required machine tools and the corresponding cutters, fixtures and operation conditions. This paper describes a machine tools configuration process and a software application based on information models to assist it. The process has been devised to concurrently select resources and determine operation conditions, emphasizing the close relationship that exists between them and to guarantee their compatibility. The information models represent product and manufacturing data, and capture suppliers catalogues information. The software applications employ neural networks to select manufacturing process and resources, and genetic algorithms to determine operation conditions to obtain a compromise between cost, time and quality. The utility of the approach is explored through a case study.


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